Courses2024

Free Download Debt Management - Restructuring Strategies And Case Studies Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.50 GB | Duration: 2h 58m Unlock the secrets of debt restructuring and elevate your financial decision-making with our expert-led course What you'll learn Foundational Concepts of Debt Restructuring: A comprehensive introduction to the principles of debt restructuring, including why it is essential for businesses Objectives and Triggers of Debt Restructuring: Understand the key objectives behind restructuring debt and the scenarios that trigger the need to restructure. Methods of Debt Restructuring: Explore various methods used to restructure debt, including reduction in margins and management restructuring. Pros and Cons of Debt Restructuring: Analyze the benefits and drawbacks of restructuring debt from both borrower and lender perspectives. Steps in the Debt Restructuring Process: A step-by-step breakdown of how debt restructuring works, guiding students through the entire process. Real-World Case Studies: In-depth analysis of famous debt restructuring case studies, such as Essar Steel, Kingfisher Airlines, and Wockhardt. Financial Viability Parameters: Learn how to assess financial viability through key metrics like Debt Service Coverage Ratio (DSCR). Illustrations and Practical Examples: Gain hands-on experience by exploring real-life examples of how lenders evaluate debt restructuring proposals. Requirements Fundamentals of Finance: Familiarity with basic financial statements (balance sheet, income statement) and key financial metrics. Business Management or Accounting Knowledge: Some experience or background in business finance, accounting, or corporate management will provide a better context for debt restructuring concepts. Interest in Corporate Finance or Debt Management: A keen interest in how businesses manage debt and navigate financial challenges will be beneficial. Description Introduction:Welcome to the Debt Restructuring Masterclass, a comprehensive course designed to provide you with deep insights into the critical aspects of debt restructuring. This course explores the methods, steps, pros and cons, and financial parameters involved in restructuring debt. You will also gain valuable knowledge through real-life case studies of companies that underwent significant restructuring. By the end of the course, you will have a firm grasp of the strategies and techniques used to effectively manage and restructure debt.Section 1: IntroductionOur journey begins with an introduction to the fundamental concepts of debt restructuring. In Lecture 1, you'll learn about the purpose of restructuring debt and why it is a crucial tool for both companies and financial institutions. Lecture 2 continues this exploration, providing more in-depth analysis and highlighting key elements that drive debt restructuring decisions.Section 2: OverviewIn this section, we focus on the objectives behind debt restructuring. Lecture 3 delves into the core goals, such as improving liquidity and maintaining business continuity. Lecture 4 examines the triggers that compel organizations to consider restructuring, such as declining profits or regulatory pressures, and how restructuring can restore financial stability.Section 3: Methods of Debt RestructuringHere, we uncover various methods utilized in debt restructuring. Lecture 5 introduces you to common techniques like extending debt maturities or converting debt into equity. Lecture 6 builds on these concepts, while Lecture 7 explores more advanced strategies, including reducing margins and making changes to management, to ensure a successful restructuring process.Section 4: Pros and Cons of Debt RestructuringEvery financial strategy has its advantages and disadvantages, and debt restructuring is no exception. Lecture 8 and Lecture 9 highlight the key pros, such as preventing bankruptcy and improving cash flow. On the other hand, Lecture 10 addresses the cons, such as potential harm to credit ratings and the impact on future borrowing.Section 5: Steps of Debt RestructuringUnderstanding the steps involved in debt restructuring is crucial for effective implementation. Lecture 11 outlines a step-by-step guide to debt restructuring, from assessing financial health to negotiating with lenders. In Lecture 12, we continue discussing the essential steps, including legal considerations and stakeholder management.Section 6: Real-Life Case StudiesThis section brings theory into practice with real-life case studies of companies that have undergone debt restructuring. In Lecture 13, we examine the restructuring of Essar Steel, one of India's largest steel producers. Lecture 14 takes a deep dive into the famous case of Kingfisher Airlines, while Lecture 15 covers Wockhardt, a major pharmaceutical company. These case studies will illustrate the impact of restructuring decisions on corporate survival and recovery.Section 7: Financial Viability ParametersTo assess the success of debt restructuring, financial viability metrics are critical. In Lecture 16, we analyze the Debt Service Coverage Ratio (DSCR), a key measure of a company's ability to repay its obligations. Lecture 17 introduces Return on Capital Employed (ROCE), while Lecture 18 focuses on the Internal Rate of Return (IRR) and Cost of Capital (COC). Lecture 19 and Lecture 20 wrap up with discussions on Break-Even Analysis, Gross Profit Margins, and the Loan Life Coverage Ratio (LLCR), essential for evaluating restructuring outcomes.Section 8: Example of IllustrationsIn this final section, we explore how lenders assess restructuring proposals. Lecture 21 outlines the factors considered by lenders during the restructuring process, such as creditworthiness and future growth prospects. Lecture 22 provides illustrative examples to highlight these factors in action. Lastly, Lecture 23 revisits the Corporate Debt Restructuring (CDR) of Kingfisher Airlines, providing a detailed example of how complex restructuring negotiations unfold.Conclusion:In this course, you have explored the complexities of debt restructuring from the ground up. From understanding the foundational principles and methods to analyzing real-world case studies, you now possess the knowledge and tools to engage in effective debt restructuring strategies. Whether you're a financial professional or a business leader, these insights will help you navigate challenging financial landscapes and ensure better decision-making for long-term success. Overview Section 1: Introduction Lecture 1 Introduction to Debt Restructuring Lecture 2 Introduction to Debt Restructuring Continues Section 2: Overview Lecture 3 Objectives of Debt Restructuring Lecture 4 Trigged Objectives of Debt Restructuring Section 3: Methods of Debt Restructuring Lecture 5 Methods of Debt Restruction Lecture 6 More on Methods of Debt Restruction Lecture 7 Reduction in Margins and Restructing of Management Section 4: Pros and Cons of Debt Restructuring Lecture 8 Pros of Debt Restructuring Lecture 9 Pros of Debt Restructuring Continues Lecture 10 Cons of Debt Restructuring Section 5: Steps of Debt Restructuring Lecture 11 Steps of Debt Restructuring Lecture 12 Steps of Debt Restructuring Continues Section 6: Real Life case Studies Lecture 13 Case Study of Essar Steel Lecture 14 Case Study of Kingfisher Airlines Lecture 15 Case Study of Wockhard Section 7: Financial Viability Parameters Lecture 16 Debt Service Coverage Ratio Lecture 17 Returned on Capital Employed Lecture 18 Internal Rate of Returns(IRR) and Cost of Capital (COC) Lecture 19 Break Even Analysis and Gross Profit Margins Lecture 20 Loan Life Coverage Ratio Section 8: Example of Illustrations Lecture 21 Factors Being Considered by Lender Lecture 22 Example of Illustrations Lecture 23 CDR of Kingfisher Airlines Finance and Accounting Professionals: Individuals working in finance, accounting, or corporate management who want to deepen their understanding of debt restructuring and management strategies.,Business Owners and Entrepreneurs: Those running businesses, particularly in financially distressed situations, will benefit from learning how to manage debt and navigate restructuring options effectively.,Investors and Financial Analysts: People involved in evaluating companies for investment or advisory roles will gain insights into how debt restructuring impacts financial health and corporate performance.,Students and Academics: Finance or business students looking to broaden their knowledge of corporate finance and gain practical skills in debt management and restructuring.,Corporate Advisors and Legal Professionals: Consultants, legal experts, and corporate advisors who deal with business turnarounds, restructuring, and financial viability analysis. 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Free Download Datacenter and MDF/IDF Tech 5+ hours course Last updated 4/2024 Created by Jeff Diamond MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 31 Lectures ( 5h 20m ) | Size: 3.66 GB Practical skills in server rooms, MDFs and IDFs, racking, etc. What you'll learn Real world tasks and skills performed by data center technicians Tours of REAL equipment rooms WAN and DHCP Server configuration Cyber security via IPSEC Ether-channel for vastly increasing data throughput HSRP redundancy Spanning Tree Protocol functions and administration Network validation, testing, and troubleshooting. Requirements Have Packet-Tracer or GNS3 installed on your device. Minimal pre-knowledge needed. At least know the basics of what a network is. Have a desire to learn datacenter networking Description What will I learn in this course?This is a massive course over 5 hours wherein you will learn some real-world tasks that data center technicians actually do, in hands-on labs AND learning as I take you into REAL equipment rooms with real running networks and racked devices. These skills also fulfill many of the Network+ exam goals, too. So, if you are planning to take either of those exams, you may find this course extremely valuable.What do I get with this course?Real-world networking skills and a FREE copy of my book On the Command Line with 100 commands and configurations (also on Amazon).What will I need to take this course?A desire to learn and a network simulation app such as Packet Tracer or GNS3, or any other simulated environment you prefer.What does this course contain?CCNA Data Center Technician is a hands-on course where you will learn many real-world common tasks performed by professional data center technicians. ALL subject matter herein also fulfills many of your 200-301 CCNA exam goals. Part 1We will begin by building and configuring our WAN, complete with real-world redundancy via HSRP. We will also learn about the importance of Spanning Tree Protocol and how to administer and monitor its status. These lectures contain information vital to fulfilling many of the 200-301 CCNA and Network+ exam goals.Part 2In part 2 of this course, we configure a DHCP server to operate over a WAN comprised of our SOHO network, cloud network, and a data center. Then we add in cybersecurity measures via Trusted Ports to protect our networks against a man-in-the-middle attack. We add in the ability for our client to log in remotely using SSH, along with other configurations that fulfill 200-301 CCNA and Network+ exam goals. You will also learn new show commands for monitoring and troubleshooting. Technology is for everyoneEveryone of any age and background can learn IT and gain a higher paying career, and I want you to be one of them. Thank you for visiting, and I hope to see you in class.Jeff DiamondCCNA / FOA CPCT, CFOT Who this course is for All levels of IT skill, from beginners on up to professionals. Beginners welcome because we go step-by-step. Homepage https://www.udemy.com/course/ccna-data-center-technician-lets-learn-data-center-tech/ Screenshot Rapidgator https://rg.to/file/577357477c6088ce63725bcb9d744fbd/xrqps.Datacenter.and.MDFIDF.Tech.5.hours.course.part4.rar.html https://rg.to/file/7c7ff90288af019503a7985537dcfd8f/xrqps.Datacenter.and.MDFIDF.Tech.5.hours.course.part2.rar.html https://rg.to/file/ada63017da369a5346098d1043d382af/xrqps.Datacenter.and.MDFIDF.Tech.5.hours.course.part3.rar.html https://rg.to/file/db3bfaeb200543c03465174645bdfa89/xrqps.Datacenter.and.MDFIDF.Tech.5.hours.course.part1.rar.html Fikper Free Download https://fikper.com/H0QUQc5JzE/xrqps.Datacenter.and.MDFIDF.Tech.5.hours.course.part3.rar.html https://fikper.com/K1RDbvpeSJ/xrqps.Datacenter.and.MDFIDF.Tech.5.hours.course.part1.rar.html https://fikper.com/UdSq9ynv7e/xrqps.Datacenter.and.MDFIDF.Tech.5.hours.course.part2.rar.html https://fikper.com/ZxUbvBXwTT/xrqps.Datacenter.and.MDFIDF.Tech.5.hours.course.part4.rar.html No Password - Links are Interchangeable

Free Download Data-Driven Leadership Strategic Impact Of Data Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.22 GB | Duration: 1h 0m Creating Awareness for the vast growing Strategic Impact of Data in Traditional and Digital Business. What you'll learn Getting familiar with all definitions and components of data-related topics Understanding of the contribution of data to business success Understanding the challenges of a vast and daily growing amount of data to be handled Senior Management will understand where they fall short in terms of opportunity cost and the benefits derived therein This course will help senior managers validate the starting position for a data journey Requirements No prior knowledge of data or data management is required Description This module offers a comprehensive exploration of data's pivotal role in both traditional and digital businesses. It begins by examining the significance of data in business operations, focusing on how organizations can build trust and confidence in data to make informed decisions. Parti[beeep]nts will explore the transformative concept of data-driven business, emphasizing data as a strategic asset.The course will delve into the data ecosystem, fostering an understanding of data culture and data citizenship, and how these shape modern society. Learners will also gain insight into data's role in enterprise architecture, discovering how it integrates into business solutions for increased efficiency and innovation.A key focus is placed on the data management process framework and how organizations can structure themselves to maximize data's business benefits. Parti[beeep]nts will assess opportunity costs, evaluate common mistakes, and conduct a self-assessment to gauge their organization's data maturity.Finally, the course offers a retrospective look at the evolution of data and the data journey, from early data collection practices to the modern era of big data and advanced analytics. The module equips learners with the skills to navigate the complexities of data management while leveraging data as a valuable business asset.Table of content:Data in Traditional and Digital BusinessTrust and Confidence in DataData-driven BusinessData as an AssetData Eco-System, Data Culture, Data Society and Data CitizenshipData as Part of the Enterprise Solution ArchitectureData Management Process FrameworkData Management OrganizationBusiness BenefitsOpportunity CostsCommon MistakesEvolution of Data ManagementSelf-AssessmentData JourneyData StrategyThe eLearning course on the strategic impact of data in business targets four main groups: Senior Managers and Board Members seeking to understand the role of data in traditional and digital business models. Business Development Managers and Influencers of Senior Management who need to explain the strategic value of data and initiate data-driven projects aligned with business goals. Data Management Professionals aiming to elevate data management maturity and demonstrate its strategic impact. Lastly, Students and Data Enthusiasts are included to gain insight into how data drives business development and innovation in both traditional and digital contexts. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Data in Traditional and Digital Business Lecture 2 Data in Tradtional and Digital Business Lecture 3 Trust and Confidence Lecture 4 Data-Driven Business Lecture 5 Data as an Asset Lecture 6 Data Eco-System, Data Culture, Data Society and Data Citizenship Lecture 7 Data as Part of an Enterprise Solution Architecture Lecture 8 Data Management Process Framework Lecture 9 Data Management Organization Section 3: Business Benefits, Opportunity Costs and Common Mistakes Lecture 10 Business Benefits Lecture 11 Opportunity Costs Lecture 12 Common Mistakes Section 4: Self Assessment and Conclusion Lecture 13 Evolution of Data Management, Self Assessment and Data Journey Lecture 14 Conclusion and Data Strategy Section 5: Outroduction Lecture 15 Outroduction Senior Managers and Board Members who want to get a better understanding of the strategic impact of data in traditional and digital business models,Business Development Managers and Influencers of Senior Management who need to explain the strategic impact of data and who intend to launch Data Initiatives required to meet Business Objectives,Data Management Professionals who need to explain the strategic impact of data and who intend to launch Data Initiatives required to get Data Management on required Maturity Level,Students and Data Enthusiasts, who intend to understand the Strategic Impact of Data in Business Development and Traditional and Digital Business Models Screenshot Homepage https://www.udemy.com/course/data-driven-leadership-strategic-impact-of-data/ Rapidgator https://rg.to/file/0cb5e8edda7e9c15eb954247533ed79f/proso.DataDriven.Leadership.Strategic.Impact.Of.Data.part2.rar.html https://rg.to/file/4bbde427c363225e64216670e81f4cf9/proso.DataDriven.Leadership.Strategic.Impact.Of.Data.part3.rar.html https://rg.to/file/64bc5f7b292a96c2c0658f7f3539451b/proso.DataDriven.Leadership.Strategic.Impact.Of.Data.part1.rar.html Fikper Free Download https://fikper.com/I4mvTJbkE2/proso.DataDriven.Leadership.Strategic.Impact.Of.Data.part3.rar.html https://fikper.com/lKMbL4qdHc/proso.DataDriven.Leadership.Strategic.Impact.Of.Data.part1.rar.html https://fikper.com/wMVtplzcLY/proso.DataDriven.Leadership.Strategic.Impact.Of.Data.part2.rar.html No Password - Links are Interchangeable

Free Download Data and Database Fundamentals for CompTIA Tech+ Released 10/2024 By Warner Chaves MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 45m | Size: 234 MB This course will teach you the basics of database concepts, data structures, data viewing options, and a backup plan for the CompTIA Tech+ exam. In an increasingly data-driven world, professionals in Information Technology face the challenge of effectively managing and leveraging data to support organizational needs. In this course, Data and Database Fundamentals for CompTIA Tech+, you will learn to understand technologies related to implementing data structures in database services. First, you'll explore the value of data in Information Technology used by various structure options for those dependent on data to run organizations. Next, you'll discover the concepts and purpose of various database services and the data structures that can be used. Finally, you'll learn the steps and importance of backups for a failover system. When you finish this course, you'll have the skills and knowledge of data and database fundamentals needed for the CompTIA Tech+ exam. Homepage https://www.pluralsight.com/courses/data-database-fundamentals-comptia-tech-plus Screenshot Rapidgator https://rg.to/file/ac2e754b8f96afbe3c3ac582f5faedcd/txelj.Data.and.Database.Fundamentals.for.CompTIA.Tech.rar.html Fikper Free Download https://fikper.com/IzKFjHpiuG/txelj.Data.and.Database.Fundamentals.for.CompTIA.Tech.rar.html No Password - Links are Interchangeable

Free Download Data Visualization Using Tableau by IIBM Institute Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.63 GB | Duration: 12h 46m "Data Visualization Using Tableau : Data Visualization ,Tableau ,Dashboard, Data Analysis ,Interactive Reporting." What you'll learn Data Visualization Techniques: Learn to create and interpret various graph types, including bar and line graphs, for effective data representation. Geographic Mapping and Data Integration: Utilize geographic location mapping and understand different join types and data blending for comprehensive analysis. Dashboard Design and Interactivity: Develop interactive dashboards using grouping, highlighting, and tooltips to enhance data presentation. Advanced Analytics: Implement clustering and regression analysis to uncover insights and relationships within the data. Practical Application and Storytelling: Apply learned concepts through hands-on exercises, creating compelling data stories that communicate insights effectivel Requirements To enroll in this Tableau course, parti[beeep]nts should have basic computer skills and a foundational understanding of data concepts. Access to Tableau Desktop or Tableau Public is necessary for practical exercises. An analytical mindset and curiosity about data visualization will enhance the learning experience, enabling parti[beeep]nts to effectively explore and communicate insights through data storytelling. Description In the "Data Visualization Using Tableau" course, you'll embark on a comprehensive journey to master one of the leading tools for data visualization. This course is designed for individuals who want to transform complex data into insightful and engaging visual stories. Starting with the basics, you'll learn how to navigate Tableau's interface and utilize its powerful features to create a variety of visualizations, including charts, graphs, and maps. The curriculum covers essential topics such as data connection, preparation, and cleaning, ensuring you can work with diverse datasets effectively.You'll delve into the principles of effective dashboard design, creating interactive dashboards that allow users to explore data dynamically. Advanced analytics techniques, such as calculated fields and forecasting, will empower you to derive deeper insights from your data.Through hands-on exercises and real-world projects, you'll develop the skills needed to communicate your findings clearly and effectively. By the end of this course, you'll be equipped to make data-driven decisions and present compelling narratives that influence your audience, making you a valuable asset in any data-driven organization. Join us to unlock the full potential of your data.Learn to create impactful data visualizations using Tableau for effective storytelling.IIBM Institute of Business Management Overview Section 1: Introduction Lecture 1 Tableau- Introduction to Graphs Section 2: Tableau-Geographic Location Mapping Lecture 2 Tableau-Geographic Location Mapping Section 3: Tableau-Bar Graph Line Graph and Filters Lecture 3 Tableau-Bar Graph Line Graph and Filters Section 4: Tableau-Different Types of Joins Lecture 4 Tableau-Different Types of Joins Section 5: Tableau Data Blending Lecture 5 Tableau Data Blending Section 6: Tableau Storyline Creation Lecture 6 Tableau Storyline Creation Section 7: Tableau Data Interpreters and Cleaning Lecture 7 Tableau Data Interpreters and Cleaning Section 8: Tableau Dashboard Concepts Lecture 8 Tableau Dashboard Concepts Section 9: Tableau Grouping and Highlighters Lecture 9 Tableau Grouping and Highlighters Section 10: Tableau Cluster Creation and Modelling Lecture 10 Tableau Cluster Creation and Modelling Section 11: Tableau Regression Analysis Lecture 11 Tableau Regression Analysis Section 12: Tableau Step Up, Tool Tip Analysis and Grouping Lecture 12 Tableau Step Up, Tool Tip Analysis and Grouping Section 13: Project- Attrition Analysis and Bank Loan Modelling Lecture 13 Project- Attrition Analysis and Bank Loan Modelling Lecture 0 Solution-HR Analytics-Attrition Analysis Lecture 0 Bank Loan Modelling and Complete Revision This course is for data analysts, business professionals, and beginners eager to enhance their data visualization skills in Tableau for effective decision-making and insights presentation. 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Free Download Data Structures and Algorithms Simplified Bootcamp Published 10/2024 Created by Bonaventure Ogeto MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 42 Lectures ( 7h 49m ) | Size: 2.3 GB Bite-Sized Lessons for Beginners and Developers: Learn, Practice, and Master Data Structures, Algorithms What you'll learn Understand and implement common data structures like arrays, linked lists, stacks, and queues. Learn various searching and sorting algorithms, including linear search, binary search, and quicksort. Apply key concepts of algorithms to solve real-world problems efficiently. Master algorithmic thinking, enabling optimal solutions for technical interview questions and coding challenges. Develop problem-solving skills, tackling challenges like Fibonacci, factorial, and backtracking problems. Requirements No prior experience in data structures and algorithms is required. This course is beginner-friendly. Basic understanding of any programming language (e.g., Python, JavaScript, C++) is helpful but not mandatory. A computer and internet connection to follow along with coding exercises and quizzes. Willingness to solve problems and practice consistently Description Data Structures and Algorithms Simplified BootcampMaster the Building Blocks of Coding, Ace Your Interviews, and Solve Real-World Problems with Confidence!Are you struggling to grasp the complex parts of data structures and algorithms? Or maybe you're preparing for a coding interview and need a refresher? Whether a beginner or an experienced developer, this bootcamp series offers bite-sized, easy-to-understand lessons to help you level up your coding skills-step by step.What You'll Learn:Data Structures: Master arrays, linked lists, stacks, queues, trees, graphs, and hash tables Algorithms: Understand sorting, searching, recursion, dynamic programming, greedy algorithms, and backtracking Problem-Solving Techniques: Learn patterns to tackle technical challenges with ease Interview Prep: Get tips and practice problems to crack coding interviews at top tech companies Real-World Applications: Discover how data structures and algorithms are applied in search engines, social networks, and more Why This Course?Bite-Sized Lessons: Perfect for learners with busy schedules-make meaningful progress in minutes Beginner-Friendly & Refreshing for Experts: Start from scratch or jump straight to advanced topics Hands-On Learning: Real coding examples and practical problems after every concept Clear Explanations: No jargon-just easy-to-follow lessons designed to build your confidence Lifetime Access: Revisit any topic whenever you need.Who Is This Course For?Aspiring developers who want to build a strong foundation in coding Developers preparing for technical interviews or coding challenges CS students needing extra support to ace data structures and algorithmsAnyone looking to solve problems faster and write efficient code By the End of This Course, You Will:Master key concepts in data structures and algorithms Be interview-ready with practical coding skills and problem-solving techniques Confidently write optimized code for real-world applications Gain the skills employers seek in top software development roles Join us now and build the skills you need to become a confident programmer one step at a time. Who this course is for Beginners in programming who want to build a strong foundation in data structures and algorithms. Developers preparing for coding interviews or technical assessments for software engineering roles. Students or professionals who want a refresher in data structures and algorithms for career advancement. Anyone interested in improving problem-solving skills and optimizing code performance. Computer science enthusiasts or professionals aiming to improve their understanding of algorithmic thinking and optimize solutions for complex problems. Homepage https://www.udemy.com/course/data-structures-and-algorithms-simplified-bootcamp/ Screenshot Rapidgator https://rg.to/file/0f24898ba0c5c6f82a13dc2374e26428/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part1.rar.html https://rg.to/file/3facc7c3a3db3c0a8fe1a012ad1e7b50/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part3.rar.html https://rg.to/file/65b8c4632f45dc3524edc447face38a1/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part2.rar.html Fikper Free Download https://fikper.com/MzVeEyrvPt/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part3.rar.html https://fikper.com/czR6nDnSVx/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part2.rar.html https://fikper.com/tyA7XPqzMg/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part1.rar.html No Password - Links are Interchangeable

Free Download Data Storytelling for Marketers Crafting Compelling Insights that Drive Decisions Released 10/2024 With Madecraft , Lea Pica MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 10m 56s | Size: 179 MB Learn how to communicate effectively through visually engaging storytelling, ensuring greater impact and resonance with diverse audiences. Course details Discover data storytelling with Lia Pica. Learn to craft narratives that drive decisions, using data effectively in marketing. Lea provides insights about narrative construction, design, delivery, and measuring impact. After this course, you'll be able to tell compelling data stories for strategic advantage. Homepage https://www.linkedin.com/learning/data-storytelling-for-marketers-crafting-compelling-insights-that-drive-decisions Screenshot Rapidgator https://rg.to/file/1e637776659e1c8327dce1e24b6b3914/cuwgx.Data.Storytelling.for.Marketers.Crafting.Compelling.Insights.that.Drive.Decisions.rar.html Fikper Free Download https://fikper.com/vRJK0vWMFw/cuwgx.Data.Storytelling.for.Marketers.Crafting.Compelling.Insights.that.Drive.Decisions.rar.html No Password - Links are Interchangeable

Free Download Data Processing and Information Technology Published 10/2024 Created by Emmanuel Adams MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 70 Lectures ( 3h 14m ) | Size: 1.66 GB Practical Skills in Data Analysis, Computer Hardware Configuration and More What you'll learn 1.1 Define the Computer. 1.2 Narrate the historical development of the Computer. 1.3 Classify computer according to generation from the 1st to the 5th generations (and any other generation). 1.4 Distinguish among analog, digital and hybrid computers. 1.5 Explain the social implications of computers on society 1.6 List the benefits of computers to the society 1.7 Explain the various control measures to counter the disadvantages of using a computer. Section 2: Understand Computer Operating Systems and Software 2.1 Describe the computer hardware configuration. 2.2 Identify the basic components of a computer 2.3 Describe the unit of memory storage. 2.4 Describe the computer software. 2.5 Distinguish between systems software and Applications software 2.6 Distinguish between software and hard ware. 2.7 Explain Microsoft Window. 2.8 Demonstrate the use of all the items in the desktop 2.9 Perform operation using warm and cool booting 2.10 Demonstrate the use of task bar and the start button 2.11 Demonstrate the use of the features of window 2.12 Demonstrate different ways of logging on to window. Section 3: Know the principles and methods of data processing 3.1 Define Data processing. 3.2 Explain the methods of data processing 3.3 Explain the stages of data processing. 3.4 Explain the various types of data processing techniques. Section 4: Understand the principles of data management 4.1 Explain the various methods of data collection. 4.2 Explain the various methods of data preparation. 4.3 Explain the various methods of data validation. 4.4 Explain methods of transmitting data. 5.1 Explain Data Communication. 5.2 Explain Data Transmission. 5.3 Explain Internet, EMail, E-Commerce, etc. Section 5: Understand system concept 5.1 Define a system 5.2 Classify systems into manual and automated. 5.3 Compare systems in manual and automated system 5.4 List examples of manual and automated systems Section 6: Know the various stages of system analysis 6.1 Define system analysis 6.2 List the stages of system development 6.3 Explain system planning, control and co-ordination. Section 7: Understand system design. 7.1 Explain system design. 7.2 Explain system specification. 7.3 List tools of system specification 7.4 Explain programme specification. 7.5 List the tools of programming. 7.6 Explain system documentation. (input, output, processing access made) and standards. Section 8 Understand word processing packages and their applications to business Requirements No prior computer knowledge required Description In today's fast-paced digital world, understanding the fundamentals of data processing and information technology is essential for anyone looking to excel in the tech industry. This comprehensive course is designed to equip you with the knowledge and skills needed to effectively manage, analyze, and process data using various information technologies.What You'll Learn:Introduction to ICT: Begin your journey with a solid foundation in Information Communication Technology, exploring its significance and applications.Operating Systems & Software: Gain insights into different computer operating systems, software types, and their roles in data processing.Data Processing Principles: Understand the core principles and methods of data processing, and how they are applied in real-world scenarios.Data Management: Learn the techniques for managing data effectively, ensuring data integrity, security, and accessibility.System Concepts & Analysis: Delve into system concepts, including the stages of system analysis and design, to streamline processes and improve efficiency.Word Processing & Spreadsheets: Discover the practical applications of word processing and spreadsheet software in business, enhancing your productivity and decision-making capabilities.Why Enroll?Whether you're a student, aspiring IT professional, or someone looking to improve your data processing skills, this course offers a structured approach to mastering essential ICT concepts. With clear explanations, practical examples, and hands-on exercises, you'll be well-prepared to tackle the challenges of the digital age.Course Features:Comprehensive Content: 10 detailed sections covering all aspects of data processing and information technology.Expert Instruction: Learn from industry professionals with years of experience in the field.Flexible Learning: Study at your own pace with lifetime access to the course materials.Certification: Receive a certificate upon successful completion to boost your resume and career prospects.Join now and take the first step towards becoming proficient in data processing and information technology! 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Free Download Data Preparation in Power BI with the M Language Released 10/2024 By Avdhesh Gaur MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 35m 4s | Size: 105 MB Elevate your data preparation skills in Power BI by mastering the M Language. Discover its purpose, structure, and applications to efficiently perform essential data transformation and cleaning tasks empowering you to build robust data pipelines. Data preparation is often the most time-consuming and challenging aspect of the analytics process, leaving many professionals feeling overwhelmed and underprepared. In this course, Data Preparation in Power BI with the M Language, you'll gain the ability to effectively prepare your data for insightful analysis. First, you'll explore the purpose and structure of the M Language, providing a solid foundation for your data preparation journey. Next, you'll discover how to access the Power Query advanced editor to harness the full potential of M language for your data tasks. Finally, you'll learn how to perform common data transformation tasks, such as removing rows and columns, pivoting and unpivoting data along with the essential data cleaning techniques, such as trimming spaces, removing null values, and many more. When you're finished with this course, you'll have the skills and knowledge of the M Language needed to build robust data pipelines and streamline your data preparation process. Homepage https://www.pluralsight.com/courses/power-bi-data-preparation-m-language Screenshot Rapidgator https://rg.to/file/a7be47a0339060e1ac94f0def8375c1b/vfkfk.Data.Preparation.in.Power.BI.with.the.M.Language.rar.html Fikper Free Download https://fikper.com/sNepAUxTqr/vfkfk.Data.Preparation.in.Power.BI.with.the.M.Language.rar.html No Password - Links are Interchangeable

Free Download Data Engineering using AWS Data Analytics Last updated 2/2023 Created by Durga Viswanatha Raju Gadiraju,Pratik Kumar,Sathvika Dandu,Madhuri Gadiraju,Sai Varma,Phani Bhushan Bozzam MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 434 Lectures ( 26h 15m ) | Size: 7.77 GB Build Data Engineering Pipelines on AWS using Data Analytics Services - Glue, EMR, Athena, Kinesis, Lambda, Redshift What you'll learn Data Engineering leveraging Services under AWS Data Analytics AWS Essentials such as s3, IAM, EC2, etc Understanding AWS s3 for cloud based storage Understanding details related to virtual machines on AWS known as EC2 Managing AWS IAM users, groups, roles and policies for RBAC (Role Based Access Control) Managing Tables using AWS Glue Catalog Engineering Batch Data Pipelines using AWS Glue Jobs Orchestrating Batch Data Pipelines using AWS Glue Workflows Running Queries using AWS Athena - Server less query engine service Using AWS Elastic Map Reduce (EMR) Clusters for building Data Pipelines Using AWS Elastic Map Reduce (EMR) Clusters for reports and dashboards Data Ingestion using AWS Lambda Functions Scheduling using AWS Events Bridge Engineering Streaming Pipelines using AWS Kinesis Streaming Web Server logs using AWS Kinesis Firehose Overview of data processing using AWS Athena Running AWS Athena queries or commands using CLI Running AWS Athena queries using Python boto3 Creating AWS Redshift Cluster, Create tables and perform CRUD Operations Copy data from s3 to AWS Redshift Tables Understanding Distribution Styles and creating tables using Distkeys Running queries on external RDBMS Tables using AWS Redshift Federated Queries Running queries on Glue or Athena Catalog tables using AWS Redshift Spectrum Requirements A Computer with at least 8 GB RAM Programming Experience using Python is highly desired as some of the topics are demonstrated using Python SQL Experience is highly desired as some of the topics are demonstrated using SQL Nice to have Data Engineering Experience using Pandas or Pyspark This course is ideal for experienced data engineers to add AWS Analytics Services as key skills to their profile Description Data Engineering is all about building Data Pipelines to get data from multiple sources into Data Lakes or Data Warehouses and then from Data Lakes or Data Warehouses to downstream systems. As part of this course, I will walk you through how to build Data Engineering Pipelines using AWS Data Analytics Stack. It includes services such as Glue, Elastic Map Reduce (EMR), Lambda Functions, Athena, EMR, Kinesis, and many more.Here are the high-level steps which you will follow as part of the course.Setup Development EnvironmentGetting Started with AWSStorage - All about AWS s3 (Simple Storage Service)User Level Security - Managing Users, Roles, and Policies using IAMInfrastructure - AWS EC2 (Elastic Cloud Compute)Data Ingestion using AWS Lambda FunctionsOverview of AWS Glue ComponentsSetup Spark History Server for AWS Glue JobsDeep Dive into AWS Glue CatalogExploring AWS Glue Job APIsAWS Glue Job BookmarksDevelopment Life Cycle of PysparkGetting Started with AWS EMRDeploying Spark Applications using AWS EMRStreaming Pipeline using AWS KinesisConsuming Data from AWS s3 using boto3 ingested using AWS KinesisPopulating GitHub Data to AWS DynamodbOverview of Amazon AWS AthenaAmazon AWS Athena using AWS CLIAmazon AWS Athena using Python boto3Getting Started with Amazon AWS RedshiftCopy Data from AWS s3 into AWS Redshift TablesDevelop Applications using AWS Redshift ClusterAWS Redshift Tables with Distkeys and SortkeysAWS Redshift Federated Queries and SpectrumHere are the details about what you will be learning as part of this course. We will cover most of the commonly used services with hands-on practice which are available under AWS Data Analytics.Getting Started with AWSAs part of this section, you will be going through the details related to getting started with AWS.Introduction - AWS Getting StartedCreate s3 BucketCreate AWS IAM Group and AWS IAM User to have required access on s3 Bucket and other servicesOverview of AWS IAM RolesCreate and Attach Custom AWS IAM Policy to both AWS IAM Groups as well as UsersConfigure and Validate AWS CLI to access AWS Services using AWS CLI CommandsStorage - All about AWS s3 (Simple Storage Service)AWS s3 is one of the most prominent fully managed AWS services. All IT professionals who would like to work on AWS should be familiar with it. We will get into quite a few common features related to AWS s3 in this section.Getting Started with AWS S3Setup Data Set locally to upload to AWS s3Adding AWS S3 Buckets and Managing Objects (files and folders) in AWS s3 bucketsVersion Control for AWS S3 BucketsCross-Region Replication for AWS S3 BucketsOverview of AWS S3 Storage ClassesOverview of AWS S3 GlacierManaging AWS S3 using AWS CLI CommandsManaging Objects in AWS S3 using CLI - LabUser Level Security - Managing Users, Roles, and Policies using IAMOnce you start working on AWS, you need to understand the permissions you have as a non-admin user. As part of this section, you will understand the details related to AWS IAM users, groups, roles as well as policies.Creating AWS IAM UsersLogging into AWS Management Console using AWS IAM UserValidate Programmatic Access to AWS IAM UserAWS IAM Identity-based PoliciesManaging AWS IAM GroupsManaging AWS IAM RolesOverview of Custom AWS IAM PoliciesManaging AWS IAM users, groups, roles as well as policies using AWS CLI CommandsInfrastructure - AWS EC2 (Elastic Cloud Compute) BasicsAWS EC2 Instances are nothing but virtual machines on AWS. As part of this section, we will go through some of the basics related to AWS EC2 Basics.Getting Started with AWS EC2Create AWS EC2 Key PairLaunch AWS EC2 InstanceConnecting to AWS EC2 InstanceAWS EC2 Security Groups BasicsAWS EC2 Public and Private IP AddressesAWS EC2 Life CycleAllocating and Assigning AWS Elastic IP AddressManaging AWS EC2 Using AWS CLIUpgrade or Downgrade AWS EC2 InstancesInfrastructure - AWS EC2 AdvancedIn this section, we will continue with AWS EC2 to understand how we can manage EC2 instances using AWS Commands and also how to install additional OS modules leveraging bootstrap scripts.Getting Started with AWS EC2Understanding AWS EC2 MetadataQuerying on AWS EC2 MetadataFitering on AWS EC2 MetadataUsing Bootstrapping Scripts with AWS EC2 Instances to install additional softwares on AWS EC2 instancesCreate an AWS AMI using AWS EC2 InstancesValidate AWS AMI - LabData Ingestion using Lambda FunctionsAWS Lambda functions are nothing but serverless functions. In this section, we will understand how we can develop and deploy Lambda functions using Python as a programming language. We will also see how to maintain a bookmark or checkpoint using s3.Hello World using AWS LambdaSetup Project for local development of AWS Lambda FunctionsDeploy Project to AWS Lambda consoleDevelop download functionality using requests for AWS Lambda FunctionsUsing 3rd party libraries in AWS Lambda FunctionsValidating AWS s3 access for local development of AWS Lambda FunctionsDevelop upload functionality to s3 using AWS Lambda FunctionsValidating AWS Lambda Functions using AWS Lambda ConsoleRun AWS Lambda Functions using AWS Lambda ConsoleValidating files incrementally downloaded using AWS Lambda FunctionsReading and Writing Bookmark to s3 using AWS Lambda FunctionsMaintaining Bookmark on s3 using AWS Lambda FunctionsReview the incremental upload logic developed using AWS Lambda FunctionsDeploying AWS Lambda FunctionsSchedule AWS Lambda Functions using AWS Event BridgeOverview of AWS Glue ComponentsIn this section, we will get a broad overview of all important Glue Components such as Glue Crawler, Glue Databases, Glue Tables, etc. We will also understand how to validate Glue tables using AWS Athena. AWS Glue (especially Glue Catalog) is one of the key components in the realm of AWS Data Analytics Services.Introduction - Overview of AWS Glue ComponentsCreate AWS Glue Crawler and AWS Glue Catalog Database as well as TableAnalyze Data using AWS AthenaCreating AWS S3 Bucket and Role to create AWS Glue Catalog Tables using Crawler on the s3 locationCreate and Run the AWS Glue Job to process data in AWS Glue Catalog TablesValidate using AWS Glue Catalog Table and by running queries using AWS AthenaCreate and Run AWS Glue TriggerCreate AWS Glue WorkflowRun AWS Glue Workflow and ValidateSetup Spark History Server for AWS Glue JobsAWS Glue uses Apache Spark under the hood to process the data. It is important we setup Spark History Server for AWS Glue Jobs to troubleshoot any issues.Introduction - Spark History Server for AWS GlueSetup Spark History Server on AWSClone AWS Glue Samples repositoryBuild AWS Glue Spark UI ContainerUpdate AWS IAM Policy PermissionsStart AWS Glue Spark UI ContainerDeep Dive into AWS Glue CatalogAWS Glue has several components, but the most important ones are nothing but AWS Glue Crawlers, Databases as well as Catalog Tables. In this section, we will go through some of the most important and commonly used features of the AWS Glue Catalog.Prerequisites for AWS Glue Catalog TablesSteps for Creating AWS Glue Catalog TablesDownload Data Set to use to create AWS Glue Catalog TablesUpload data to s3 to crawl using AWS Glue Crawler to create required AWS Glue Catalog TablesCreate AWS Glue Catalog Database - itvghlandingdbCreate AWS Glue Catalog Table - ghactivityRunning Queries using AWS Athena - ghactivityCrawling Multiple Folders using AWS Glue CrawlersManaging AWS Glue Catalog using AWS CLIManaging AWS Glue Catalog using Python Boto3Exploring AWS Glue Job APIsOnce we deploy AWS Glue jobs, we can manage them using AWS Glue Job APIs. In this section we will get overview of AWS Glue Job APIs to run and manage the jobs.Update AWS IAM Role for AWS Glue JobGenerate baseline AWS Glue JobRunning baseline AWS Glue JobAWS Glue Script for Partitioning DataValidating using AWS AthenaUnderstanding AWS Glue Job BookmarksAWS Glue Job Bookmarks can be leveraged to maintain the bookmarks or checkpoints for incremental loads. In this section, we will go through the details related to AWS Glue Job Bookmarks.Introduction to AWS Glue Job BookmarksCleaning up the data to run AWS Glue JobsOverview of AWS Glue CLI and CommandsRun AWS Glue Job using AWS Glue BookmarkValidate AWS Glue Bookmark using AWS CLIAdd new data to the landing zone to run AWS Glue Jobs using BookmarksRerun AWS Glue Job using BookmarkValidate AWS Glue Job Bookmark and Files for Incremental runRecrawl the AWS Glue Catalog Table using AWS CLI CommandsRun AWS Athena Queries for Data ValidationDevelopment Lifecycle for PysparkIn this section, we will focus on the development of Spark applications using Pyspark. We will use this application later while exploring EMR in detail.Setup Virtual Environment and Install PysparkGetting Started with PycharmPassing Run Time ArgumentsAccessing OS Environment VariablesGetting Started with SparkCreate Function for Spark SessionSetup Sample DataRead data from filesProcess data using Spark APIsWrite data to filesValidating Writing Data to FilesProductionizing the CodeGetting Started with AWS EMR (Elastic Map Reduce)As part of this section, we will understand how to get started with AWS EMR Cluster. We will primarily focus on AWS EMR Web Console. Elastic Map Reduce is one of the key service in AWS Data Analytics Services which provide capability to run applications which process large scale data leveraging distributed computing frameworks such as Spark.Planning for AWS EMR ClusterCreate AWS EC2 Key Pair for AWS EMR ClusterSetup AWS EMR Cluster with Apache SparkUnderstanding Summary of AWS EMR ClusterReview AWS EMR Cluster Application User InterfacesReview AWS EMR Cluster MonitoringReview AWS EMR Cluster Hardware and Cluster Scaling PolicyReview AWS EMR Cluster ConfigurationsReview AWS EMR Cluster EventsReview AWS EMR Cluster StepsReview AWS EMR Cluster Bootstrap ActionsConnecting to AWS EMR Master Node using SSHDisabling Termination Protection for AWS EMR Cluster and Terminating the AWS EMR ClusterClone and Create a New AWS EMR ClusterListing AWS S3 Buckets and Objects using AWS CLI on AWS EMR ClusterListing AWS S3 Buckets and Objects using HDFS CLI on AWS EMR ClusterManaging Files in AWS S3 using HDFS CLI on AWS EMR ClusterReview AWS Glue Catalog Databases and TablesAccessing AWS Glue Catalog Databases and Tables using AWS EMR ClusterAccessing spark-sql CLI of AWS EMR ClusterAccessing pyspark CLI of AWS EMR ClusterAccessing spark-shell CLI of AWS EMR ClusterCreate AWS EMR Cluster for NotebooksDeploying Spark Applications using AWS EMRAs part of this section, we will understand how we typically deploy Spark Applications using AWS EMR. We will be using the Spark Application we deployed earlier.Deploying Applications using AWS EMR - IntroductionSetup AWS EMR Cluster to deploy applicationsValidate SSH Connectivity to Master node of AWS EMR ClusterSetup Jupyter Notebook Environment on AWS EMR ClusterCreate required AWS s3 Bucket for AWS EMR ClusterUpload GHActivity Data to s3 so that we can process using Spark Application deployed on AWS EMR ClusterValidate Application using AWS EMR Compatible Versions of Python and SparkDeploy Spark Application to AWS EMR Master NodeCreate user space for ec2-user on AWS EMR ClusterRun Spark Application using spark-submit on AWS EMR Master NodeValidate Data using Jupyter Notebooks on AWS EMR ClusterClone and Start Auto Terminated AWS EMR ClusterDelete Data Populated by GHAcitivity Application using AWS EMR ClusterDifferences between Spark Client and Cluster Deployment Modes on AWS EMR ClusterRunning Spark Application using Cluster Mode on AWS EMR ClusterOverview of Adding Pyspark Application as Step to AWS EMR ClusterDeploy Spark Application to AWS S3 to run using AWS EMR StepsRunning Spark Applications as AWS EMR Steps in client modeRunning Spark Applications as AWS EMR Steps in cluster modeValidate AWS EMR Step Execution of Spark ApplicationStreaming Data Ingestion Pipeline using AWS KinesisAs part of this section, we will go through details related to the streaming data ingestion pipeline using AWS Kinesis which is a streaming service of AWS Data Analytics Services. We will use AWS Kinesis Firehose Agent and AWS Kinesis Delivery Stream to read the data from log files and ingest it into AWS s3.Building Streaming Pipeline using AWS Kinesis Firehose Agent and Delivery StreamRotating Logs so that the files are created frequently which will be eventually ingested using AWS Kinesis Firehose Agent and AWS Kinesis Firehose Delivery StreamSet up AWS Kinesis Firehose Agent to get data from logs into AWS Kinesis Delivery Stream.Create AWS Kinesis Firehose Delivery StreamPlanning the Pipeline to ingest data into s3 using AWS Kinesis Delivery StreamCreate AWS IAM Group and User for Streaming Pipelines using AWS Kinesis ComponentsGranting Permissions to AWS IAM User using Policy for Streaming Pipelines using AWS Kinesis ComponentsConfigure AWS Kinesis Firehose Agent to read the data from log files and ingest it into AWS Kinesis Firehose Delivery Stream.Start and Validate AWS Kinesis Firehose AgentConclusion - Building Simple Steaming Pipeline using AWS Kinesis FirehoseConsuming Data from AWS s3 using Python boto3 ingested using AWS KinesisAs data is ingested into AWS S3, we will understand how data can ingested in AWS s3 can be processed using boto3.Customizing AWS s3 folder using AWS Kinesis Delivery StreamCreate AWS IAM Policy to read from AWS s3 BucketValidate AWS s3 access using AWS CLISetup Python Virtual Environment to explore boto3Validating access to AWS s3 using Python boto3Read Content from AWS s3 objectRead multiple AWS s3 ObjectsGet the number of AWS s3 Objects using MarkerGet the size of AWS s3 Objects using MarkerPopulating GitHub Data to AWS DynamodbAs part of this section, we will understand how we can populate data to AWS Dynamodb tables using Python as a programming language.Install required libraries to get GitHub Data to AWS Dynamodb tables.Understanding GitHub APIsSetting up GitHub API TokenUnderstanding GitHub Rate LimitCreate New Repository for sinceExtracting Required Information using PythonProcessing Data using PythonGrant Permissions to create AWS dynamodb tables using boto3Create AWS Dynamodb TablesAWS Dynamodb CRUD OperationsPopulate AWS Dynamodb TableAWS Dynamodb Batch OperationsOverview of Amazon AWS AthenaAs part of this section, we will understand how to get started with AWS Athena using AWS Web console. We will also focus on basic DDL and DML or CRUD Operations using AWS Athena Query Editor.Getting Started with Amazon AWS AthenaQuick Recap of AWS Glue Catalog Databases and TablesAccess AWS Glue Catalog Databases and Tables using AWS Athena Query EditorCreate a Database and Table using AWS AthenaPopulate Data into Table using AWS AthenaUsing CTAS to create tables using AWS AthenaOverview of Amazon AWS Athena ArchitectureAmazon AWS Athena Resources and relationship with HiveCreate a Partitioned Table using AWS AthenaDevelop Query for Partitioned ColumnInsert into Partitioned Tables using AWS AthenaValidate Data Partitioning using AWS AthenaDrop AWS Athena Tables and Delete Data FilesDrop Partitioned Table using AWS AthenaData Partitioning in AWS Athena using CTASAmazon AWS Athena using AWS CLIAs part of this section, we will understand how to interact with AWS Athena using AWS CLI Commands.Amazon AWS Athena using AWS CLI - IntroductionGet help and list AWS Athena databases using AWS CLIManaging AWS Athena Workgroups using AWS CLIRun AWS Athena Queries using AWS CLIGet AWS Athena Table Metadata using AWS CLIRun AWS Athena Queries with a custom location using AWS CLIDrop AWS Athena table using AWS CLIRun CTAS under AWS Athena using AWS CLIAmazon AWS Athena using Python boto3As part of this section, we will understand how to interact with AWS Athena using Python boto3.Amazon AWS Athena using Python boto3 - IntroductionGetting Started with Managing AWS Athena using Python boto3List Amazon AWS Athena Databases using Python boto3List Amazon AWS Athena Tables using Python boto3Run Amazon AWS Athena Queries with boto3Review AWS Athena Query Results using boto3Persist Amazon AWS Athena Query Results in Custom Location using boto3Processing AWS Athena Query Results using PandasRun CTAS against Amazon AWS Athena using Python boto3Getting Started with Amazon AWS RedshiftAs part of this section, we will understand how to get started with AWS Redshift using AWS Web console. We will also focus on basic DDL and DML or CRUD Operations using AWS Redshift Query Editor.Getting Started with Amazon AWS Redshift - IntroductionCreate AWS Redshift Cluster using Free TrialConnecting to Database using AWS Redshift Query EditorGet a list of tables querying information schemaRun Queries against AWS Redshift Tables using Query EditorCreate AWS Redshift Table using Primary KeyInsert Data into AWS Redshift TablesUpdate Data in AWS Redshift TablesDelete data from AWS Redshift tablesRedshift Saved Queries using Query EditorDeleting AWS Redshift ClusterRestore AWS Redshift Cluster from SnapshotCopy Data from s3 into AWS Redshift TablesAs part of this section, we will go through the details about copying data from s3 into AWS Redshift tables using the AWS Redshift Copy command.Copy Data from s3 to AWS Redshift - IntroductionSetup Data in s3 for AWS Redshift CopyCopy Database and Table for AWS Redshift Copy CommandCreate IAM User with full access on s3 for AWS Redshift CopyRun Copy Command to copy data from s3 to AWS Redshift TableTroubleshoot Errors related to AWS Redshift Copy CommandRun Copy Command to copy from s3 to AWS Redshift tableValidate using queries against AWS Redshift TableOverview of AWS Redshift Copy CommandCreate IAM Role for AWS Redshift to access s3Copy Data from s3 to AWS Redshift table using IAM RoleSetup JSON Dataset in s3 for AWS Redshift Copy CommandCopy JSON Data from s3 to AWS Redshift table using IAM RoleDevelop Applications using AWS Redshift ClusterAs part of this section, we will understand how to develop applications against databases and tables created as part of AWS Redshift Cluster.Develop application using AWS Redshift Cluster - IntroductionAllocate Elastic Ip for AWS Redshift ClusterEnable Public Accessibility for AWS Redshift ClusterUpdate Inbound Rules in Security Group to access AWS Redshift ClusterCreate Database and User in AWS Redshift ClusterConnect to the database in AWS Redshift using psqlChange Owner on AWS Redshift TablesDownload AWS Redshift JDBC Jar fileConnect to AWS Redshift Databases using IDEs such as SQL WorkbenchSetup Python Virtual Environment for AWS RedshiftRun Simple Query against AWS Redshift Database Table using PythonTruncate AWS Redshift Table using PythonCreate IAM User to copy from s3 to AWS Redshift TablesValidate Access of IAM User using Boto3Run AWS Redshift Copy Command using PythonAWS Redshift Tables with Distkeys and SortkeysAs part of this section, we will go through AWS Redshift-specific features such as distribution keys and sort keys to create AWS Redshift tables.AWS Redshift Tables with Distkeys and Sortkeys - IntroductionQuick Review of AWS Redshift ArchitectureCreate multi-node AWS Redshift ClusterConnect to AWS Redshift Cluster using Query EditorCreate AWS Redshift DatabaseCreate AWS Redshift Database UserCreate AWS Redshift Database SchemaDefault Distribution Style of AWS Redshift TableGrant Select Permissions on Catalog to AWS Redshift Database UserUpdate Search Path to query AWS Redshift system tablesValidate AWS Redshift table with DISTSTYLE AUTOCreate AWS Redshift Cluster from Snapshot to the original stateOverview of Node Slices in AWS Redshift ClusterOverview of Distribution Styles related to AWS Redshift tablesDistribution Strategies for retail tables in AWS Redshift DatabasesCreate AWS Redshift tables with distribution style allTroubleshoot and Fix Load or Copy ErrorsCreate AWS Redshift Table with Distribution Style AutoCreate AWS Redshift Tables using Distribution Style KeyDelete AWS Redshift Cluster with a manual snapshotAWS Redshift Federated Queries and SpectrumAs part of this section, we will go through some of the advanced features of Redshift such as AWS Redshift Federated Queries and AWS Redshift Spectrum.AWS Redshift Federated Queries and Spectrum - IntroductionOverview of integrating AWS RDS and AWS Redshift for Federated QueriesCreate IAM Role for AWS Redshift ClusterSetup Postgres Database Server for AWS Redshift Federated QueriesCreate tables in Postgres Database for AWS Redshift Federated QueriesCreating Secret using Secrets Manager for Postgres DatabaseAccessing Secret Details using Python Boto3Reading Json Data to Dataframe using PandasWrite JSON Data to AWS Redshift Database Tables using PandasCreate AWS IAM Policy for Secret and associate with Redshift RoleCreate AWS Redshift Cluster using AWS IAM Role with permissions on secretCreate AWS Redshift External Schema to Postgres DatabaseUpdate AWS Redshift Cluster Network Settings for Federated QueriesPerforming ETL using AWS Redshift Federated QueriesClean up resources added for AWS Redshift Federated QueriesGrant Access on AWS Glue Data Catalog to AWS Redshift Cluster for SpectrumSetup AWS Redshift Clusters to run queries using SpectrumQuick Recap of AWS Glue Catalog Database and Tables for AWS Redshift SpectrumCreate External Schema using AWS Redshift SpectrumRun Queries using AWS Redshift SpectrumCleanup the AWS Redshift Cluster Who this course is for Beginner or Intermediate Data Engineers who want to learn AWS Analytics Services for Data Engineering Intermediate Application Engineers who want to explore Data Engineering using AWS Analytics Services Data and Analytics Engineers who want to learn Data Engineering using AWS Analytics Services Testers who want to learn key skills to test Data Engineering applications built using AWS Analytics Services Homepage https://www.udemy.com/course/data-engineering-using-aws-analytics-services/ Screenshot Rapidgator https://rg.to/file/2920699636897ec371102bdb027e8885/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part05.rar.html https://rg.to/file/2b9aa74769b487eaaedd3eec96345e51/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part04.rar.html https://rg.to/file/45d0ce3bc16db1d6999d3e6f18531e4c/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part06.rar.html https://rg.to/file/d29ebd836544f98050324f6aa8bef726/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part08.rar.html https://rg.to/file/d6f9f7479e24d0907c1621c594edb1fc/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part03.rar.html https://rg.to/file/e60b71f472370ab29b7e10f24d6cbe91/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part02.rar.html https://rg.to/file/e7a08371221bd4424901c60b4e7c8dd4/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part01.rar.html https://rg.to/file/ef32aa5500311afe27cc6fad7604a04d/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part07.rar.html Fikper Free Download https://fikper.com/1gyNST3T5B/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part02.rar.html https://fikper.com/BbGZKWTfP1/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part01.rar.html https://fikper.com/DJBmRaMzGu/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part03.rar.html https://fikper.com/SXxm2gI5gG/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part08.rar.html https://fikper.com/V3HWO9bEX3/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part05.rar.html https://fikper.com/m68l9B0z0U/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part06.rar.html https://fikper.com/yW1sDrNVjo/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part07.rar.html https://fikper.com/zvCGisvXzn/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part04.rar.html No Password - 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Free Download Data Engineering on Azure, Video Edition Released 8/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 8h 13m | Size: 1.2 GB Build a data platform to the industry-leading standards set by Microsoft's own infrastructure. In Data Engineering on Azure you will learn how to Pick the right Azure services for different data scenarios Manage data inventory Implement production quality data modeling, analytics, and machine learning workloads Handle data governance Using DevOps to increase reliability Ingesting, storing, and distributing data Apply best practices for compliance and access control Data Engineering on Azure reveals the data management patterns and techniques that support Microsoft's own massive data infrastructure. Author Vlad Riscutia, a data engineer at Microsoft, teaches you to bring an engineering rigor to your data platform and ensure that your data prototypes function just as well under the pressures of production. You'll implement common data modeling patterns, stand up cloud-native data platforms on Azure, and get to grips with DevOps for both analytics and machine learning. About the Technology Build secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify. About the Book In Data Engineering on Azure you'll learn the skills you need to build and maintain big data platforms in massive enterprises. This invaluable guide includes clear, practical guidance for setting up infrastructure, orchestration, workloads, and governance. As you go, you'll set up efficient machine learning pipelines, and then master time-saving automation and DevOps solutions. The Azure-based examples are easy to reproduce on other cloud platforms. What's Inside Data inventory and data governance Assure data quality, compliance, and distribution Build automated pipelines to increase reliability Ingest, store, and distribute data Production-quality data modeling, analytics, and machine learning About the Reader For data engineers familiar with cloud computing and DevOps. About the Author Vlad Riscutia is a software architect at Microsoft. Screenshot Rapidgator https://rg.to/file/134689e5c03576ccbb133d6a0b69244d/booxu.Data.Engineering.on.Azure.Video.Edition.part2.rar.html https://rg.to/file/62dee5a97a55e1a34447350747dbeefb/booxu.Data.Engineering.on.Azure.Video.Edition.part1.rar.html Fikper Free Download https://fikper.com/E0aOQXxhOG/booxu.Data.Engineering.on.Azure.Video.Edition.part2.rar.html https://fikper.com/dNrk0kCYVI/booxu.Data.Engineering.on.Azure.Video.Edition.part1.rar.html No Password - Links are Interchangeable

Free Download Data Denormalization In Modern System Design Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 626.80 MB | Duration: 0h 37m The myth of normalization and how denormalized views powered by event driven or batch processing architecture can help What you'll learn What is a normalized dataset Where normalization falls short and why is normalization a myth The concept of denormalized views How to implement denormalized views with event driven (streaming) workflows The pitfalls of event driven (streaming) replication to your denormalized view How to implement denormalized views with batch processing workflows The pitfalls of batch processing replication to your denormalized view Tradeoffs of denormalized views When should you really consider denormalized views Gain a new perspective in your existing microservice architecture Requirements High level understanding of backend system design High level understanding of databases High level understanding of microservice architecture and distributed systems Description We will dive deep into the cutting-edge world of modern database and software engineering, where traditional data normalization is increasingly giving way to more powerful techniques: denormalized views.Whether you're struggling with slow queries, high latency, or scaling data for millions of users, this series will teach you how to harness the true potential of denormalized views.We'll break down complex concepts in simple terms, showing you how modern views replicate and transform data for specific use cases, reduce the need for real-time processing, and improve overall performance. We'll cover how to implement such denormalization process, from using event-driven architecture to using batch processing instead and materialized views. We'll talk about denormalization techniques, and how to map and handle all of the many edge cases they will bring about.In this course, I want to challenge the way we think about databases and system design. In the past, normalization -structuring data into its smallest parts, and forbidding data duplication- was the golden rule for optimizing databases. But nowadays things have changed. When we're dealing with massive amounts of data, oftentimes normalization can actually slow us down.What if there was another approach? I'll show how effective denormalization of your data to what I call "denormalized views" can help provide an alternative solution to complete normalization. We'll demonstrate how replicating your data in a new denormalized format, designed for fast read access for a specific use case, can help you solve a new class of problem you weren't able to serve before because of performance reasons. Perhaps this is about a specific process in your organisation that is taking increasingly longer and more resources to be scaled and that needs to be rethought as soon as possible. Perhaps a new feature request that your team wasn't able to prioritize because there was no known solution to the problem at hand. Either way, this approach to system design is potentially one solution to your problems.Whether you're a backend engineer, system architect, or just someone curious about database performance, this series will arm you with the knowledge to design faster, more scalable, and more reliable systems. Learn how today's largest platforms - from Netflix to Facebook - use these principles to handle massive data volumes and power seamless user experiences. Overview Section 1: Normalization and its tradeoffs Lecture 1 The Myth of Normalization Lecture 2 What is Normalization? What are its tradeoffs? Section 2: What are Denormalized Views? Lecture 3 The Denormalized View Concept Lecture 4 Caching Denormalized views Section 3: Implementing Denormalized Views Lecture 5 Implementing Denormalized Views Replication Workflows Lecture 6 The complexities of Batch Processing Lecture 7 The complexities of Event-Driven Workflows Section 4: Tradeoffs and conclusion Lecture 8 Trade-offs and Conclusion Section 5: Examination Junior to Senior Software engineers with some professional experience in backend software engineering,Senior+ software engineers looking to challenge their views on distributed systems Screenshot Homepage https://www.udemy.com/course/data-denormalization-in-modern-system-design/ Rapidgator https://rg.to/file/06d48b85a3fa1f82c40c7ad09147a4a3/zpvxb.Data.Denormalization.In.Modern.System.Design.rar.html Fikper Free Download https://fikper.com/l3uxPKzR85/zpvxb.Data.Denormalization.In.Modern.System.Design.rar.html No Password - Links are Interchangeable

Free Download Data Cleaning using pandas and pyspan Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 57m | Size: 357 MB Master Data Cleaning with pandas and pyspan: Essential Techniques for Clean, Accurate, and Ready-to-Use Datasets What you'll learn Recognize opportunities for data cleaning and prepare your dataset for the cleaning process. Implement common data cleaning steps such as handle missing values and formatting date/time columns. Understand and implement complex data cleaning tasks such as outlier removal and splitting/creating new columns. Develop and apply custom data transformation techniques to standardize and enhance dataset quality. Requirements Basic understanding of Python programming. Understanding of using basic libraries like Pandas. A computer with internet access. Description Master the essential techniques of data cleaning with pandas and pyspan in Python! This beginner-friendly course will help you transform messy, raw data into clean, ready-to-use datasets for analysis. Data cleaning is a crucial first step in any data project, and in this course, you'll learn practical skills to tackle common data issues.You'll learn how to:Handle missing data effectively.Detect and remove outliers.Format and organize data for better clarity.Simplify your data cleaning process using pyspan.We'll start with a simple dataset, introducing basic data cleaning techniques step by step. By the end of the course, you'll have a solid foundation in using Python's pandas and pyspan libraries to clean and prepare data.No prior data cleaning experience is required, but basic knowledge of Python is helpful. This course is perfect for beginners, aspiring data analysts, or anyone looking to improve their data preparation skills.Throughout the course, you'll work on practical exercises that will help you apply the techniques you learn in real-world scenarios. By completing this course, you'll be ready to clean and prepare datasets for analysis with confidence. Whether you're entering the field of data analysis or just want to level up your Python skills, this course will provide the essential foundation you need. Who this course is for This course is designed for anyone working with data, including data analysts, data scientists, and aspiring professionals looking to enhance their data cleaning skills. If you frequently handle messy datasets and want to streamline your data preparation process using Python, this course will be especially valuable. It's also ideal for students and beginners with basic Python knowledge who are eager to master Pandas and Pyspan for data cleaning tasks. Whether you're in the tech industry or just starting your data journey, this course will equip you with essential skills. Homepage https://www.udemy.com/course/data-cleaning-using-pandas-and-pyspan/ Rapidgator https://rg.to/file/84ac7dedfd62d274072b5ee456247849/euoui.Data.Cleaning.using.pandas.and.pyspan.rar.html Fikper Free Download https://fikper.com/JYLAsnaPKE/euoui.Data.Cleaning.using.pandas.and.pyspan.rar.html No Password - Links are Interchangeable

Free Download Data Analytics Guide with Microsoft Excel and ChatGPT Published 10/2024 Created by Being Commerce,Being Commerce MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 48 Lectures ( 14h 32m ) | Size: 8.21 GB Master Data Analytics with Microsoft Excel and ChatGPT: Unleash the Power of Data! What you'll learn Understanding data analytics fundamentals. Navigating Microsoft Excel for data-related tasks. Learning basic and advanced Excel functions. Data cleaning, sorting, and filtering. How to use Excel's Power Query Editor for data transformation. Mastering Pivot Tables for visualization. Automating data processes using ChatGPT. Using logical operators and nested formulas. Creating professional data reports. Applying data aggregation and text functions. Real-world case studies for practical learning. Requirements A computer with Microsoft Excel installed. Basic computer literacy. No prior data analytics or Excel experience is required. Description Welcome to "Data Analytics Guide with Microsoft Excel and ChatGPT"! This course is designed to transform your understanding of data analytics, even if you have no prior experience. Data is the new gold, and knowing how to analyze it can elevate your professional and personal life. With this course, you will become a master of data analytics using Microsoft Excel, one of the most powerful and widely-used tools in the industry.Why this course stands out is its unique integration of Microsoft Excel with AI technology, specifically ChatGPT. Whether you're a beginner or someone looking to sharpen your skills, this course is structured in a way that ensures you're comfortable while learning. Imagine having the power of Excel, combined with AI-driven insights and formulas from ChatGPT, to analyze and manipulate data like never before!This course starts from the very basics, making it perfect for those with little to no experience in Excel. You will begin by understanding what data analytics is and why it's critical in today's business world. From there, you'll be guided step-by-step through mastering Excel's core functions, data cleaning, and formula application. Throughout the journey, ChatGPT will be introduced to show you how to automate and streamline your workflow, making your data analysis faster, more efficient, and precise.Data Analytics is not just a technical skill, but an essential one that opens doors to countless opportunities. Every business, organization, and entrepreneur relies on data-driven decisions to stay competitive, and you can be at the forefront of that decision-making. If you skip this course, you risk falling behind in a world where data literacy is no longer a choice, but a necessity. Don't let that happen. Enroll today and become a data expert, confident in your ability to deliver impactful insights and make smarter decisions. Who this course is for Beginners wanting to learn data analytics from scratch. Professionals looking to boost their career by adding data analytics to their skill set. Small business owners and entrepreneurs who want to make data-driven decisions. Students interested in learning how to work with Excel efficiently. Anyone who wants to automate data processes using AI tools like ChatGPT. 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Free Download Daily English Level 3 - Part 1 Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 9m | Size: 560 MB Daily English Level 3 - Part 1 What you'll learn Expand Vocabulary: Learners will acquire and use advanced vocabulary relevant to everyday situations. Enhance Listening Skills: Learners will improve their ability to understand native English speakers in various contexts. Refine Grammar and Sentence Structure Develop Fluency in Speaking Requirements Skills Required: Basic understanding of simple sentence structures, common vocabulary, and basic conversational ability. Device and Internet Access Device: A computer, laptop, tablet, or smartphone that can access course materials. Internet: A stable internet connection to stream videos, access interactive exercises, and parti[beeep]te in live sessions or discussions. Software and Tools Browser: A modern web browser (e.g., Chrome, Firefox, Safari) that supports the course platform. Basic Digital Literacy Skills: Familiarity with navigating online platforms, submitting assignments, and parti[beeep]ting in online discussions or quizzes. Commitment to Regular Parti[beeep]tion Time Management: A commitment to setting aside regular study time (e.g., 3-5 hours per week) to engage with course materials, complete assignments Description Welcome to Daily English Level 3 - Part OneAre you dreaming of studying at an English-speaking university? Do you want to get a better job or a promotion? Or maybe you just want to travel and connect with people from around the world. Learning English can open so many doors for you.In this course we will be learning all about the below topics where you will also have the opportunity to improve your reading, writing, speaking, and listening skills.* Greetings and Introductions* Weekend Plans* Family* Relatives* New Neighbors* Jobs * It's SummertimeMy course focuses on practical skills that you can use in real-life situations. You'll practice speaking in everyday conversations, writing emails and essays, and understanding different accents and contexts. This hands-on approach ensures you're not just learning English, but using it confidently and effectively.Don't wait any longer to start your journey to fluency. Enroll in our English language course today and take the first step towards a brighter future..We also offer a communication section where you will be privileged to speak directly with me so that I can help you better with your understanding in the English Language.I look forward to helping you on this English Journey Who this course is for Intermediate English Learners (A2-B1 CEFR) Who: Learners who already have a basic understanding of English and can handle everyday conversations but wish to improve their fluency and confidence in speaking, listening, reading, and writing. What: They should be able to communicate in simple situations but may still struggle with more complex language tasks or nuanced conversations. Non-Native English Speakers in Work Environments Who: Adults working in international settings or in professions that require regular communication in English, such as customer service, sales, hospitality, and office jobs. What: These learners aim to improve their ability to express ideas clearly and effectively in both casual and professional settings, including writing emails, giving presentations, and parti[beeep]ting in meetings. Travel Enthusiasts and Expats Who: People planning to live, work, or travel in English-speaking countries who want to develop practical language skills for day-to-day interactions. What: They need to be able to navigate everyday situations, such as ordering food, asking for directions, making small talk, and handling common transactions in English-speaking environments. Online Language Learners Seeking Flexibility Who: Busy professionals, students, or stay-at-home individuals who want to improve their English skills at their own pace and on their own schedule. What: They seek a flexible, self-paced course that they can fit into their busy routines and that allows them to practice English in a practical, daily context. Homepage https://www.udemy.com/course/daily-english-level-3-part-1/ Screenshot Rapidgator https://rg.to/file/bd7d5c6e7e3d179dd2e82c41ae953e76/kpezf.Daily.English.Level.3..Part.1.rar.html Fikper Free Download https://fikper.com/K2jx1BhRMM/kpezf.Daily.English.Level.3..Part.1.rar.html No Password - Links are Interchangeable

Free Download DaVinci Resolve Mastery - The Ultimate Video Editing Bootcamp Last updated 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 10.81 GB | Duration: 12h 6m DaVinci Resolve: Learn Video Editing, Color Correction, Color Grading, Visual Effects in DaVinci Resolve latest versions What you'll learn Mastering DaVinci Resolve for Video Editing: A comprehensive guide from novice to expert Quick and Efficient Video Editing using the Cut Page Implementing OpenFX Effects to Elevate your Videos Accurate Color Correction Techniques in DaVinci Resolve Multi-tool Color Grading for Professional-looking Videos Infusing Your Videos with Motion Graphics Navigating Nodes in DaVinci Resolve: From Serial to Layer, Parallel, and Beyond Practical Usage of Curves, Color Wheels, Qualifiers, Power Windows, Scopes, and more Complete a full-scale project: From Importing Media, through Video Editing and Color Correction, to Color Grading with Motion and ResolveFX Requirements DaVinci Resolve the free copy. I'll show you how to download and Install your copy. DaVinci Resolve requires Windows 10 or any Mac OS. No Prior knowledge in DaVinci Resolve required. No prior knowledge in Video Editing, Color Correction and Grading, Visual Effects or Motion is required. It's all covered in the Course. A 1080p (at least) Screen Resolution is highly recommended to work in DaVinci Resolve and to preview the course. I will provide you, free of charge, professionally shot videos to create your own project (from video editing to color correction and Grading) Description Hello there! I'm Louay, a seasoned instructor specializing in Premiere Pro, After Effects, Video Editing, and Motion Graphics courses, which are highly rated and bestselling.Today, I'm thrilled to introduce you to "DaVinci Resolve Mastery: The Ultimate Video Editing Bootcamp". This course offers hands-on projects and fast-track learning where you will master DaVinci resolve and learn how to edit with ease like a pro.DaVinci Resolve is a widely used, free professional video editing software, cherished by both amateurs and professionals. Its simplicity and user-friendly interface are coupled with robust tools, enabling you to produce high-quality video content.I've designed this course specifically with beginners in mind. If you're new to Video Editing or DaVinci Resolve, this is the perfect starting point. We'll begin at the very beginning, equipping you with the knowledge and skills to use Resolve proficiently and professionally for video editing, color correction, color grading, visual effects, and motion graphics.But don't worry if you already have some experience with editing - this course is still for you! If you're looking to upgrade your skills and learn how to use DaVinci Resolve at a professional level, you're in the right place. Plus, I've included a quick dive into the most crucial techniques in Resolve that I'm confident you'll find valuable.We will dive right in, creating your first video and enriching it with music, text, graphics, and a few transitions. There's no wasted time on irrelevant topics. Within half an hour, you'll be navigating DaVinci Resolve with confidence.Throughout the course, you'll learn everything from video editing, visual effects, motion graphics, to color correction & grading, and audio editing. Together, we'll produce a video from start to finish, allowing you to understand the entire process, from importing your video clips to the final stages of color correction and grading.I fully understand your eagerness to apply what you've learned right away. That's why I'm providing you with a complete set of over 100 sports/action-themed video footages. These materials will give you a great platform to practice and fine-tune your skills.In this DaVinci Resolve course, you will:Learn the concepts behind the workflow in DaVinci Resolve.Experience swift and effortless editing on the latest Cut Page in DaVinci Resolve.Learn to efficiently import and arrange your media, moving from Bins to Power Bins.Gain all the necessary skills for proficient video editing in the Edit Page.Jump right in and construct your inaugural short video - an exciting starting point.Explore diverse methods to piece together your video - ranging from insertions to exchanges.Execute meticulous edits on your clips, frame by frame.Engage in the fun of adjusting your clips' timing with speed graphs - both Slow Motion and Fast Motion.Become proficient in transitions and even create your own unique ones.Enhance your project with Graphics, Lower Thirds, and Titles, including the creation of an Intro and Outro.Delve into the advanced features of Fusion Text, Text+ and Rich TextApply and personalize Effects drawn from Resolve FX and Fusion FXAchieve flawless Color Correction - even with Log footage.Use Power Windows, Cloud and Point Trackers to accentuate features in your clips.Grasp and operate advanced tools like Curves, Qualifiers, Keys with precision.Embark on your Color Grading journey like a promising colorist and create impressive grades.Master sophisticated editing methods, including three-point edits, J-cuts, L-cuts, and beyond.And a top-notch learning experience with easy to follow video tutorialsPlus: The professionally shot videos will allow you to complete different projects and apply all the skills you acquired. Whether you aim to edit videos for your YouTube channel, create exciting videos for your family album, market your website through video content, start your career as a video editor, or simply want to create your first demo-reel, this course is tailored to your needs. I'm committed to your individual success and can't wait to see you in the course!Your journey from beginner to Advanced starts here in my Complete DaVinci Resolve Video Editing Course. Don't just take my word for it - here's what some of our students have to say:Gideon pepple: Honestly, I was very skeptical about getting the course but I am so glad I did. At various parts of the course I was like now I see how they did that. I also took notes so that was a huge bonus. If you're on the fence, I advice you take a leap and get the course. It's just awesome. Timothy Larson: I was pleasantly surprised at how well this course began. The pace is excellent and I learned useful things constantly even though I had done some work already, so this will help the speed and efficiency of my workflow.Joy Billel: I am new to DaVinci Resolve so the course is very insightful and helpful. I love that you've provided materials for your students to easily do the edits with you which make it so much easier to understand the features provided on the video editing software. Thank you!!! :DMarco Túlio Avila Santos: It's just exactly what I was searching for and needing! I'm a complete beginner in video editing with Resolve and I came from iMovie from Apple. This course is just a MUST HAVE for everyone that wants to start working with DaVinci Resolve AND video editing! Thank you so much!Dhiren Adatia: Thank you Louay. I have learnt to edit in DaVinci at a great level. I can import media, and edit clips to music as well as creating transitions and learning to add text. I've learnt to add music and cut to music, add effects and much more. Brilliant and well recommended course to anybody wanting to learn such a powerful editing software.The course guarantees your satisfaction. If you're not happy with your purchase, we offer a 30-day 100% money-back guarantee. So why wait?Enroll now, and let's start this creative journey together!Cheers Louay Overview Section 1: Welcome to Video editing in Davinci Resolve Lecture 1 Welcome to Video Editing in DaVinci Resolve Lecture 2 How to Download your Free Copy of the latest DaVinci Resolve Lecture 3 Media, Practice and Demo-Reel Lecture 4 Download your Media for your a Quick Start Lecture 5 Launching DaVinci - New Project Section 2: Quick and Easy - Video Editing Simplified in Davinci Resolve Lecture 6 What will be covered within the Cut page Lecture 7 How to Import your Media from within the Cut Page in DaVinci Resolve Lecture 8 How to Preview Your Media in the Cut Page Lecture 9 The source Tape Preview - an advanced preview method Lecture 10 Create your First Rough Cut in the Cut Page Lecture 11 The Cut Page Timelines Lecture 12 Timeline vs Source - Trimming Lecture 13 Refining your Cuts: It's an art work Lecture 14 How to avoid losing your work Lecture 15 Cut Page Editing: How to use the Smart Insert Lecture 16 Cut Page Editing: How to Ripple Overwrite Edit Lecture 17 Swapping and rearranging Clips - Lift and Insert Lecture 18 **** Your Assignment - Practice Project Lecture 19 Introducing The Inspector Lecture 20 Previewing Transitions Lecture 21 How to add Transitions in the Cut Page Lecture 22 The Cross Dissolve Transition Lecture 23 The Standard/Default Transition Lecture 24 How to Customize Transitions Lecture 25 How to Customize Fusion Transitions Lecture 26 How to add Titles: An animated left Lower third Lecture 27 Quick & Easy Fusion Titles Lecture 28 Adding Audio in the Cut Page Lecture 29 When the ripple does not ripple anymore Lecture 30 Quick and Easy Export - Local Media Storage Lecture 31 Quick and Easy Export - Create your first Video & Upload to Social Media Lecture 32 **** Your Assignment - Complete project in the Cut Page Section 3: Clip Tools in the Cut Page DaVinci Resolve Lecture 33 The Cut Page Clip Tools Overview Lecture 34 The Transform Tool (Create a PiP) Lecture 35 How to Crop a clip Lecture 36 How to use the Dynamic Zoom Lecture 37 Composite Option Lecture 38 The Speed tool with Clip Speed in the Cut Page Lecture 39 Playing with Clip Speed from within the Cut Page Lecture 40 Stabilizing Clips from within the Cut Page Lecture 41 Auto Color Correct in the Cut Page Lecture 42 The Audio Tool in the Cut Page Lecture 43 **** Your Final Cut Page Assignment - Create a top notch video Section 4: Media Page: Importing and Organizing your Media in Davinci Resolve Lecture 44 Introduction to the Media Page Lecture 45 Importing Your Media from the Media Page Lecture 46 Advanced Media Import through Mapping your Drives and Folders Lecture 47 Using Smart Bins in DaVinci Resolve Lecture 48 Using Smart Bins for Timelines in DaVinci Resolve Lecture 49 Speeding Up Playback in DaVinci Resolve with Smart Render Lecture 50 Using proxy for more playback speed in DaVinci Resolve Lecture 51 Exporting and Importing Projects in DaVinci Resolve Lecture 52 Restoring Backups in DaVinci Resolve Lecture 53 Relinking Media in DaVinci Resolve Section 5: Application Essentials Lecture 54 DaVinci Resolve Menu System Demystified Lecture 55 Preferences & Customizing Keyboard Shortcuts in DaVinci Resolve Section 6: Edit Page: Adding, Inserting and Moving Clips to the Timeline in Resolve Lecture 56 Introduction to the Edit Page in DaVinci Resolve Lecture 57 How to Create a New Timeline in DaVinci Resolve Lecture 58 How to trim and add clips to your Timeline - The I/O Edit Lecture 59 How to add clips to your Timeline - The Blade Edit Lecture 60 How to add clips to your Timeline - Ripple Cut Edit Lecture 61 Timeline Zooms & Previews Lecture 62 How to Navigate the Timeline Lecture 63 Performing Lift and Extract with Auto Select Lecture 64 Performing Insert Edits with Track Selection Lecture 65 Performing Overwrite Edits with track Selection Lecture 66 Marking on the timeline Lecture 67 Three (3) Point Edit - Overwrite Lecture 68 Three (3) Point Edit - Insert Lecture 69 How to Perform a Replace Edit Lecture 70 How to Perform a Ripple Overwrite Lecture 71 Copy/Paste and Insert Paste Lecture 72 Performing a Lift & Insert Lecture 73 How to swap clips on the timeline Lecture 74 Selecting and Moving Contiguous Clips Lecture 75 Tip: Match Frame & Find timeline clips in the Media Pool Lecture 76 Tip: How to Add, Move, and Remove Tracks Lecture 77 Tip: Extracting Overlapping Gaps Section 7: Timeline Editing Techniques & Editing Tools Lecture 78 The focus of this section - Modes vs Tools Lecture 79 Media Pool Vs Timeline Clip Lecture 80 The Concept of Handles Lecture 81 How to edit Timeline Clips in the Source Monitor Lecture 82 How to perform Basic Trim in the Selection Mode Lecture 83 How to perform Basic Trims in the Trim Edit Mode Lecture 84 DaVinci Resolve 19 - Refining your Cuts in the Edit Page Lecture 85 How to perform an Extend Edit Lecture 86 Nudge it with the right Point Type - Precision Triming Lecture 87 How to perform a Roll Edit Lecture 88 How to perform Slip Edits Lecture 89 How to perform Slide Edits Lecture 90 Combining the Edits - Examples of Fast Edits Section 8: Dynamic Trimming (Advanced Editing Method) Lecture 91 How to use JKL in the Timeline Lecture 92 How to use the Dynamic Trim Mode with Selection Mode - Slow Motion Editing Lecture 93 How to use the Dynamic Trim Mode with Trim Edit Mode Lecture 94 How to do a Dynamic Slip / Slide Section 9: Advanced Video Speed Effects and Retiming Lecture 95 Retiming Clips - What you will learn in this section Lecture 96 Importing the start project to follow along Lecture 97 The Retime Controls Lecture 98 How to Retime an Entire Clip - Retime Controls with FPS Lecture 99 How to create a Freeze Frame Segment Lecture 100 How to create variable speed on the same clip Lecture 101 How to Create Variable Speed Effects and Freeze Frames In DaVinci Resolve Lecture 102 Creating Rewinds and Reverse Playbacks in DaVinci Resolve Lecture 103 The Curve Editor for Speed Variation in DaVinci Resolve Lecture 104 Enhancing Video Speed Variations with the Curve Editor Lecture 105 Retime Speed - Using Retime Curve Lecture 106 Tip: How to create Smart Reversed Segment Lecture 107 *** Your Assignment: Retiming Clips Lecture 108 The Completed Retime Controls Project Section 10: Advanced Transitions: Applying and Customizing Transitions Lecture 109 Advanced Transitions: Applying and Customizing Transitions Lecture 110 How to use the Video Faders Lecture 111 How to use the Audio Faders Lecture 112 How to use the Keyframe Editor to edit the Transition Curve Lecture 113 How to use the Curve Editor to edit the Transition Curve Lecture 114 Tip: How to Save a Transition Preset for re-use Lecture 115 How Clip Handles affect Transitions Lecture 116 *** Your Assignment: Add & Customize Transitions Section 11: Advanced Transforms & Motion Lecture 117 The Transforms and Motion you will learn Lecture 118 Onscreen Transforms and Dynamic Zoom in DaVinci Resolve Lecture 119 Creating Smooth Motion Paths with Onscreen Keyframes in DaVinci Resolve Lecture 120 How to Copy and Paste Clip Attributes in DaVinci Resolve Lecture 121 Your Assignment: Create an Intro for Your Video in DaVinci Resolve Lecture 122 Your Assignment Tutorial : Create an Intro for your movie Lecture 123 Tip: How to Compound Clips Section 12: Advanced Text & Fusion Titles & Lower 3rd - Create, Customize and Animate Lecture 124 Single and Multiple Line Rich Text Formatting Lecture 125 Animating Rich Text in DaVinci Resolve: Techniques and Tips Lecture 126 Scroll Text in DaVinci Resolve: Tips and Techniques Lecture 127 Fusion Text/Text+ and the Write On Lecture 128 Tip: Fusion Text: How to Roll and Scroll Lecture 129 How to work with Fusion Titles & Lower Thirds Lecture 130 Tip: Compositing Text - Text with Video Background Section 13: Advanced Effects: Resolve & Fusion FX Lecture 131 Effects: Fusion and Resolve FX Lecture 132 Resolve Effects On Screen Controls Lecture 133 Applying, Customizing and Animating ResolveFX - Light Rays Lecture 134 How to use the Adjustment Clip Section 14: The Color Page and the Concept of Nodes Lecture 135 Create the Color Correction Timeline Lecture 136 The Ins and Outs of the Color Page Lecture 137 The Concept of Nodes Lecture 138 Working with Nodes Section 15: Beginner's Color Concepts & Definitions Lecture 139 Color Correction vs Color Grading Lecture 140 The 3 Main Ranges - Highlights - Midtones - Shadows Lecture 141 What are Scopes? Lecture 142 How to read the Scopes Section 16: Achieving perfect Color Correction with the Primaries Lecture 143 The Primaries - Wheels Lecture 144 The Primaries - Bars Lecture 145 How to work with the Contrast Lecture 146 The Shadows and Highlights Controls Lecture 147 Main properties for Colors Lecture 148 The Auto Color Correct options Lecture 149 The Primaries - The Log Wheels Section 17: Copying & Duplicating Nodes - Color Correction & Grading Lecture 150 The easy methods to copy grades Lecture 151 Copying nodes with attributes Lecture 152 Creating and Grading Groups and Timeline Nodes Lecture 153 Working with shared Nodes Lecture 154 Comparing Grading on multiple clips Section 18: Overview - The Color Grading Tools Lecture 155 The different tools to color grade and secondary color correction Section 19: Color Grading Tools - RGB Curves Lecture 156 How to work with the Custom Curves Lecture 157 How to add and work with anchors Lecture 158 The Red Green Blue and Luma Curves Lecture 159 How to work with Hue vs Hue Curve Lecture 160 How to work Hue vs Sat Curve Lecture 161 How to work Hue vs Luma Curve Lecture 162 How to work Sat vs Sat Curve Section 20: Color Grading Tools - ColorSlice Lecture 163 The Color Slice - An Overview Lecture 164 Color Slice - Global Density - Saturation - Hue Lecture 165 Working with the Color Slice Section 21: Color Grading Tools - Color Warper Lecture 166 Overview of the Color Warper - Hue - Saturation Lecture 167 The Color Warper - Working with Saturation Lecture 168 The Color Warper - Working with Hues Lecture 169 How Pin and Re-pin points Lecture 170 Using the Point Picker Lecture 171 An overview of the tools Lecture 172 The Color Warper - Chroma - Luma Section 22: Color Grading Tools - Qualifiers Lecture 173 What are Qualifiers and Different Types of Qualifiers Lecture 174 The HSL Qualifiers - Selecting the Colors Lecture 175 The HSL Qualifiers - Refining the Matte Lecture 176 The HSL Qualifier - Grading and Secondary color correction Lecture 177 Working with Outside nodes Lecture 178 Just a note: How to compound Nodes Lecture 179 The RGB Qualifiers Lecture 180 The LUMA Qualifiers Lecture 181 The 3D Qualifier + Green Screen Lecture 182 Your Assignment: Change the eyes color Lecture 183 Assignment Solution Section 23: Power Windows & Color Correction Lecture 184 All about power windows Lecture 185 Introduction to Windows Lecture 186 Color Correction with Power Window Lecture 187 Adding a Gradient Window Lecture 188 How to color Correct Over and Under Exposed Frame Lecture 189 Your Assignment: Color Correct and Grade Section 24: Controlling the Video Lecture 190 Controlling the Video - Your learning take away from this section Lecture 191 Download your Media to work in this section Lecture 192 Stabilizing Shaky footage Lecture 193 Tracking Power Windows Lecture 194 Point Tracking Lecture 195 The Blur Tab Lecture 196 The Sizing Tab Section 25: Color Grading Workflow Techniques - LUTs and More Lecture 197 Primary and Secondary Colors Lecture 198 How to Apply LUTs to Nodes and Clips - The Key Tab and Node Opacity Lecture 199 How to Create and Apply Project's LUTs Lecture 200 How to Copy Grades from one Clip to Another Lecture 201 Grabbing Stills & Working in the Gallery Lecture 202 How to Compare Shots for better Color Grading Section 26: Complete, Color Correct and Grade your Project Lecture 203 Complete the Video Editing Lecture 204 Color Correct properly all the clips Lecture 205 Color Grade all your Clips Lecture 206 Use the the Deliver tab to Render Section 27: Optimizing Your Media Lecture 207 How to optimize your media for faster previews Section 28: Bonus Lecture 208 Bonus: Your Next Step DaVinci Resolve Newbies: Dive in and discover the basics of video editing and color grading.,Novices in Video Editing and Color Grading: Not only will you grasp how to edit videos and color grade, but you'll also learn much more.,Advanced Video Editors keen to master DaVinci Resolve: Whether it's for video editing or color grading, we've got you covered.,Future Video Editors: Master an array of video editing techniques in DaVinci Resolve.,Aspiring Colorists: Gain comprehensive knowledge on color correction/grading using DaVinci Resolve. 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Free Download DIY Brand Strategy Workshop by Kiki Bhaur Published 10/2024 Created by Kiki Bhaur MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 60 Lectures ( 1h 18m ) | Size: 823 MB Build a profitable, standout brand with a comprehensive strategy and action plan. What you'll learn How to set clear, measurable brand goals for long-term success How to create a clear, comprehensive brand strategy that sets your brands structure. How to identify, understand and define your target audience How to identify and analyse the competitive landscape How to position your brand to differentiate from competitors How to formulate brand messaging that resonates How to craft a unique value proposition that clearly communicates the benefits of your brand How to pitch your brand in 30 seconds How to research and analyse your market properly and figure out insights How to develop an action plan roadmap for the next 12-24 months How to adapt your brand strategy as your business grows How to build a profitable, standout and impactful brand, while having fun Requirements Start-up or small sized business Real passion + effort to building your brand (not just a "side hustle") Willingness to learn and apply new strategies A clear business service or product - this course is not suitable if you're still in the "idea stage" of your business. You have the time to do the work to put together a brand strategy + take the action Description This course is designed for entrepreneurs, startup founders, and SMB teams who are ready to create a clear and actionable brand strategy that helps their business build a profitable, standout and impactful brand in the marketplace. By the end of this course, you'll have a finalized brand strategy and be equipped with a 30-day action plan to jump-start your strategy, along with a 12-24 month roadmap to ensure long-term success. Whether you're starting or looking to take your brand to the next level, this course will guide you through every step in a fun and engaging way.We cover every key component of brand strategy, including brand analysis, brand anatomy, understanding your market, brand messaging, and conducting thorough research. The course includes interactive workbook exercises, designed to guide you step-by-step as you uncover each part of your brand strategy. Each exercise builds on the previous one, ensuring a structured and thoughtful progression. From identifying your audience and market to crafting your brand's personality, voice, and unique value proposition, every exercise is designed to lead you to the next crucial step in developing a strong, cohesive brand.You'll also have access to DIY research, messaging, pitching, and customer journey exercise guides, as well as a lifetime access to the digital workbook. Who this course is for This course is perfect for SMEs, startups, business owners, entrepreneurs and founders who are looking to develop a profitable & standout brand most effectively. It is also ideal for marketers, consultants, coaches and CEOs who want to create or refine their brand strategy to make a lasting impact and achieve significant business growth Homepage https://www.udemy.com/course/diy-startup-brand-workshop/ Screenshot Rapidgator https://rg.to/file/9c19c0d1592e23d10e0069e0f92fe7e9/ybufi.DIY.Brand.Strategy.Workshop.rar.html Fikper Free Download https://fikper.com/lHQXGDq0bq/ybufi.DIY.Brand.Strategy.Workshop.rar.html No Password - Links are Interchangeable

Free Download DCTECH Cisco Data Center Technician Lab Course CCT Nexus UCS Last updated 8/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 47m | Size: 285 MB Cisco Certified Technician (CCT) DCTECH 010-151 Training With Nexus NX-OS and Cisco UCS Manager and UCSPE What you'll learn Cisco Nexus NX-OS CLI Tools and General CLI Overview Cisco Nexus NX-OS Configuration Management Cisco UCS Hardware and Its Software Platform Cisco UCS Platform Emulator and UCS Manager Requirements No prerequisite other than passion to learn Description Welcome to DCTECH Cisco Data Center Technician Lab Course For CCT Data Center With Nexus NX-OS and UCS Manager and UCSPE. The Cisco Certified Technician (CCT) for Data Center checks a data center technician's competency in the following areas;- Simple Cisco NX-OS configuration- Cisco Unified Computing System (UCS) and its hardware components.So we prepared this course for your focused study to learn all that is needed to pass the 010-151 DCTECHSupporting Cisco Datacenter Networking Devices exam.In this course, you will learn:Cisco Nexus CLI Tools and General CLI OverviewCisco Discovery Protocol CDPLink Layer Discovery Protocol LLDPCisco Nexus OS FeaturesCisco Nexus OS Feature SetsCisco Nexus Hardware Features Cisco Nexus Hardware InformationCisco Nexus Switch Configuration Replace FeatureCisco Nexus Switch Configuration Rollback Feature Cisco UCS B Series Blade Chassis and ServersCisco UCS C Series Rack ServersCisco UCS Fabric InterconnectsCisco UCS Platform Emulator OverviewEquipment Tab For UCS Platform EmulatorHardware Inventory Overview For UCS Platform EmulatorAdding A New Chassis and A Rack Server on UCSPEConnectivity of Links Management For Devices on UCSPEImport and Export Configurations on UCSPEFirst Login To UCS Manager and Final Remarksin all hands-on lab focused training. Who this course is for Data Center Technicians Network Technicians Network Engineers Data Center Engineers Those who want to pass 010-151 DCTECH Supporting Cisco Datacenter Networking Devices exam Homepage https://www.udemy.com/course/dctech-cisco-data-center-technician-lab-course-cct-nexus-ucs/ Screenshot Rapidgator https://rg.to/file/422437439b2954487e606619bcabc4cc/eizdd.DCTECH.Cisco.Data.Center.Technician.Lab.Course.CCT.Nexus.UCS.rar.html Fikper Free Download https://fikper.com/nVvF1yAzvI/eizdd.DCTECH.Cisco.Data.Center.Technician.Lab.Course.CCT.Nexus.UCS.rar.html No Password - Links are Interchangeable

Free Download Cybersecurity for IoT (Internet of Things) Published 10/2024 Created by Nirmala Lall MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 35 Lectures ( 2h 58m ) | Size: 1.3 GB Master IoT security: Protect devices, networks, and data from cyber threats What you'll learn IT professionals and cybersecurity specialists looking to expand their knowledge into the growing field of IoT security Network administrators and system engineers responsible for implementing and maintaining IoT systems in their organizations Software developers and hardware engineers working on IoT products who want to integrate security best practices into their development process Information security managers and CISOs seeking to understand the unique challenges and solutions in securing IoT ecosystems Students and graduates in computer science, information technology, or cybersecurity fields interested in specializing in IoT security IoT enthusiasts and makers who want to ensure their projects and devices are secure from potential threats Business leaders and decision-makers who need to understand IoT security risks and mitigation strategies for their organizations Anyone with a basic understanding of networking and cybersecurity concepts who wants to dive deep into the world of IoT security Requirements No prior experience with IoT security is required, but general IT or security background is helpful Description Dive into the world of IoT cybersecurity with this comprehensive course designed for IT professionals, security specialists, and IoT enthusiasts. Over seven modules, you'll gain in-depth knowledge and practical skills to secure IoT ecosystems from evolving cyber threats.Starting with the fundamentals of IoT and cybersecurity, you'll quickly progress to advanced topics such as securing IoT devices, networks, and cloud backends. Through a combination of lectures, hands-on labs, and real-world case studies, you'll learn to implement robust security measures, conduct thorough security testing, and respond effectively to IoT security incidents.Key topics covered include:IoT device security and firmware managementSecure network protocols and data encryptionCloud and backend security for IoT platformsVulnerability assessment and penetration testing for IoTImplementation of IoT security best practices and standardsIncident response and forensics in IoT environmentsBy the end of this course, you'll be equipped with the knowledge and skills to design, implement, and maintain secure IoT systems. You'll understand how to apply industry-standard frameworks like OWASP IoT Top 10 and NIST guidelines, and be prepared to tackle real-world IoT security challenges.Whether you're looking to enhance your organization's IoT security, develop secure IoT products, or advance your career in this rapidly growing field, this course provides the comprehensive training you need to succeed in IoT cybersecurity. Who this course is for IT professionals and network administrators who want to expand their expertise into IoT security Cybersecurity specialists looking to focus on the unique challenges of securing Internet of Things ecosystems Software developers and hardware engineers working on IoT products who need to integrate security best practices Information security managers and CISOs seeking to understand and address IoT-specific security risks in their organizations Computer science and IT students with a basic understanding of networking and cybersecurity, interested in specializing in IoT security IoT enthusiasts and makers with some technical background who want to ensure their projects are secure Business leaders and decision-makers who need a technical understanding of IoT security for their organization's IoT implementations Homepage https://www.udemy.com/course/cybersecurity-for-iot-internet-of-things/ Screenshot Rapidgator https://rg.to/file/4e7f7b86f6b857833498ee4f5bf9ef3a/llequ.Cybersecurity.for.IoT.Internet.of.Things.part1.rar.html https://rg.to/file/da2232dd2e2f97ff3e37a322b0b33c05/llequ.Cybersecurity.for.IoT.Internet.of.Things.part2.rar.html Fikper Free Download https://fikper.com/0v1zYeA4Sz/llequ.Cybersecurity.for.IoT.Internet.of.Things.part1.rar.html https://fikper.com/KvACvTyGnB/llequ.Cybersecurity.for.IoT.Internet.of.Things.part2.rar.html No Password - Links are Interchangeable

Free Download Cybersecurity Defense with Generative AI - 100 Lessons Guide Published 10/2024 Created by Peter Alkema,Regenesys Business School MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 104 Lectures ( 8h 16m ) | Size: 5.64 GB Master Cybersecurity Basics: Protect Networks, Data, and Applications while Learning Key Threats and Security Policies What you'll learn Understand cybersecurity basics, including network, application, and data security, to protect digital assets and systems from threats Recognize and mitigate cyber threats like malware and phishing, learning techniques to reduce risks and enhance system security Develop practical skills in password protection, document security, and basic malware analysis through hands-on cybersecurity exercises Create and enforce cybersecurity policies to safeguard organizational systems and ensure compliance with best security practices Requirements Basic Computer Skills: Learners should be comfortable using a computer, navigating the internet, and working with common applications No Prior Cybersecurity Knowledge Required: This course is beginner-friendly, so no previous experience in cybersecurity is needed Access to a Computer and Internet: Learners will need a computer with an internet connection to parti[beeep]te in the course and complete hands-on exercises Optional Software: Basic knowledge of Microsoft Office (Word, Excel, PowerPoint) is helpful but not mandatory. Learners can download free tools for hands-on experiments Description Imagine this: You're sitting at your desk one day when you receive a suspicious email. It looks harmless enough at first glance-a routine update from a service you use-but something seems off. You hesitate. Do you click the link? Do you ignore it? Without a deep understanding of cybersecurity, this seemingly small decision could have massive consequences. That one click could compromise your personal information, company data, or even open the door to malicious hackers.Now, imagine you're prepared. Armed with the knowledge of how cyber threats work, you instantly recognize the red flags of a phishing attempt. Instead of falling victim, you take action, protecting yourself, your devices, and possibly your entire organization. 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We'll also cover more advanced topics like Mobile Security, ensuring you understand the vulnerabilities of smartphones and tablets, and Cloud Security, helping you secure data in cloud-based services.One of the unique aspects of this course is the hands-on approach. You'll get to complete several experiments, such as creating strong passwords, setting up security for Word and Excel documents, and analyzing your personal computer's security settings. These exercises will help you apply what you've learned in real-world scenarios, so you'll be able to take immediate steps to improve your digital security.As the course progresses, you'll also delve into the world of Enterprise Architecture and Malware Analysis, helping you understand how organizations structure their security and how malicious software is studied and countered. We'll even touch on Cyber Forensics, giving you insight into the methods professionals use to investigate cybercrimes.Practical Application for Every LearnerWhether you're looking to bolster your career or simply want to protect your personal devices, this course is packed with practical knowledge. By learning about cybersecurity policies, user protocols, and how to mitigate attacks, you'll be prepared to face the digital world confidently. As you move through topics like web application security, network traffic analysis, and even database security, you'll gain skills that are applicable in many different settings-personal, academic, and professional.Become the Cybersecurity HeroBy the end of this course, you won't just have a deeper understanding of cybersecurity-you'll have the tools to take action. Whether it's at home, at work, or in a larger organizational setting, you'll know how to protect digital assets, secure systems, and prevent attacks before they happen.Enroll now and take your first step toward becoming the cybersecurity hero of your own story! Who this course is for This course is ideal for beginners interested in entering the field of cybersecurity, as well as professionals from IT, business, or related fields who want to enhance their understanding of cyber threats and security measures. It's also perfect for students who want to build a strong foundation in cybersecurity or anyone who wishes to protect their personal or organizational data from online threats. 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Free Download Cybersecurity Defense with GenAI Last updated 10/2024 Created by Dr. Amar Massoud MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 13 Lectures ( 1h 42m ) | Size: 607 MB Mastering Cybersecurity with GenAI: Automate Threat Detection, Response, and Security Operations What you'll learn Understand how to integrate GenAI into cybersecurity frameworks. Automate routine security tasks using Generative AI. Improve threat detection and response with GenAI. Enhance security posture through AI-driven vulnerability management. Requirements Basic understanding of cybersecurity concepts and practices is helpful but not required. Description Discover how Generative AI (GenAI) is revolutionizing cybersecurity in this comprehensive course. Designed for cybersecurity professionals, IT managers, and anyone interested in AI's role in security, this course will teach you how to leverage GenAI to automate and enhance your security operations.You'll learn how to integrate GenAI into existing security frameworks, improving threat detection and response times while automating routine security processes. By the end of the course, you'll understand how to optimize your security posture through AI-driven vulnerability management and real-time threat analysis. You'll also explore best practices for automating tasks like patch management, access control, and incident reporting to reduce manual workloads and minimize the risk of human error.With hands-on labs and practical examples, you'll gain the skills needed to implement GenAI in real-world security environments. Whether you're managing a small team or an enterprise-level operation, this course will equip you with the knowledge to enhance your organization's cybersecurity strategy.Key topics include GenAI for threat hunting, automating security reports, and managing security operations ticketing systems. This course is perfect for security analysts, IT leaders, and tech enthusiasts looking to stay ahead in the rapidly evolving field of cybersecurity.Enroll now to unlock the power of AI and take your cybersecurity operations to the next level with GenAI! Who this course is for Cybersecurity professionals looking to leverage AI for enhanced security operations. IT managers aiming to integrate GenAI into their security infrastructure. Security analysts interested in automating and optimizing security tasks. Anyone curious about how AI can transform cybersecurity practices. Homepage https://www.udemy.com/course/cybersecurity-defense-with-genai/ Screenshot Rapidgator https://rg.to/file/7de27cc0723cca962effc0cd3946eee9/nrxnr.rar.html Fikper Free Download https://fikper.com/q5Ub52fJ2H/nrxnr.rar.html No Password - Links are Interchangeable

Free Download Cybersecurity Defense with GenAI - Foundations & Fundamentals Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 36m | Size: 600 MB Learn how generative AI transforming cybersecurity defense with insights into AI-driven threat detection and response!! What you'll learn Introduction to Cybersecurity and AI Generative AI Fundamentals AI-Driven Threat Detection Automating Incident Response with AI Predictive Analytics in Cybersecurity AI-Based Vulnerability Management Ethical Considerations in AI-Driven Cybersecurity Case Studies: AI in Cyber Defense Future of AI in Cybersecurity Best Practices for Implementing AI in Cybersecurity Requirements There are no specific technical prerequisites, but a basic understanding of cybersecurity principles, IT infrastructure, and general AI concepts is helpful. Prior experience in IT security or cybersecurity roles will enhance the learning experience, though it's not mandatory for those with an interest in this field. Description Cybersecurity Defense with GenAI Fundamentals is a course that explores the intersection of artificial intelligence (AI) and cybersecurity. It introduces how generative AI (GenAI) can be used to bolster defense mechanisms against cyber threats, automate threat detection, and improve incident response strategies. The course covers the theoretical foundations of using AI in cybersecurity while providing insights into the evolving role of AI in protecting digital infrastructures.As cyber threats become increasingly sophisticated, traditional methods of defense are often insufficient. Generative AI has the potential to revolutionize cybersecurity by automating the detection of anomalies, predicting attack patterns, and responding to incidents in real-time. Understanding how to leverage AI for cybersecurity defense can significantly improve the resilience of organizations to attacks, making this knowledge crucial for IT and security professionals.Advantages of Learning Cybersecurity Defense with GenAI Fundamentals1. Enhanced Cyber Defense: Learn how AI can be used to proactively detect and mitigate threats.2. Automation of Cybersecurity Processes: Understand how AI automates routine tasks like threat detection, vulnerability scanning, and response automation.3. Predictive Analytics: Gain insights into how AI predicts future attacks and enhances defense strategies.4. Improved Incident Response: Discover how AI reduces the time and resources needed to respond to security incidents.5. Future-Proof Skills: Stay ahead of the curve by mastering cutting-edge technologies shaping the future of cybersecurity.This course focuses on theoretical concepts and foundations, and there will be no labs, technical configuration, or setup required. Who this course is for This course is ideal for cybersecurity professionals, IT security teams, and anyone in IT leadership roles who want to leverage generative AI to strengthen their organization's cybersecurity defenses. It is also suitable for AI enthusiasts looking to apply their knowledge to cybersecurity challenges. By learning the fundamentals of GenAI in cybersecurity, professionals can improve their threat mitigation skills and stay prepared for the future of cyber defense. Homepage https://www.udemy.com/course/cybersecurity-defense-with-genai-foundations-fundamentals/ Screenshot Rapidgator https://rg.to/file/e8bd99827a6d5c78b7a2da93bb8c4d2c/dilmf.Cybersecurity.Defense.with.GenAI.Foundations..Fundamentals.rar.html Fikper Free Download https://fikper.com/U7YZUWrPBl/dilmf.Cybersecurity.Defense.with.GenAI.Foundations..Fundamentals.rar.html No Password - Links are Interchangeable

Free Download Cybersecurity Audit School 2024 Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 11.69 GB | Duration: 18h 30m "Enhancing Auditors' Roles in Cyber Risk Management and Control Assessment" What you'll learn Be able to identify and assess cybersecurity risks specific to their organization. Understand how to implement and evaluate cybersecurity controls. Recognize the auditor's role in the cybersecurity landscape and how to collaborate with cybersecurity teams. Gain practical experience through scenarios that reinforce theoretical concepts. Requirements Parti[beeep]nts are expected to have the following foundational knowledge and skills before enrolling in the course 1. Basic Understanding of Auditing Principles: Familiarity with auditing concepts, processes, and methodologies is essential. 2. Introductory Knowledge of Cybersecurity: A general understanding of cybersecurity terms, concepts, and common threats is beneficial. 3. Experience with Risk Management: Prior experience or coursework related to risk assessment and management will enhance comprehension of course material. 4. Familiarity with Regulatory Standards: Awareness of industry standards and regulations related to cybersecurity, such as GDPR, HIPAA, or PCI-DSS, is advantageous. While these prerequisites are recommended, a strong desire to learn and engage with cybersecurity topics will also support parti[beeep]nts' success in the course. Description In an era of increasing cyber threats, auditors must go beyond traditional roles and understand the complexities of cybersecurity. This course equips parti[beeep]nts with the knowledge and skills to effectively contribute to their organization's cybersecurity efforts. Attendees will explore the risks associated with cyberattacks, learn how to design and implement robust controls, and understand compliance with industry standards and regulations.Key topics include effective control frameworks, identifying warning signs of potential incidents, and employing investigative techniques to analyze cybersecurity breaches.By the end of the course, attendees will be empowered to assess the effectiveness of cybersecurity controls and understand their crucial role as members of their organization's "Cyber Defense Team." This comprehensive program is essential for auditors aiming to enhance their contributions to safeguarding organizational data and infrastructure. Join us to build your expertise in cybersecurity and ensure your organization is well-prepared to face evolving threats.Key Topics:Cybersecurity Fundamentals: Overview of key concepts, terminology, and frameworks in cybersecurity.Control Frameworks: Examination of popular cybersecurity frameworks (e.g., NIST, ISO 27001) and their application in organizational contexts.Positioning Controls: Strategies for determining the most effective placement of cybersecurity controls within organizational processes.Substantive Testing: Techniques for assessing the effectiveness of cybersecurity controls through substantive testing. Overview Section 1: Cybersecurity Audit School Lecture 1 Overview Lecture 2 Cybersecurity Key Concepts Lecture 3 Cybersecurity History and Breaches Lecture 4 Types of Cyber Attacks - Human Lecture 5 Types of Cyber Attacks - Technical Lecture 6 Cybersecurity Frameworks, Standards Lecture 7 NIST Frameworks and Standards Lecture 8 Industry Frameworks (PCI, HIPAA, CIS CSC, ISO/IEC) Lecture 9 Cybersecurity Oversight, Governance & Compliance Lecture 10 Security Policies Lecture 11 Security Risk Management Overview Lecture 12 Threat Analysis Lecture 13 Security Risk Management in Practice Lecture 14 Asset Identification and Inventory Lecture 15 Third-party / Service Provider Management Lecture 16 Business Impact Assessment Lecture 17 Configuration Management and Change Control Lecture 18 Defending Business Assets Overview Lecture 19 Identity and access management Lecture 20 Authentication and Authorization Lecture 21 Vulnerability and Patch Management Lecture 22 Security awareness Lecture 23 Physical Security Lecture 24 Personnel Security Lecture 25 Computer Networking Fundamentals Lecture 26 Network Defenses Lecture 27 Network Security Access Controls Lecture 28 EndPoint and System Security Configuration Lecture 29 EndPoint and System Security Protection Lecture 30 Application Security Lecture 31 Cloud & Virtualization Security Lecture 32 Encryption Concepts Lecture 33 Cryptographic Algorithms Lecture 34 Encryption - Public Key Infrastructure Lecture 35 Data Privacy Controls Lecture 36 Securing Data Lecture 37 Logging, monitoring and alerting Lecture 38 Incident Response (IR) Planning Lecture 39 Incident Response (IR) Testing Lecture 40 Digital Forensics Lecture 41 Recovering Systems Lecture 42 Business Continuity and Recovery Lecture 43 The Auditor's Role Lecture 44 CISO's Role Lecture 45 Establishing Audit Scope Lecture 46 Building the Audit Plan Lecture 47 Cybersecurity evaluation methods Lecture 48 Vulnerability Assessments, Scanning and Testing Lecture 49 Penetration Testing Lecture 50 Security Maturity Models Lecture 51 Auditing using NIST frameworks Lecture 52 Auditing other security frameworks, standards ISO Lecture 53 Auditing PCI DSS Lecture 54 Cybersecurity Auditing Examples Lecture 55 Collecting and Organizing Cybersecurity Evidence Lecture 56 NIST Reporting Requirements Lecture 57 Prioritizing Risks and Influencing decisions Lecture 58 Course Summary and Conclusion This course is ideal for anyone looking to strengthen their skills in cybersecurity assessment and contribute effectively to their organization's cyber defense strategy. 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Free Download Cyberark Vault Fundamentals Published 10/2024 Created by IT Security MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 12 Lectures ( 1h 11m ) | Size: 729 MB Installation, Configuration, and Password Management What you'll learn Installing Vault in Cyberark Cyberark Showing how to install vault License Agreements in Cyberark Cyberark Click and go Connect remote control agent in Cyberark Folder Organization for Accessibility in Cyberark Select safe and address in Cyberark Password Manager in Cyberark Change password means updating target and world in Cyberark Cyberark Follow the flow Cyberark Verify password flow Cyberark Operations Depend on Key Requirements Basic understanding of IT security concepts: Familiarity with concepts like authentication, authorization, and encryption. Knowledge of network infrastructure: Understanding of network components, protocols, and topologies. Description Cyberark Vault is a powerful privileged access management (PAM) solution that safeguards sensitive credentials and controls access to critical systems. This foundational course provides the essential knowledge and skills to effectively install, configure, and manage Vault within your organization. In today's digital landscape, safeguarding sensitive information is paramount, and CyberArk Vault serves as a robust solution for privileged access management. This course, "CyberArk Vault Fundamentals," offers a comprehensive introduction to the installation, configuration, and password management within the CyberArk environment.The journey begins with the installation of CyberArk Vault, where parti[beeep]nts learn to set up the vault environment effectively. This involves navigating through the installation process and understanding the necessary components to ensure a smooth deployment. Parti[beeep]nts will also review the essential licensing agreements that govern the use of CyberArk products.Installation and Configuration:Understanding Vault Architecture: Gain a solid grasp of Vault's components, including the Vault Server, Vault Clients, and the Central Policy Manager.Deployment Options: Explore various deployment scenarios, such as on-premises, cloud-based, or hybrid environments.Installation Process: Learn step-by-step instructions for installing Vault Server and Vault Clients on your chosen infrastructure.Configuration Best Practices: Discover essential configuration settings to ensure optimal performance, security, and compliance.Password Management:Creating and Managing Safes: Understand the concept of Safes and learn how to create, modify, and manage them effectively.Adding Targets and Accounts: Add targets (systems or applications) and accounts (usernames and passwords) to Safes for centralized management.Password Policies and Rotation: Implement robust password policies to enforce strong password requirements and automate password rotation.Password Retrieval and Change: Learn how to retrieve stored passwords securely and initiate password changes using Vault's built-in mechanisms. Who this course is for Security administrators System administrators Network engineers Compliance officers Anyone responsible for protecting sensitive data and systems. Homepage https://www.udemy.com/course/cyberark-vault-fundamentals/ Screenshot Rapidgator https://rg.to/file/b858ffad5616f6df42a28a0bf97cf973/ifoom.Cyberark.Vault.Fundamentals.rar.html Fikper Free Download https://fikper.com/EZaBYArrXt/ifoom.Cyberark.Vault.Fundamentals.rar.html No Password - Links are Interchangeable

Free Download Customer Service Mastery Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.77 GB | Duration: 3h 58m The Complete Guide To Increasing The Value Of Your Customer Service What you'll learn How To Approach Building Rapport With Customers How And When To Manage Customers Expectations How Can We Pair Active Listening With Strategic Language To Create Incredible Results How To Deal With Upset Customers and De-Escalate Any Situation How Social Media Plays a Role In Quality Customer Service How To Set Up And Manage Customer Service Systems How To Collect And Analyze Customer Feedback How To Develop Resilience And Avoid Burn Out Requirements There are no pre-requisites for this course, but I would recommend starting with an open mind about how you approach every conversation you have moving forward. Description Welcome to the Prototopics Customer Service Mastery Course, designed for business owners, aspiring customer service professionals, and seasoned customer service employees seeking to elevate their skills and understanding of modern customer service practices. This course offers a comprehensive exploration into the science of customer service, combining theory with practical applications to transform customer interactions and drive business success.What You Will LearnUnderstanding the Customer: Dive deep into the psyche of today's consumers. Learn how to map customer journeys, develop empathy, and recognize the diverse needs and expectations of different customers.Communication Excellence: Master the art of effective communication, both verbal and non-verbal. We'll cover active listening, clarity in response, and the nuances of digital communication across various platforms.Handling Complaints and Difficult Situations: Equip yourself with strategies to turn complaints into opportunities. Learn techniques for de-escalating conflicts, managing difficult customers, and transforming negative experiences into positive outcomes.Leveraging Technology: Discover how to use technology to enhance customer service. You'll learn how to utilize tools that streamline service and personalize customer interactions, such as Customer Relationship Management (CRM).Data-Driven Decision Making: Understand how to collect, analyze, and act on customer feedback. We'll explore key metrics and analytics that guide improvements in service quality and customer satisfaction.Creating Personalized Experiences: Learn the importance of personalization in building loyalty and enhancing customer experiences. We'll share strategies for tailoring interactions and services to meet individual customer needs.Team Management and Leadership: For those leading customer service teams, gain insights on hiring, training, and motivating employees to achieve excellence in customer service. Learn how to create a culture that prioritizes exceptional service.Future Trends and Innovation: Stay ahead of the curve by exploring emerging trends in customer service. From the integration of augmented reality to the implications of social media, learn what the future holds and how to prepare for it.Course Features:Interactive Learning: Engage with dynamic lessons that include real-world case studies, interactive discussions, and practical exercises.Expert Insights: Learn from industry leaders who share their experiences and strategies for success.Flexible Learning: Access course materials at your convenience, allowing you to learn at your own pace and schedule.Community Support: Join a community of like-minded professionals to share insights, challenges, and successes.Who Should Enroll:This course is ideal for anyone involved in or interested in customer service, including business owners, managers, frontline customer service staff, and those looking to enter the field. Whether you're looking to refine your skills, lead a team to excellence, or revolutionize your organization's customer service, this course offers the tools and insights you need.Let's Get Started!By the end of this course, you'll not only have a deeper understanding of what makes exceptional customer service but also possess the practical skills to implement meaningful changes. Join us on this journey to mastering customer service and unlock the full potential of your customer interactions. Overview Section 1: Introduction Lecture 1 How This Course Works Section 2: Lesson One: The Customer Lecture 2 The Value Of A Customer Lecture 3 Every Complaint Is Real Lecture 4 Essential Skills For Customer Service Lecture 5 Common Mistakes To Avoid Lecture 6 The Difference Between Low-Ticket Sales And High-Ticket Sales Lecture 7 Going Above And Beyond Section 3: Building Rapport With Customers Lecture 8 First Impressions Lecture 9 Using Small Talk To Break The Ice Lecture 10 Discovering The Problem Lecture 11 The Power Of Your Voice Lecture 12 Smiling And Eye Contact Lecture 13 Body Posture Lecture 14 Avoiding Fidgeting Lecture 15 Making Use Of Gestures Lecture 16 Mirroring Body Language Section 4: Managing Customer Expectations Lecture 17 Asking The Questions That Matter Lecture 18 Setting Realistic Customer Expectations Lecture 19 Why Customers Miss Information Lecture 20 Dealing With Unreasonable Expectations Lecture 21 Creating Lifelong Customers Lecture 22 Controlling The Conversation Lecture 23 How To Manage Upsells - F.U.G.I Section 5: Actively Listening & Using Language Strategically Lecture 24 What Is Active Listening? Lecture 25 Benefits Of Active Listening Lecture 26 Barriers of Effective Listening Lecture 27 Clarify And Paraphrase Lecture 28 Open-Ended vs Closed-Ended Questions Lecture 29 Verbal And Non-Verbal Affirmations Lecture 30 What To Listen For In Customer Communications Lecture 31 Building Trust and Restoring Customer Confidence Lecture 32 Uncovering Customer Motivations Lecture 33 Adding Emotion To Your Writing Lecture 34 The Buyers Line Section 6: Dealing With Upset Customers Lecture 35 Introduction To Upset Customers Lecture 36 Showing Empathy Lecture 37 Taking Ownership Lecture 38 Language That Triggers Negative Emotions Lecture 39 Learning From Difficult Conversations Lecture 40 Preventing Upset Customers Lecture 41 Collecting Feedback Lecture 42 Effective Strategies For Delivering Bad News Lecture 43 The Customer Isn't Always Right, Sorry Sam Section 7: Social Media For Customer Service Lecture 44 Social Listening Lecture 45 Engaging On Social Media Lecture 46 Dealing With Positive Reviews Lecture 47 Dealing With Negative Reviews Section 8: Customer Service Systems Lecture 48 Various Forms Of Customer Service Lecture 49 Domain Name And DNS Configuration Lecture 50 How To Use Zendesk Lecture 51 Building a Customer Service Template Of Questions Lecture 52 Creating Continuity Across All CSRs on Your Team Lecture 53 Ongoing Training To Improve Your Customer Service Skills Lecture 54 How To Train CSRs Lecture 55 Customer Service Chain Of Command Lecture 56 Time Management Section 9: Analysis And Feedback Lecture 57 Collecting Customer Feedback Using Your Website Lecture 58 Collecting Customer Feedback Using Email Lecture 59 Using Social Media And Apps For Feedback Lecture 60 Analyzing Customer Feedback Lecture 61 Addressing Common Customer Complaints Section 10: Developing Resilience And Avoiding Burnout Lecture 62 Self-Care In Customer Service Lecture 63 Building The Resilience To Succeed Lecture 64 The Power Of "What If" And Creative Problem Solving Section 11: Final Exam Outgoing Individuals looking for an exciting, new career opportunity,Customer Service Representatives trying to hone in our their craft,Small Business Owners overseeing customer service or overseeing a team of customer service representatives,New graduates seeking a career path that want to show additional initiative within the customer service field Screenshot Homepage https://www.udemy.com/course/customer-service-mastery-i/ Rapidgator https://rg.to/file/35fbf33dd8af7e0b7cd2a3cf727ae38f/rweiq.Customer.Service.Mastery.part1.rar.html https://rg.to/file/b87935c4f23c6a9911c3081d2a8e12e1/rweiq.Customer.Service.Mastery.part2.rar.html https://rg.to/file/c5beb018e94186056add9d3b72d877c0/rweiq.Customer.Service.Mastery.part3.rar.html https://rg.to/file/e66fe61ae1242ab511410f764b7a4747/rweiq.Customer.Service.Mastery.part4.rar.html https://rg.to/file/ed63124285667d9b472e6b1b9c881f66/rweiq.Customer.Service.Mastery.part5.rar.html Fikper Free Download https://fikper.com/6xD1xETSmx/rweiq.Customer.Service.Mastery.part4.rar.html https://fikper.com/FbwL3tECHi/rweiq.Customer.Service.Mastery.part5.rar.html https://fikper.com/SWwJYTU6CH/rweiq.Customer.Service.Mastery.part2.rar.html https://fikper.com/YunhtzLJJf/rweiq.Customer.Service.Mastery.part3.rar.html https://fikper.com/ymzDg1DrGF/rweiq.Customer.Service.Mastery.part1.rar.html No Password - Links are Interchangeable