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Free Download Udemy - Risk Management with Primavera Risk Analysis Step by Step Published: 3/2025 Created by: Waheed Anwar MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 64 Lectures ( 11h 43m ) | Size: 7.56 GB Learn effective risk management with Primavera Risk Analysis through step-by-step techniques and practical strategies. What you'll learn Learn to set up and configure Primavera Risk Analysis software to effectively manage and mitigate project risks. Master risk identification techniques using qualitative and quantitative methods to assess project risks and their potential impact. Generate and analyze key risk management reports (e.g., Risk Matrix, Tornado Graph, and Critical Path Analysis) to improve decision making and project success. Apply Monte Carlo simulations in Primavera Risk Analysis to forecast project outcomes and evaluate risks with data-driven insights. Develop and manage a comprehensive Risk Register to track, monitor, and mitigate project risks throughout the project lifecycle. Integrate risk data directly into project schedules to proactively address risks and optimize project timelines. Identify and manage critical path risks to ensure successful project delivery and timely completion. Evaluate risk mitigation strategies by comparing pre-mitigated and post-mitigated simulations for more informed decision making. Organize risks with a Risk Breakdown Structure (RBS) to prioritize and manage project risks effectively. Learn to use risk scoring techniques to prioritize the most impactful risks and allocate resources efficiently for risk mitigation. Communicate project risks effectively to stakeholders using clear reports and presentations, ensuring timely responses and mitigation actions. Requirements No prior experience is required. This course is designed for both beginners and professionals, teaching you everything you need to know about managing and mitigating project risks using Primavera Risk Analysis and Primavera P6. All you need is a basic understanding of how to use a computer. Description Unlock the full potential of Risk Management with Primavera Risk Analysis in this comprehensive, step-by-step course. Designed for project managers and professionals, this course will teach you how to manage and mitigate risks effectively, ensuring the success of your projects.Through hands-on lessons and real-world applications, you will learn to:Set up Primavera Risk Analysis software for efficient risk management.Master risk identification techniques using both qualitative and quantitative methods.Apply Monte Carlo simulations to forecast project outcomes and analyze risks.Develop and manage a Risk Register to track and mitigate potential project risks.Generate and interpret key reports like the Risk Matrix, Tornado Graph, and Critical Path Analysis to visualize risk impacts.Integrate risks directly into your project schedules for better decision making and project optimization.Learn how to implement risk strategies that help reduce delays and unexpected costs, ensuring that projects stay within scope, time, and budget.By the end of the course, you'll be equipped to identify, assess, and respond to risks effectively, making data driven decisions that enhance project planning and execution. Whether you're new to risk management or looking to improve your skills, this course provides the practical knowledge you need to excel in any project and become an effective risk manager. Who this course is for This Risk Management using Primavera Risk Analysis course is perfect for beginners learning project risk management, intermediate professionals enhancing skills in delay analysis, cost control, risk identification, and risk mitigation, and advanced users applying Primavera Risk Analysis in real-world scenarios. Ideal for project managers, planners, and business professionals in industries like construction, IT, oil and gas, and manufacturing. Learn to manage, mitigate, and monitor risks effectively for successful project delivery and optimized outcomes. 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Free Download Udemy - Wireshark | Wireshark Packet Analysis for Network Security (2025) Published: 3/2025 Created by: Oak Academy,OAK Academy Team MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 55 Lectures ( 5h 32m ) | Size: 2.54 GB Networking | Learn packet capture, network analysis & troubleshooting with Wireshark for better Network & Cyber Security What you'll learn Understand the OSI model, Ethernet principles, IP addressing, and key protocols like TCP, UDP, DNS, and HTTP. Learn how to install and configure Wireshark on both Windows and Linux. Navigate Wireshark's interface, create custom profiles, and use coloring rules for efficient analysis. Apply capture and display filters to isolate specific traffic and analyze it effectively. Analyze key protocols like IP, TCP, DHCP, DNS, HTTP, and HTTPS to troubleshoot network issues. Detect suspicious traffic and enhance network security by identifying potential threats. Practice analyzing real network traffic to solve common and complex network problems. Learn how to identify bottlenecks and optimize network performance. Understand how IP fragmentation works and how to analyze fragmented packets. Develop the skills to diagnose and resolve advanced network issues with confidence. IPv4 , IPv6 Requirements Basic Computer Skills: Familiarity with operating systems like Windows or Linux. A Computer: To install and run Wireshark (Windows or Linux recommended). Internet Connection: To access course materials and download resources. Curiosity and Willingness to Learn: No prior experience with Wireshark or network analysis is required. We'll start from the basics! Virtualization Software (Optional): Tools like VirtualBox or VMware can be helpful for creating lab environments. Basic Networking Knowledge (Optional): While not mandatory, a basic understanding of networking concepts will help you grasp the material faster. Description Welcome to "Wireshark | Wireshark Packet Analysis for Network Security" course.Networking | Learn packet capture, network analysis & troubleshooting with Wireshark for better Network & Cyber securityWireshark is a software tool used to monitor the network traffic through a network interface. It is the most widely used network monitoring tool today. Wireshark is loved equally by system administrators, network engineers, network enthusiasts, network security professionals ,ethical hackers and security researchers.Wireshark is a network packet analyzer. A network packet analyzer presents captured packet data in as much detail as possible.You could think of a network packet analyzer as a measuring device for examining what's happening inside a network cable, just like an electrician uses a voltmeter for examining what's happening inside an electric cable (but at a higher level, of course).In the past, such tools were either very expensive, proprietary, or both. However, with the advent of Wireshark, that has changed. Wireshark is available for free, is open source, and is one of the best packet analyzers available today.Wireshark is the most often-used packet sniffer in the world. Like any other packet sniffer, Wireshark does three things:Packet Capture: Wireshark listens to a network connection in real time and then grabs entire streams of traffic - quite possibly tens of thousands of packets at a time.Filtering: Wireshark is capable of slicing and dicing all of this random live data using filters. By applying a filter, you can obtain just the information you need to see.Visualization: Wireshark, like any good packet sniffer, allows you to dive right into the very middle of a network packet. It also allows you to visualize entire conversations and network streams.Master network traffic analysis with Wireshark! What you will learn:This course is designed with detailed, structured sections, each focusing on a crucial aspect of network analysis using Wireshark. By the end of this course, you will:Understand network fundamentals and the OSI model in depth.Install and configure Wireshark on both Windows and Linux with ease.Navigate Wireshark's interface, profiles, and customization options like a pro.Apply advanced filters to isolate and analyze traffic effectively.Examine key protocols, including TCP, UDP, DHCP, DNS, HTTP, and HTTPS.Identify and troubleshoot network issues efficiently and effectively.Identify and mitigate security threats through traffic analysis.This hands-on course will give you the expertise to confidently capture, analyze, and interpret network traffic for troubleshooting, performance optimization, and security enhancement.In this course, you will learn packet capture, protocol analysis, and network troubleshooting using Wireshark. Through hands-on practice and real-world scenarios, you'll explore essential network protocols like TCP/IP, HTTP, and DNS while mastering Wireshark's powerful tools. Whether you're a cybersecurity professional, system administrator, or network engineer, this course will equip you with the skills to analyze network traffic, detect security threats, and optimize performance from scratch.What is Wireshark?Wireshark is an open-source network protocol analysis software program, widely considered the industry standard. A global organization of network specialists and software developers supports Wireshark and continues to make updates for new network technologies and encryption methods.How does Wireshark work?Wireshark is a packet sniffer and analysis tool. It captures network traffic from ethernet, Bluetooth, wireless (IEEE.802.11), token ring, and frame relay connections, among others, and stores that data for offline analysis.When should Wireshark be used?Wireshark can be used to understand how communication takes place across a network and to analyze what went wrong when an issue in communication arises.Wireshark helps:Network administrators troubleshoot problems across a networkSecurity engineers examine security issues across a networkQA engineers verify applicationsDevelopers debug protocol implementationsNetwork users learn about a specific protocolWhy would you want to take this course?Our answer is simple: The quality of teachingOAK Academy based in London is an online education company OAK Academy gives education in the field of IT, Software, Design, development in Turkish, English, Portuguese, and a lot of different language on Udemy platform where it has over 2000 hours of video education lessons. When you enroll, you will feel the OAK Academy`s seasoned developers' expertiseVideo and Audio Production QualityAll our content is created/produced as high-quality video/audio to provide you the best learning experienceYou will be,Seeing clearlyHearing clearlyMoving through the course without distractionsYou'll also get:Lifetime Access to The CourseFast & Friendly Support in the Q&A sectionUdemy Certificate of Completion Ready for DownloadWe offer full support, answering any questionsDive in now into the "Wireshark | Wireshark Packet Analysis for Network Security" course.Networking | Learn packet capture, network analysis & troubleshooting with Wireshark for better Network & Cyber security Who this course is for Anyone interested in network Those who have a career goal in the field of network and security Those who have a basic knowledge of network and want to take it to higher levels. 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Free Download International Financial Statement Analysis and Review Course Published: 3/2025 Created by: Md Sanaullah | US CMA, M Com, B Com | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 51 Lectures ( 21h 15m ) | Size: 15.8 GB The Complete Guide to Financial Analysis, Reporting, US GAAP & IFRS I Book & MCQs | Ideal for Aspiring CFOs & FDs What you'll learn Master Financial Statements: Learn to analyze Balance Sheets, Income Statements, and Cash Flows to assess a company's financial health and performance. Apply U.S. GAAP & IFRS: Gain expertise in revenue recognition, liability valuation, and income taxes for accurate financial reporting. Conduct Advanced Analysis: Use vertical, horizontal, and ratio analysis to evaluate liquidity, solvency, profitability, and market trends. Evaluate Financial Health: Calculate and interpret key ratios like current ratio, debt-to-equity, and return on assets to identify strengths and risks. Communicate Insights Effectively: Develop skills to present financial findings in clear, actionable reports for better decision-making. Reinforce Learning with Tools: Access MCQs, Excel templates, and resources to practice and apply concepts in real-world scenarios. 22+ hour complete financial analyst course! Create a financial model (projecting the future) for an income statement. Create a financial model (projecting the future) for a balance sheet. Create a financial model (projecting the future) for a cash flow statement. Analyze and understand a cash flow statement (even if you have no experience ). Build a company's P&L from scratch Requirements Basic understanding of finance and accounting principles. Graduation or undergraduate in finance or a related field. Familiarity with financial statements like balance sheets and income statements. Proficiency in basic math and spreadsheet tools (e.g., Excel). Eagerness to learn and apply financial reporting concepts. Access to a computer with internet for course materials. Description Are you ready to dive deep into the world of External Financial Reporting Decisions and emerge with a mastery that sets you apart in the finance industry? This 30-hour intensive course is meticulously designed to provide you with fresh, practical, and in-depth knowledge of financial reporting, guided by an instructor with 15 years of hands-on experience in finance, including managing companies and finalizing financial statements.What You'll Learn:Master the Core Financial Statements: Gain a deep understanding of the Balance Sheet, Income Statement, Statement of Cash Flows, Statement of Comprehensive Income, and Statement of Changes in Stockholders' Equity, along with their limitations.Practical Application of Accounting Standards: Learn how to apply U.S. GAAP and IFRS principles in real-world scenarios, including revenue recognition, valuation of liabilities, and accounting for income taxes.Hands-On Financial Analysis: Develop skills to analyze and interpret financial data, ensuring accurate and insightful reporting for informed decision-making.Comprehensive MCQ Practice: Test and reinforce your knowledge with hundreds of multiple-choice questions designed to prepare you for real-world challenges and certification exams.Expert Insights from Industry Experience: Benefit from practical tips, strategies, and real-world examples shared by an instructor with 15 years of experience in managing companies and finalizing financial statements.Course Highlights:In-Depth Coverage of Key Topics: From accounts receivable, inventory, and investments to property, plant, and equipment, intangible assets, and owners' equity, this course covers every critical aspect of financial reporting.Practical Tools and Techniques: Learn how to perform vertical analysis, horizontal analysis, and ratio analysis to evaluate a company's financial health and performance.Real-World Applications: Explore liquidity ratios, solvency ratios, profitability ratios, and market prospects ratios to assess a company's financial stability, profitability, and growth potential.Exclusive Resources: Access downloadable PDFs, preformatted Excel spreadsheets, and a comprehensive book to reinforce your learning and serve as a valuable reference guide.Capstone Financial Statement Analysis Report: Learn how to effectively communicate your findings and insights through a structured financial statement analysis report.Who Should Enroll?Accounting and Finance Professionals seeking to enhance their skills in financial reporting and deepen their understanding of key accounting standards and analytical techniques.Undergraduate and Graduate Students studying accounting, finance, or related fields who wish to strengthen their knowledge and practical application of financial reporting.Your Instructor:With 15 years of experience in finance, including managing companies and finalizing financial statements, your instructor brings a unique blend of theoretical knowledge and practical expertise. Having navigated the complexities of financial reporting in real-world scenarios, they are uniquely positioned to guide you through the intricacies of external financial reporting decisions.Enroll Now and Transform Your Financial Reporting Skills!Don't just learn financial reporting-master it. With this course, you'll gain the knowledge, skills, and confidence to make informed financial reporting decisions that drive business success. Enroll today and take the first step towards becoming a financial reporting expert. Who this course is for Accounting and Finance Professionals seeking to enhance their skills in financial reporting and deepen their understanding of key accounting standards and analytical techniques. Business Owners, Entrepreneurs, and Managers who want to make informed decisions based on a thorough analysis of financial statements. 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Free Download Investing & Trading - Intermarket Analysis & Sector Rotations Published: 3/2025 Created by: Jörg Marinko MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 30 Lectures ( 2h 45m ) | Size: 1.24 GB Gain a competitive edge by leveraging the fundamental forces that drive market movements What you'll learn Master the economic cycle and how it impacts intermarket relationships and sector performances. Understand the core principles of intermarket analysis, including the relationships between stocks, bonds, commodities, and currencies Apply sector rotation strategies to align your portfolio with prevailing market conditions. Utilize technical and fundamental analysis tools to identify opportunities and optimize your timing for entering or exiting sectors Analyze market data and implement strategies using ETFs, stocks, or other investment instruments Requirements Basic understanding of financial instruments (e.g., stocks or bonds) Familiarity with fundamental and technical analysis is advantageous Economic educational background comes in handy Description This course is a comprehensive course designed to elevate your trading and investing skills by providing you with the knowledge and tools to understand how different markets interact and how to strategically navigate sector performance. Whether you're an aspiring trader, a seasoned investor, or simply curious about the dynamics of financial markets, this course will equip you with valuable insights to make informed decisions.Why should you sign up for this course?The financial markets are complex and ever-changing, but with the right framework, you can gain an edge. Intermarket analysis and sector rotation provide a roadmap for understanding market trends and positioning yourself to capitalize on opportunities while managing risk effectively.What will you learn?Incorporating intermarket analysis and sector rotation into your trading strategy helps you stay informed, agile, and aligned with macroeconomic and market dynamics. These frameworks offer a powerful way to:Anti[beeep]te market trends.Maximize returns by focusing on outperforming sectors.Mitigate risks during economic or market downturns.By leveraging these strategies, you can make more confident, data-driven decisions and adapt effectively to the ever-changing financial markets.Join in, and equip yourself with the knowledge to thrive in the world of trading and investing!Let's unlock the potential of your portfolio and navigate markets with confidence! Who this course is for Everybody who wants to stay ahead of the developments in the financial markets Homepage: https://www.udemy.com/course/investing-trading-intermarket-analysis-sector-rotations/ Rapidgator https://rg.to/file/cb9535949f2f64de77f6ef148c041b15/imehs.Investing..Trading.Intermarket.Analysis..Sector.Rotations.part1.rar.html https://rg.to/file/eaf5404e741f2f93bf8a2cab13005ebb/imehs.Investing..Trading.Intermarket.Analysis..Sector.Rotations.part2.rar.html Fikper Free Download https://fikper.com/ylUKkVqGoH/imehs.Investing..Trading.Intermarket.Analysis..Sector.Rotations.part1.rar.html https://fikper.com/v8WYqDoHDd/imehs.Investing..Trading.Intermarket.Analysis..Sector.Rotations.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - NTT Master Technical Analysis Published: 3/2025 Created by: Ivory Sarpong MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 8 Lectures ( 13h 41m ) | Size: 6.5 GB Master technical analysis, charting, timeframes, and risk management to make informed trading decisions with confidence. What you'll learn Understand Key Trading Concepts - Learn essential trading terminology, market mechanics, and different asset classes to build a strong foundation. Analyze Market Trends - Use technical and fundamental analysis to identify trading opportunities and make informed decisions. Develop a Trading Strategy - Create and test a beginner-friendly trading plan, including risk management techniques to protect capital. Execute Trades with Confidence - Navigate trading platforms, place trades, and manage open positions effectively in live market conditions. Requirements There are no strict prerequisites for taking this course, making it ideal for beginners. However, to get the most out of the course, learners should have: Basic Computer Skills - Ability to navigate websites and use online tools. A Stable Internet Connection - Required for accessing course materials and using trading platforms. A Willingness to Learn - An open mindset and curiosity about financial markets. Optional: A Demo Trading Account - While not required, setting up a free demo account can help learners practice trading concepts in real time. Description This course provides a comprehensive introduction to the world of trading, equipping you with the essential tools, concepts, and strategies needed for success. With a strong focus on practical knowledge and real-world application, you'll begin by learning the fundamentals of charting-how to identify key support and resistance levels and recognize market imbalances that drive price action.Gain a deeper understanding of the forces shaping the market, including how big banks influence liquidity and price movements. Learn to analyze various timeframes, select the right one for your trading strategy, and adapt to both short-term and long-term trends for precise trade execution. Understanding these elements will improve decision-making and help you develop a structured trading plan.Additionally, you'll explore key candlestick patterns, such as the Doji, Bullish Engulfing, and Morning Star-critical indicators of potential trend reversals. These insights will help you capitalize on market shifts with greater confidence. The course also emphasizes risk management techniques, ensuring you learn to protect your capital while maximizing potential gains.By the end of this course, you'll have a solid foundation in technical analysis, enabling you to make informed trading decisions. Whether you're just starting or looking to refine your skills, this course sets the stage for advanced strategies and long-term success in the markets. Who this course is for Who is this course for? This course is designed for: Beginner Traders - Individuals with little to no experience in trading who want to build a solid foundation. Aspiring Investors - Those looking to understand market movements and start managing their own investments. Side Hustlers & Entrepreneurs - People interested in trading as an additional income stream. Students & Young Professionals - Anyone eager to learn about financial markets and trading to enhance their financial literacy. Who is this course not for? Advanced traders looking for complex strategies or high-frequency trading techniques. Individuals seeking get-rich-quick schemes-this course focuses on practical, sustainable trading skills. 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Free Download Udemy - Competitive Analysis With ChatGPT Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 5m | Size: 700 MB Learn how to use ChatGPT for competitor analysis, market research, SWOT insights, AI-driven strategic decision-making What you'll learn Use AI-powered tools to conduct competitive analysis. Gather and analyze competitor insights using ChatGPT. Perform industry benchmarking and SWOT analysis with AI. Develop AI-driven strategies for business positioning. Requirements No prior experience with AI or competitive analysis required. Basic understanding of business strategy is helpful but not necessary. Access to ChatGPT or similar AI tools recommended. Willingness to apply AI insights to real-world business cases. Description In today's fast-paced business world, staying ahead of the competition requires real-time insights, data-driven decision-making, and strategic market positioning. Traditional competitive analysis methods can be time-consuming and limited in scope, but with AI-powered tools like ChatGPT, businesses can automate research, analyze market trends, and generate actionable business strategies faster than ever before.This course is designed to help business professionals, marketers, strategists, and entrepreneurs leverage ChatGPT and AI-driven techniques to gain a competitive edge. Whether you are a business owner looking to analyze your competitors, a marketing expert refining positioning strategies, or a consultant guiding clients through market research, this course will equip you with the tools and techniques needed to conduct effective competitive analysis using AI.What You Will LearnUnderstand the fundamentals of competitive analysis and industry benchmarkingUse ChatGPT to gather market intelligence and track competitor strategiesAutomate data collection and SWOT analysis for faster insightsDevelop AI-driven business positioning strategies based on competitor insightsIdentify and analyze competitor strengths, weaknesses, opportunities, and threatsApply AI to enhance product development and marketing strategiesExplore additional AI tools beyond ChatGPT to refine competitive analysisMeasure and optimize the impact of AI-driven analysis on business strategyWho Should Take This CourseBusiness owners and entrepreneurs who want to analyze competitors and refine their market positionMarketing and strategy professionals looking to develop data-backed competitive strategiesConsultants and analysts seeking AI-driven insights to enhance client recommendationsProfessionals and learners interested in applying AI for market research and business decision-makingWhy Take This CourseAI-powered insights to replace guesswork with real-time, AI-driven analysisHands-on learning with practical exercises and case studiesBeginner-friendly approach with step-by-step guidanceActionable strategies to improve business positioning using AI-driven analysisBy the end of this course, you will be able to confidently use ChatGPT and AI tools to conduct competitor research, automate data collection, and make informed strategic business decisions.Enroll now and take your competitive analysis skills to the next level with AI. Who this course is for Business professionals and entrepreneurs looking to refine competitive strategies. Marketing and strategy teams interested in AI-driven market analysis. Analysts and consultants who want to enhance competitor research. Anyone interested in using AI for business decision-making. Homepage: https://www.udemy.com/course/competitive-analysis-with-chatgpt/ ] Rapidgator https://rg.to/file/c7f187879eba9ef4f448148fe3d82cf2/amtdj.Competitive.Analysis.With.ChatGPT.rar.html Fikper Free Download https://fikper.com/KECebzKk72/amtdj.Competitive.Analysis.With.ChatGPT.rar.html No Password - Links are Interchangeable

Free Download Master SQL for Data Analysis - From Beginner to Advanced Published: 3/2025 Created by: Neetu Bhushan MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 69 Lectures ( 5h 47m ) | Size: 1.83 GB Learn SQL from scratch for data analysis, BI, and data science. Write queries, optimize, and work with cloud databases! What you'll learn Master SQL for Data Analysis - Follow a structured, hands-on approach to transform raw data into meaningful insights. Solve Real-World Data Challenges - Work on practical, project-based problems that mimic real business scenarios. Write Powerful SQL Queries for Data Manipulation - Learn to extract, filter, aggregate, and transform complex datasets efficiently. Unlock the Power of Joins & Multi-Table Analysis - Master INNER, LEFT, RIGHT, FULL, SELF, and CROSS JOINs to combine data like a pro. Analyze Trends with Window Functions - Use RANK, LAG, LEAD, NTILE, and more to perform advanced data analysis. Optimize Performance for Big Data - Learn best practices for indexing, query tuning, and handling millions of records with ease. Master Subqueries & Common Table Expressions (CTEs) - Break down complex problems into manageable, efficient queries. Requirements This course is suitable for all learners and no knowledge required and who want to strengthen their skills and prepare for Data Analysis. Description Master SQL for Data Analysis: From Beginner to AdvancedThis course has been completely designed from the ground up to give you a comprehensive, hands-on learning experience in SQL for data analysis. Whether you're a beginner with no prior experience or someone looking to enhance your SQL and data analytics skills, this course will take you through everything from fundamental queries to advanced SQL techniques used by data analysts, data scientists, and business intelligence professionals.If you've ever wanted to extract meaningful insights from data, but felt overwhelmed by databases, this course is for you! We take a practical, step-by-step approach, ensuring that you don't just learn SQL-you master it.Why Learn SQL for Data Analysis?SQL is one of the most in-demand skills for data analysts, data scientists, and business intelligence professionals. Companies like Google, Netflix, Amazon, Airbnb, and Facebook use SQL to extract insights, analyze trends, and make data-driven decisions.This course focuses not just on writing queries, but also on real-world applications, including data visualization, performance tuning, and cloud-based SQL environments like Snowflake, BigQuery, and PostgreSQL.What You'll Learn:SQL Basics: Build a Strong FoundationUnderstand relational databases and how SQL works.Learn to write queries, retrieve data, and filter results.Use WHERE, ORDER BY, and LIMIT to refine your queries.Data Analysis with SQL: Aggregations & ReportingGroup and summarize data with GROUP BY and HAVING.Use aggregate functions like SUM, AVG, COUNT, MIN, and MAX to analyze datasets.Perform advanced filtering and sorting to extract meaningful insights.Mastering SQL Joins & SubqueriesLearn INNER, LEFT, RIGHT, and FULL OUTER JOINS to combine data from multiple tables.Work with subqueries and Common Table Expressions (CTEs) to break down complex queries.Advanced SQL Techniques: Analytics & Performance OptimizationMaster Window Functions like RANK, LEAD, LAG, NTILE, and DENSE_RANK for time-series and ranking analysis.Use CASE statements, COALESCE, and NULL handling for data transformation.Optimize queries with indexes, query execution plans, and performance tuning.Python + SQL: The Best of Both WorldsLearn how to connect SQL with Python's Pandas library for data manipulation.Extract, clean, and visualize SQL data using Python and Pandas.Build automated reporting pipelines with Python and SQL.Real-World Projects & Hands-On LearningThis course is packed with hands-on exercises, coding challenges, and real-world projects that will reinforce your learning. You will apply your SQL skills to:By the end of this course, you'll have a portfolio of SQL projects to showcase your expertise!Who is This Course For? spiring Data Analysts & Data Scientists looking for hands-on SQL experience. Business & Marketing Professionals who want to analyze and visualize company data. Python Users who want to integrate SQL with Pandas for data analysis. Developers & Engineers who want to write better, optimized SQL queries. Anyone who wants to master SQL for real-world data analysis!What Makes This Course Different? Engaging & Hands-On - This isn't just another theory-based course! You'll write SQL queries within minutes and work on real-world projects. Project-Based Learning - Apply what you learn immediately with practical exercises and data analysis case studies. Clear & Structured Approach - No fluff, just step-by-step guidance from SQL basics to advanced analytics. 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Free Download Market Research & Competitive Analysis Executive Certificate Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 713.30 MB | Duration: 0h 50m Identifying Market Gaps, Understanding Customer Pain Points, and Developing a Strategic Edge in Digital Marketing What you'll learn Understanding Market Pains & Strategic Positioning Deep Customer Research & Market Sophistication Digital Tools for Market Validation & Customer Profiling Market Research Mistakes & Strategic Pivots Requirements For a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning. Description Welcome to Program: Executive Certification in Market Research & Competitive Analysis by MTF InstituteCourse OverviewIn dynamic digital landscape, market research is the foundation of every successful business strategy. This Executive Certification in Market Research & Competitive Analysis provides professionals, entrepreneurs, and marketers with a practical, data-driven approach to identifying market pain points, analyzing competition, and validating profitable opportunities.Through real-world case studies, industry-proven research methodologies, and expert insights, parti[beeep]nts will develop a structured process for uncovering unmet customer needs, positioning products effectively, and gaining a competitive advantage in digital markets.Key Learning OutcomesUpon completion of this course, parti[beeep]nts will be able to:Conduct comprehensive market pain analysis to identify underserved customer needsUtilize competitor research frameworks to extract valuable insights without imitation risksApply psychological and strategic principles to target high-potential market segmentsLeverage digital tools and data sources for cost-effective market validationDevelop a customer-centric approach to digital marketing for long-term business successCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 216 countries and has been chosen by more than 720 000 students.Course Author:Yevgeni Zolotorevsky is a seasoned digital marketing strategist, business consultant, and educator with over 15 years of expertise in applied psychology, marketing, and sales funnel optimization. His work in B2B and B2C digital marketing has led to the creation of high-performance funnels that have generated over 1 million clients worldwide. As an educator, he has personally trained over 200,000 professionals in strategic marketing, consumer behavior, and business growth through various international courses and programs. His approach combines data-driven decision-making with psychological insights, ensuring practical and scalable marketing strategies that drive real-world business success.Market research and competitive analysis are two interconnected processes that are vital for businesses to thrive. Market Research: involves gathering, analyzing, and interpreting information about a market, including customers, competitors, and industry trends. It aims to understand customer needs, preferences, and behaviors, as well as the overall market landscape.Purpose:To identify market opportunities and potential threats.To understand customer needs and preferences.To assess the viability of new products or services.To inform marketing and sales strategies.Competitive Analysis: focuses on identifying and evaluating competitors to understand their strengths, weaknesses, strategies, and market positioning. It involves analyzing competitors' products, services, pricing, marketing, and overall business operations.Purpose:To identify competitive advantages and disadvantages.To understand competitors' strategies and tactics.To identify opportunities to differentiate products or services.To inform strategic decision-making.Importance for Companies:Informed Decision-Making:These processes provide data-driven insights that enable companies to make informed decisions about product development, marketing, pricing, and overall business strategy.Reduced Risk:By understanding the market and competitive landscape, companies can minimize risks and avoid costly mistakes.Competitive Advantage:These analyses help companies identify opportunities to differentiate themselves and gain a competitive edge.Customer Focus:Market research helps companies understand customer needs and preferences, enabling them to develop products and services that meet those needs.Strategic Planning:These processes are vital for creating effective strategic plans, and adapting to changing market conditions.Importance for Managers and Experts:Career Advancement:Strong market research and competitive analysis skills are highly valued by employers.These skills demonstrate a strategic mindset and the ability to make data-driven decisions.Enhanced Expertise:Developing these skills allows managers and experts to gain a deeper understanding of their industry and market.Improved Performance:By understanding market trends and competitive dynamics, managers and experts can improve their performance and contribute to the success of their organizations.Leadership Capabilities:The ability to analyze markets and competition is a vital component of strong leadership.Adaptability:The business world is constantly changing. 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Free Download Udemy - End-to-End Data Analysis Projects with Microsoft Excel Published: 3/2025 Created by: Adeiza Awesome Emmanuel MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 45 Lectures ( 15h 49m ) | Size: 8.8 GB Data Analysis Internship with Microsoft Excel What you'll learn Data Collection & Importing - Gather and import raw data from multiple sources. Data Cleaning & Preparation - Use Excel tools to clean and structure data for analysis. Data Transformation - Apply formulas, Power Query, and other techniques for manipulation. Exploratory Data Analysis (EDA) - Identify trends, patterns, and anomalies in data. Data Visualization - Create professional charts, graphs, and dashboards. PivotTables & PivotCharts - Summarize and analyze large datasets efficiently. Statistical Analysis - Apply descriptive and inferential statistics for decision-making. Business Insights & Reporting - Translate data findings into actionable insights. Real-World Projects - Work on end-to-end case studies from various industries. Data-Driven Decision-Making - Use insights to drive strategic business solutions. Requirements Basic Knowledge of Microsoft Excel - Familiarity with Excel's interface and basic functions. Understanding of Data Concepts - Some exposure to data analysis or business intelligence is helpful but not required. Computer with Microsoft Excel Installed - Preferably Excel 2016 or later (Office 365 recommended). Analytical Mindset - Willingness to explore data, identify patterns, and derive insights. Eagerness to Learn - A passion for solving real-world problems with data-driven approaches. Description Course Description:Unlock the full power of Microsoft Excel and master the end-to-end data analysis process with real-world projects. This course is designed to take you through the complete lifecycle of a data analysis project, from data collection and cleaning to visualization and interpretation, helping you turn raw data into actionable insights.In today's data-driven world, businesses rely on Excel for critical decision-making. Whether you're a beginner or an experienced professional, this course will equip you with the skills to analyze, visualize, and present data effectively. You will work on practical projects that mirror industry scenarios, helping you build the confidence to apply your knowledge in real-world situations.What You'll Learn:Data Cleaning & Preparation - Remove duplicates, handle missing data, and structure datasets efficientlyData Exploration & Analysis - Apply Excel functions, PivotTables, and Power Query for deep insightsAdvanced Excel Functions - Use LOOKUPs, INDEX-MATCH, IF formulas, and statistical toolsData Visualization - Create interactive dashboards and reports using charts and graphsTrend Analysis & Forecasting - Identify patterns and make predictions based on dataAutomating Workflows - Use Power Query to simplify and streamline data analysisWho Should Take This Course?Aspiring Data Analysts looking to build real-world projectsBusiness Professionals who want to improve their Excel analytics skillsStudents & Researchers needing hands-on data analysis experienceEntrepreneurs & Decision-makers looking to make data-driven decisionsBy the end of this course, you will be able to confidently analyze, interpret, and present data using Microsoft Excel-an essential skill for professionals across industries.Enroll now and start your journey into data analysis with Excel. Who this course is for Beginners in Data Analysis - Anyone looking to start a career in data analysis using Microsoft Excel. Business Professionals - Managers, analysts, and decision-makers who need to analyze data for strategic insights. Students & Graduates - Individuals looking to build practical data analysis skills for academic or career growth. Entrepreneurs & Small Business Owners - Those who want to leverage data for better business decisions. Freelancers & Consultants - Professionals looking to enhance their Excel-based data analysis expertise. Anyone Interested in Data-Driven Decision Making - No prior data analysis experience required! 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Free Download Ratio Analysis & Interpretation of Financial Statements Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 27m | Size: 3 GB Analyze Business Performance with Profitability, Liquidity, Gearing, Working Capital and Investor Ratios What you'll learn Understand the key financial ratios and their significance in business decision-making. Learn how to calculate and interpret profitability, liquidity, gearing, working capital, and investor ratios. Gain insights into real-world financial statement analysis and industry comparisons. Master exam techniques to analyze financial ratios in ACCA, CA, and CPA exams. Identify the limitations of ratio analysis and how to avoid misinterpretations. Develop the ability to comment on and discuss financial ratios in professional settings. Requirements Basic understanding of accounting principles (e.g., debits, credits, and financial statements). Familiarity with financial statements such as Balance Sheet and Income Statement. No advanced knowledge required-this course covers everything step by step! Description Unlock the Power of Financial Ratios for Better Decision-Making!Ratio analysis is an essential skill for accountants, finance professionals, investors, and students preparing for financial exams. It helps assess a company's profitability, liquidity, financial stability, and overall performance by analyzing key financial ratios. But simply calculating ratios isn't enough-you also need to interpret them effectively to make informed business decisions.This comprehensive course is designed to take you from the basics of ratio analysis to advanced interpretation techniques. You will learn:Profitability Ratios - How well a company generates profits from its operations.Liquidity Ratios - A company's ability to meet short-term financial obligations.Gearing Ratios - Understanding financial risk and debt dependency.Working Capital Ratios - How efficiently a company manages its day-to-day finances.Investor Ratios - Key metrics used by investors to evaluate a company's financial health.Limitations of Ratio Analysis - Avoiding common pitfalls and misinterpretations.We will break down real-world financial statements and show you how to apply these ratios practically. Whether you're preparing for ACCA, CA, CPA, CFA, or simply looking to sharpen your financial analysis skills, this course provides step-by-step explanations, formula breakdowns, case studies, and exam techniques.By the end of this course, you will be able to confidently interpret financial ratios, provide meaningful insights, and make sound financial decisions.Enroll now and take your financial analysis skills to the next level! Who this course is for ACCA, CA, CPA, CFA, and finance students preparing for financial exams. Accountants and auditors looking to enhance financial analysis skills. Finance professionals and analysts evaluating business performance. Investors and business owners who want to understand financial ratios for decision-making. Anyone interested in learning financial statement analysis! Homepage: https://www.udemy.com/course/ratio-analysis-interpretation-of-financial-statements/ Rapidgator https://rg.to/file/9ae5425c86b920e6125bdd8d4ae02855/vmqmr.Ratio.Analysis..Interpretation.of.Financial.Statements.part1.rar.html https://rg.to/file/f02f1206496b44c217abbf80cee27bc5/vmqmr.Ratio.Analysis..Interpretation.of.Financial.Statements.part2.rar.html https://rg.to/file/b5446001e01cd3a92496df1ed763c755/vmqmr.Ratio.Analysis..Interpretation.of.Financial.Statements.part3.rar.html https://rg.to/file/76085f21f3c3deeadae612656c04fb1e/vmqmr.Ratio.Analysis..Interpretation.of.Financial.Statements.part4.rar.html Fikper Free Download https://fikper.com/9FGbfefZEk/vmqmr.Ratio.Analysis..Interpretation.of.Financial.Statements.part1.rar.html https://fikper.com/PASWbuHTz9/vmqmr.Ratio.Analysis..Interpretation.of.Financial.Statements.part2.rar.html https://fikper.com/xt6zSoizca/vmqmr.Ratio.Analysis..Interpretation.of.Financial.Statements.part3.rar.html https://fikper.com/v4MQCF3z5n/vmqmr.Ratio.Analysis..Interpretation.of.Financial.Statements.part4.rar.html No Password - Links are Interchangeable

Free Download Specialized Security Analysis - Threat Confirmation and Escalation Released 2/2025 By Owen Dubiel MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h | Size: 165 MB Learn the essentials of threat confirmation and escalation to strengthen your organization's incident response capabilities. Threat analysis and escalation play a critical role in maintaining organizational security. In this course, Specialized Security Analysis: Threat Confirmation and Escalation, you'll learn to identify, assess, and escalate threats effectively. First, you'll explore foundational concepts like indicators of compromise (IOCs) and indicators of attack (IOAs). Next, you'll discover how to differentiate false positives from legitimate threats using baselining and contextual analysis. Finally, you'll learn to document and communicate findings effectively for escalation. By the end of this course, you'll possess the skills to confidently manage security threats and escalate incidents appropriately. Homepage: https://www.pluralsight.com/courses/specialized-sec-analysis-threat-confirm-esc TakeFile https://takefile.link/8zlkph7ym9td/iiqxc.Pluralsight..Specialized.Security.Analysis..Threat.Confirmation.and.Escalation.rar.html Rapidgator https://rg.to/file/672d7eca4313230e9c61883a479fea42/iiqxc.Pluralsight..Specialized.Security.Analysis..Threat.Confirmation.and.Escalation.rar.html Fikper Free Download https://fikper.com/NHpsCnjKKk/iiqxc.Pluralsight..Specialized.Security.Analysis..Threat.Confirmation.and.Escalation.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Elevating the Value of Variance Analysis Published: 3/2025 Created by: Blair Cook CPA MBA MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 15 Lectures ( 3h 4m ) | Size: 1.2 GB Facilitating better conversations about performance management What you'll learn Adopt an audience-centric mindset when preparing and presenting variance analysis •Apply best practices to variance analysis to elevate clarity and concision Incorporate a visual sense to variances using charts, graphs, and images Structure the analysis to facilitate a conversation about the actions management should take to address variances Requirements Financial or accounting understanding Description One of the most common criticisms of non-finance managers, executives, and directors is that they have difficulty understanding financial performance of their own organization. Often variance analysis is overwhelming, confusing, lacking in precision, begging more questions than it answers with superficial explanations. In this course, you will take a deep dive into how you can do variance analysis better. In the process, you will add significant value to management decision making. Variance analysis is about facilitating an active conversation among decision makers about the performance of the business. Success is achieved when issues are identified, understood, discussed and actions committed.Using an audience centric view, you will learn best practices using examples and case studies to improve traditional variance analysis using numbers and descriptive explanations. You will also learn to make variance analysis more visual through charts, graphs and images. Finally, you will explore different structures that help facilitate a conversation about organizational performance using structuring and organized drill downs of various components of the business. This impactful course is relevant to any financial professional involved in the preparation, reporting, review, or presentation of variance analysis. Honing this skill elevates your own executive presence and the level of influence and persuasiveness inside your organization. Who this course is for Financial professionals responsible for reporting results Homepage: https://www.udemy.com/course/variance-analysis/ Rapidgator https://rg.to/file/2ef545a4f8fd5a118c5db4f230682194/zpdcx.Elevating.the.Value.of.Variance.Analysis.part1.rar.html https://rg.to/file/c2e622ad91b1a5234b7c9961c1d3dfbe/zpdcx.Elevating.the.Value.of.Variance.Analysis.part2.rar.html Fikper Free Download https://fikper.com/whPJhkAIQK/zpdcx.Elevating.the.Value.of.Variance.Analysis.part1.rar.html https://fikper.com/HCQtfiCIMM/zpdcx.Elevating.the.Value.of.Variance.Analysis.part2.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Practical Data Analysis with SPSS Published: 3/2025 Created by: Habibur Rahman MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 81 Lectures ( 9h 3m ) | Size: 3.38 GB Quickly get started with data analysis using SPSS for theses, dissertations, lab reports, research projects, and more. What you'll learn Understand the Basic Statistical Concepts Use SPSS to Enter, Manipulate and Clean a Dataset Analyze Survey and Experimental Data Answer Research Questions Using Appropriate Statistical Analyses Present Results in APA Style Requirements Access to SPSS software Description Data analysis is an integral part of academic research. It is important to ensure that you are conducting the right analysis in the right way. However, as a beginner, it can feel overwhelming to know where to start or how to conduct an analysis and present the findings.This course is designed to equip you with essential data analysis skills so that you can carry out analysis independently. If you are taking a statistics course, this will serve as a supplement to your class, helping you complete homework and assignments with ease. For those working on a thesis, dissertation, or research project, the course will walk you through the entire analytical process-from data cleaning to reporting results-helping you produce high-quality, reliable, and valid findings.What you will learn:Statistics is a vast field with countless analyses and methods. However, this course focuses on the analyses you're most likely to need in your academic work. I've carefully selected techniques that undergraduate students, graduate students, and researchers commonly use.The course begins with basic statistical concepts to help you better understand the subsequent materials. You'll then learn how to work with SPSS, including data management and manipulation techniques. As you progress, you'll move into preliminary analysis before exploring three core areas of statistical testing:Exploring Relationships - Learn techniques like correlation and regression to understand the relationships between variables.Comparing Groups - Explore methods such as ANOVA and t-tests to investigate differences between groups or conditions.Non-Parametric Tests - Learn how to analyze data that doesn't meet the assumptions required for parametric analysis.Some Features of the Course:Coverage of the most commonly used analysesClearly organized sections on different topicsGuidance on selecting appropriate statistical testsConcepts explained in simple, easy-to-understand languagePractical demonstrations with realistic datasets and scenariosGuidance on presenting results in APA Style (templates included)Recommendations for additional resources for further learningBy the end of this course, you'll have a solid understanding of data analysis and feel more confident in handling your research project. Start learning today and see how straightforward it can be! Who this course is for Graduate and PhD students who need to analyze data for theses, dissertations, or research projects Existing or aspiring researchers working on, or planning to work on, academic research projects University students seeking help to successfully complete data analysis homework, assignments, and lab reports Industry professionals who need to improve data analysis skills for work Homepage: https://www.udemy.com/course/practical-data-analysis-with-spss/ DOWNLOAD NOW: Udemy - Practical Data Analysis with SPSS Rapidgator https://rg.to/file/bc137add50253ae5fe7d5fce7ab6720a/yynmt.Practical.Data.Analysis.with.SPSS.part1.rar.html https://rg.to/file/043ea7eabcb842e03c55fc2df412869d/yynmt.Practical.Data.Analysis.with.SPSS.part2.rar.html https://rg.to/file/d56b50fd43365700a729dce40131a221/yynmt.Practical.Data.Analysis.with.SPSS.part3.rar.html https://rg.to/file/3aed178ea087937d6d21a46a7236f414/yynmt.Practical.Data.Analysis.with.SPSS.part4.rar.html Fikper Free Download https://fikper.com/jHUcWqeWca/yynmt.Practical.Data.Analysis.with.SPSS.part1.rar.html https://fikper.com/4ukXxoeyKb/yynmt.Practical.Data.Analysis.with.SPSS.part2.rar.html https://fikper.com/PrEDcZjd5x/yynmt.Practical.Data.Analysis.with.SPSS.part3.rar.html https://fikper.com/FmhEhTEFKD/yynmt.Practical.Data.Analysis.with.SPSS.part4.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Analysis of Beams (2025) Published: 3/2025 Created by: Durga Rao Miriyala MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 50 Lectures ( 4h 23m ) | Size: 1.14 GB Strength of Materials, Beams, Shear Force, Bending Moment, Shear Stress, Bending Stress, Slope, Deflection What you'll learn Understand the Types of Beams, Supports & Loadings Calculate and Plot the Axial Force, Shear Force & Bending Moment for various cross-sections along a beam's length Calculate the maximum induced Bending Stress in a beam to check whether it is below the material's permissible normal stress limits Calculate the maximum induced Shear Stress in a beam to check whether it is below the material's permissible shear stress limits Find the Slope and Deflection equations for any cross section along a beam's length, and check that the maximum deflection is less than the permissible limits Requirements Basic Integral and Differential Calculus Engineering Statics (Mechanics) Description This course on Analysis of Beams, consisting of 50 lecture videos and spanning about 4 hours and 24 minutes in total, is designed for learners with little knowledge of Statics, and is aimed at a beginner to an intermediate level of understanding.Beams cover a vast portion of the basic Strength / Mechanics of Materials course, and is a prerequisite to many advanced subjects of undergraduate studies. The core principles of Beams, and Strength of Materials in general, apply to many disciplines viz., Mech E, Prod or Mfg E, Civil E, Aeronautical E, and Architectural Engineering, to name a few.In this course, you shall first learn how to calculate the internal resisting forces and moments developed within any cross-section along the beam's length, in response to the applied loads and applied moments; and then plot the corresponding values in the form of diagrams. From this, you shall be able to calculate the maximum bending and shear stresses induced that may be responsible for failure, if the permissible stress limits of the beam material are exceeded. Failure may also happen due to excessive deformations, hence you shall also learn how to calculate the slopes and transverse deformations (called deflections).The information obtained through the bending and shear stresses, and slopes and deflections, is useful for the design and analysis of structures, ensuring safety and stability.A number of examples shall be solved for various beam types and loadings, starting with the most basic to reasonably complex ones. To make the subject simple to understand, the course does not delve much into the rigorous derivation aspects of underlying formulas, but more attention shall be given for the actual usage of the formulas in solving a given problem instead.A small but sufficient number of practice examples shall be listed at the end of every core topic. While it is advised to take notes during the lectures, yet, apart from the lecture videos, electronic documents of the whiteboard material used shall also be appended for ready reference. Who this course is for "Analysis of Beams" is a major part of the "Strength / Mechanics of Materials" course, and is aimed at the undergraduate students of mechanical / civil / production / manufacturing / aeronautical / architectural engineering students. The level of understanding is beginner to intermediate. Homepage: https://www.udemy.com/course/analysis-of-beams/ DOWNLOAD NOW: Udemy - Analysis of Beams (2025) Rapidgator https://rg.to/file/770165cf29e0f267a893dc8e67151322/oiuql.Analysis.of.Beams.2025.part1.rar.html https://rg.to/file/958bd42c1932849bb4b64d9234c5e3c2/oiuql.Analysis.of.Beams.2025.part2.rar.html Fikper Free Download https://fikper.com/BO7LAqdZz0/oiuql.Analysis.of.Beams.2025.part1.rar.html https://fikper.com/fC2FQW3fBV/oiuql.Analysis.of.Beams.2025.part2.rar.html : No Password - Links are Interchangeable

Free Download Stock Trading Mastery - Analysis & Algorithmic Coding Published: 2/2025 Created by: George S Junior MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 59 Lectures ( 8h 38m ) | Size: 3.66 GB From Market Analysis to Algorithmic Execution - A Complete Guide What you'll learn Students will Learn Fundamental Analysis, master the evaluation of financial statements, economic indicators, and market trends to access a stock's true value Students will gain understanding of Technical Analysis, learn chart interpretation, indicators, and patterns to identify profitable trading opportunities. Students will learn algorithmic trading to automate trading strategies using Python to enhance decision making and trade efficiency. Students will be equipped with the skills to analyze markets effectively and implement algorithmic strategies to optimize their trading performance. Requirements No prior knowledge required; the course will guide students step-by-step from the basics of financial markets to advanced algorithmic trading concepts. Description Stock Trading Mastery: Analysis & Algorithmic Coding.Master Technical & Fundamental Analysis with Python Automation.Are you ready to take your trading skills to the next level? Whether you're a beginner or an experienced trader, this course will provide you with a complete roadmap to mastering financial markets-combining technical analysis, fundamental analysis, and algorithmic trading with Python.What You'll Learn:Technical Analysis Mastery - Learn price action strategies, chart patterns, indicators, and volume analysis to make data-driven trading decisions.Fundamental Analysis Demystified - Evaluate stock valuation, macroeconomic indicators, financial statements, and company performance to identify market opportunities.Algorithmic Trading in Python - Automate trading strategies, build indicators, backtest strategies, and optimize your trading execution.Stock, Forex, and Crypto Strategies - Gain insights into multi-market trading with proven strategies that work across different asset classes.Risk Management & Trade Execution - Minimize risks and maximize profits with advanced money management techniques.Why Take This Course?Comprehensive & Practical - Covers both traditional and algorithmic trading for real-world applications.Hands-On Python Coding - Step-by-step coding tutorials for automated trading, indicators, and strategy backtesting.Data-Driven Approach - Learn how to leverage financial data, economic reports, and market trends to gain an edge.Full Lifetime Access - Learn at your own pace with downloadable resources and Python scripts.Who Is This Course For?Traders who want to improve their trading edgeInvestors looking to understand market analysis and automationPython programmers interested in financial market applicationsAnyone who wants to learn how to analyze, automate, and optimize trading strategiesBy the end of this course, you will have the skills to confidently analyze markets, create your own trading strategies, and automate them using Python.Enroll now and start your journey to trading mastery! Who this course is for Individuals with little to no enxperience who want to understand how financial markets work and build a strong foundation in trading strategies. Traders interested in automating their strategies using python to enhance decision-making and efficiency. Traders who want to enhance their manual trading techniques with algorithmic automationm. Those looking to back test strategies, optimize their trades, and gain insights through data-driven analysis. Homepage: https://www.udemy.com/course/stock-trading-mastery-analysis-algorithmic-coding/ DOWNLOAD NOW: Stock Trading Mastery - Analysis & Algorithmic Coding Rapidgator https://rg.to/file/3c37a7532cb0252c909aed31e452ba63/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part1.rar.html https://rg.to/file/5fcb60fb4c7d16ba9fc85b1a103a9699/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part2.rar.html https://rg.to/file/60e00bcfd3da0d4cb0db05e68800599d/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part3.rar.html https://rg.to/file/4da07edb75c0bddfee095db5c188e669/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part4.rar.html Fikper Free Download https://fikper.com/Due154NCOL/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part1.rar.html https://fikper.com/6RUiS4EYEq/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part2.rar.html https://fikper.com/rmGDLZoghM/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part3.rar.html https://fikper.com/ama2fooWeL/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part4.rar.html : No Password - Links are Interchangeable

Free Download Data Analysis for Market Research with Excel & Tableau Published: 3/2025 Created by: Christ Raharja MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 21 Lectures ( 2h 7m ) | Size: 1.23 GB Conduct market segmentation analysis, market trend analysis, and competitor pricing analysis with Excel and Tableau What you'll learn Learn basic fundamentals of market research, such as getting to know its use cases and the difference between quantitative and qualitative market research Learn how to conduct market research for cosmetic product in Excel Learn how to visualize data using bar chart, pie chart, scatter plot in Excel Learn how to conduct market research for restaurant using Tableau Learn how to segment customer data by demographics, such as gender and skin type Learn how to conduct price range analysis Learn how to analyze market share Learn how to find correlation between price and product rating Learn how to segment market by product ingredients Learn how to analyze customer preferences regarding product size and packaging type Learn how to analyze competitors pricing strategies based on restaurant type Learn how to conduct price positioning analysis based on cuisine type Learn how to conduct location based pricing analysis Learn how to analyze the relationship between restaurant facility and pricing Learn how to analyze the relationship between food prices and ratings Learn how to clean dataset by removing missing values and duplicates Learn how to analyze and visualize market research data using Julius AI Requirements No previous experience in market research is required Basic knowledge in statistics Description Welcome to Data Analysis for Market Research with Excel & Tableau course. This is a comprehensive project based course where you will learn how to analyze market trends, segment customer data, evaluate competitor strategies, and visualize data using Microsoft Excel and Tableau. This course is a perfect combination between statistics and business intelligence, making it an ideal opportunity to practice your analytical skills while improving your technical knowledge in market research methodologies. In the introduction session, you will learn the basic fundamentals of market research, such as getting to know its use cases, step by step process, and also learn the difference between quantitative and qualitative market research. Then, in the next section, we will find and download market research dataset from Kaggle, it is a platform that provides a wide range of datasets from various industries. Afterward, we will set up browser based Microsoft Excel, enabling us to have the necessary tools to perform data analysis and visualization effectively. We will go through the basic functionalities like sorting, filtering, conditional formatting, and pivot tables to organize and summarize data efficiently. Following that, we will clean the market research data, specifically we will remove missing values and duplicates, making sure the dataset is accurate and ready for analysis. Then, after that, we will conduct exploratory data analysis to identify patterns, trends, and key insights within the dataset. This will help us better understand the structure of the data and gain a clear Overview of its composition and relationships between variables. Then, in the next section, we will conduct extensive market research for cosmetic products using Microsoft Excel. In the first section, we will segment customer data by skin type. This will enable us to identify which skin concerns are most addressed by brands and optimize product offerings based on demand. Next, we will analyze the price range by category. This will allow us to assess pricing strategies, identify affordability trends, and find gaps in premium or budget-friendly markets. Following that, we will analyze market share. This will enable us to determine industry leaders, track emerging competitors, and uncover opportunities for new product launches. Then, in the next section, we will find the correlation between price and customer reviews. This will enable us to assess whether higher-priced products receive better ratings and guide pricing and marketing decisions. Next, we will analyze ingredient-based segmentation. This will assist us to identify trending ingredients, consumer preferences, and how brands differentiate their formulations. In the next section, we will then segment products by gender. This will enable us to understand market demand for male and females. After that, we will conduct a product size preference analysis. This helps determine which product sizes are most favored by consumers, allowing brands to optimize packaging and distribution strategies. In the last section, we will also segment products by packaging type. This will enable us to identify packaging trends, sustainability preferences, and functional design choices that influence purchases. Then, in the next section, we will conduct market research for restaurants using Tableau. In the first section, we will analyze restaurant type pricing strategies to understand how different restaurant types position their prices. Next, we will examine cuisine type and price positioning to identify which cuisines are premium or budget-friendly. Following that, we will conduct a location-based competitor pricing analysis to compare restaurant prices across different areas. Then, we will assess the impact of online ordering on ratings and pricing to determine if it influences customer perception and pricing strategies. In addition, we will find correlation between price and rating to see if higher-rated restaurants tend to have higher prices. Lastly, at the end of the course, we will also learn to analyze data using AI, where you can input any data and let AI automatically extract valuable insights from the data.First of all, before getting into the course, we need to ask ourselves these questions: why should we learn about market research? Well, here is my answer, market research helps businesses understand customer preferences, optimize pricing strategies, and stay ahead of competitors. By analyzing trends and consumer behavior, companies can make data driven decisions, reduce risks, and maximize profitability.Below are things that you can expect to learn from this course:Learn basic fundamentals of market research, such as getting to know its use cases, the difference between quantitative and qualitative research, and understand market research step by step processLearn how to clean dataset by removing missing values and duplicatesLearn how to conduct market research for cosmetic product in ExcelLearn how to visualize data using bar chart, pie chart, scatter plot in ExcelLearn how to segment customer data by demographics, such as gender and skin typeLearn how to conduct price range analysisLearn how to analyze market shareLearn how to find correlation between price and product ratingLearn how to segment market by product ingredientsLearn how to analyze customer preferences regarding product size and packaging typeLearn how to conduct market research for restaurant using TableauLearn how to analyze competitors pricing strategies based on restaurant typeLearn how to conduct price positioning analysis based on cuisines typeLearn how to conduct location based pricing analysisLearn how to analyze the relationship between restaurant facility and pricingLearn how to analyze the relationship between food prices and ratingsLearn how to analyze and visualize market research data using Julius AI Who this course is for Data analysts who are interested in analyzing and visualizing market research data using Microsoft Excel and Tableau Business consultants who are interested in transforming market research data into valuable business insights Homepage: https://www.udemy.com/course/data-analysis-for-market-research-with-excel-tableau/ DOWNLOAD NOW: Data Analysis for Market Research with Excel & Tableau Rapidgator https://rg.to/file/2b2078fa36220aea60c983e47d54489c/qpwyh.Data.Analysis.for.Market.Research.with.Excel..Tableau.part1.rar.html https://rg.to/file/850d40daa273ed5e7c2da3bce223e44f/qpwyh.Data.Analysis.for.Market.Research.with.Excel..Tableau.part2.rar.html Fikper Free Download https://fikper.com/z1iDzYqZt3/qpwyh.Data.Analysis.for.Market.Research.with.Excel..Tableau.part1.rar.html https://fikper.com/TfJ0wXAPCY/qpwyh.Data.Analysis.for.Market.Research.with.Excel..Tableau.part2.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Excellence In Management Case Analysis Published: 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 6.00 GB | Duration: 5h 6m Learn best about Business, Marketing, Customer Value Creation and Operations Strategies by analyzing best cases What you'll learn What is learning management through case studies? How is learning through case studies better? How can you best use these case studies to learn marketing best? Best Case Studies you to learn from Nike, Disney, Google and Aravind Requirements 5 plus hours of time to learn Description Bored and tired of learning management through traditional methods like textbooks, class room lectures and theoretical exercises? Want to learn about management by critical analyzing best cases in business, marketing, customer value creation and operations and get to the top of the world?Take a look at this course where you willNot only focus on actual business scenarios, making learning more practical and directly applicable to real-life challenges but alsoActively engage by analyzing problems, debating solutions, and making decisions, fostering deeper understanding andDevelop critical thinking by presenting complex, open-ended problems requiring analysis, strategy formulation, and decision-makingPreview many lectures for free to see the content for yourselfClear your doubts on this topic any time while doing the courseGet Udemy's 30 days Money Back GuaranteeMy first exposure to learning management started in 1979 with my MBA studies at Indian Institute of Management, Bangalore. While I enjoyed learning management through case studies much more than reading the textbooks, I now realised that no one ever told me to how to use those studies best to learn best!Since then I have been continuously learning by interacting with learning professional on how to make best use of case studies to not only develop a real world understanding of management concepts but also learn which concept to apply where and where NOT.Over period of time I have also figured out how to use these case studies to improve your critical thinking skills and make decisions that would pave the way for you to get to top of world an stay thereI bring in this course my learnings from this journey and share with you how to learn from the best of the case studies in life and get to top of the worldPreview for yourself many lectures free. If you like the content, enrol for the course, enjoy and skill yourself for Excellence in Management Case Analysis! 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Free Download Pluralsight - Introduction to Statistical Analysis for Data Analysts Released 2/2025 By Joan Bajorek MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 31m 4s | Size: 121 MB Unlock the power of statistics for data analysts. You'll explore a business hypothesis and analyze a dataset via a statistical analysis. You'll see the analysis, variables, limitations, results, and opportunities for informed business decisions. Navigating the complexities of statistical analysis on real business data can be challenging for data analysts. In this course, Introduction to Statistical Analysis for Data Analysts, you'll gain the ability to use statistical methods to analyze data and make informed business decisions. First, you'll explore the fundamentals of statistical analysis, including key concepts such as population, sample, variable, and dataset. Next, you'll discover how to differentiate between categorical and numerical data, and learn essential statistical methods like descriptive and inferential statistics. Finally, you'll apply your knowledge to real-world data analysis using RStudio, where you'll test hypotheses, create visualizations, and effectively communicate your findings. When you're finished with this course, you'll have the skills and knowledge of statistical analysis needed to analyze data and influence business decisions, all while communicating your results clearly to both technical and non-technical stakeholders. Homepage: https://www.pluralsight.com/courses/introduction-statistical-analysis-data-analysts TakeFile https://takefile.link/ubr62m8r86ux/jtnxv.Pluralsight..Introduction.to.Statistical.Analysis.for.Data.Analysts.rar.html Fileaxa https://fileaxa.com/wk7g7z3a9xpv/jtnxv.Pluralsight..Introduction.to.Statistical.Analysis.for.Data.Analysts.rar Rapidgator https://rg.to/file/262d5fac42221fac22c55839d53135d8/jtnxv.Pluralsight..Introduction.to.Statistical.Analysis.for.Data.Analysts.rar.html Fikper Free Download https://fikper.com/61cnCZYhx3/jtnxv.Pluralsight..Introduction.to.Statistical.Analysis.for.Data.Analysts.rar.html : No Password - Links are Interchangeable

epub | 7.34 MB | English| Isbn:9781504044967 | Author: Worth Books | Year: 2017 Description: Category:Current Affairs & Politics, Political Activism & Parti[beeep]tion, Political Activism & Social Action Rapidgator links are free direct download only for my subscriber, other hosts are free download for free users https://fikper.com/VpFczDJ3SD/ https://rapidgator.net/file/13756417b8c159983ba84c52d65c6942/ https://turbobit.net/v0gsnm0f2h38.html

Free Download Mastering Performance Analysis with perf Published 10/2024 Created by Jackie Dinh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 46 Lectures ( 6h 18m ) | Size: 2.2 GB Deep Dive into Linux Performance Profiling and Analysis What you'll learn Understand the basics of perf - the official Linux performance tool Learn microarchitectural performance analysis Profile system and application performance Create custom performance analyses Requirements Familiar with Linux operating systems No performance engineering experience needed Description Start with the fundamentals of performance analysis using perf stat, where you'll learn how to monitor key performance metrics like CPU utilization, cache performance, and context switches. These are essential to a high-level understanding of your application and system performance.From there, you'll advance to Top-Down Microarchitecture Analysis (TMA), a method that helps you drill down into CPU inefficiencies by categorizing execution into retiring, bad speculation, backend bound, and frontend bound. This approach will allow you to precisely identify CPU performance issues.Next, you'll dive into detailed profiling with tools like perf record, perf report, and perf top to analyze workloads and uncover performance bottlenecks. You'll learn techniques like flame graphs for visualizing code execution, off-CPU analysis to detect wait times and latencies, and real-time monitoring techniques to address critical performance issues as they arise.Finally, you'll learn dynamic instrumentation with perf probe, which allows you to insert probes into running code without needing to restart applications. Combined with perf script, you'll learn how to write custom scripts that track specific events, offering deeper insights into application behavior and enabling more tailored performance analyses.By the end of this course, you'll have the skills to identify performance issues and optimize the performance of your applications and systems with confidence. Who this course is for Software engineers working on Linux-based systems need to understand how their applications perform Performance engineers or anyone specifically focused on the performance of software and systems Homepage https://www.udemy.com/course/mastering-performance-analysis-with-perf/ Screenshot Rapidgator https://rg.to/file/5464d9d3b1c3915d505a4c695756bedf/qdapn.Mastering.Performance.Analysis.with.perf.part1.rar.html https://rg.to/file/5a2cff05e0024ab6889a139c6ccb611d/qdapn.Mastering.Performance.Analysis.with.perf.part3.rar.html https://rg.to/file/a0e713971d4d69987f3be10031f62593/qdapn.Mastering.Performance.Analysis.with.perf.part2.rar.html Fikper Free Download https://fikper.com/5HkhhwUBlV/qdapn.Mastering.Performance.Analysis.with.perf.part2.rar.html https://fikper.com/6C9UlFcYNO/qdapn.Mastering.Performance.Analysis.with.perf.part3.rar.html https://fikper.com/y9IFS6ObPl/qdapn.Mastering.Performance.Analysis.with.perf.part1.rar.html No Password - Links are Interchangeable

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Free Download Using AI to Generate Business Analysis Deliverables Released 10/2024 With Jamie Champagne MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 2m 48s | Size: 167 MB Learn how to use various generative AI technologies to facilitate business analysis work. Course details AI is quickly becoming a competitive advantage, and those who know how to take advantage of these capabilities in their daily work will not only succeed but will far surpass their competition. In this course, Jamie Champagne-business analysis professional speaker and trainer-will walk you through various generative AI technologies showing you the approach to take to have these emerging technologies facilitate business analysis work. Explore how AI apps can streamline your communications, enhance productivity, and help you verify and validate business analysis work while speeding the delivery of business analysis deliverables. Learn how to articulate the breadth and depth of generative AI applications, not only in areas of your work, but also in generating curiosity and motivation to include various applications in your business analysis work. Homepage https://www.linkedin.com/learning/using-ai-to-generate-business-analysis-deliverables Screenshot Rapidgator https://rg.to/file/ab73b47022f631ca7c58dbbd5691d7f6/xjnvs.Using.AI.to.Generate.Business.Analysis.Deliverables.rar.html Fikper Free Download https://fikper.com/chcUhMRyJa/xjnvs.Using.AI.to.Generate.Business.Analysis.Deliverables.rar.html No Password - Links are Interchangeable

Free Download Univariate analysis using R programming Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 18m | Size: 2.32 GB Calculate summary statistics of different data types, present them as tables, and create many plots from data. What you'll learn Install R and Rstudio Calculate summary statistics for numerical and categorical data using R Convert the results to readable tables using R Plot numerical data as histograms and box plots using R Plot categorical data as bar plots and tree maps using R Apply the above concepts on freely available datasets Requirements No programming language experience is needed. You will learn R and data analysis from scratch. Description Install R and R studio.Use R studio to explore data and present the results as tables with captions.Use R studio for calculating summary statistics for the location of numerical data (mean, median, and percentiles).Learn how to use the mean and median to deduce the data distribution.Use R studio for calculating summary statistics for the spread of numerical data (range, variance, standard deviation, and interquartile range). Learn how to interpret the measures of spread to identify your risk.Learn how to present the results of summary statistics as tables with captions.Use R studio for plotting histograms of numerical data. Learn how to interpret the data histogram to deduce the data distribution.Use R studio for plotting box plots of numerical data. Learn how to interpret the data box plot to deduce the data distribution and the different quantiles.Use R studio for calculating summary statistics of categorical data (count, proportion, and percentage).Use R studio for plotting bar plots of categorical data.Use R studio for plotting tree maps of categorical data.Learn how to use the bar plots and tree map to identify the most and least frequent categories.Learn how to customize the plots to produce different versions of the plot for the same data.Learn how to export the created plots to PDF or image or copy them to your clipboard to be included in your reports. Who this course is for Laymen persons who want to understand statistics and data analysis Students or fresh graduates who want to learn R and data analysis Academic professionals who want to learn statistics to understand the statistical part of published papers Homepage https://www.udemy.com/course/univariate-analysis-using-r-programming/ Screenshot Rapidgator https://rg.to/file/309cd2c8d5c14b1f84c70bd22923f531/lvqwm.Univariate.analysis.using.R.programming.part2.rar.html https://rg.to/file/771cb8faee1829021547733e1a8d9e9f/lvqwm.Univariate.analysis.using.R.programming.part1.rar.html https://rg.to/file/fac9de7db98fdb05349e84caff496db5/lvqwm.Univariate.analysis.using.R.programming.part3.rar.html Fikper Free Download https://fikper.com/SldCHQmlXH/lvqwm.Univariate.analysis.using.R.programming.part1.rar.html https://fikper.com/nN7NlgL6nA/lvqwm.Univariate.analysis.using.R.programming.part2.rar.html https://fikper.com/uv4JqNVKS7/lvqwm.Univariate.analysis.using.R.programming.part3.rar.html No Password - Links are Interchangeable

Free Download Udemy - Practical Earned Value Analysis Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 658.00 MB | Duration: 2h 20m 25 KPI's from 5 Simple Project Management Measurements What you'll learn Learn the procedures for developing 25 Project Management KPI's Find out how to extract them from basic project tracking data Use the KPI's for performance measurements and accountability in projects Use the KPI's for the control of cost and schedule plans and execution Use the KPI's for predicting performance and avoiding risks Improve communications between project teams by the use of standard indicators Requirements The course does not require major competence. Just highschool algebra and a working knowledge of Excel to allow you to manipulate all examples and calculations. Description Earned Value Analysis (EVA) is a computational technique that uses 5 key measurements in a project to generate more than 25 KPI's. These KPI's will give the stakeholders answers to such questions: where are we in time? Where are we in actual costs? How much can we earn? They will cover questions about the performance of a project, its rates, indices and percentages. More importantly, EVA KPI's can analyze projects so that specific indices can be use to inform the management about the possibility of correcting schedules or costs to meet the original plans.This course starts by explaining the 5 measurements and showing how EVA focuses on Earned Values EV, (often called Budgeted Cost of Work Performed (BCWP). This becomes the reference measure to compare planned values and actual costs. The course proceeds to present the 25 KPI's grouped under 6 lectures, each with its own detailed explanation, examples and most with accompanying Excel workbooks showing how the calculations takes place.The course does not require advanced pre-requisities. Plain arithmetic and some highschool algebra would be more than enough. As for Microsoft Excel, a working knowledge of this tool would be a great help to your manipulate that many workouts that are provided with the course. Overview Section 1: Introduction Lecture 1 Introduction to the Course and its Structure Lecture 2 Life before EVA and the 5 Measurements Section 2: The 25 Earned Value Analysis Indicators Lecture 3 Indicators 01 to 04 A Few Basic Indicators (SV, SPI, CV, CPI) Lecture 4 Indicators 05 to 09 Rates from PV, EV, AC and Time Lecture 5 Indicators 10 to 15 Time‑based EVA Indicators Lecture 6 Indicators 16 to 18 Percentages that Analyze Completion Lecture 7 Indicators 19 to 23 Estimates and Forecasts of Completion Lecture 8 Indicators 24 to 25 Indicators that Help to Complete a Delinquent Project Project Leaders and Managers,Contractors and suppliers,Planners,Budgeting personnel,Scheduling personnel,Auditors and Financial Controllers,Cost Analysts,Data Analysts involved in providing corporate analytics,IT personnel involved with Enterprise Project Management (EPM),Operations and Technical Managers,Students embarking on learning Project Management,Project Managers embarking on PMI certification (PMBOK and PMP),Senior Directors and Management,Project Team Members Screenshot Homepage https://www.udemy.com/course/practical-earned-value-analysis/ Rapidgator https://rg.to/file/e3b1ce69ed293b3aaf2eeb5b3db79c6c/btsxh.Practical.Earned.Value.Analysis.rar.html Fikper Free Download https://fikper.com/TjrXEWIMPA/btsxh.Practical.Earned.Value.Analysis.rar.html No Password - Links are Interchangeable

Free Download Udemy - Market Research & Analysis Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 668.03 MB | Duration: 2h 24m Entrepreneurial Series Part 2: Mastering Data-Driven Decisions What you'll learn Conduct in-depth market analysis using both qualitative and quantitative data. Identify emerging market trends and niche opportunities for growth. Leverage big data and social media analytics for consumer behavior insights. Develop effective competitive analysis strategies and strategic market positioning. Apply predictive analysis techniques to forecast market trends. Understand the ethics and best practices in market research. Requirements No formal prerequisites are required, but a basic understanding of business or marketing concepts is helpful. Beginners with an interest in data-driven decision-making and professionals who want to deepen their market analysis skills will find this course highly accessible. Description Market Research and Analysis: Mastering Data-Driven Decisions is the essential course for professionals and entrepreneurs who want to stay competitive in today's fast-paced, data-driven world. This course is the second instalment in the Entrepreneurial Skills series and is designed to help you grasp the essential concepts and tools for effective market analysis. Whether you're trying to predict the next big market trend or gain deeper insights into consumer behaviour, this course will equip you with the knowledge and strategies necessary to succeed.In this course, you'll learn how to perform in-depth market analysis using both qualitative and quantitative data. You'll understand how to leverage social media analytics to gain real-time insights into customer preferences and predict market trends using advanced data analysis techniques. Moreover, you'll explore ethical practices in market research and discover how to use competitive analysis to strategically position your business in the marketplace.Through case studies, real-world examples, and practical applications, you will learn how to turn data into actionable insights, helping you make informed decisions to drive growth.What is primarily taught in this course?Techniques for conducting thorough market analysis.Utilising big data and predictive analytics in market research.Consumer behaviour analysis through social media and other digital platforms.Competitive analysis and strategic positioning.Trend forecasting and identifying emerging markets.By the end of the course, you will have the confidence to conduct professional market research and apply your findings to create effective marketing strategies and business plans. Overview Section 1: Course introduction Lecture 1 Course introduction Section 2: Section 1 - Techniques for in-depth market analysis Lecture 2 Section 1 introduction - Techniques for in-depth market analysis Lecture 3 Lesson 1.1 - Introduction to in-depth market Lecture 4 Lesson 1.2 - Analytical frameworks and models Lecture 5 Lesson 1.3 - Key techniques for market Lecture 6 Section 1 conclusion Section 3: Section 2 - Identifying emerging trends and niche markets Lecture 7 Section 2 introduction - Identifying emerging trends and niche markets Lecture 8 Lesson 2.1 - Introduction to emerging trends Lecture 9 Lesson 2.2 - Strategies for identifying niche markets Lecture 10 Lesson 2.3 - Tools and resources for trend analysis Lecture 11 Section 2 conclusion Section 4: Section 3 - Utilising big data in market research Lecture 12 Section 3 introduction - Utilising big data in market research Lecture 13 Lesson 3.1 - The role of big data in market analysis Lecture 14 Lesson 3.2 - Techniques for collecting and analysing big data Lecture 15 Lesson 3.3 - Real-world applications of big data in market research Lecture 16 Section 3 conclusion Section 5: Section 4 - Consumer behaviour analysis Lecture 17 Section 4 introduction - Consumer behaviour analysis Lecture 18 Lesson 4.1 - Understanding consumer psychology Lecture 19 Lesson 4.2 - Methods for analysing consumer behaviour Lecture 20 Lesson 4.3 - Applying behaviour analysis to market strategies Lecture 21 Section 4 conclusion Section 6: Section 5 - Competitive analysis and strategic positioning Lecture 22 Section 5 introduction - Competitive analysis and strategic positioning Lecture 23 Lesson 5.1 - Conducting a competitive analysis Lecture 24 Lesson 5.2 - Identifying competitive advantages Lecture 25 Lesson 5.3 - Case studies on market positioning Lecture 26 Section 5 conclusion Section 7: Section 6 - Integrating social media analytics into market research Lecture 27 Section 6 introduction - Integrating social media analytics into market research Lecture 28 Lesson 6.1 - The power of social media in market research Lecture 29 Lesson 6.2 - Analysing social media data for market insights Lecture 30 Lesson 6.3 - Case Studies on social media analytics in action Lecture 31 Section 6 conclusion Section 8: Section 7 - Forecasting and predictive analysis in market research Lecture 32 Section 7 introduction - Forecasting and predictive analysis in market research Lecture 33 Lesson 7.1 - Introduction to forecasting models Lecture 34 Lesson 7.2 - Techniques for predictive analysis Lecture 35 Lesson 7.3 - Applying predictive analysis in market research Lecture 36 Section 7 conclusion Section 9: Section 8 - Developing and implementing effective survey strategies Lecture 37 Section 8 introduction - Developing and implementing effective survey strategies Lecture 38 Lesson 8.1 - Crafting effective surveys Lecture 39 Lesson 8.2 - Best practices for survey implementation Lecture 40 Lesson 8.3 - Analysing survey data Lecture 41 Section 8 conclusion Section 10: Section 9 - Ethics and best practices in market research Lecture 42 Section 9 introduction - Ethics and best practices in market research Lecture 43 Lesson 9.1 - Ethical considerations in market research Lecture 44 Lesson 9.2 - Ensuring data privacy and consent Lecture 45 Lesson 9.3 - Establishing best practices Lecture 46 Section 9 conclusion Section 11: Course conclusion. Lecture 47 Course conclusion Aspiring entrepreneurs who need to understand their market before launching a product.,Marketing professionals who want to improve their data analysis skills.,Business owners seeking to stay competitive by understanding emerging trends.,Data enthusiasts and professionals interested in utilising big data for market insights. Screenshot Homepage https://www.udemy.com/course/entrepreneurial-series-part-2-market-research-analysis/ Rapidgator https://rg.to/file/b4b10c81679f5bcde8dd01d8da3d3b0c/qzjer.Market.Research..Analysis.rar.html Fikper Free Download https://fikper.com/fyjoYSPyt6/qzjer.Market.Research..Analysis.rar.html No Password - Links are Interchangeable