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Free Download Marketing Analyst Learn Sales Forecasting & Market Analysis Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 359.81 MB | Duration: 1h 3m Mastering AI-Driven Sales Forecasting, Market Analysis, customer Segmentation, Predictive Analytics ML models in Python. What you'll learn Analyze Market Trends with Python Identify and analyze key market trends and consumer behaviors using Python tools. Develop Sales Forecasting Models Build predictive models to forecast sales and understand their impact on marketing strategies. Leverage Data for Market Insights Extract, manipulate, and visualize data to generate valuable market insights and recommendations. Apply Statistical Methods to Market Analysis Utilize statistical techniques to assess market potential and optimize marketing efforts. Requirements Basic understanding of marketing concepts. Familiarity with Python programming (e.g., variables, loops). Access to a computer with Python installed. No advanced data analysis experience required, as foundational concepts will be covered. Description Welcome to Comprehensive Marketing Data Analysis and YouTube Analytics using Python, an in-depth, hands-on course designed to equip you with the practical skills needed to leverage Python for marketing data analysis and analytics across various platforms. This course covers a wide range of topics, from YouTube Analytics and Marketing Data Analysis to more advanced case studies using machine learning in marketing, customer segmentation, churn detection, and AB testing. Whether you're a marketing professional, data analyst, or a Python enthusiast, this course will take you from beginner to advanced levels, empowering you to make data-driven decisions in marketing.Part 1: Marketing Data Analysis with Pandas and PythonBuilding on the foundations of YouTube Analytics, this part focuses on general marketing data analysis using Python, emphasizing practical techniques for data-driven marketing strategies.Data Exploration and Preprocessing:Get hands-on with Pandas to clean, preprocess, and explore marketing datasets. Understand how to handle inconsistencies and anomalies to ensure reliable insights.Customer Segmentation:Learn to segment customers effectively, identifying unique profiles and tailoring marketing efforts accordingly. Utilize clustering algorithms to classify customers based on behaviors and preferences.Sales Forecasting and Time Series Analysis:Gain expertise in time series analysis for sales forecasting. Apply techniques like moving averages and exponential smoothing to project future trends.Automating Marketing Analysis:Develop automation skills to streamline data analysis workflows, save time, and scale your analytical capabilities with Python scripts that generate consistent and reliable insights.Marketing Metrics and Campaign Visualization:Dive into key marketing metrics such as CTR, conversion rates, and customer lifetime value. Visualize campaigns using Python libraries to create data-driven strategies.Part 2: YouTube Analytics using PythonYouTube is a treasure trove of marketing insights. This section shows you how to collect, process, and analyze YouTube data with Python.Introduction to YouTube Analytics:Get an overview of YouTube Analytics and how to extract and interpret data using Python. Understand the significance of various metrics for marketing strategies.Data Collection and Processing:Learn how to use the YouTube API for data extraction, covering setup, authentication, and data merging techniques.Text Processing and Sentiment Analysis:Analyze video comments to gauge audience sentiment using NLP techniques in Python.Network Analysis:Explore content creator-audience relationships through network analysis, measuring network metrics, and visualizing connections.Geospatial Data and Mapping:Incorporate geographical data using JSON and create maps to plot user distributions and demographics.Part 3: Banking Data Analysis and Case StudyIn this section, you'll work on a case study using the Kaggle banking dataset, focusing on customer demographics, transaction data, and marketing campaign responses to develop targeted marketing strategies for the banking sector.Part 4: Machine Learning in MarketingDelve into machine learning applications in marketing, including supervised and unsupervised learning, predictive modeling, and budget optimization.Part 5: Customer SegmentationLearn advanced customer segmentation techniques to refine marketing strategies, focusing on clustering and customer behavior analysis.Part 6: Churn DetectionApply machine learning to detect customer churn, understanding how to predict and mitigate potential losses in customer retention.Part 7: Customer Analytics and AB TestingMaster customer analytics with the Google Analytics Customer Revenue Prediction dataset, and gain proficiency in AB testing to measure marketing impact, calculate lift, and perform significance testing with Python.Learning Outcomes:Collect, process, and analyze marketing data and YouTube insights using Python.Build and evaluate predictive models to forecast sales, detect churn, and segment customers.Visualize complex metrics and create maps for geographical insights.Perform sentiment analysis, network analysis, and AB testing for data-driven marketing decisions.Requirements:Basic Python programming knowledge is helpful but not required.No prior marketing or data analysis experience needed; all concepts are introduced from scratch.Intended Audience: This course is ideal for aspiring data analysts, marketers, and professionals who want to enhance their Python skills in a marketing context. It offers insights into YouTube Analytics, customer segmentation, and machine learning for marketing, empowering you to excel in the data-driven marketing field. Overview Section 1: Marketing Data Analysis Overview. Lecture 1 Introduction to Pandas for Marketing Data Analysis Lecture 2 Assignment Solution Lecture 3 Exploratory Data Analysis Lecture 4 Assignment Solution Lecture 5 Marketing Metrics Lecture 6 Customer Segmentation Overviewing Lecture 7 Visualization of the Marketing Campaigns using Python Lecture 8 Automating Marketing Analysis in Python Lecture 9 Identifying Marketing Data Inconsistencies using Python Lecture 10 Resolving Inconsistencies in Marketing Data using Python Lecture 11 Designing an AB Test for Marketing Data in Python This course is ideal for marketing professionals, business analysts.,Aspiring data-driven marketers who want to expand their analytical skills.,Whether you're new to Python or looking to enhance your marketing insights with data.,This course will provide the knowledge and practical experience needed to make informed marketing decisions. 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Free Download Business Analyst Interview Case Study Presentation Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.20 GB | Duration: 2h 58m Learn how to do an interview presentation case study to land a Business Analyst job What you'll learn How to present a Business Analyst case study in an interview to land a Business Analyst job Work on a real world example of an interview case study for a Wealth Management mobile app used in an actual BA interview process Learn how to approach a case study problem and determine minimum viable product ( MVP) Learn how to enhance your storytelling skills for the interview and make complex information simple to follow in an interview presentation Develop skills to interpret any case study you receive in the interview process Learn to identify stakeholders and key requirements Master the process of designing app features for your presentation to hiring managers Understand how to structure a compelling presentation to land the job Requirements Basic understanding of Business Analysis techniques are required for this course Description This course equips aspiring Business Analysts with the skills and confidence needed to present a case study effectively, specifically focusing on a case study from a real interview case study to develop a Wealth Management mobile app.In this course, parti[beeep]nts will gain a comprehensive set of skills and insights tailored to successfully present a case study for a Business Analyst role.You'll learn how to analyze business requirements, devise practical solutions, and present your findings persuasively-critical skills for standing out in today's competitive job market. The course features recorded sessions with a live audience, simulating a professional interview environment and helping you gain practical insights into addressing the needs of stakeholders.By the end of the course, you'll not only refine your technical analysis but also enhance your communication and presentation skills, preparing you to deliver compelling case study presentations to hiring panels. Whether you're preparing for an interview or aiming to sharpen your professional skills, this course will give you the tools and confidence to showcase your expertise effectively in any business setting.Become a standout candidate by mastering the case study analysis and delivering high-impact presentations that impress the hiring managers to land you the Business Analyst job! Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Course Overview Section 2: Understanding Business Analyst Interview Case Studies Lecture 3 Course outline Lecture 4 Why do employers use interview case studies? Lecture 5 Examples of case studies used by hiring managers Lecture 6 What employers are looking for in the interview case study presentation Lecture 7 How to interpret the interview case study asks Lecture 8 Game time: Identify interview case study themes exercise Section 3: Business Analyst Interview Case Study - Wealth Management Mobile App Lecture 9 Case study overview Lecture 10 Interpreting the case study ask Lecture 11 Terms and definitions in this case study Lecture 12 Understanding the problem to solve Lecture 13 Determine the minimum viable product (MVP) Lecture 14 Determine the MVP 2 Lecture 15 The final MVP list of features Lecture 16 Determining the future enhancements Section 4: Preparing the Artefacts for the Case Study Lecture 17 Determining the right documentation to use Lecture 18 Designing the mobile app Lecture 19 Documenting the high level requirements Lecture 20 Creating the backlog Lecture 21 Writing the user stories (+ downloadable files) Lecture 22 Examples of user stories and epics from real projects Section 5: Finalizing the Presentation of the Case Study Lecture 0 How to structure the case study presentation to the hiring managers Lecture 0 Prepping your answers and your presentation layout Lecture 0 Delivering the final presentation (+ downloadable file) Lecture 23 Presentation tips to land the job! Lecture 24 Course wrap-up Section 6: Answers to Common Business Analyst Questions Lecture 25 Do Business Analysts have to write system requirements? Lecture 26 Do we include the technical details in our answer? Lecture 27 Can you give multiple options in your answer to the case study? Lecture 28 Can we include assumptions in our problem statement? Lecture 29 Do we need to create both mockups as well as wireframes? Lecture 30 How does the BA work with the UX designer? Lecture 31 Should we have epics or user stories in the backlog? Lecture 32 How did you frame the problem? Lecture 33 Is the BRD only for Agile? Lecture 34 What about companies that write both BRD and user stories? Lecture 35 Do project managers write BRDs? Lecture 36 What's the difference between waterfall and agile methodology? Lecture 37 How long would a project like this take? Lecture 38 Should we include elicitation techniques in this case study presentation? Section 7: Closing Remarks Lecture 39 Course Outro This course is for anyone currently searching for a job as a Functional Business Analyst and looking to work as a BA on software projects. 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Free Download Business Analyst Career Blueprint From Beginner to Hired Published 10/2024 Created by Youness Gouiza MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 66 Lectures ( 4h 9m ) | Size: 4.8 GB Master the essential skills to become a Business Analyst, from requirements gathering to landing your first job. What you'll learn Define the roles and responsibilities of a Business Analyst in various industries. Understand how to gather, analyze, and document requirements effectively. Learn how to use essential tools such as Microsoft Excel, Visio, and Jira for Business Analysis. Gain practical knowledge to ace job interviews and land your first Business Analyst role. Requirements No prior Business Analysis experience is required. Basic familiarity with business concepts is beneficial but not mandatory. All necessary skills and tools will be taught during the course. Description Are you ready to embark on a fulfilling career as a Business Analyst but don't know where to start? This comprehensive course is designed to take you from a complete beginner to a confident professional, ready to ace your interviews and secure a job in the industry. Whether you're transitioning from another role or entering the workforce for the first time, this course will equip you with the skills, knowledge, and confidence needed to thrive.In this course, you'll:Learn the core responsibilities of a Business Analyst.Understand how to analyze, document, and manage business requirements.Get hands-on experience with popular tools such as Jira, Excel, and Visio.Develop the skills to communicate effectively with stakeholders across all levels of the business.Learn job interview techniques to confidently land your first Business Analyst role.This course also focuses on developing crucial soft skills such as problem-solving, critical thinking, and time management, which are essential for success in any Business Analyst role. Whether you are switching careers or starting fresh, this course provides a comprehensive guide to excel in this exciting and growing field. By the end, you'll have practical experience, industry knowledge, and job-ready skills to start your Business Analyst career with confidence. Who this course is for Beginners who are looking to start their career as Business Analysts. Professionals from other industries interested in transitioning into Business Analysis. Recent graduates aiming to land their first job in the field of Business Analysis. Homepage https://www.udemy.com/course/business-analyst-career-blueprint-from-beginner-to-hired/ Screenshot Rapidgator https://rg.to/file/0f4963384defd76cd3bc7526c554b0dc/gxhts.Business.Analyst.Career.Blueprint.From.Beginner.to.Hired.part4.rar.html https://rg.to/file/4a4127544d27d5ce0382dd1ce3216981/gxhts.Business.Analyst.Career.Blueprint.From.Beginner.to.Hired.part1.rar.html https://rg.to/file/5f1240fcbfe789adcb658fff96e89b14/gxhts.Business.Analyst.Career.Blueprint.From.Beginner.to.Hired.part5.rar.html https://rg.to/file/b43a9bda1093957ba8643dfa93e3dd30/gxhts.Business.Analyst.Career.Blueprint.From.Beginner.to.Hired.part2.rar.html https://rg.to/file/c68cbe324664b924dfb10a7981338cf9/gxhts.Business.Analyst.Career.Blueprint.From.Beginner.to.Hired.part3.rar.html Fikper Free Download https://fikper.com/FyGXg5d6Cr/gxhts.Business.Analyst.Career.Blueprint.From.Beginner.to.Hired.part1.rar.html https://fikper.com/NkXNXxlu4V/gxhts.Business.Analyst.Career.Blueprint.From.Beginner.to.Hired.part4.rar.html https://fikper.com/OuF1tk3fXF/gxhts.Business.Analyst.Career.Blueprint.From.Beginner.to.Hired.part3.rar.html https://fikper.com/RVRbqRsKt2/gxhts.Business.Analyst.Career.Blueprint.From.Beginner.to.Hired.part2.rar.html https://fikper.com/qsL1q8YEUb/gxhts.Business.Analyst.Career.Blueprint.From.Beginner.to.Hired.part5.rar.html No Password - Links are Interchangeable

Free Download Intensive Course For Functional Analyst - Job Outlook Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.14 GB | Duration: 2h 53m Intensive Course for Experienced Functional Analysts - Theory What you'll learn They will understand the concept of the Functional Analyst in the field, in companies, as well as the skills, functions, and knowledge required. They will learn about the stages of a Software Development project and the role of the Functional Analyst in a Software Development project. They will understand the diagrams that the Functional Analyst can create. They will examine each stage of the Software Development project in detail. Requirements Be eager to explore the world of the Functional Analyst. I recommend later taking the practical part, which is the course where we cover Systems Derivation (look among my courses). You can also complement it with courses on UML, Jira, etc. I also recommend taking the SQL SERVER course. Description Course Overview: Functional Analyst RoleI want to be upfront with you: my English isn't perfect, but I aim to share my knowledge in this language so that English-speaking students can obtain a certificate for this course. To achieve this, I'm using artificial intelligence tools.Course ObjectivesThis course aims to explain the role of a Functional Analyst within companies, both in 'client companies' (companies that purchase the Analyst's services from a software factory) and in 'software factories' where the Analyst will work.Course Details"This is a SHORTENED, theory-based version of the 'Intensive Course for Experienced Functional Analysts' that I previously published in Spanish. So, if you've already taken that course in Spanish, there's no need to take this one as it's a shorter version covering the theory related to the world of Functional Analysts and their activities.Course ContentHere we have a new version of the course, much shorter, and taught in English. We'll cover concepts about the Functional Analyst, the profile's functions, their role in both Client companies and 'software factory' companies, as well as the skills and knowledge a Functional Analyst should have.We'll also delve into Software Development Projects and all their stages, elaborating on each one:Requirements EngineeringFunctional Analysis - Diagrams generated by the FA. Databases and the Functional AnalystSystem Design - Related to the system's structure, designing the foundations for system developmentSystem Construction - Discussing concepts like application types, DevOps, full-stack developer, frontend developer, backend developer, APIs, UX/UI design, web services, programming languagesTestingDocumentation and Training - Relevant documentationDeploymentPost-Production TestingChange ManagementMaintenanceSupportClarificationThe derivation of diagrams from the use case diagram is explained at a theoretical level, as there is a practical part associated with another course dedicated exclusively to this.Additional InformationI recommend taking the practical part or part 2, which will be published later, to get a sense of the exercises. Then, you can check out the complementary courses on the course portal (practical part, SQL SERVER, UML with Jira, etc.).I recommend continuing with the practical part of this course, which will be available soon.Best regards, Lau Overview Section 1: Introducción Lecture 1 Introducción Lecture 2 Course Documentation Lecture 3 What Does the Functional Analyst do? Lecture 4 The Role of Functional Analysts in Businesses Lecture 5 Skills and framework of a functional analyst Lecture 6 Role and Skills of the Functional Analyst Lecture 7 Project Stages and Leadership Lecture 8 Stages of Software Development Lecture 9 Requirements Engineering Lecture 10 Functional Analysis Lecture 11 System Design Lecture 12 System Construction Lecture 13 System Testing Lecture 14 System-Related Documentation Lecture 15 System Deployment Lecture 16 Post-Production Testing Lecture 17 Change Management Lecture 18 System Maintenance and Support Lecture 19 BONUS To individuals who are eager to enhance their resume or CV with this type of knowledge. 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Free Download TOTAL - CompTIA CySA+ Cybersecurity Analyst (CS0-003) Published 9/2024 Duration: 14h 49m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 3.75 GB Genre: eLearning | Language: English The course prepares you for the CompTIA CySA+ (CS0-003) exam with an in-depth dive into the world of cybersecurity analytics. It begins by introducing the CySA+ exam, guiding you through exam preparation, system architectures, and operating systems. You will install and work with Kali Linux and other tools critical for logging and network architecture, building a solid foundation for further cybersecurity practices. As you progress, the focus shifts to the identification and mitigation of cyber threats. You'll explore attack methodologies, frameworks, and various tools for analyzing malicious activity, such as Wireshark, WHOIS, and AbuseIPDB. The hands-on demos will solidify your knowledge, enabling you to detect and respond to threats using real-world analysis techniques. You'll also dive deep into threat intelligence and hunting, covering advanced topics like risk and vulnerability management. In the final chapters, the course hones your skills in vulnerability scanning and incident response. You will engage with various scanning tools, and demos like Burp Suite and Nessus, learning to handle vulnerabilities through risk management and patching techniques. By the end of the course, you'll be well-versed in incident response procedures and basic digital forensics, ensuring you can handle post-incident reporting and remediation. What you will learn Detect and analyze network and host-based threats Implement threat intelligence to enhance security operations Use tools like Wireshark and Nessus for vulnerability assessments Mitigate cyberattacks using effective defense strategies Perform incident response, including containment and recovery Conduct post-incident analysis to improve security resilience Audience This course is designed for IT professionals preparing for the CompTIA CySA+ (CS0-003) certification. A solid understanding of networking and security fundamentals is recommended. Familiarity with Linux and basic cybersecurity tools will enhance the learning experience. About the Author CyberNow Labs Institute: Mike Meyers, known as the "Alpha Geek," is the President and co-founder of Total Seminars, L.L.C., a leading provider of PC and network repair seminars, books, videos, and courseware. With over three decades' experience in the computer and network repair industry, he is a renowned authority on CompTIA Certifications TakeFile https://takefile.link/a9we7zckt1ug/admqv.TOTAL..CompTIA.CySA.Cybersecurity.Analyst.CS0003.part3.rar.html https://takefile.link/d4xno7ra8bf6/admqv.TOTAL..CompTIA.CySA.Cybersecurity.Analyst.CS0003.part2.rar.html https://takefile.link/ha8q6rca96bo/admqv.TOTAL..CompTIA.CySA.Cybersecurity.Analyst.CS0003.part4.rar.html https://takefile.link/j9ie70biizj6/admqv.TOTAL..CompTIA.CySA.Cybersecurity.Analyst.CS0003.part1.rar.html Rapidgator https://rg.to/file/132a8a9bf29038d9dc749e0549b43556/admqv.TOTAL..CompTIA.CySA.Cybersecurity.Analyst.CS0003.part1.rar.html https://rg.to/file/6db9f157c5494fa4e3cacc97bfc4b217/admqv.TOTAL..CompTIA.CySA.Cybersecurity.Analyst.CS0003.part2.rar.html https://rg.to/file/780eb21c3ce6e325d5d37e80bdfea2a1/admqv.TOTAL..CompTIA.CySA.Cybersecurity.Analyst.CS0003.part3.rar.html https://rg.to/file/d514a761e8eec8779fa45251e2bc7be0/admqv.TOTAL..CompTIA.CySA.Cybersecurity.Analyst.CS0003.part4.rar.html Fikper Free Download https://fikper.com/69VeHiayTf/admqv.TOTAL..CompTIA.CySA.Cybersecurity.Analyst.CS0003.part1.rar.html https://fikper.com/C49mHNhgR3/admqv.TOTAL..CompTIA.CySA.Cybersecurity.Analyst.CS0003.part4.rar.html https://fikper.com/cAQCBcjBG9/admqv.TOTAL..CompTIA.CySA.Cybersecurity.Analyst.CS0003.part3.rar.html https://fikper.com/nwAwXz7yTp/admqv.TOTAL..CompTIA.CySA.Cybersecurity.Analyst.CS0003.part2.rar.html No Password - Links are Interchangeable

Free Download Coursera - Meta Data Analyst Professional Certificate Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 326 Lessons ( 22h 26m ) | Size: 5.8 GB Launch your career in data analytics. Build job-ready skills - and must-have AI skills - for an in-demand career. Earn a credential from Meta in 5 months or less. No degree or prior experience required. What you'll learn Collect, clean, sort, evaluate, and visualize data Apply the OSEMN, framework to guide the data analysis process, ensuring a comprehensive and structured approach to deriving actionable insights Use statistical analysis, including hypothesis testing, regression analysis, and more, to make data-driven decisions Develop an understanding of the foundational principles of effective data management and usability of data assets within organizational context Skills you'll gain SQL Pandas Generative AI in Data Analytics Data Analysis Python Programming Prepare for a career in the high-growth field of data analytics. In this program, you'll build in-demand technical skills like Python, Statistics, and SQL in spreadsheets to get job-ready in 5 months or less, no prior experience needed. You'll also have the option to learn how generative AI tools and techniques are used in data analytics. Data analysis involves collecting, processing, and analyzing data to extract insights that can inform decision-making and strategy across an organization. In this program, you'll learn basic data analysis principles, how data informs decisions, and how to apply the OSEMN framework to approach common analytics questions. You'll also learn how to use essential tools like SQL, Python, and Tableau to collect, connect, visualize, and analyze relevant data. You'll learn how to apply common statistical methods to writing hypotheses through project scenarios to gain practical experience with designing experiments and analyzing results. When you complete this full program, you'll have a portfolio of hands-on projects and a Professional Certificate from Meta to showcase your expertise. Applied Learning Project Throughout the program, you'll get to practice your new data analysis skills through hands-on projects including: Identifying data sources Using spreadsheets to clean and filter data Using Python to sort and explore data Using Tableau to visualize results Using statistical analyses By the end, you'll have a professional portfolio that you can show to prospective employers or utilize for your own business. Homepage https://www.coursera.org/professional-certificates/meta-data-analyst TakeFile https://takefile.link/obrpjort9haw/rkldp.Coursera..Meta.Data.Analyst.Professional.Certificate.part1.rar.html https://takefile.link/0o0vytqpya37/rkldp.Coursera..Meta.Data.Analyst.Professional.Certificate.part2.rar.html https://takefile.link/34bskatzz17w/rkldp.Coursera..Meta.Data.Analyst.Professional.Certificate.part3.rar.html https://takefile.link/qrpltfcjyyd8/rkldp.Coursera..Meta.Data.Analyst.Professional.Certificate.part4.rar.html https://takefile.link/8xs2j14g1aa4/rkldp.Coursera..Meta.Data.Analyst.Professional.Certificate.part5.rar.html https://takefile.link/bvorrbabt7a8/rkldp.Coursera..Meta.Data.Analyst.Professional.Certificate.part6.rar.html Rapidgator http://peeplink.in/4f6440b65328 Fikper Free Download https://fikper.com/lOEYaICLuR/rkldp.Coursera..Meta.Data.Analyst.Professional.Certificate.part1.rar.html https://fikper.com/amv7NDKYix/rkldp.Coursera..Meta.Data.Analyst.Professional.Certificate.part2.rar.html https://fikper.com/1TC8Mwgk6X/rkldp.Coursera..Meta.Data.Analyst.Professional.Certificate.part3.rar.html https://fikper.com/tOSwzILmAC/rkldp.Coursera..Meta.Data.Analyst.Professional.Certificate.part4.rar.html https://fikper.com/rK9dn7Jbkk/rkldp.Coursera..Meta.Data.Analyst.Professional.Certificate.part5.rar.html https://fikper.com/ipTh2AAlzc/rkldp.Coursera..Meta.Data.Analyst.Professional.Certificate.part6.rar.html No Password - Links are Interchangeable

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