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Master In Business Analytics - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Master In Business Analytics (/Thread-Master-In-Business-Analytics) |
Master In Business Analytics - AD-TEAM - 01-23-2025 ![]() Master In Business Analytics Published 1/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 11.20 GB | Duration: 12h 48m An in-depth Data Science course for Data and Business Analyst covering data analysis, analytics, statistics etc [b]What you'll learn[/b] What is Business Analytics How is Business Analytics different from Business Analysis What roles can you get after doing Business Analytics Case Studies of Excellence in Business Analytics How to become excellent in business analytics [b]Requirements[/b] Willingness to invest 13 hours in doing this course [b]Description[/b] Want to become an Successful Data Analyst or Business Intelligence Analyst but don't know what to do and how?Take a look at this course where you willNot only learn about the Business Analytics in depth interactively with a lot of examples and case studies including Data Collection, Cleaning, and Preprocessing; Descriptive, Predictive, and Prescriptive Analytics; Developing Technical Skills in Programming, Database Management, Visualization Tools, Statistical Tools but also learnUnderstanding Business Context and Strategy and Mastering Communication and StorytellingPreview 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 comprehensive and in-depth exposure to Business Analytics happened when I was helping IIM Udaipur students prepare to get placed as Data Analysts in 2016While I had a good understanding of the Business Context and Strategy and Mastering Communication and Storytelling and Statistical Tools from my earlier years of management education and experience, I had to learn all about Data Collection, Cleaning, and Preprocessing; Descriptive, Predictive, and Prescriptive Analytics; Developing Technical Skills in Programming, Database Management, Visualization Tools etcI continued my learning journey in this rapidly evolving field since then while working with many of my clients in data science and analytics till nowI bring in this course my learnings from this journey and share with you how can you also become a Successful Data Analyst or Business Intelligence AnalystPreview for yourself many lectures free. If you like the content, enroll for the course, enjoy and skill yourself to become a Master in Business Analytics! If don't like the content, please message about how can we modify it to meet your expectations.Please remember that this course comes with Udemy's 30 days Money Back Guarantee Overview Section 1: Introduction Lecture 1 Introduction Section 2: Overview Lecture 2 Overview I Lecture 3 Overview II Lecture 4 Overview III Lecture 5 Overview IV Section 3: Case Studies of Excellence Lecture 6 Case Studies of Excellence I Lecture 7 Case Studies of Excellence II Lecture 8 Case Studies of Excellence III Lecture 9 Case Studies of Excellence IV Section 4: How to become excellent in Business Analytics Lecture 10 How to become excellent in Business Analytics I Lecture 11 How to become excellent in business analytics II Section 5: Understand data collection, cleaning, and preprocessing Lecture 12 Understand data collection, cleaning, and preprocessing I Lecture 13 Understand data collection, cleaning, and preprocessing II Lecture 14 Understand data collection, cleaning, and preprocessing III Lecture 15 Understand data collection, cleaning, and preprocessing IV Lecture 16 Understand data collection, cleaning, and preprocessing V Lecture 17 Understand data collection, cleaning, and preprocessing VI Lecture 18 Understand data collection, cleaning, and preprocessing VII Lecture 19 Understand data collection, cleaning, and preprocessing VIII Lecture 20 Understand data collection, cleaning, and preprocessing IX Lecture 21 Understand data collection, cleaning, and preprocessing X Lecture 22 Understand data collection, cleaning, and preprocessing XI Lecture 23 Understand data collection, cleaning, and preprocessing XII Lecture 24 Understand data collection, cleaning, and preprocessing XIII Lecture 25 Understand data collection, cleaning, and preprocessing XIV Lecture 26 Understand data collection, cleaning, and preprocessing XV Lecture 27 Understand data collection, cleaning, and preprocessing XVI Section 6: Master Descriptive Analytics Lecture 28 Master Descriptive Analytics I Lecture 29 Master Descriptive Analytics II Lecture 30 Master Descriptive Analytics III Lecture 31 Master Descriptive Analytics IV Lecture 32 Master Descriptive Analytics V Lecture 33 Master Descriptive Analytics VI Lecture 34 Master Descriptive Analytics VII Section 7: Master Predictive Analytics Lecture 35 Master Predictive Analytics I Lecture 36 Master Predictive Analytics II Lecture 37 Master Predictive Analytics III Lecture 38 Master Predictive Analytics IV Lecture 39 Master Predictive Analytics V Lecture 40 Master Predictive Analytics VI Lecture 41 Master Predictive Analytics VII Lecture 42 Master Predictive Analytics VIII Lecture 43 Master Predictive Analytics IX Lecture 44 Master Predictive Analytics X Lecture 45 Master Predictive Analytics XI Lecture 46 Master Predictive Analytics XII Lecture 47 Master Predictive Analytics XIII Lecture 48 Master Predictive Analytics XIV Lecture 49 Master Predictive Analytics XV Lecture 50 Master Predictive Analytics XVI Section 8: Master Prescriptive Analytics Lecture 51 Master Prescriptive Analytics I Lecture 52 Master Prescriptive Analytics II Lecture 53 Master Prescriptive Analytics III Lecture 54 Master Prescriptive Analytics IV Lecture 55 Master Prescriptive Analytics V Lecture 56 Master Prescriptive Analytics VI Lecture 57 Master Prescriptive Analytics VII Lecture 58 Master Prescriptive Analytics VIII Lecture 59 Master Prescriptive Analytics IX Lecture 60 Master Prescriptive Analytics X Lecture 61 Master Prescriptive Analytics XI Section 9: Developing Technical Skills Lecture 62 Developing Technical Skills I Lecture 63 Developing Technical Skills II Lecture 64 Developing Technical Skills III Lecture 65 Developing Technical Skills IV Section 10: Understand Business Context and Strategy Lecture 66 Understand Business Context and Strategy I Lecture 67 Understand Business Context and Strategy II Lecture 68 Understand Business Context and Strategy III Section 11: Gain Hands-On Experience Lecture 69 Gain Hands-On Experience I Lecture 70 Gain Hands-On Experience II Lecture 71 Gain Hands-On Experience III Section 12: Communication and Storytelling Lecture 72 Communication and Storytelling I Lecture 73 Communication and Storytelling II Lecture 74 Communication and Storytelling III Lecture 75 Communication and Storytelling IV Section 13: Stay Updated with Tools and Trends Lecture 76 Stay Updated with Tools and Trends I Lecture 77 Stay Updated with Tools and Trends II Lecture 78 Stay Updated with Tools and Trends III Lecture 79 Stay Updated with Tools and Trends IV Section 14: Foster Collaboration and Business Acumen Lecture 80 Foster Collaboration and Business Acumen I Lecture 81 Foster Collaboration and Business Acumen II Lecture 82 Foster Collaboration and Business Acumen III Section 15: Build a Network and Learn from Experts Lecture 83 Build a Network and Learn from Experts I Lecture 84 Build a Network and Learn from Experts II Lecture 85 Build a Network and Learn from Experts III Section 16: Focus on Real-World Impact Lecture 86 Focus on Real-World Impact I Lecture 87 Focus on Real-World Impact II Section 17: Develop a Growth Mindset Lecture 88 Develop a Growth Mindset I Lecture 89 Develop a Growth Mindset II Lecture 90 Develop a Growth Mindset III Section 18: Summary Lecture 91 Summary Aspiring Business Analyst, Data Analyst and Reporting Analyst ![]() RapidGator AlfaFile TurboBit |