Master In Business Analytics

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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

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