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Semester 2MGT4210

Business Analytics (MGT4210) crash course, Online MBA, Semester 2:

This subject introduces business analytics, covering descriptive, predictive and prescriptive analytics, data mining, decision trees, optimization with linear…

  • 15 video lessons
  • 2h 41m
  • Study notes
  • 75 quiz questions
  • Assignment
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Business Analytics crash course

15 lessons in Business Analytics

Each lesson pairs one topic with a hand-picked video, trimmed to the part that teaches it.

About this subject

This subject introduces business analytics, covering descriptive, predictive and prescriptive analytics, data mining, decision trees, optimization with linear programming, big data, machine learning basics, regression and simulation using Excel, XL Miner and R. After it, you will be able to summarize and visualize business data, build and interpret decision, optimization and regression models, and run simple simulations to support decisions in marketing, finance, HR and operations.

  1. 1

    What Is Business Analytics? Data-Driven Decisions

    Module I, Introduction to Business Analytics: Importance and role of data driven decisions, Business Analytics – Definition, Market, Trends, Paradigm Shift from Data to Insight and from Business Intelligence to Business Analytics

    Difference Between Business Analytics And Business Intelligence - How To Make Data Driven Decisions?· Business Analytics by SkillArbitrage· 6 min

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  2. 2

    Descriptive, Predictive and Prescriptive Analytics

    Module I, Introduction to Business Analytics: Examples and Types of Business Analytics Analysis – Forecasting & Predictive Modeling, Descriptive, Prescriptive and Predictive Analytics

    Types of Business Analytics (Descriptive, Predictive, and Prescriptive)· Our Kaleidoscope Journey· 8 min

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  3. 3

    Data Visualization and Pivot Tables in Excel

    Module I, Introduction to Business Analytics: Data Summarization, Data visualization – Various visualization techniques, standardized reporting and Pivot Tables – Using Excel

    Introduction to Pivot Tables, Charts, and Dashboards in Excel (Part 1)· Excel Campus - Jon· 15 min

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  4. 4

    Data Mining Process and Data Warehousing

    Module II, Data Mining: Introduction to Data Mining, Crucial processes in data mining, Data Warehousing

    Data Warehouse and Data Mining, Information management· DWIVEDI GUIDANCE· 9 min

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  5. 5

    Data Mining Techniques and EDA with XLMiner

    Module II, Data Mining: Data Mining Techniques and Exploratory Data Analysis, Data Mining Tool – XL Miner

    Data Mining Definition and CRISP-DM· OMega TechEd· 12 min

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  6. 6

    Decision Trees, Risk Profiles and Sensitivity Analysis

    Module III, Decision Making & Optimization: Decision making under uncertainty – Decision Trees and Risk Profiles, Sensitivity Analysis

    Decision Analysis 3: Decision Trees· Joshua Emmanuel· 3 min

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  7. 7

    Linear Programming for Business Decisions

    Module III, Decision Making & Optimization: Optimizing complex decisions – Optimization of a large number of decisions while accounting for different kinds of physical and business decisions, Introduction to Optimization Techniques – Linear Programming

    Linear Programming Introduction· Online Business Analytics· 16 min

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  8. 8

    Excel Solver: Marketing Mix, Capital Budgeting, Portfolio

    Module III, Decision Making & Optimization: Optimization – Use of Excel to solve business problems like marketing mix, capital budgeting and portfolio optimization

    Solver: Optimizing Financial Decisions using Analytics· Cutler Center for Investments and Finance· 9 min

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  9. 9

    Big Data in Business: Benefits and Privacy Risks

    Module IV, Big Data and Introduction to R: Introduction to Big Data, Big Data driven decisions in business organizations – Benefits and Security/Privacy concerns

    Ethical Insights: Big Data and Privacy, Navigating Benefits, Risks and Ethical Boundaries· University of St. Thomas | Minnesota· 11 min

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  10. 10

    Predictive Models and Logistic Regression

    Module IV, Big Data and Introduction to R: Building Business and Economic Models – Tools to leverage data for Prediction purposes, Logistic Regression

    StatQuest: Logistic Regression· StatQuest with Josh Starmer· 8 min

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  11. 11

    Machine Learning Basics: Supervised vs Unsupervised

    Module IV, Big Data and Introduction to R: Introduction to Machine Learning, Statistical Learning vs. Machine Learning, Major classes of Learning Algorithms – Supervised Vs Unsupervised Learning

    Supervised vs. Unsupervised Learning· IBM Technology· 7 min

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  12. 12

    Introduction to R Programming

    Module IV, Big Data and Introduction to R: Introduction to R Programing

    Complete Introduction to R Programming in Hindi | R Programming Tutorial for Beginners #1· WsCube Tech· 9 min

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  13. 13

    Regression in R Hands-On

    Module V, Simulation using R and Excel: Hands on Regression using R

    Part 15. Simple/Multiple Linear Regression in R· Morpho Prof· 20 min

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  14. 14

    Building a Simulation Model in Excel and R

    Module V, Simulation using R and Excel: Introduction to Simulation, Applications of Simulation and Building a Simulation Model (Using Excel and R)

    Monte Carlo Technique: How to perform Business Simulations & Assess Projects Profitability | Excel· KRISHNA CHIDDARWAR· 5 min

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  15. 15

    Business Analytics Capstone Project

    Module V, Simulation using R and Excel: Capstone Project

    Google Data Analytics Professional Certificate Capstone Case Study In Excel· Matt Brattin· 23 min

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Assignment

Analytics Decision Pack: Should BrightBrew Launch a New Café Outlet?

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What you get

Less scrolling. More passing.

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    Hand-picked video lessons

    15 short lessons, each with the best YouTube explanation we could find, trimmed to the part that matters.

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    Study notes

    15 lessons come with a summary, key points, key terms and takeaways for quick revision.

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    Quizzes

    75 questions across the course, with the right answer and why, the moment you pick.

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    Assignments

    1 subject assignments with clear tasks, so you practise what each subject actually asks of you.

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    Notebook

    Write notes beside the video, stamped with the exact time, and jump back to that moment later.

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    Progress that follows you

    Completed lessons, quiz scores and where you stopped, saved to your account on every device.

  • Live chat pass

    Live chat

    A members-only live chat beside every lesson: doubts, tips, stickers and GIFs with your batch. One ₹19 pass opens every live chat.

Members only

The Online MBA live chat. Study together, live.

A live chat right beside the video, shared by everyone studying Online MBA. Ask a Business Analytics doubt mid-lesson, share a shortcut, celebrate a finished semester.

  • Live chat beside every lesson
  • One live chat for all of Online MBA
  • Members-only stickers & GIFs
  • One ₹19 pass opens every live chat
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More from Online MBA Semester 2

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Business Analytics: common questions

This subject introduces business analytics, covering descriptive, predictive and prescriptive analytics, data mining, decision trees, optimization with linear programming, big data, machine learning basics, regression and simulation using Excel, XL Miner and R. After it, you will be able to summarize and visualize business data, build and interpret decision, optimization and regression models, and run simple simulations to support decisions in marketing, finance, HR and operations. It's the Business Analytics subject of Online MBA, Semester 2, in 15 lessons: What Is Business Analytics? Data-Driven Decisions; Descriptive, Predictive and Prescriptive Analytics; Data Visualization and Pivot Tables in Excel; Data Mining Process and Data Warehousing; Data Mining Techniques and EDA with XLMiner; Decision Trees, Risk Profiles and Sensitivity Analysis; Linear Programming for Business Decisions; Excel Solver: Marketing Mix, Capital Budgeting, Portfolio; Big Data in Business: Benefits and Privacy Risks; Predictive Models and Logistic Regression; Machine Learning Basics: Supervised vs Unsupervised; Introduction to R Programming; Regression in R Hands-On; Building a Simulation Model in Excel and R; Business Analytics Capstone Project.

Yes. Every video lesson is free to watch without an account. A free login unlocks study notes, quizzes, the assignment, a notebook and progress that syncs across devices.

About 2h 41m of video across 15 lessons, plus time for notes and quizzes. Go at your own pace; your place is saved.

Yes: “Analytics Decision Pack: Should BrightBrew Launch a New Café Outlet?”. It comes after the last lesson, with a brief, clear tasks and how the work is judged.

A members-only live chat beside the video, shared by everyone studying Online MBA, where learners ask doubts, share tips and react with stickers and GIFs. One ₹19 pass, paid once from your InsideEdge wallet, opens the live chat for every degree.

No. It's a crash course to help you understand and revise the subject quickly. Use it alongside your official study material and assignments.

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