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Business Analytics Course [2025] | Master Business Strategy & Data-Driven Decisions
Business Analytics Course [2025] | Master Business Strategy & Data-Driven Decisions
Curriculum
7 Sections
34 Lessons
10 Weeks
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Section 1: Introduction to Business Analytics
6
1.1
What is Business Analytics? | Definition, Types, Benefits & Examples [2025]
1.2
Lesson 1.2 – Business Analytics vs Data Analytics vs Data Science
1.3
Lesson 1.3 – Applications of Business Analytics | Real-World Examples Across Industries
1.4
Lesson 1.4 – Types of Business Analytics
1.5
Lesson 1.5 – The Analytics Lifecycle | From Problem to Action
1.6
MCQs on Types & Applications of Business Analytics | Test Your Knowledge
20 Questions
Section 2: Business Foundations
5
2.1
Lesson 2.1 – Business Functions Overview | Marketing, Finance, HR & Operations
2.2
Lesson 2.2 – Key Performance Indicators (KPIs) and Metrics | Business Analytics Essentials
2.3
Lesson 2.3 – Decision-Making with Analytics | Data-Driven Business Decisions
2.4
Lesson 2.4 – Business Problem Framing | Defining Analytics Problems Clearly
2.5
MCQs on Business Functions, KPIs, Decision-Making with Analytics, and Problem Framing
20 Questions
Section 3: Data Handling & Preparation
5
3.1
Lesson 3.1 – Understanding Data (Types & Sources) | Business Analytics Basics
3.2
Lesson 3.2 – Data Collection Methods | Surveys, Databases, APIs & More
3.3
Lesson 3.3 – Data Cleaning Techniques | Handling Missing Values, Duplicates & Outliers
3.4
Lesson 3.4 – Exploratory Data Analysis (EDA) | Patterns, Relationships & Insights
3.5
MCQs on Data Handling & Preparation
20 Questions
Section 4: Statistics for Business Analytics
6
4.1
Lesson 4.1 – Descriptive Statistics | Mean, Median, Variance & Standard Deviation
4.2
Lesson 4.2 – Probability & Distributions | Probability Basics, Bayes & Key Distributions
4.3
Lesson 4.3 – Hypothesis Testing | Null vs Alternative, p-Value, and Business Applications
4.4
Lesson 4.4 – Regression Analysis | Linear & Logistic Regression with Business Examples
4.5
Lesson 4.5 – Introduction to Time Series Analysis | Components, Methods & Business Applications
4.6
MCQs on Statistics for Business Analytics
20 Questions
Section 5: Tools for Business Analytics
7
5.1
Lesson 5.1 – Excel for Analytics | Pivot Tables, Charts & Functions for Business Analysis
5.2
Lesson 5.2 – SQL for Business Analytics | SELECT, JOIN, GROUP BY & HAVING
5.3
Lesson 5.2.2 — JOIN, GROUP BY, HAVING
5.4
Lesson 5.2.3 — Performance, Pitfalls, Exercise, Takeaways, CTA
5.5
Lesson 5.3 – Power BI & Tableau for Dashboards | Build Actionable Business Dashboards
5.6
Lesson 5.4 – Python Basics for Analytics | Pandas, NumPy & Matplotlib Explained
5.7
MCQs on Tools for Business Analytics
20 Questions
Section 6: Predictive & Prescriptive Analytics
6
6.1
Lesson 6.1 – Introduction to Machine Learning in Business | Applications & Types
6.2
Lesson 6.2 – Linear & Logistic Regression Models | Business Analytics Applications
6.3
Lesson 6.3 – Decision Trees & Random Forests | Business Applications & Practical Guide
6.4
Lesson 6.4 – Clustering for Customer Segmentation | K-Means & Business Applications
6.5
Lesson 6.5 – Prescriptive Analytics & Optimization | Business Applications
6.6
MCQs on Predictive & Prescriptive Analytics
20 Questions
Section 7: Business Analytics Applications
6
7.1
Lesson 7.1 – Marketing Analytics | Customer Segmentation & Campaign Analysis
7.2
Lesson 7.2 – HR Analytics | Employee Retention & Performance Tracking
7.3
Lesson 7.3 – Financial Analytics | Profitability & Risk Analysis
7.4
Lesson 7.4 – Operations & Supply Chain Analytics | Inventory, Logistics, Forecasting
7.5
Lesson 7.5 – Case Studies in Business Analytics | Netflix, Walmart, Flipkart, Zomato
7.6
MCQs on Business Analytics Applications
20 Questions
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