📍 Module 1: Introduction to Business Analytics

• What is Business Analytics?

• Importance of Analytics in Business Decision Making

• Types of Business Analytics: Descriptive, Predictive, Prescriptive

• Business Analytics vs. Data Analytics vs. Data Science

• Career Scope & Industry Applications

📍 Module 2: Excel for Business Analysis

• Excel Functions & Formulas for Analysts

• Data Cleaning, Sorting, Filtering

• What-If Analysis & Goal Seek

• Pivot Tables, Charts & Dashboarding

• Business Problem Solving using Excel

📍 Module 3: SQL for Data Analysis

• Introduction to Databases & RDBMS

• Writing SQL Queries

• Joins, Subqueries, Aggregations

• Real-World Business Scenarios using SQL

• Creating Views & Reports from SQL

📍 Module 4: Business Statistics & Analytics Concepts

• Measures of Central Tendency (Mean, Median, Mode)

• Dispersion (Variance, Std. Deviation)

• Hypothesis Testing

• Correlation vs. Causation

• Forecasting & Trend Analysis

📍 Module 5: Data Visualization with Power BI / Tableau

• Data Connection & Data Modeling

• Creating Interactive Dashboards

• Slicers, Filters, Drill-Downs

• KPI Representation & Business Dashboards

• Storytelling with Data

📍 Module 6: Python for Business Analytics (Optional/Advanced)

• Python Basics & Data Types

• Data Handling with Pandas

• Data Visualization with Matplotlib/Seaborn

• Business Analytics Use Cases in Python

• Exploratory Data Analysis (EDA)

📍 Module 7: Business Problem Solving (Case Studies)

• Sales Performance Analysis

• Customer Retention Strategy

• Marketing Campaign ROI Analysis

• Inventory & Supply Chain Optimization

• Profitability & Revenue Forecasting

📍 Module 8: Tools & Domain Applications

• CRM & ERP Systems (Salesforce/Zoho – Overview)

• BI Tool Integration (Power BI/Tableau + SQL)

• Analytics in BFSI, Retail, Healthcare, E-commerce

• Business KPIs by Department (Finance, HR, Sales, Ops)