Business Analytics (BA) is the process of using data, statistical analysis, and machine learning techniques to make data-driven business decisions. It helps organizations optimize operations, improve customer experience, and gain a competitive advantage.
Week-1. Introduction to Business Analytics
Overview, Importance, Applications in Industry
Week-2. Data Analytics & Visualization
Descriptive Analytics, Data Cleaning, Visualization Tools (Excel, Power BI, Tableau)
Week-3. Statistical Analysis
Probability, Hypothesis Testing, Regression Analysis
Week-4. Data Handling with SQL
Data Extraction, Joins, Aggregations, Stored Procedures
Week-5. Predictive Analytics
Linear & Logistic Regression, Time Series Forecasting
Week-6. Data-Driven Decision Making
Decision Trees, Random Forest, Clustering
Week-7. Business Intelligence Tools
Power BI, Tableau, Google Data Studio
Week-8. Automation in Analytics
Python for Business Analytics, Pandas, NumPy
Week-9.Case Study - Retail & E-commerce
Customer Segmentation, Sales Forecasting
Week-10. Case Study - Finance & Banking
Risk Analysis, Fraud Detection
Week-11. Big Data & Cloud Analytics
Hadoop, Spark, AWS, Google BigQuery
Week-12. AI & Generative AI in Business Analytics
LLMs, Chatbots, Automation
Week-13.Capstone Project - Part 1
Problem Definition, Data Collection
Week-14.Capstone Project - Part 2
Model Building, Insights & Deployment