Module 1: Introduction to Business Analytics & Intelligence

• Definition & Importance of Business Analytics
• Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
• Role of Business Intelligence (BI) in Decision-Making
• Data-Driven Culture & Analytics Adoption in Organizations

Module 2: Data Fundamentals for Business Analytics

• Understanding Structured vs. Unstructured Data
• Basics of Databases & SQL for Data Extraction
• Data Cleaning & Preprocessing Techniques
• Data Governance, Privacy & Ethics

Module 3: Statistical & Quantitative Analysis

• Basic & Advanced Statistical Concepts
• Hypothesis Testing & A/B Testing
• Regression Analysis (Linear & Logistic)
• Time Series Forecasting

Module 4: Business Intelligence (BI) Tools & Visualization

• Introduction to BI Tools: Power BI, Tableau, Google Data Studio
• Data Visualization Best Practices
• Dashboard Design & Interactive Reporting
• Real-Time Analytics & KPI Monitoring

Module 5: Predictive & Prescriptive Analytics

• Machine Learning Basics for Business Analytics
• Decision Trees, Clustering & Classification Models
• Sentiment Analysis & Customer Segmentation
• Prescriptive Models for Optimization & Decision-Making

Module 6: Big Data & Advanced Analytics

• Introduction to Big Data & Hadoop Ecosystem
• Cloud-Based Analytics (AWS, Azure, Google Cloud)
• Processing Large Datasets with Spark & Python
• NoSQL Databases & Data Lakes

Module 7: Data-Driven Decision Making & Strategy

• Business Use Cases of Analytics in Marketing, Finance, HR, & Supply Chain
• Measuring ROI & Performance Metrics
• Storytelling with Data for Executive Decision-Making
• Data Monetization Strategies

Module 8: AI & Automation in Business Intelligence

• AI-Powered Business Analytics & Predictive Modeling
• Natural Language Processing (NLP) & Chatbots in Analytics
• Automating Reports & Dashboards
• Ethics & Bias in AI-Driven Decisions