Module 1: Introduction to Business Intelligence
- What is Business Intelligence?
- Key Concepts: Data Warehousing, ETL, Reporting, Dashboards
- Importance of BI in Modern Organizations
- BI Tools and Technologies Overview
Module 2: Data Warehousing Fundamentals
- Introduction to Data Warehousing
- Data Warehouse Architecture and Design
- Dimensional Modeling: Star Schema, Snowflake Schema
- ETL (Extract, Transform, Load) Processes
Module 3: Data Modeling and Database Design for BI
- Relational Database Concepts
- Data Modeling Techniques for BI
- Normalization and Denormalization
- SQL for Data Retrieval and Manipulation in BI
Module 4: Business Intelligence Tools - Power BI
- Introduction to Microsoft Power BI
- Connecting to Data Sources
- Data Transformation with Power Query Editor
- Creating Reports and Dashboards
- DAX (Data Analysis Expressions) Fundamentals
Module 5: Business Intelligence Tools - Tableau
- Introduction to Tableau
- Connecting to Data and Building Visualizations
- Creating Interactive Dashboards and Stories
- Calculated Fields and Advanced Analytics in Tableau
Module 6: Data Visualization Best Practices
- Principles of Effective Data Visualization
- Choosing the Right Chart Types
- Designing Engaging and Informative Dashboards
- Storytelling with Data
Module 7: Data Mining and Predictive Analytics for BI
- Introduction to Data Mining Techniques
- Classification, Regression, Clustering
- Association Rule Mining
- Using BI Tools for Predictive Analytics
Module 8: Big Data and Business Intelligence
- Integrating Big Data with BI Systems
- Tools and Technologies for Big Data BI (e.g., Hadoop, Spark)
- Real-time Business Intelligence
- Challenges and Opportunities
Module 9: BI Strategy, Governance, and Ethics
- Developing a BI Strategy for an Organization
- Data Governance and Data Quality Management
- Ethical Considerations in BI and Data Analytics
- Future Trends in Business Intelligence
Module 10: Capstone Project and Case Studies
- End-to-End BI Project: From Data to Insights
- Real-World Case Studies in Business Intelligence
- Presenting BI Solutions and Recommendations
- Final Review and Q&A