Course Overview
Course Description
This intensive 5-day course provides a comprehensive introduction to business intelligence (BI) data analysis and reporting techniques. Participants will learn to collect, analyze, and visualize data using industry-standard BI tools. The course covers data warehousing, ETL processes, data modeling, and advanced reporting techniques to drive data-informed decision-making.
Learning Objectives
- Understand the fundamentals of business intelligence and its role in decision-making
- Master data collection, cleaning, and preparation techniques for analysis
- Learn to design and implement data warehouses and ETL processes
- Develop skills in data visualization and creating interactive dashboards
- Gain proficiency in using Power BI for advanced data analysis and reporting
Course Modules
Day 1: Introduction to Business Intelligence
- BI concepts and frameworks
- Data-driven decision making
- BI tools and technologies overview
- Introduction to Power BI
Day 2: Data Warehousing and ETL
- Data warehouse design principles
- ETL processes and best practices
- Data modeling techniques
- Implementing a data warehouse in Power BI
Day 3: Data Analysis Techniques
- Exploratory data analysis
- Statistical analysis for BI
- Predictive analytics basics
- Data analysis with DAX in Power BI
Day 4: Data Visualization and Dashboards
- Data visualization principles
- Chart types and their applications
- Interactive dashboard design
- Creating compelling visualizations in Power BI
Day 5: Advanced Reporting and BI Best Practices
- Advanced reporting techniques
- Data storytelling and presentation
- BI project management
- Best practices and future trends in BI
Practical Wins for Participants
- Create a fully functional data warehouse and ETL pipeline
- Develop an interactive BI dashboard using real-world data
- Perform advanced data analysis using DAX and Power BI
- Design and present a comprehensive BI report for decision-makers
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