Advanced Analytics With Power Bi Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This advanced course on Power BI provides a comprehensive understanding of data analytics techniques for professionals aiming to master business intelligence and reporting. The curriculum spans approximately 10–12 weeks of self-paced learning, with a recommended commitment of 6–8 hours per week. Learners will progress through structured modules covering data modeling, DAX, visualization, and dashboard development, culminating in a final project using real-world datasets. Emphasis is placed on hands-on practice, enabling participants to build robust analytics solutions and optimize performance in Power BI.
Module 1: Introduction to Advanced Power BI
Estimated time: 10 hours
- Understanding the Power BI environment and tools
- Importing and preparing raw data
- Exploring advanced analytics features
- Setting up data models for analysis
Module 2: Data Modeling & Transformation
Estimated time: 15 hours
- Structuring data for efficient analysis
- Building relationships between datasets
- Using Power Query for data transformation
- Optimizing data models for performance
Module 3: DAX & Advanced Calculations
Estimated time: 15 hours
- Writing DAX formulas for analytics
- Creating custom measures and KPIs
- Performing time-based analysis
- Conducting statistical analysis using DAX
Module 4: Data Visualization & Dashboard Design
Estimated time: 15 hours
- Creating interactive dashboards and reports
- Designing user-friendly data visualizations
- Using filters, slicers, and drill-down features
- Communicating insights effectively through visuals
Module 5: Final Analytics Project
Estimated time: 10 hours
- Applying Power BI skills to real-world datasets
- Building a complete end-to-end analytics dashboard
- Presenting data-driven insights for decision-making
Prerequisites
- Familiarity with basic data analysis concepts
- Working knowledge of Power BI fundamentals
- Experience with data manipulation and reporting tools
What You'll Be Able to Do After
- Analyze complex datasets using Power BI
- Design and optimize efficient data models
- Create advanced DAX calculations and KPIs
- Build interactive, insightful dashboards
- Demonstrate expertise in advanced analytics solutions