Duration 5 days – 35 hrs
Overview
This course provides participants with a complete learning journey from fundamental concepts to advanced techniques in Microsoft Power BI. Learners will gain the skills to connect, transform, model, and visualize data, as well as apply advanced DAX calculations and best practices for dashboard design. The course culminates in a real-world case study where participants create and present a fully functional Power BI dashboard based on given business requirements.
Objectives
- Understand the role and benefits of Power BI in modern data analysis and reporting.
- Apply the Power BI project lifecycle for efficient dashboard development.
- Clean, transform, and prepare data using Power Query.
- Design robust data models with relationships, schemas, and calendar tables.
- Apply effective data visualization principles to build professional dashboards.
- Write and use DAX functions for calculations, aggregations, and advanced analytics.
- Produce project documentation (BRD & technical docs) to support reporting projects.
- Explore prompt engineering and AI tools integration with Power BI.
- Develop and present a complete Power BI dashboard in a business case scenario.
Audience
- Business Analysts
- Data Analysts
- IT Professionals
- Reporting Specialists
- Project Managers handling data-driven projects
- Anyone interested in transforming raw data into actionable insights
Pre- requisites
- Basic understanding of Microsoft Excel (formulas, pivot tables, charts)
- Familiarity with databases and data concepts (helpful but not required)
- No prior Power BI experience required
Course Content
Part 1: Introduction to Power BI
- Definition of Terms
- Benefits of Power BI for report generation
- 3 parts of Power BI (Desktop, Service, Mobile)
- Navigating through the user interface
Part 2: Power BI Project Lifecycle
- Different approaches in Power BI Projects
- 4 Phases of Dashboard Development
Part 3: Power Query
- Loading Data
- Navigating the Power Query Interface
- Data Cleaning and Transformation
- Introduction to M Query
Part 4: Data Modeling
- Keys and Relationships
- Flat / Star / Galaxy Schema
- Data Normalization
- Creating a Calendar Table
Part 5: Data Visualization
- Principles of Data Visualization
- Best Practices in Dashboard Design
- Creating Simple Objects and Branding Elements
- Customizing Visualizations
- Using Slicers, Hierarchies, and Drill Down
- AI Tools Integration
- Analytics Pane in Visualizations
Part 6: DAX (Data Analysis Expressions)
- Calculated Measure vs. Calculated Column
- Aggregate Functions
- X-Aggregators
- Counting Functions
- Logical Functions
- Information Functions
- DIVIDE Function
- CALCULATE Function
- Utilizing VAR
- TEXT Functions
- Date Functions
- Table Functions
Part 7: Project Documentation
- Conducting Requirement Gathering
- Producing the Business Requirement Document (BRD)
- Producing Technical Documentation
Part 8: Miscellaneous
- Prompt Engineering for Power BI
- Microsoft Power BI Documentation and Online Resources
Part 9: Case Study
- Build your own dashboard based on provided business requirements
- Presentation and peer review of dashboards
