Duration 2 days – 14 hrs
Overview
The Power BI Advanced Training Course is designed for professionals who already have foundational Power BI experience and are ready to elevate their skills to expert-level reporting, modeling, and analytics. This course focuses on advanced data modeling, DAX optimization, visualization techniques, Power Query transformations, security configuration, and Power BI Service automation and governance.
Participants will work through practical, real-world scenarios to create efficient data models, craft powerful DAX expressions, optimize performance, secure datasets, and automate report workflows enabling them to confidently deliver enterprise-grade analytics solutions.
Objectives
- Build optimized data models using star/snowflake schema, composite models, and many-to-many relationships.
- Apply advanced DAX functions including CALCULATE, FILTER, time intelligence, variables, and filter modifiers.
- Use best practices to achieve performance-efficient data models and DAX calculations.
- Design dynamic, interactive dashboards with custom visuals, advanced themes, tooltips, and drill-through pages.
- Perform complex transformations using Power Query M code, dynamic parameters, and advanced data shaping techniques.
- Clean, restructure, merge, and unify multiple data sources.
- Configure Row-Level Security (RLS) and troubleshoot common security issues.
- Publish, collaborate, and manage content in Power BI Service and Workspaces.
- Set up scheduled refresh, gateways, and understand content distribution options.
- Explore advanced enterprise capabilities such as deployment pipelines, REST API, governance, and usage monitoring.
Audience
- Data Analysts and Business Analysts
- BI Developers and Data Engineers
- Power BI Intermediate Users aiming to reach advanced competency
- IT professionals supporting BI initiatives
- Reporting Analysts, Financial Analysts, and Operations Analysts
- Anyone responsible for designing, managing, or optimizing Power BI solutions in an organization
Pre- requisites
- Basic to intermediate Power BI knowledge
- Experience creating reports, dashboards, and simple DAX formulas
- Understanding of basic data modeling concepts
- Power BI Desktop installed on their laptop
- (Optional but recommended) Access to a Power BI Pro or Premium license for hands-on with Power BI Service features
Course Content
Advanced Data Modeling & DAX Fundamentals
Session 1: Advanced Data Modeling
- Data Relationships (One-to-many, Many-to-many)
- Composite Models
- Star Schema and Snowflake Schema
- Using Calculated Columns vs Measures
- Hierarchies and Drill-Downs
Session 2: Advanced DAX Functions
- CALCULATE and FILTER Functions
- Time Intelligence in DAX
- Advanced Filtering Techniques (ALL, ALLEXCEPT, etc.)
- Variables in DAX
- Handling Errors and Missing Data in DAX
Session 3: Optimizing Data Models for Performance
- Best Practices for Data Modeling
- Performance Tuning DAX Queries
- Data Load Optimization
- Aggregations and Storage Modes (Import, Direct Query)
- Identifying and resolving common Power BI Errors
Visualizations & Power Query Advanced Techniques
Session 1: Advanced Visualization Techniques
- Custom Visuals from the Marketplace
- Dynamic Reports and Dashboards
- Conditional Formatting and Advanced Themes
- Drill through and Tooltip Pages
- Power BI Visual Interactions and Filters
Session 2: Power Query Advanced Transformations
- Advanced M Code for Custom Data Transformations
- Combining Data from Multiple Sources (Joins, Unions, Appends)
- Handling Data Quality Issues (Nulls, Errors, Duplicates)
- Grouping, Pivoting, and Unpivoting Data
- Dynamic Parameters and Functions
Session 3: Integrating Power BI with Other Tools
- Using Power BI with Excel and SharePoint
- Connecting Power BI to Azure Services
- Embedding Power BI Reports in Web Applications
- Power Automate Integration for Report Automation
Security, Automation, and Power BI Service
Session 1: Row-Level Security (RLS) in Power BI
- Understanding RLS and Security Roles
- Creating and Managing Row-Level Security
- Dynamic RLS with DAX Filters
- Testing and Troubleshooting RLS
Session 2: Power BI Service and Collaboration
- Publishing Reports and Dashboards to Power BI Service
- Sharing and Collaborating with Workspaces
- Power BI Apps and Content Packs
- Setting up Scheduled Refresh and Alerts
- Power BI Gateway Configuration
Session 3: Advanced Power BI Features & Automation (Optional, Power BI License Required)
- Power BI REST API for Custom Integrations
- Power BI Deployment Pipelines
- Power BI Template Files and Templates
- Automated Reporting with Power BI Service
- Best Practices for Governance, Monitoring, and Managing Power BI in an Organization
- Conclusion & Q&A
