Duration 4 days – 28 hrs
Overview.
This Advanced Power BI Training course is designed to equip learners with advanced skills to create powerful data visualizations, perform complex data modeling, and apply advanced analytics techniques using Power BI. Participants will dive deep into Power BI’s features and capabilities, from optimizing data models to writing advanced DAX (Data Analysis Expressions) formulas, integrating multiple data sources, and automating reporting processes.
Objectives
- Create and manage complex data models with multiple tables and relationships.
- Write advanced DAX formulas for enhanced calculations and aggregations.
- Implement row-level security (RLS) and manage security in reports.
- Optimize Power BI reports and dashboards for performance.
- Integrate Power BI with other Microsoft tools (Excel, SharePoint, Azure, etc.).
- Automate reports and scheduling using Power BI Service.
- Apply advanced visualization techniques and custom visualizations.
- Use Power Query for advanced data transformation and data cleaning.
- Understand Power BI’s role in the larger ecosystem of business intelligence tools and processes.
Audience
- Data Analysts and Business Intelligence professionals looking to deepen their Power BI expertise.
- Advanced users of Power BI who want to master complex data modeling, DAX, and optimization techniques.
- BI developers and technical consultants who want to integrate Power BI into larger systems and workflows.
- IT professionals and anyone responsible for Power BI implementation or administration in an organization.
Pre- requisites
- Basic proficiency in Power BI Desktop (creating reports, basic data modeling).
- Familiarity with DAX for simple calculations and aggregations.
- Basic knowledge of data sources and data transformation using Power Query.
- A solid understanding of Microsoft Excel and fundamental business intelligence concepts.
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, DirectQuery)
Visualizations & Power Query Advanced Techniques
Session 1: Advanced Visualization Techniques
- Custom Visuals from the Marketplace
- Dynamic Reports and Dashboards
- Conditional Formatting and Advanced Themes
- Drillthrough 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
- 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
