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Power BI Advanced

Master Power BI’s advanced features such as DAX formulas and data modeling for reporting.

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

  1.  Elevate your Power BI expertise through this advanced training program.

  2. Master the creation of intricate, interactive dashboards and execute advanced data transformations with Power Query and DAX.

  3. Develop skills in integrating Power BI with various data sources for enhanced functionality.

  4. Optimize report performance to ensure efficient data visualization and analysis.

  5. Implement advanced analytics techniques to extract valuable insights from your data.

CERTIFICATION:

  1. Earn a Certified Advanced Power BI Analyst credential, showcasing your ability to create high-performing dashboards and perform advanced data analytics.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

  1. Utilize DAX for sophisticated data modeling to create calculations and tailored metrics.

  2. Employ Power Query for intricate data cleansing and transformation processes.

  3. Develop dynamic dashboards featuring advanced visualizations and personalized themes.

  4. Connect Power BI with SQL, Azure, and additional data platforms for efficient data integration.

  5. Enhance Power BI reports for improved performance and scalability while applying row-level security (RLS) for audience-specific data access.

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Course Curriculum

Advanced Data Modeling
  1. Understanding Advanced Relationships
    • Many-to-many relationships and bidirectional filtering.
    • Using calculated tables for custom relationships.
  2. Data Modeling Best Practices
    • Optimizing models for performance.
    • Star schema design vs. snowflake schema.
  3. Using DAX (Data Analysis Expressions)
    • Advanced DAX functions: CALCULATE(), ALL(), FILTER(), RELATED().
    • Creating advanced measures and calculated columns.
    • Working with time intelligence functions (YTD(), QTD(), MTD()).
Power Query and Data Transformation
  1. Advanced Power Query Techniques
    • Using M Language for custom queries.
    • Parameterizing queries for dynamic data loads.
    • Automating repetitive transformations.
  2. Complex Data Transformations
    • Pivoting and unpivoting data.
    • Merging and appending queries.
    • Handling complex hierarchies and nested data.
Advanced Visualizations
  1. Customizing Built-in Visualizations
    • Layering visuals for storytelling.
    • Conditional formatting for dynamic visuals.
  2. Creating Custom Visuals
    • Installing and using custom visuals from AppSource.
    • Introduction to R and Python visuals in Power BI.
  3. Dynamic and Interactive Dashboards
    • Creating drillthroughs and bookmarks.
    • Linking multiple reports with dynamic filters.
    • Building tooltips for enhanced interactivity.
Power BI and Advanced Analytics
  1. Integrating R and Python
    • Installing R and Python in Power BI.
    • Running scripts for statistical analysis and data manipulation.
    • Creating advanced visualizations with R and Python libraries.
  2. Statistical Analysis with Power BI
    • Performing regression analysis and clustering.
    • Using What-If parameters for sensitivity analysis.
  3. Machine Learning Integration
    • Connecting to Azure Machine Learning models.
    • Deploying predictive models in Power BI.
Performance Optimization
  1. Optimizing Data Models
    • Reducing dataset size with aggregations.
    • Using DirectQuery, Import, and Composite modes efficiently.
  2. Improving Report Performance
    • Minimizing query execution time.
    • Identifying bottlenecks with Performance Analyzer.
  3. Data Refresh Optimization
    • Incremental data refresh setup.
    • Automating refresh schedules in the Power BI service.
Power BI Service and Deployment
  1. Publishing Reports
    • Configuring datasets, workspaces, and apps in the Power BI service.
    • Setting up row-level security (RLS).
  2. Collaboration and Sharing
    • Creating shared datasets for team collaboration.
    • Sharing dashboards securely across an organization.
  3. Paginated Reports
    • Designing paginated reports with Power BI Report Builder.
    • Exporting and scheduling paginated report deliveries.
Advanced Features and Integrations
  1. Power BI Embedded
    • Embedding Power BI reports in custom applications.
    • Configuring APIs for programmatic access.
  2. Integrating Power BI with Other Tools
    • Connecting Power BI with Microsoft Teams and SharePoint.
    • Using Power Automate for workflows.
    • Integrating Power BI with SQL Server, Azure, and third-party tools.
  3. Real-Time Data Streaming
    • Setting up real-time dashboards.
    • Working with push datasets and streaming datasets.
Capstone Project
  1. End-to-End Power BI Project
    • Importing, transforming, and modeling complex data.
    • Creating advanced visualizations and reports.
    • Deploying reports with real-time data updates.

Training Features

Hands-on Projects

Real-world use cases such as sales performance dashboards, predictive analytics, and financial reports.

Advanced Analytics Tools

Integration with R, Python, and Azure Machine Learning.

Performance Tuning

Techniques to optimize dashboards and data models for enterprise-scale datasets.

Real-Time Dashboards

Creating dashboards that handle real-time data streaming.

Collaboration Features

Learn how to share, collaborate, and deploy reports securely in Power BI Service.

Certification

Earn an advanced certification to showcase expertise in Power BI.

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