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Power BI course offered by Ascent Software Training Institute

 Power BI course offered by Ascent Software Training Institute



Detailed Course Modules

  1. Module 1: Introduction to Power BI

    • Overview of Business Intelligence: Understanding BI tools and their importance in decision-making.
    • Power BI Introduction: Learn about Power BI Desktop, Power BI Service, and Power BI Mobile.
    • Installation and Setup: Step-by-step guide on installing Power BI Desktop and setting up your workspace.

  2. Module 2: Connecting to Data Sources

    • Data Connectivity: Learn how to connect Power BI to various data sources such as Excel, SQL Server, and cloud services like Azure.
    • Importing Data: Techniques for importing data from different sources into Power BI.
    • Direct Query vs. Import Mode: Understand the differences and when to use each method.

  3. Module 3: Data Transformation

    • Power Query Editor: Deep dive into data cleaning and transformation using Power Query.
    • M Language Basics: Introduction to M language for advanced data manipulation.
    • Data Shaping Techniques: Techniques for reshaping data to fit your analysis needs.

  4. Module 4: Data Modeling

    • Creating Data Models: How to create and manage data models in Power BI.
    • Relationships: Understanding and managing relationships between tables.
    • Star Schema Design: Best practices for designing a data model.

  5. Module 5: DAX (Data Analysis Expressions)

    • Introduction to DAX: Basics of DAX for creating calculated columns and measures.
    • Advanced DAX Functions: Exploring advanced DAX functions for complex calculations.
    • Time Intelligence in DAX: Using DAX to create time-based calculations like YTD, QTD, etc.

  6. Module 6: Data Visualization

    • Creating Visuals: How to create and customise various visual elements like charts, graphs, and maps.
    • Custom Visuals: Learn to use and implement custom visuals available in the Power BI marketplace.
    • Interactivity: Adding interactivity to reports with slicers, filters, and drill-through actions.

  7. Module 7: Power BI Service

    • Publishing Reports: How to publish reports to Power BI Service.
    • Workspaces and Apps: Managing work spaces and creating apps for report sharing.
    • Collaborative Features: Sharing, commenting, and collaborating on reports with your team.

  8. Module 8: Power BI Mobile

    • Mobile Report Design: Best practices for designing reports that look great on mobile devices.
    • Mobile App Features: Understanding the features and functionalities of the Power BI Mobile app.

  9. Module 9: Advanced Analytics

    • Integrating R and Python: How to use R and Python scripts in Power BI for advanced analytics.
    • AI Visuals: Exploring AI-driven visuals like Key Influences and Decomposition Tree.
    • Power BI and Machine Learning: Basics of integrating machine learning models with Power BI.

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