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Course Outline

Introduction

  • Overview of Power BI and its role in data analysis.
  • Understanding the integration of Power BI with SAP and AI tools.
  • Key benefits of using Power BI for business intelligence.
  • Exploring real-world use cases and applications.

Data Analysis Fundamentals for Decision-Making

  • Introduction to data analysis.
  • Identifying relevant business data.
  • Data interpretation and analytics.
  • Applying data analysis for problem-solving.
  • Building data-driven arguments.

Installing and Configuring Power BI

  • Downloading and installing Power BI Desktop.
  • Setting up Power BI Service and understanding licensing options.
  • Configuring initial workspace and user settings.
  • Connecting Power BI to cloud and on-premise data sources.

Data Connection and Import

  • Connecting to common data sources (Excel, SQL, Web, etc).
  • Connecting Power BI to SAP Business One.
  • Importing data into Power BI.
  • Using Power Query for data cleaning and transformation.

Data Modeling in Power BI

  • Fundamental data modeling concepts.
  • Creating and managing relationships between tables.
  • Adding measures to Power BI models.
  • Creating calculated columns and tables.
  • Introduction to DAX (Data Analysis Expressions).
  • Writing DAX formulas in Power BI (using ChatGPT/Copilot).
  • Leveraging AI to create efficient data models (ChatGPT).

Creating Visualizations and Dashboards

  • Types of visualizations in Power BI.
  • Creating charts, tables, and interactive reports.
  • Applying report filters in Power BI.
  • Using AI for efficient dashboard creation (Copilot).
  • Customizing visualizations and dashboard layouts.
  • Best practices for data storytelling.

Publishing and Sharing Dashboards

  • Publishing reports to Power BI Service.
  • Exporting dashboards to different formats and web sharing.

Best Practices and Optimization

  • Optimizing data models and visualizations.
  • Solving common performance issues.
  • Updating and maintaining reports.
  • Managing workspaces and semantic models in Power BI.
  • Exam preparation tips for "Microsoft Certified: Power BI Data Analyst Associate".

Summary and Next Steps

Requirements

  • Foundational knowledge of business intelligence concepts.
  • Proficiency in Microsoft Excel.
  • Familiarity with database and table structures.

Target Audience

  • Business intelligence professionals seeking to integrate Power BI with SAP.
  • Data analysts aiming to enhance reporting through AI-powered insights.
  • Decision-makers looking to optimize data-driven strategies within their organizations.
 21 Hours

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