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

  • Basic understanding of business intelligence concepts
  • Proficiency in Excel
  • Familiarity with database and table structures

Audience

  • Business intelligence professionals seeking Power BI and SAP integration
  • Data analysts looking to enhance reporting with AI-powered insights
  • Decision-makers optimizing data-driven strategies in their organizations
 24 Hours

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