- 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
Power BI is a business analytics tool developed by Microsoft that enables users to visualize data, share insights, and make data-driven decisions. In this course, participants will gain hands-on experience in data modeling, visualization, and AI-enhanced analytics, culminating in a real-world project. The course also provides guidance for the "Microsoft Certified: Power BI Data Analyst Associate" exam.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to gain a comprehensive understanding of Power BI, including its integration with SAP and AI tools to enhance data analysis and reporting.
By the end of this training, participants will be able to:
- Navigate Power BI’s interface and integrate it with SAP Business One.
- Import, clean, and transform business data for analysis.
- Build robust data models and apply DAX for in-depth insights.
- Create compelling visualizations and dashboards.
- Leverage AI tools like Copilot and ChatGPT for enhanced reporting.
- Publish, share, and manage Power BI reports effectively.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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
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