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Course Outline
Introduction
- Overview of Power BI and its significance in data analysis
- Examining the integration of Power BI with SAP and AI technologies
- Key advantages of utilizing Power BI for business intelligence
- Exploring real-world applications and use cases
Data Analysis Fundamentals for Decision-Making
- Introduction to data analysis principles
- Identifying relevant business data sources
- Data interpretation and analytical techniques
- Applying data analysis for effective problem-solving
- Constructing data-driven arguments and narratives
Installing and Configuring Power BI
- Downloading and setting up Power BI Desktop
- Configuring Power BI Service and reviewing licensing options
- Setting up initial workspaces and user preferences
- Connecting Power BI to both cloud-based and on-premise data sources
Data Connection and Import
- Connecting to standard data sources (Excel, SQL, Web, etc.)
- Establishing connections between Power BI and SAP Business One
- Importing data into the Power BI environment
- Utilizing Power Query for data cleansing and transformation
Data Modeling in Power BI
- Core concepts of data modeling
- Establishing 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 (assisted by ChatGPT/Copilot)
- Using AI to build efficient data models (ChatGPT)
Creating Visualizations and Dashboards
- Exploring the various types of visualizations in Power BI
- Building charts, tables, and interactive reports
- Applying report filters effectively in Power BI
- Utilizing AI for streamlined dashboard creation (Copilot)
- Customizing visualization styles and dashboard layouts
- Best practices for effective data storytelling
Publishing and Sharing Dashboards
- Publishing reports to Power BI Service
- Exporting dashboards in various formats and sharing via the web
Best Practices and Optimization
- Optimizing data models and visual elements for performance
- Resolving common performance bottlenecks
- Updating and maintaining existing reports
- Managing workspaces and semantic models within Power BI
- Exam preparation strategies for the "Microsoft Certified: Power BI Data Analyst Associate" certification
Summary and Next Steps
Requirements
- A foundational understanding of business intelligence principles
- Proficiency in Microsoft Excel
- Familiarity with database and table structures
Target Audience
- Business intelligence professionals looking to integrate Power BI with SAP
- Data analysts seeking to augment their reporting with AI-driven insights
- Decision-makers aiming to optimize data-driven strategies within their organizations
21 Hours
Testimonials (2)
The exercise and Q&A
Aristantia
Course - SAP MM
passion of the trainer, kindness and good in working with a team.
