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Duration 21 hours
Course Outline
Introduction
- An overview of Power BI and its critical role in data analysis
- Understanding the synergy between Power BI, SAP, and AI tools
- Key advantages of leveraging Power BI for business intelligence
- Exploring real-world use cases and practical applications
Fundamentals of Data Analysis for Decision-Making
- Introduction to core data analysis principles
- Identifying relevant business data for analysis
- Interpreting data and applying analytics techniques
- Utilizing data analysis for effective problem-solving
- Constructing data-driven arguments for business decisions
Installation and Configuration of Power BI
- Downloading and installing Power BI Desktop
- Setting up Power BI Service and reviewing licensing options
- Configuring initial workspaces and user settings
- Establishing connections between Power BI and cloud or on-premise data sources
Data Connection and Import Processes
- Connecting to common data sources such as Excel, SQL, and Web
- Establishing connections between Power BI and SAP Business One
- Importing data into the Power BI environment
- Utilizing Power Query for data cleaning and transformation
Data Modeling within Power BI
- Core concepts of data modeling
- Creating and managing relationships between tables
- Adding measures to Power BI models
- Developing calculated columns and tables
- Introduction to DAX (Data Analysis Expressions)
- Writing DAX formulas in Power BI with the assistance of ChatGPT or Copilot
- Leveraging AI to build efficient data models using ChatGPT
Developing Visualizations and Dashboards
- Exploring the various types of visualizations in Power BI
- Creating charts, tables, and interactive reports
- Applying report filters within Power BI
- Using AI for efficient dashboard creation with Copilot
- Customizing visualization styles and dashboard layouts
- Best practices for effective data storytelling
Publishing and Sharing Dashboards
- Publishing reports to the Power BI Service
- Exporting dashboards to various formats and sharing via the web
Best Practices and Optimization Strategies
- Optimizing data models and visualizations for performance
- Troubleshooting and resolving common performance issues
- Updating and maintaining reports over time
- Managing workspaces and semantic models in Power BI
- Exam preparation tips for the "Microsoft Certified: Power BI Data Analyst Associate"
Summary and Future Steps
Requirements
- A foundational grasp of business intelligence concepts
- Proficiency in Microsoft Excel
- Familiarity with database and table structures
Target Audience
- Business intelligence professionals looking to integrate Power BI with SAP
- Data analysts aiming to elevate reporting with AI-driven insights
- Decision-makers seeking to optimize data-driven strategies within their organizations
Testimonials (2)
The exercise and Q&A
Aristantia
Course - SAP MM
passion of the trainer, kindness and good in working with a team.
