Data Analysis and data modellingmade easy with Data Analysis eXpressions. DAX can be used in Power BI, Power Pivot and Analysis Services.
- Introduction to DAX
Overview of DAX and its importance in data analysis
Differences between DAX, Excel formulas, and SQL
- DAX Syntax and Functions
Understanding syntax rules and function categories
Commonly used functions in DAX
- Calculated Columns and Measures
Distinction between calculated columns and measures
Creating and using calculated columns
Creating and using measures
- Data Types and Filtering
Exploring DAX data types
Using filter functions to refine data analysis
- Time Intelligence Functions
Introduction to time-related calculations
Using functions like DATEADD, SAMEPERIODLASTYEAR, and TOTALYTD
- Advanced DAX Concepts
Understanding context: row context vs. filter context
Leveraging context transitions and CALCULATE function
Working with variable functions for optimized calculations
- DAX Optimization Techniques
Best practices for writing efficient DAX
Mitigating common performance bottlenecks
- Practical Data Modelling
Designing data models with DAX in mind
Role of relationships in Power BI, Power Pivot, and SSAS
- DAX in Power BI
Implementing DAX calculations within Power BI reports
Utilizing DAX for dynamic reporting and user interactions
- DAX in Power Pivot for Excel
Integrating DAX within Power Pivot tables
Enhancing Excel-based data models with DAX
- DAX in SQL Server Analysis Services (SSAS)
Applying DAX within SSAS models
Deploying calculated measures and KPIs in SSAS
- Case Studies and Hands-On Projects
Real-world examples of DAX use cases
Guided projects to consolidate learning
- Review and Course Conclusion
Recap of key concepts
Final Q&A session to address student queries
- Additional Resources
Recommended readings and online resources for further learning
Community forums and networks for ongoing support and learning