DAX (Data Analysis Expressions) Training
Introduction to DAX
Learn the fundamentals of DAX (Data Analysis Expressions), a powerful formula language used in Microsoft Power BI, SQL Server Analysis Services (SSAS), and Excel PowerPivot for creating custom calculations and aggregations in data models.
DAX Syntax and Basic Functions
Explore the syntax and basic functions of DAX. Understand how to use DAX functions to perform simple calculations, create measures, and work with basic aggregation and filtering functions.
Data Types and Calculations
Study different data types supported by DAX and how to perform calculations with them. Learn about numeric, text, date, and boolean data types, and how to manipulate them in your DAX expressions.
Working with Tables and Relationships
Learn how to work with tables and relationships in DAX. Understand how to create calculated columns, work with related tables, and use DAX functions to manage and analyze data relationships.
Advanced DAX Functions
Explore advanced DAX functions for more complex calculations and data manipulation. Learn about time intelligence functions, statistical functions, and functions for working with context and filtering.
DAX Context and Evaluation
Understand the concept of context in DAX and how it affects the evaluation of expressions. Learn about row context, filter context, and how to use DAX functions to control and manipulate context in calculations.
Optimization and Performance
Study techniques for optimizing and improving the performance of DAX calculations. Learn about best practices for writing efficient DAX code, managing large datasets, and troubleshooting performance issues.
Building and Using Measures
Learn how to create and use measures in DAX. Understand how measures differ from calculated columns, how to use them in reports and dashboards, and how to implement common business metrics and KPIs.
Practical Examples and Case Studies
Engage with practical examples and case studies to apply DAX concepts. Work on real-world scenarios to develop and refine your DAX skills, create custom calculations, and solve data analysis challenges.
Certification and Career Development
Prepare for DAX-related certifications and advance your career in data analysis and business intelligence. Get guidance on study resources, exam preparation, and career development strategies for roles involving DAX.
DAX (Data Analysis Expressions) Syllabus
Introduction to DAX
- Overview of DAX and its role in data analysis
- Key features and benefits of using DAX
- Understanding DAX syntax and operators
DAX Basics
- Introducing DAX data types (numeric, text, Boolean, datetime)
- Creating basic calculated columns and measures
- Understanding evaluation context in DAX
DAX Functions - Basics
- Introduction to DAX functions (scalar vs. table functions)
- Commonly used scalar functions (e.g., SUM, COUNT, AVERAGE)
- Using basic table functions (e.g., FILTER, ALL, VALUES)
Advanced DAX Functions
- Statistical functions in DAX (e.g., MINX, MAXX, MEDIANX)
- Time intelligence functions (e.g., TOTALYTD, SAMEPERIODLASTYEAR)
- Advanced table functions (e.g., RELATEDTABLE, CROSSJOIN)
Calculated Columns vs. Measures
- Differences between calculated columns and measures
- Best practices for choosing between columns and measures
- Performance considerations in DAX calculations
DAX Patterns and Techniques
- Common DAX patterns for solving business problems
- Implementing hierarchical calculations (parent-child relationships)
- Implementing custom calculations using DAX
Handling Errors and Exceptions in DAX
- Managing errors in DAX formulas
- Using IFERROR and ISERROR functions
- Error handling best practices
DAX in Power BI
- Integrating DAX with Power BI Desktop
- Creating calculated columns and measures in Power BI
- Optimizing DAX performance in Power BI reports
DAX in Excel Power Pivot
- Introduction to Excel Power Pivot and DAX integration
- Building data models with DAX in Excel
- Leveraging DAX for advanced data analysis in Excel
Advanced Data Modeling with DAX
- Creating complex relationships in data models
- Implementing role-playing dimensions
- Best practices for optimizing data models with DAX
DAX and Data Visualization
- Using DAX to enhance data visualization in Power BI
- Integrating DAX calculations with visualizations
- Implementing dynamic reporting with DAX
DAX Best Practices and Performance Tuning
- Best practices for writing efficient DAX formulas
- Techniques for improving DAX query performance
- Monitoring and optimizing DAX calculations
Advanced DAX Scenarios
- Implementing advanced calculations (e.g., advanced aggregation)
- Solving complex business scenarios with DAX
- Real-world applications and case studies
Integrating DAX with SQL and M
- Combining DAX with SQL queries in Power Query Editor
- Using DAX and M (Power Query) for data transformation
- Advanced integration scenarios
DAX in Analysis Services (SSAS)
- Overview of DAX in SQL Server Analysis Services (SSAS)
- Building tabular models with DAX expressions
- Deploying and managing DAX models in SSAS
DAX Security and Role-Based Access
- Implementing row-level security with DAX
- Managing access control and permissions
- Best practices for securing DAX models
Ethical and Legal Considerations
- Ethical implications of data analysis with DAX
- Legal aspects and compliance (e.g., data privacy laws)
- Privacy and data protection considerations in DAX
Emerging Trends in DAX
- Advances in DAX technologies and methodologies
- Future directions and innovations in DAX
- Predictions for the evolution of DAX capabilities
Capstone Project (if applicable)
- Design and implementation of a DAX-driven analysis solution
- Project-based learning with mentorship and feedback
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details