Data Analysis Expressions DAX in Microsoft POWER BI

Overview

Data Analysis Expressions DAX in Microsoft POWER BI | Practical Examples What you'll learn:

Data Analysis Expressions DAXBusiness Analysts | Data Analysis Expressions DAXPractical Examples on DAXMicrosoft POWER BI | DAX Language Tips Data Analysis Expressions DAX in Microsoft POWER BI | Practical ExamplesData Analysis Expressions (DAX) ReferenceData Analysis Expressions (DAX) is a library of functions and operators that can be combined to build formulas and expressions in Power BI, Analysis Services, and Power Pivot in Excel data models.Data Analysis Expressions (DAX) is a programming language that is used throughout Microsoft Power BI for creating calculated columns, measures, and custom tables. It is a collection of functions, operators, and constants that can be used in a formula, or expression, to calculate and return one or more values.

You can use DAX to solve a number of calculations and data analysis problems, which can help you create new information from data that is already in your model.Data Analysis Expressions (DAX) is a programming language that is used throughout Microsoft Power BI for creating calculated columns, measures, and custom tables. It is a collection of functions, operators, and constants that can be used in a formula, or expression, to calculate and return one or more values.Why is DAX so important?

It's easy to create a new Power BI Desktop file and import some data into it. You can even create reports that show valuable insights without using any DAX formulas at all.MeasuresMeasures are dynamic calculation formulas where the results change depending on context.

Measures are used in reporting that support combining and filtering model data by using multiple attributes such as a Power BI report or Excel PivotTable or PivotChart. Measures are created by using the DAX formula bar in the model designer.A formula in a measure can use standard aggregation functions automatically created by using the Autosum feature, such as COUNT or SUM, or you can define your own formula by using the DAX formula bar.

Named measures can be passed as an argument to other measures.

Syllabus

• Introduction to Power BI and DAX
Overview of Power BI
Introduction to Data Analysis Expressions (DAX)
Importance of DAX in data analysis and reporting
• Getting Started with DAX
Basic DAX syntax and operators
Creating calculated columns and measures
Understanding row context and filter context
• Essential DAX Functions
Aggregation functions: SUM, AVERAGE, COUNT
Logical functions: IF, SWITCH
Text functions: CONCATENATE, FORMAT
Date and time functions: DATE, YEAR, MONTH
• Advanced DAX Concepts
Context transition and CALCULATE function
Relationships and cross-filtering
Using variables in DAX expressions
• Time Intelligence in DAX
Introduction to time intelligence
Year-to-date, quarter-to-date, month-to-date calculations
Rolling averages and moving totals
• DAX for Data Modeling
Creating relationships between tables
Understanding star and snowflake schemas
Using DAX to enhance data models
• Performance Optimization with DAX
Analyzing DAX query performance
Best practices for writing efficient DAX
Avoiding common pitfalls
• Practical DAX Examples
Building key performance indicators (KPIs)
Advanced reporting and analytics
Real-world scenarios and case studies
• DAX Practice and Troubleshooting
Hands-on exercises
Debugging DAX expressions
Resources for further learning
• Conclusion and Next Steps
Recap of key concepts
Continuing education and certification paths
Connecting with the Power BI community

Taught by

Rahim Zulfiqar Ali

Subjects

Business