Introduction to Power BI DAX Course Overview

Introduction to Power BI DAX Course Overview

The "Introduction to Power BI DAX" course is designed to equip learners with the knowledge and skills to harness the full potential of Data Analysis Expressions (DAX) in Power BI. This comprehensive course covers everything from the basics of DAX syntax to performing complex calculations and enhancing user experience. Through a series of structured modules, participants will learn to create calculated columns, measures, and tables, understand evaluation contexts, and work with variables and code commenting.

The course also delves into performing basic and advanced calculations, including error handling, iterator functions, table manipulation, and time intelligence functions. With advanced DAX training, students will learn to control measure visibility, implement What-if parameters, and secure data at the row level. This advanced DAX course is ideal for those looking to deepen their data analysis capabilities and fully leverage DAX within Power BI to drive powerful business insights.

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  • Live Online Training (Duration : 16 Hours)
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  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure that you can successfully undertake the Introduction to Power BI DAX course offered by Koenig Solutions, the following minimum prerequisites are recommended:

  • Familiarity with the basic concepts of data analysis and reporting
  • Fundamental knowledge of Microsoft Excel, including functions and formulas
  • Understanding of Excel data structures such as tables and cell references
  • Basic experience with data management and manipulation in Excel
  • An interest in learning how to perform advanced data analysis using DAX in Power BI

Please note that while these prerequisites are intended to provide a foundation for the course material, the course is designed to introduce DAX to those who may not have extensive prior experience. Our instructors are skilled at guiding learners through the content, ensuring comprehension regardless of skill level.

Target Audience for Introduction to Power BI DAX

  1. The "Introduction to Power BI DAX" course is designed for professionals seeking to master data analysis and reporting in Excel and Power BI.

  2. Target audience for the course:

  • Data Analysts
  • Business Intelligence Professionals
  • Excel Power Users
  • Business Analysts
  • Report Developers
  • BI Developers
  • Data Scientists (with a focus on visualization and reporting)
  • Data Stewards
  • IT Professionals looking to expand their skills in data analytics
  • Financial Analysts
  • Marketing Analysts
  • Project Managers (involved in data-driven projects)
  • Database Administrators wanting to learn reporting tools
  • Consultants providing services in business intelligence and data analysis
  • Professionals responsible for data visualization and dashboard creation in their organization

Learning Objectives - What you will Learn in this Introduction to Power BI DAX?

  1. Explore the foundations of DAX for Power BI, including syntax, calculations, data modeling, and advanced functions to empower data analysis.

  2. Learning Objectives and Outcomes:

    • Understand what DAX is and its role in data analysis within Power BI.
    • Learn the basic syntax of DAX and how to create calculated columns, measures, and tables.
    • Comprehend the differences and rules of evaluation contexts in DAX.
    • Master the use of variables, commenting, and code testing to write efficient DAX formulas.
    • Perform basic calculations, create quick measures, and apply logic to data analysis.
    • Gain knowledge on how to aggregate, summarize, and understand data types in DAX.
    • Develop skills in data modeling and learn how relationships affect DAX calculations.
    • Utilize functions like CALCULATE, RELATED, and RELATEDTABLE to modify context and look up data.
    • Perform advanced time-based calculations and learn to work with date tables for period comparisons.
    • Enhance user experience in reports using DAX for measure visibility, what-if analysis, and row-level security.