Online Course free
Introduction to DAX

Name: Introduction to DAX Course
Price: 36 USD

Learn the fundamentals of Microsoft’s native formula and query language DAX: Master essential techniques for powerful data analysis

4.9

868 reviews on

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5,806 students already enrolled

Skill level:

Intermediate

Duration:

3 hours

Lessons (3 hours)

CPE credits:

4

CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited

certificate

What you learn

Gain a comprehensive introduction to DAX for Power BI, Excel, and SQL Server.
Master DAX syntax to improve your data manipulation capabilities.
Build confidence writing DAX expressions for complex calculations and queries.
Leverage DAX to create sophisticated analytical reports in Power BI.
Boost your career by mastering a high-demand technical skill in data.

Topics & tools

DAXBusiness IntelligenceData ModelingData PreprocessingIndustry SpecializationData AnalysisPowerbi

Your instructor

Dimitar Shutev

Lead Software Engineer | Senior Data Analyst at EPAM Systems

Track record

Bringing real-world expertise from leading global companies

Academic background

Bachelor's degree, Advertising and Marketing

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Course overview

Accredited certificates

Course OVERVIEW

Description

CPE Credits: 4 Field of Study: Information Technology
Delivery Method: QAS Self Study

DAX (Data Analysis Expressions) is a formula and query language used in Power BI to create calculated columns, measures, and custom tables. Knowing how to use DAX will take your Power BI analysis skills to the next level. In this course, we will show you how to create custom functions, which will help you build sophisticated business reports in Power BI. DAX is easy to learn, especially if you have used Microsoft Excel in the past, as it includes some of the same functions. However, DAX also contains several functions that make the work with relational data easier.

Prerequisites

Microsoft Power BI Desktop (free version available at powerbi.microsoft.com)
Completion of an introductory Power BI course is required.

Advanced preparation

Power BI

Curriculum

22 lessons 1 exam

1. Introduction to DAX

205 min

This section lays the foundations of using DAX to gain complete control over your data.

205 min

This section lays the foundations of using DAX to gain complete control over your data.

Course intro Free

Calculated Columns Free

Calendar Table Free

Building a Measure Free

Measures Table Free

CALCULATE Free

FILTER vs KEEPFILTERS Free

Iterators Free

RELATED vs RELATEDTABLE Free

SELECTEDVALUE Free

DIVIDE Free

Logical Operators Free

Variables Free

TREATAS Free

SWITCH Free

Text Functions Free

CONCATENATEX Free

Time Intelligence Free

Expression Based Titles Free

Role Level Security Free

Calculation Groups Free

DAX assignment Free
2. Course exam

25 min

25 min

Course exam Free

Free lessons

1.1 Course intro

2 min

1.2 Calculated Columns

7 min

1.3 Calendar Table

16 min

1.4 Building a Measure

9 min

1.5 Measures Table

5 min

1.6 CALCULATE

7 min

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I’ve been with 365 Data Science for about two years, starting with the Business Analyst course and now working on Data Engineering. My Excel skills improved so much they helped me land two promotions, and my coding knowledge—especially in Python—has grown dramatically. The courses go deeper, helping me understand the mechanisms behind technology. With a set schedule and commitment, the results are real. I highly recommend 365 and look forward to continuing my learning journey.

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Before 365: Industrial Engineer | NIBOL

After 365: Data Manager | NIBOL

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365 Data Science gave me a strong foundation in SQL, Python, Excel, Power BI, and Tableau, turning abstract concepts into practical skills. These skills have been invaluable in my role at Expeditors, where I provide insights to improve efficiency and decision-making. The structured courses, real-world projects, and hands-on learning bridged the gap between theory and practice, giving me the confidence to apply data-driven solutions in a corporate environment. With 365, I’ve moved forward in my career—and I keep learning every day.