Online Course free
Introduction to DAX

with Dimitar Shutev

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

4.9

808 reviews on
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5185 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

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

Dimitar Shutev

Lead Software Engineer | Senior Data Analyst at EPAM Systems

Track record

Bringing real-world expertise from leading global companies

Company logo 1Company logo 2

Academic background

Bachelor's degree, Advertising and Marketing

Coventry University
Ask Dimitar a question
  • Course Overview
  • Accredited certificates
  • Career paths
  • How it works
  • Student reviews
  • Recommended courses

    • 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

    See more

    Curriculum

    22 lessons 1 exam

    Free preview

    Course intro

    1.1 Course intro

    2 min

    Calculated Columns

    1.2 Calculated Columns

    7 min

    Calendar Table

    1.3 Calendar Table

    16 min

    Building a Measure

    1.4 Building a Measure

    9 min

    Measures Table

    1.5 Measures Table

    5 min

    CALCULATE

    1.6 CALCULATE

    7 min

    Start for free

    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.

    Mattew M.

    Mattew M.

    Before 365: Mortgage Loan Officer | Movement Mortgage
    After 365: Compliance Analyst | Movement Mortgage

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    $29,000

    average salary increase

    after moving to an AI and data science career

    My background is industrial engineering. And I started my professional journey in sales. But I wanted a career that aligned with what I loved—technology and programming. 365 gave me everything: the structure, the mentorship, and the practical tools to switch. I started with math and stats, then moved on to SQL, Python, and building dashboards and apps at work. Today, I create tools that improve decision-making and manage data projects full-time—and I couldn’t be happier.

    Pedro A.

    Pedro A.

    Before 365: Industrial Engineer | NIBOL
    After 365: Data Manager | NIBOL

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    9 in 10

    people walk away career-ready

    with practical data and AI skills.

    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.

    Eugene G. A.

    Eugene G. A.

    Before 365: Environmental science | Ecological Nest
    After 365: Logistics analyst | Expeditors

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    94%

    of AI and data science graduates

    successfully change

    or advance their careers.

    ACCREDITED certificates

    Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

    Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

    Learn More
    • Institute of Analytics
    • The Association of Data Scientists
    • E-Learning Quality Network
    • European Agency for Higher Education and Accreditation
    • Global Association of Online Trainers and Examiners
    Learn More
    A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

    How it WORKS

    • Lessons
    • Exercises
    • Projects
    • Practice Exams
    • AI Mock Interviews

    Lessons

    Learn through short, simple lessons—no prior experience in AI or data science needed.

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    Exercises

    Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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    Projects

    Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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    Practice Exams

    Track your progress and solidify your knowledge with regular practice exams.

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    AI Mock Interviews

    Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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    Student REVIEWS

    A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.
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