Explore the Best Way to Learn DAX for Power BI

The business intelligence industry, projected to reach $63.20 billion by 2032 from a $34.82 billion market in 2025 [1], provides technological tools and expertise to help companies leverage data for improved decision-making and to overcome business challenges, ensuring they achieve their goals. One notable tool in this space is Microsoft’s Power BI, which enables analysts to uncover insights and foster a data-driven culture. Learning Power BI and its features, including Data Analysis Expressions (DAX), a comprehensive library of functions and operators that enhance the tool’s capabilities, can help you advance your career, particularly in industries increasingly focused on business intelligence solutions, such as finance, information technology, retail, manufacturing, and health care.

Discover the best way to learn DAX for Power BI for you and explore how you can use this feature to enhance your career prospects. 

What is DAX for Power BI?

DAX is the formula language of Power BI, enabling the data modeling tool to extract new information and insights from your existing data set. Designed for analysts and developers, this library allows you to combine over 250 functions and operators to build formulas and expressions to address custom calculations and data analysis challenges without requiring manual workarounds. DAX offers options to analyze your data across various categories, date ranges, and more, allowing you to gain new insights. These insights can help you generate and answer specific questions, potentially leading to practical solutions you hadn’t previously considered.

What is DAX used for? DAX functions in Power BI with examples

DAX, with its extensive collection of predefined functions, enables various types of data analysis, such as percentage and total calculations, custom aggregate creation, and data filtering and sorting. These functions perform calculations using specific values in a defined order. In DAX, you can access nine categories of functions: date and time, time intelligence, information, logical, mathematical, statistical, text, parent/child, and other. Each category contains numerous functions that can help you create powerful formulas. The following examples showcase real-world solutions, highlighting the practicality of DAX functions.

• Date and time: You might use the DAY function to extract the day from a sales date column, helping you spot which days of the month generate the highest sales. 

• Time intelligence: You can use the DATESBETWEEN function to filter your sales data and analyze revenue generated between the start and end dates of promotions.

• Information: You can use ISLOGICAL to validate that a column titled “Is Active Customer”, for example, contains only TRUE or FALSE values before you calculate active customer counts. This helps you avoid incorrect results if the column accidentally contains unexpected text or is left blank.

• Logical: Use the AND function to filter your data so you can only see customers who purchased this month and spent more than a certain amount, helping you target buyers more effectively.

• Mathematical: To prevent imported sales dates that look like dates but are actually stored as text from causing calculation or filtering issues, you can use the CONVERT function to transform them to a true date data type.

• Statistical: You might use the PERCENTILE.EXC function to find the sales amount that marks the top 10 percent of your transactions, helping you identify and create special offers for customers who place orders at or above that amount.

• Text: Use the SUBSTITUTE function to replace outdated product names in your sales reports with the new branding. 

• Parent/Child: You can use the PATH function to help build a hierarchical organizational chart of who works under whom within your company.

These examples illustrate just a small portion of what you can do with DAX functions in Power BI. As you learn more about the myriad functions available, you will likely gain the skills to create formulas using many different functions. 

What is the best way to learn DAX for Power BI?

Depending on your skill level and commitment, you can learn DAX for Power BI through various methods, including participation in user communities, online courses, certificate programs, and certification preparation courses. Familiarity with the fundamentals of measures, calculated columns, and using Power BI Desktop to import data and add fields to reports will likely make learning DAX easier. While not essential, you can also benefit from prior experience with Microsoft Excel formulas.

An effective way to learn DAX for Power BI is to jump in and create basic formulas using actual data, allowing you to see the results firsthand. You can find a tutorial, complete with an example workbook, on Microsoft’s Learn website to get you started. The key is to practice, making the best way to learn DAX for Power BI for you a learning platform you enjoy and want to engage with.

Join the Microsoft Power BI community.

Power BI forums provide a platform to connect, learn, and discuss solutions with other users. You can access tutorials and demos in the gallery, share your ideas, and vote for future Power BI features in the community’s ideas section. Additionally, you can find monthly updates outlining new features and explore the Power BI updates blog.

Take an online course.

Microsoft offers several beginner and intermediate learning options, with many modules and courses taking less than two hours to complete, allowing you to practice Power BI and enhance your skills without a significant time commitment. These options are more structured and specific than the tutorial. Consider the following options specifically geared toward DAX:

• Use hierarchies and DAX in your first data model

• Write DAX formulas for Power BI Desktop models

• Use DAX time intelligence functions in Power BI Desktop models

Consider the Microsoft Power BI Data Analyst series of learning paths for a more comprehensive practice course. This three-day option may be a good choice if you want to learn about various methods and best practices for modeling, visualizing, and analyzing data with Power BI.

Additionally, you can learn DAX for Power BI through a Guided Project or course on Coursera. The following options offer opportunities to practice DAX specifically, with some also included in more in-depth offerings if you want to expand your learning further:

• Power BI for Beginners: Interactive Dashboard Fundamentals 

• Data Storytelling with Power BI from Edureka and Veranda Enterprise

• Insights of Power BI from Fractal

• Data Preparation and Visualization with Power BI from Packt

• Power BI Desktop-Query Editor Master Data Transformation from Board Infinity

Earn certificates. 

You can earn Professional Certificates and Specializations related to DAX and Power BI on learning platforms like Coursera. These programs enhance your learning and allow you to earn a credential to showcase on your resume. The following is a sampling of the various options available on Coursera:

• Data Visualization Professional Certificate from Microsoft

• Data Science Professional Certificate from Fractal

• Power BI and Power Platform for Productivity Specialization from Microsoft

• BI Essentials for Finance Analysts (Power BI Edition) Specialization from the Corporate Finance Institute

Get certified.

As an intermediate-level certification, the Microsoft Certified: Power BI Data Analyst Associate credential is an excellent option to verify your proficiency in Power Query and DAX. Microsoft offers certification exam preparation options, including a training course, practice assessment, experience demonstration, and exam preparation videos, which, depending on your needs, may be the best way to learn DAX for Power BI before taking the certification exam.

Jobs that use DAX in Power BI

Once you’ve identified the best way to learn DAX for Power BI, you may want to seek a position where you can apply your new skills. Analysts, in general, can expect strong job growth in the foreseeable future and salaries that exceed the average for all occupations, with business intelligence analysts earning an average annual salary of $93,923 [2]. Other roles where you can likely use your Power BI DAX skills include:

• Power BI analyst: $87,076 [3]

• Power BI consultant: $104,575 [4]

• Power BI developer: $109,611 [5]

• Financial analyst: $84,915 [6]

Learn DAX for Power BI with Coursera

Depending on your skill and commitment level, you can likely find a suitable option to learn DAX for Power BI. Consider user communities, courses, certificate programs, and certification preparation courses as you look for the best way to learn DAX for Power BI. To begin, you can explore how to prepare Excel data for Power BI analysis, form data models using the Star schema, perform calculations in DAX, and more in Microsoft’s Power BI Data Analyst Professional Certificate program, available on Coursera.