Excel DAX for Beginner and Data Analyst : Tutorial 01

Hits: 109

Free eBooks for Beginners

DAX, or Data Analysis Expressions, is a formula language that is used in Microsoft Excel to perform data analysis and calculation. It is a powerful tool that allows data analysts to perform complex calculations and manipulate data in a way that is not possible with traditional Excel formulas.

DAX is designed specifically for data analysis, and it provides a wide range of functions and operators that are optimized for this purpose. For example, DAX includes functions for performing statistical analysis, calculating running totals, and manipulating dates and times. It also provides functions for working with text and conditional statements, making it a versatile tool for data analysis.

One of the key advantages of using DAX is that it is easy to learn and use, even for beginners. If you have experience with Excel formulas, you will find that DAX is similar in many ways, and you can start using it right away. However, DAX also provides advanced features that are not available in traditional Excel formulas, making it a powerful tool for experienced data analysts as well.

Another advantage of using DAX is that it is highly scalable and flexible. You can use DAX to perform calculations on large data sets, and it is also compatible with other data sources, such as databases and data warehouses. This means that you can use DAX to analyze data from a wide range of sources, and you can easily switch between data sources as your needs change.

In conclusion, DAX is a powerful formula language that is used in Microsoft Excel for data analysis and calculation. It is designed specifically for data analysis, and it provides a wide range of functions and operators that are optimized for this purpose. DAX is easy to learn and use, even for beginners, and it is highly scalable and flexible, making it a versatile tool for data analysts. Whether you are a beginner or an experienced data analyst, learning how to use DAX in Excel is a must-have skill that will help you to be more effective and efficient in your work.

Excel DAX for Beginner and Data Analyst : Tutorial 01

 

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

Download PDF [365.44 KB]

Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

95% Discount on “Projects & Recipes, tutorials, ebooks”

Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included: Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.

Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners