Power BI Masterclass [Video]

By Dan We
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  1. DAX, Excel, and More

About this video

Microsoft Power BI is an advanced yet easy-to-get-started self-service business analytics/business intelligence solution. Power BI is also a great tool for data science. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore, learning to use this tool can be a valuable skill for data science jobs.

This course is divided into six sections. We will first start with understanding DAX table calculations with Power BI Desktop and Excel and master DAX. In the second section, we will learn Microsoft Power BI tips and tricks from project experience and research. In the third section, we will be solving data prep challenges. In the fourth section, we will master advanced DAX calculations and build on your acquired knowledge from the prior sections.

In section five, we will be combining data science tools such as Python with Power BI. In the last section, we will cover Power BI best practices, Power BI Calculation Groups, Power BI Charticulator, Power BI performance tips, and Power BI AI.

By the end of this course, you will have the skills and capabilities to analyze and understand data with Power BI.

The complete course bundle is available at https://github.com/PacktPublishing/Power-BI-Masterclass

Publication date:
November 2021
Publisher
Packt
Duration
19 hours 24 minutes
ISBN
9781801070959

About the Author

  • Dan We

    Dan We is a 31-year-old entrepreneur, data scientist, and data analytics/visual analytics consultant. He holds a master’s degree and is certified in Power BI as a qualified associate in Tableau. He is currently working in business intelligence and helps major companies get key insights from their data to deliver long-term growth and outpace their competitors.

    He is committed to support other people by offering them educational services to help them accomplish their goals and become the best in their profession or explore a new career path.

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Power BI Masterclass [Video]
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