Flowers

DataHour: Hands-on with Data Analysis Expressions(DAX) for Power BI

Online 12-07-2022 07:00 PM to 12-07-2022 08:00 PM
  • 6699

    Registered

  • Knowledge and Learning

    Prizes

DataHour Recording

About the DataHour:

Are you struggling to learn DAX (Data Analysis Expressions)? It is one of the most complex topics in Power BI - and yet it has a HUGE impact on your role. You cannot truly learn Power BI without learning DAX.

Whether you're sitting for an interview, or you're looking to enhance your existing Power BI skills, or you're simply looking to pick up a new tool for your skillset, this webinar is for you.

We will cover plenty of things, including:

  • Why is DAX so difficult to learn?
  • Calculated Columns vs. Measures
  • The Powerful CALCULATE function
  • Time Intelligence DAX
  • Tips, tricks and resources to learn DAX

Prerequisites: You need to have Power BI Desktop if you want to follow-along (or try it later). You can install it from here (it's free).

Who is this DataHour for?

  • Students and Freshers with an interest in Data Science and Visualization.
  • Data science professionals who want to accelerate their career growth

Speaker:

Pranav Dar

BI & Analytics - Trainer & Consultant

Pranav Dar is a Senior Consultant and Lead Instructor in the field of Business Intelligence. He has 11+ years of experience handling multiple Business Intelligence and visualization projects for Fortune 500 companies.

He has a passion for the art of data visualization and loves to experiment with different projects. He is the lead instructor for Power BI, Tableau, SQL, Excel and Alteryx, among other things.

You can follow him on Linkedin.

ALT

Please register/login to participate in the contest

Please register to participate in the contest

Please register to participate in the contest

Closed

Support

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.