If you’ve read my blog for any amount of time, you’ll see I’m a big fan of helping analysts mix, match and augment their analytics stack. Heck, I’ve even written a book on how to learn Python and R as an Excel user.
I’m excited that my next project involves R for Power BI users, in partnership with the fantastic Enterprise DNA learning community.
In preparation for this course series, I had a great conversation with Enterprise DNA’s Chief Content Officer Brian Julius and Python for Power BI instructor Gaelim Holland. In this discusion, we reviewed the decision of which language to choose, when in your Power BI journey is the appropriate time to begin that study, where learning SQL plays into this, and more.
Catch the discussion on YouTube: 👇
Watch out for my course to drop very soon. In the meantime, Gaelin has a Python for Power BI Users course available on Udemy.
What questions do you have about incorporating R and/or Python into your Power BI work and analytics toolkit in general? Are there specific scenarios or use cases you’re considering? Let’s talk in the comments.
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