How about a fun Excel challenge? I have data in below format in the table named trips I want to know which employees visited both USA & UK? How would you solve this problem? Post your solutions in the comments. Need sample data & my solution? Click here to download the file. Want more challenges […]

I recently interviewed people for Power BI analyst roles and here are my top 10 favorite questions to assess the skills (with answer cues).

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On the left side, we have a veteran warrior with 37 years of data battle scars and redundant six pack. They call him SQL.

On the right side, there is a young challenger with transformative powers and “never say undo” attitude. He goes by the moniker Power Query.

Who is going to win this battle?!?

Do you know that we can easily calculate the critical path for a project using Excel formulas?

For a long time, it has been tricky to calculate the Critical Path using Excel formulas. But thanks to the arrival of new Dynamic Array functionality in Excel, we can now calculate critical path. In this article let me describe the approach with an example.

Put on your hardhats, this one is going to blow your minds.

Recently I had to create a Pivot report from monthly data. But there is a twist. The data is spread across multiple sheets, one for each month. Let me explain how I built the pivot for that scenario.

Python ? is in Excel now! Learn how to use Python in Excel with Sample data, 10 Code Examples and tips with this complete guide.

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Power BI is one of the most prominent data analytics technology out there.

Power BI is also one of the most marketed and hyped technology out there.

Unfortunately, both of these statements are true.

In a world where data is the buzz word, Power BI (or other similar platforms like Tableau) appeal to CXOs as panacea for all their data troubles.

But, just as any technology, Power BI too has it’s own shortcomings. So in this episode of my podcast, let’s uncover 4 ugly truths of Power BI.