Coding is wild.
One day I feel like an idiot because something doesn't work right then the next day I feel like a genius for fixing the very bugs that caused it to not work right in the first place.
It's a rollercoaster of emotions.
If you're going to take or recommend testosterone therapy of any kind, you should watch this.
Hematocrit is the percentage of your blood that is red blood cells, essentially how thick and viscous your blood is. It costs a couple of dollars and it's on basically every blood panel ever run.
When you go on testosterone, your red blood cell count will very likely increase and, consequently, your hematocrit. That sounds great, and it's part of why you feel physically different and might experience an increase in energy. But it can get out of control fast.
Once you start getting north of 52 to 54 percent on hematocrit, you increase your risk of developing heart disease or suffering a serious cardiovascular event.
This is the cost of doing business with testosterone therapy. Pay attention to it.
When I started with Power BI, I thought I had to learn every DAX function.
I was wrong.
Almost every DAX function falls into one of 5 categories. Understand the categories, and any new function you meet will make sense quickly.
Each category has more functions than what's on the poster. I've picked the ones you'll actually use day-to-day.
Repost this for someone on your team who's learning DAX. It'll save them a lot of guesswork.
#PowerBI #DAX
I asked Imran Khan if he wants to become army chief of PM? We don’t have any fight with this establishment. @fawadchaudhry makes interesting disclosures in my podcast
You need to be lore-maxxing. Taking risks. Failing miserably. Relentlessly strategizing and experimenting. Nobody wants to die with a story that isn't worth telling.
Deloitte Data Analytics interviews aren’t just about SQL & Power BI.
You might be asked:
→ Sales dropped. Find the reason.
→ Revenue increased, but profit fell. Why?
→ Customers are churning. What would you analyze?
→ Two teams have different numbers. Which one is right?
→ Build a dashboard for the CEO. What KPIs would you show?
The real question behind all of these:
“Can you turn data into a business decision?”
Learn the tools.
But learn to think like a business analyst too.