Incredible doc!
Nigerian surgeon temporarily removes baby from womb at 23 weeks, removes tumor, then puts her back and she was born healthy at 36 weeks.
Hats off please!
@TechCrushHQ Thank you @TechCrushHQ for the love you have for all and i actually have the best tutors, tutor opeyemi oyeyemi and tutor matthew (mateo), God bless you both abundantly. Already introduced techcrush to two of my friends, they’ve registered for the next cohort and I’m glad😊❤️.
"When TechCrush Tutors finally explain the concept you've been struggling with for weeks... it's like a lightbulb moment so bright, you might need sunglasses! 🕶️💡 #TechCrush#Tech4Africans
TechCrush visibility challenge day 5.
The first day in class, this was me😩…
I know you’re sitting there staring at Excel wondering why nothing makes sense😂.
The formulas look foreign. Power BI feels like a different language. Words like data cleaning, cell referencing and
understand concepts you once Googled five times and still didn’t get.
Tech doesn’t require perfection. It just requires you to keep showing up.
To everyone just starting out — you are not behind. You are right on time.
Alhamdulillah for this journey.
more.
People celebrate the big wins but nobody talks about how much strength it takes to just keep going when everything around you is falling apart
That’s my win. And I’m proud of it🙏.
Alhamdulillah❤️.
#MyBiggestWin#DataAnalytics#techcrush#alhamdulillah
TechCrush Visibility Challenge Day 5.
The prompt says share your biggest win and honestly? My biggest win is simply SHOWING UP 🙏
I went through two of the hardest weeks of my life while doing this course.
I almost fell off completely; missed classes, missed posts, fell behind on
concepts.
But I still showed up to that quiz📝.
I still came back when life got heavy👊.
I still made it to one month🎉.
And somewhere in between all of that I learned:
✅ How to clean data in Excel.
✅ XLOOKUP, VLOOKUP & HLOOKUP.
✅ Statistics, sorting, filtering and so much
TechCrush visibility challenge, Day 4.
Let me teach you something I learned in my data analytics journey.
It’s called DATA CLEANING - and if you want to work with data, this is NON-NEGOTIABLE🚫.
So what is it?
Data cleaning is the process of fixing or removing incorrect,
twice?
🔹 Fix blank cells - missing values can mess up your results.
🔹 Correct spelling errors - “Lagos” and “lagoss” are not the same thing to Excel.
🔹 Fix inconsistent formats - dates, numbers and text need to be uniform.
Clean data = accurate insights.
Dirty data = wrong