Good morning,
Day 4/30 of the TS Academy challenge is already challenging me. ๐
Yesterdayโs Data Analytics class was fun, even though I could only stay for about 20 minutes before an urgent matter came up.
Glad I showed up. Looking forward to the next class! ๐@TechSphereAcad
Day 3/30 of @TechSphereAcad learning challenge. Here we go data analytics class start today officially 6pm ๐ canโt wait ๐ to see how it unfolds!!
Sometimes you understand the lesson, sometimes you get confused. ๐ Thatโs learning! The important thing is to keep showing up, asking questions and practising. One step at a time. ๐@TechSphereAcad
Learning something new can sometimes feel like a lot. One minute you're excited, the next you're wondering if you'll ever get the hang of it. ๐
But here's the thing: you don't have to learn everything at once or get everything right immediately.
As Aurora classes kick off this week, here's your reminder to take it one lesson at a time, practise consistently, and give yourself room to grow.
You've got this, techies!
My Data Analytics classes at TS Academy begin November 11. Iโm excited, a little nervous, but ready for the journey. I donโt expect to know everything immediately. Iโm here to learn, practise, make mistakes and grow. One step at a time! ๐โค๏ธ@TechSphereAcad
Completed my TS Academy orientation! ๐บ Today, our 30-day learning challenge begins. Ready to learn, make mistakes, grow and document every step. To my Aurora Cohort, letโs LOCK IN! ๐๐ #DataAnalytics@TechSphereAcad
Good morning, X! โ๏ธโค๏ธ
New week, new opportunities to grow. ๐ฑ
May we find strength, make progress, embrace new opportunities, and receive blessings in all we do. ๐๐ฝ
One step at a time. We keep growing! โค๏ธ
Good morning, pal! โ๏ธ
Here I come again, disciplining myself to show up as a beginner in Data Analytics ๐๐
Iโm here to learn, contribute, build, document my progress, share my frustrations and anxiety, and celebrate the outcome of each lesson.
May Allah help me! ๐๐ฝ
Iโm starting my journey into Data Analytics.
Iโm still very much a beginner, and honestly, thereโs a lot I donโt understand yet.
But Iโve learned something already,i donโt have to know everything before I start.
For now, Iโm learning, practicing, making mistakes and document
If you want to become a top 1% data analyst and earn well, start skill stacking and niching down.
โ Your niche is the PROBLEM you solve
โ Your skill stack is HOW you solve it
โถ What is Niching Down?
Stop telling clients "I analyse data for anyone."
Pick an industry and learn their specific problems:
โ๏ธ E-commerce: Focus on churn, lifetime value (LTV), and ad spend return (ROAS).
โ๏ธ SaaS: Focus on monthly recurring revenue (MRR), user onboarding drop-off, and feature retention.
โ๏ธ Healthcare / Logistics / Real Estate: Learn their specific metrics and regulations.
โถ What is Skill Stacking?
Skill stacking is when you combine different skills to create a unique advantage.
Let me give you an example.
Imagine two data analysts.
โค Analyst A knows Excel, SQL, and Power BI.
โค Analyst B knows Excel, SQL, Power BI, business thinking, sales and marketing, automation and storytelling.
Both can analyze data.
But Analyst B can also connect the numbers to business problems, explain what the findings mean, help people make decisions, help them get and retain customers and also automate the boring parts for the business.
Can you see the difference?
The skills you combine can change the kind of problems you're able to solve.
Now, does this mean you should learn 20 different skills at once. Absolutely not. ๐
Here's what I'd do if I were starting my data analytics journey today.
โ๏ธ Step 1: Learn the core tools. Excel, SQL, and Power BI.
โ๏ธ Step 2: Learn how businesses work. Understand revenue, costs, customers, and the problems companies are trying to solve.
โ๏ธ Step 3: Pick a direction. Maybe sales analytics, marketing analytics, or customer analytics.
โ๏ธ Step 4: Stack skills that help you solve problems in that direction. Learn storytelling, business thinking, automation, content writing or statistics as your work demands.
That's how you build depth without limiting your curiosity.
Your niche gives people a reason to hire you and your skill stack helps you deliver the work effectively.
Now tell me something: are you currently stacking skills or are you still trying to figure out which one you're supposed to stick with? Let me help you.
Found this helpful? Save and share it to help other newbie data analysts who needs it.
I'll see you in the next one.
โ You're welcome!
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ยฉ๏ธ Goodness | The Digitor
I'm a Growth Data Analyst and Strategist for E-commerce Brands and Iโm on a mission to help newbie data analysts go from shy, confused, broke and invisible, to confident, skilled, paid and positioned for global opportunities.
Become a data analyst as a newbie and busy professional with clarity, free resources, mentorship, project briefs and an accountability partner for 6 months: https://t.co/qTETvDhEPh
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