I teach Data Analytics & AI to beginners across Africa. No jargon. No gatekeeping. Just practical skills that get you hired and paid. | Founder @pureQuery
Joined October 2012
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5 Ways To Become A Badass Data Analyst In Less Than 100 Days From The Comfort Of Your Bedroom...
If you read to the end, you will surely unlock your potential to become a recruiter-wanting data analyst
Follow @data_chieff
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Nobody is going to give you experience
But you can build the proof that makes experience irrelevant
The biggest lie told to Nigerian data analysts is that you need a job to build experience and experience to get a job
That loop keeps talented people stuck. A portfolio break it
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Showing you can do it is immediately differentiating because 60% of a real analyst's job is exactly this.
One strong portfolio project will beat a 2-year experienced analyst with a generic CV every single time.
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Experience is proof you have solved a problem before.
A portfolio is proof you can solve it now.
Recruiters care about the second one more than the first. Which project are you building first?
Drop it below. And if you want step-by-step guidance building any of these DM
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The most dangerous place to build wealth in Nigeria is a salary job
Your income has a ceiling. Your time belongs to someone else. One restructuring email ends everything you spent 5 years building
But nobody talks about this because the salary feels safe
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A Nigerian with Power BI, SQL, and a portfolio will out earn a fresh graduate with a 2:1 in Economics every single time
The degree gets you the interview
The skill gets you the job
The portfolio gets you the salary
Unis are still teaching theory while companies are hiring proof.
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Be honest.
Which tool scares beginners the most?
Excel
SQL
Power BI
Python
Reply with just one answer
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A beginner who builds projects will beat an expert who only watches tutorials.
Stop collecting certificates.
Start creating:
✓ Sales dashboards
✓ Customer churn analysis
✓ HR analytics
✓ Financial reports
Projects get interviews.
What project are you currently working on?
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If I had to start Data Analytics again in 2026, I'd do this:
Month 1: Excel
Month 2: SQL
Month 3: Power BI
Month 4: Python
Month 5: Projects
Month 6: Portfolio Applications
Simple.
No overwhelm.
Which stage are you currently in?
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Most people think they need a Computer Science degree to break into tech.
You don't.
Many successful Data Analysts started with:
• Excel
• SQL
• Power BI
• Python
Consistency matters more than credentials.
What's stopping you from starting your data journey today?
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Most Nigerian data analyst CVs look the same.
That's why most Nigerian data analysts don't get hired.
I've seen hundreds. And I'll tell you exactly what they all have in common:
Proficient in Excel, SQL, Power BI, and Python"
BSc in Statistics or Computer Science
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Remove the "objective statement" it wastes the most valuable space on the page
Your CV is not a list of what you know. It is proof of what you have done with what you know.
Be honest
which of these mistakes is on your CV right now?
Drop it in the comments.
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And if you want help building the portfolio that makes your CV impossible to ignore that's what we do at PureQuery.
DM me.
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