picture your office.
there is a meeting happening right now.
someone pulls up a spreadsheet. numbers everywhere. the manager asks — what does this tell us?
silence.
then one person speaks. clearly. confidently.
“our revenue dropped 23% in Q3 because we lost our top three customers in Lagos. they all churned in August. if we recover just two of them we hit target by December.”
the room shifts.
everyone looks at that person differently now.
that person got promoted six months later.
i want to tell you something nobody told me when i was starting out.
data is being generated around you every single minute.
every purchase. every transaction. every delivery. every click.
all of it is being stored somewhere.
and right now in a company somewhere in Lagos or California, someone is trying to make a decision — do we hire more staff or automate? why are customers leaving? which product is actually selling?
the data has the answer.
the problem is most people in the room cannot read it.
THE LITERACY NOBODY TALKS ABOUT
we talk about reading literacy. we talk about financial literacy. nobody talks about data literacy.
but in 2025, data literacy is the difference between the person who gives opinions in meetings and the person who gives answers.
opinions can be argued with. answers backed by data cannot.
one of those people gets promoted. one gets hired for ₦400,000 a month while the person next to them earns ₦150,000 doing the same hours.
the difference is not intelligence. not connections. not a master’s degree.
it is the ability to open a dataset and tell a clear story from it.
(a small interlude)
i am writing this at 11pm on a Wednesday.
i just finished reviewing a student’s Power BI dashboard.
three months ago this person messaged me saying they had never touched Excel in their life. they were stuck in a banking job that paid just enough to be frustrating.
today they sent me a dashboard they built for their company.
nobody asked them to. they just saw a problem, pulled the data, and built something that answered it.
their manager shared it in an all-staff meeting.
they have a promotion review next month.
i keep that screenshot on my phone. it is the reason i do this.
why most people never actually learn it
here is what i see happen every time.
someone decides they want to learn data analysis.
they open YouTube. find a tutorial. it is four hours long. they watch 40 minutes and stop.
two weeks later they try again. same result.
they buy a Udemy course. complete 12%. life happens.
six months pass.
they still cannot write a SQL query. still cannot build a Pivot Table that means anything. still no portfolio.
they are not lazy. they are not unintelligent.
they are lost.
because YouTube gives you pieces. disconnected, scattered pieces with no structure, no order, no destination.
what it cannot give you is a path.
a beginning. a middle. an end.
a moment where you sit back and say — i built that. i understand this now. i am ready.
five things i wish someone told me when i was starting
1. start with Excel. not Python. not R. Excel is everywhere. every company uses it. master it first and everything else becomes easier.
2. your first project does not need to be perfect. it needs to exist. a messy dashboard you actually built beats a perfect certificate from a course you cannot explain.
3. SQL is not as hard as it looks. it is asking questions in a language a computer understands. most people are writing real queries within their first week.
4. your portfolio matters more than your certificate. certificates say you sat through something. a portfolio proves you can do something.
5. you do not need to learn everything. Excel. SQL. Power BI. master those three and you are competitive for roles paying well enough.
what nobody tells you about the job market
companies are drowning in data and running out of people who can read it.
i see job postings sit open for months because companies cannot find candidates with basic data skills. not advanced skills. basic ones.
this is not a saturated market.
this is an open door.
the people walking through it are not the most talented or the most connected. they are simply the ones who decided to start and did not stop.
the bottom line
every month you wait is a month someone else is building the portfolio you could have built. landing the role you could have landed.
the data is being generated whether you can read it or not.
the question is whether you will be the person in the room who can.
i am launching my Data Analysis course on the 25th July.
and i want to be clear about what this actually is.
this is not another YouTube playlist. this is not a course you buy, watch alone, and forget.
this is a full structured programme. and i am in it with you the entire way.
here is what you get when you join:
Excel — from zero to professional dashboards
SQL — query real databases, answer real business questions
Power BI — turn numbers into visuals that impress any hiring manager
Python — automate your work and level up your analysis
Assignments and Projects — you practise everything you learn
Portfolio and Resume — built by the time you finish
Community — private group of students on the same journey
Direct access to me — ask questions and i answer personally
I grade your work — real feedback on every assignment and project
you are not watching videos alone wondering if you are doing it right.
we are doing this together. every step. every project. every question.
It will be launched on the 25-7-2026
30% discount for those who buy in the first 3 days
see you SOON.
P.S. six months from now you will either have a portfolio and a new salary — or you will still be watching free videos wondering why nothing is changing. the difference is the decision you make today.
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