Wikrena Institute · Live cohort
Become a Job Ready Data Analyst and Grow Your Career.
Learn Excel, SQL, Power BI, data storytelling and AI-assisted analysis, taught live on real African business data. You finish with a capstone project, a portfolio, and a Professional Diploma.
Next class starts23 September 2026
13 to 14 weeks · In person and online
Learning Data Analytics Is Not the Same as Being Job-Ready
There are thousands of tutorials, courses and certificates available online. Yet many aspiring data professionals finish them still asking:
Am I actually ready for a data job?
- You may know how to create an Excel formula.
- You may have watched dozens of Power BI tutorials.
- You may even have a certificate.
But can you take an unfamiliar dataset, identify what matters, analyse it, build a useful dashboard, and explain your findings to someone who needs to make a decision?
Can you confidently walk through that work in an interview?
That is the gap we are designed to help you close.
In practice
From Learning Tools to Solving Problems
At Wikrena Institute, we believe data analytics should be learned in context. You are not simply learning where to click in a software application.
You are learning how to think with data.
Throughout the programme, you will develop the ability to
- Understand and approach real-world business problems
- Clean, transform and analyse data
- Use Excel, SQL and Power BI to generate insights
- Build meaningful dashboards and reports
- Communicate your findings clearly
- Work on practical projects that demonstrate your capabilities
- Prepare yourself for data-related career opportunities
- Complete a capstone project on real data from your chosen industry track
The goal is simple
Knowing the tools
Knowing how to use them
The programme
What You Will Learn
Excel
Build the spreadsheet skills required to analyse, manipulate and communicate data effectively.
You will work with data using functions, formulas, pivot tables, data cleaning techniques and analytical approaches that reflect real-world use.
SQL
Learn how to work with data stored in relational databases.
You will develop practical SQL skills for querying, filtering, joining, aggregating and analysing data.
Power BI
Turn data into interactive dashboards and business intelligence reports.
Learn how to prepare data, model it, create meaningful visualisations and communicate insights through dashboards.
Data Storytelling
Good analysis is only valuable when people understand what it means.
Learn how to move from numbers and charts to a clear story that helps stakeholders understand the problem, the insight and the action that should follow.
AI-Assisted Analysis
Use AI to do the analysis faster and better, not to do it for you.
Learn how to bring generative AI and other AI tools into real analytical work: cleaning, exploring, drafting and checking. You finish able to use them well enough to judge when they are wrong, which is the skill that separates an analyst AI makes better from one it replaces.
And then
The capstone
One project, start to finish, that you keep.
Built on a real dataset in your chosen track: fintech, healthcare or retail. It is a requirement rather than an option, because a portfolio is what most employers ask to see first.
Industry tracks
FintechHealthcareRetail
Projects run on an industry track you choose. The tools are the same; the data, the questions and the vocabulary are the ones from the sector you want to work in.
What is included
What You'll Get
When you join the Wikrena Data Analytics Program, you get more than classroom instruction.
Expert Training
Practical training in Excel, Power BI, SQL, data storytelling and AI-assisted analysis.
Live, Interactive Classes
Learn through live sessions where you can ask questions, practise and engage with the learning process.
Hands-on Projects
Apply what you learn through practical projects designed to strengthen your analytical thinking and portfolio.
Portfolio Development
Build tangible evidence of your skills that you can use when pursuing opportunities.
Interview and Resume Preparation
Get support preparing yourself for the job search and presenting your experience effectively.
Industry-Recognised Certificate
Receive a Professional Diploma certificate from Wikrena Institute on successful completion of the programme.
Internship Access
Where placement opportunities exist through our network, enrolled students get first access. We do not guarantee a placement.
Data Lab Community
Six months of access to our Data Lab community, where alumni and current learners share work and answer each other.
Exclusive Resources and Tools
Continue learning with access to selected resources and tools after the programme ends.
Who Is This Program For?
This program is for you if you are:
A beginner
You want to start a career in data analytics but do not know where to begin.
A graduate
You want practical, employable skills that can complement your academic background.
A career changer
You want to transition into the growing world of data and analytics.
A professional
You want to develop stronger analytical capabilities and become more valuable in a data-driven workplace.
An aspiring data analyst
You have learned some of the tools already but still do not feel confident applying them to real-world problems.
How the Program Works
- 01
Learn
Develop the technical and analytical foundations you need to work with data.
- 02
Practise
Apply what you learn through exercises and practical tasks.
- 03
Build and Prepare
Work on real-world projects and develop evidence of your capabilities, then strengthen your portfolio, resume and interview readiness.
- 04
Launch
Take your skills into the market and start pursuing relevant data opportunities.
Learning is the beginning. Becoming capable is the goal.
The credential
A qualification somebody else can check.
You finish with a Professional Diploma from Wikrena Institute, assessed on continuous assignments and a capstone rather than a final exam, and carrying a credential ID.
A Wikrena Professional Diploma is a professional credential. It is awarded on assessed coursework and a capstone rather than an exam, and it carries an ID any employer can check in seconds. It belongs to the same family as the credentials issued by Google, Microsoft, CIPM and ICAN: evidence of what you can do, rather than an academic award. Wikrena Institute is a private professional training organisation registered as a limited liability company in Nigeria.
Check any Wikrena credential
Specimen527+
people have come through a Wikrena Institute cohort.
Three of them are quoted further down this page.
Who teaches it
Practitioners, and the same faces on every other page.
Chris Awoke
Co-Founder and Lead Faculty
Data professional, author of The Self-Taught Data Analyst, and educator.
Edikan Bassey
Data Analytics Faculty
Healthcare analyst and educator, teaching the next generation of analysts.
Goodness Oga
Project Management and Content Lead
Bridges strategy and execution so the programme delivers what it promises.
In their words
People who have already done it
The training was intense yet rewarding, and the support from the instructors and community kept me motivated. I apply those skills at work every day now, and they have changed both how I do my job and where my career is headed.
Mrs Ijeoma Eneh
Senior Systems Analyst · NCAA
I started unsure, but Wikrena Institute changed that. Through practical, hands-on training, I learned to confidently use Excel, MySQL, and Power BI to solve real problems. It shifted me from just learning to actually thinking and working with data.
Ruth Ugwu
Clinical Dietitian · Safari Pharmacy
Training at Wikrena feels like learning from someone who has actually been where you are. Chris and the team treat you like a professional in training, not just a student in a classroom, and that shift makes all the difference.
Samuel Ifebuche
Radiologist · Port Harcourt
The fee
₦200,000₦250,000
₦50,000 off the full fee. Paid once, not a subscription, and it covers the whole programme including the capstone and the career support afterwards.
You can also pay in two
Optional, not required. Pay the full fee above, or split it: ₦120,000 to start, then ₦80,000 25 days after the class begins. Message us and we will set that up.
Talk to us on WhatsAppQuestions
The things people ask before they pay.
No. The programme starts at the foundation and builds from there. If you can use a computer and you can commit to the schedule, you are ready. What it does assume is that you will do the work: this is taught live, with assignments that get marked.
We do not guarantee a job, and you should be careful of anyone who does. What we do is the part we control: you finish with a capstone project and a portfolio you can show, and ninety days of career support covering your CV, your LinkedIn and interview practice. We do not publish placement rates, because we do not yet have numbers we would stand behind.
Sessions are recorded and shared with your cohort, so nothing is lost. Attendance still matters: the live hour is where you can ask the question you are actually stuck on, and that is most of what you are paying for.
Yes, if you want to. It is optional: the button on this page pays the full fee in one go, which is the fastest way in. If you would rather split it, it is two payments, ₦120,000 to start and ₦80,000 due 25 days after the class begins. Message us on WhatsApp before you pay and we will set it up.
Our published terms allow a refund request within seven days of purchase, and before twenty five percent of the course content has been accessed. Write to billing@wikrena.com. The full wording is in the Terms of Use.
You get a confirmation email with your receipt and a one-use link that sets up your account, and somebody from Wikrena follows up personally. Before the first session we send the joining details and what to have ready. Nothing else is needed from you in the meantime.
The next class starts 23 September 2026.
13 weeks from now you will either have a portfolio or you will not. That is the whole of the decision.
- Fee
- ₦200,000
- Starts
- 23 September 2026
- Length
- 13 to 14 weeks
- Format
- In person and online
Applying takes about two minutes. You can pay the full fee or split it in two, and a real person follows up either way.