Wikrena Academy

Learn practical skills. Build real capability.

Whether you're starting out, changing direction, or helping your organisation adapt, we teach the data and AI skills that solve real problems.

Nothing here is filler, and nothing is recycled. Every lesson is built around the skills you'll actually use on the job.

Join 527+ learners building skills for the future

Wikrena Academy learners and instructors during live training sessions
Live cohort in session
Portfolio project

Why Wikrena Academy?

Learning should change what you're able to do, not just what you know.

  1. 01

    Practical from day one

    Every lesson is designed around real business scenarios, not abstract theory.

  2. 02

    Learn with mentors

    Get direct guidance, feedback, and accountability throughout.

  3. 03

    Build real projects

    Graduate with work you can confidently show employers or clients.

  4. 04

    Career support

    CV reviews, interview prep, LinkedIn optimisation, and ongoing guidance.

  5. 05

    Learn with others

    Small cohorts, meaningful discussions, and a community that keeps you accountable.

  6. 06

    Built for Africa

    Examples, projects, and case studies reflect the realities of African businesses.

Our learning pathways

Choose the path that fits where you are.

Three programmes, one standard: you finish able to do the work, with something to show for it.

Popular

Data Analytics Professional Program

Master Excel, SQL, Power BI, Python, and business analytics through practical projects built around real-world scenarios.

You'll learn
  • Excel, SQL, Power BI & others
  • Data Storytelling
  • Business Analysis
  • Portfolio Projects
Duration
12–15 weeks
Format
Live cohort
Level
Beginner to advanced
Explore program

AI Business Automation

Discover how AI tools and automation platforms help organisations eliminate repetitive work, improve productivity, and create smarter processes.

You'll learn
  • AI Fundamentals
  • Workflow Automation
  • Zapier, n8n & others
  • Business Process Automation
Duration
8 weeks
Format
Live cohort
Level
Beginner to advanced
Explore program

Research & Data Analysis with SPSS

Designed for researchers, postgraduate students, academics, NGOs, and healthcare professionals who need practical statistical analysis.

You'll learn
  • Data Cleaning
  • Statistical Testing
  • Interpretation
  • Research Writing & Reporting
Duration
Flexible
Format
Self-paced
Level
Beginner to advanced
Explore program

What you'll be able to do.

Not what you'll have covered. What you'll be able to do on the Monday after you finish.

After Data Analytics Professional Program

  • Build executive dashboards that leaders use
  • Clean and analyse messy business data
  • Tell compelling stories with data
  • Write SQL queries to answer questions
  • Automate repetitive analysis tasks
  • Present insights that influence decisions

After AI Business Automation

  • Design AI-assisted workflows
  • Build automations with n8n & other emerging tools
  • Integrate AI into operations and reporting
  • Identify repetitive work to automate
  • Deliver measurable productivity improvements

After Research & Data Analysis with SPSS

  • Prepare data for statistical analysis
  • Run the right tests for your research
  • Interpret results with confidence
  • Write clear, professional research reports
  • Present findings accurately and effectively
How you'll learn

A structured experience, start to finish.

From the day you enrol to the day you land the work: five steps, none of them optional.

  1. Step 1

    Choose your program

    Pick the program that matches your goals and current level.

  2. Step 2

    Learn & engage

    Join live classes or learn self-paced with practical lessons and resources.

  3. Step 3

    Practice & build

    Complete assignments and projects using real business scenarios.

  4. Step 4

    Get feedback

    Receive mentor feedback and improve your skills along the way.

  5. Step 5

    Graduate & grow

    Build your portfolio, get career support, and land meaningful opportunities.

Learn from practitioners

Taught by people who do the work.

Our instructors are professionals who solve real-world problems every day.

More instructors

Learn from a team of experienced professionals across data, AI, and business strategy.

Meet the team
Students trained
527+Students trained
Complete their program
90%Complete their program
Apply skills at work
85%Apply skills at work
Average student rating
4.9/5Average student rating

The best investment I've made in my career. The projects, mentorship, and support helped me land my first data role.

Chidera E. · Data Analyst

Frequently asked questions.

Have more questions? hello@wikrena.com

Professionals starting a career in data, people changing industries, researchers who need to analyse their own data, and teams whose organisations are adapting to AI. You do not need to be technical to start. You need to be willing to work consistently.

No. All three programs are designed to be accessible from scratch. We start at the foundation and build from there. If you can use a computer and commit to the schedule, you are ready.

Yes. You receive a certificate of completion once you have finished the program requirements, including your projects. The portfolio you build matters more to employers than the certificate does, which is why the projects are the requirement.

Cohorts run on a live model: weekly sessions with your instructor, direct Q&A, and peer interaction. Sessions are recorded and shared. The SPSS program is the exception: it is self-paced by design, for learners who need flexibility.

Sessions are recorded and shared with your cohort, so nothing is lost. We do encourage consistent attendance, because the live interaction and instructor feedback are a significant part of what you are there for.

Yes. Talk to an advisor about the options for your program and we will find an arrangement that works. Cost should not be the reason you do not start.

Your future starts with one decision.

Explore our programs and take the next step in your career.