Python Skills Africa's
Data Employers Want
A focused 6-week intensive on Python for data — NumPy, Pandas, Matplotlib, and Seaborn. Go from zero coding experience to a job-ready portfolio that speaks for itself.
Duration
6 Weeks
Learning Mode
Online
Job Opportunities
Data & Analytics Roles
Alumni Rating
4.9 / 5 ★
Joined by 1,640+ Python analysts across Africa
4.9★
Highest-rated data course
Primary Language
The Python Course Built
for African Data Careers
Not a generic online tutorial. A six-week structured path from first script to polished portfolio.
Real African Data from Day One
Every dataset in this course comes from real, anonymised African businesses — retail, fintech, logistics, and healthcare. You learn in context, not in a vacuum.
Code, Not Theory
Every session is hands-on. You write code, break things, fix them, and understand why — the only way to actually learn Python for professional use.
Portfolio-First Capstone
Week 6 is a complete EDA project on a real dataset — cleaned, analysed, visualised, and written up in a Jupyter notebook ready to share with employers.
Data Science Entry Point
This course is the recognised foundation for Idealnovate's AI and Machine Learning track. Graduates have a clear, structured path into data science.
Libraries You'll Master
The exact Python stack used by data analysts and scientists at Africa's top companies.
Python
Core Language
Pandas
Data Manipulation
Matplotlib
Data Plotting
Seaborn
Statistical Viz
Jupyter
Interactive Notebooks
NumPy
Numerical Computing
All libraries introduced progressively across 5 modules — no prior coding experience required.
Where our alumni work
Practitioners Teaching
Practitioners
Every instructor is a working data professional who uses Python daily — analysts, engineers, and scientists from Africa's leading tech and finance companies.
- Weekly live coding sessions with practising data professionals
- Python help desk for debugging and concept questions
- Code review and feedback on your Jupyter notebooks
- Alumni network and hiring partner introductions
5 Modules.
One Stack.
From your first Python script to a complete data portfolio — in just 6 weeks of focused, applied learning.
Set up your Python environment and build confidence with core programming concepts — variables, loops, functions, and Jupyter Notebook workflows used by professional data analysts.
Master NumPy arrays — the foundation of all data science libraries in Python. Learn vectorised operations, broadcasting, and statistical computations on structured numeric data.
Pandas is the core tool for data manipulation in Python. You will clean, reshape, merge, and aggregate real datasets from African businesses using professional-grade techniques.
Build publication-quality charts and statistical plots. Learn to communicate findings visually using Matplotlib for control and Seaborn for statistical storytelling.
Apply every skill to a complete end-to-end exploratory data analysis on a real African business dataset. Build a polished Jupyter notebook portfolio project for employers.
What Makes
Us Different
Six weeks of focused Python — not a side module in a broader course. Everything is designed to get you from zero to portfolio-ready.
Real African Datasets
All exercises and projects use real, anonymised data from Nigerian, Kenyan, and Ghanaian businesses — so you understand the context, not just the code.
Live Code Reviews
Instructors review student code live in cohort sessions — the same code review culture used at top data teams globally. You learn as much from others' code as your own.
12-Month Access
Your recordings, notebooks, and resource library remain accessible for 12 months after graduation — your personal Python reference library.
Data Science Pathway
Graduates are pre-qualified for Idealnovate's AI and Machine Learning track — this course is explicitly designed as the foundation for data science careers.
Python Is the Language
of Africa's Data Future
Join 1,640+ graduates who built their Python careers with Idealnovate — and start writing code that matters.
Pick Your Start Date
Choose the cohort that works best for your schedule — all seats are limited.
Real Code.
Real Careers.
From first script to first offer — graduates who built Python careers in six weeks.
4.9★
Average course rating
1,640+
Python graduates across Africa
88%
Employed within 4 months
“I could write Python scripts after week two. By week five I had a full EDA project that impressed every interviewer I spoke to. The pace is intense but perfectly calibrated.”
Kelechi Eze
Data Analyst @ Flutterwave
“I came from Excel and was terrified of coding. This course made Python feel intuitive — the Pandas weeks especially. I went from pivot tables to groupby in days.”
Amaka Okonkwo
Business Analyst, Lagos
“The Seaborn week alone was worth the entire course. Understanding how to make statistical plots actually communicate findings changed how I approach every analysis.”
Yaw Mensah
Data Scientist, Accra
“Six weeks felt short going in, but the depth is real. My capstone project used a real Nigerian retail dataset — my interviewer at a top fintech asked for a copy of my notebook.”
Ngozi Adaeze
Analytics Engineer, Nairobi
“I applied for a data science role two weeks after finishing this course and passed the technical screen. The NumPy and Pandas foundations made the difference.”
Bello Musa
Junior Data Scientist, Abuja
“Real data, real Python, real projects. Idealnovate does not waste your time on toy examples — everything we built could go directly into a portfolio. Mine did.”
Ife Adeyinka
Data Analyst @ Paystack
Flexible Payment Options
Financial barriers shouldn't stop great talent. Choose the plan that works for you.
Pay in Full
Single one-time payment
Full Access
- Full access immediately
- Priority seat reservation
- 5% early-bird discount available
- Scholarship option (pay 20% only)
Instalment Plan
Split at 0% interest
2 payments
- 60% upfront, 40% at Week 3
- Zero interest, zero fees
- Full access from day one
- Flexible date arrangement
Deferred Payment
Start now, registration at Week 2
₦0 Now
- Begin learning with zero deposit
- Registration fee collected at Week 2
- For scholarship recipients only
- Admissions approval required
Tuition rates available upon request — we accept multiple currencies across Africa. Contact admissions for full pricing details.
Getting In Is Simple
Four straightforward steps between you and your Python career.
Explore the Programme
Read through the curriculum, payment options, and cohort dates. Attend a free info session or reach out with any questions.
Submit Your Application
Complete our short application form. No essays, no prior coding experience needed — just tell us about yourself and your goals.
Talk with Admissions
A member of our admissions team will reach out within 48 hours to discuss scholarship eligibility and confirm your fit.
Enrol & Secure Your Seat
Complete your registration, secure your cohort seat, and receive your pre-programme Python setup guide. Day one starts here.
Frequently Asked
Everything you need to know about the Python for Data Analysis course before applying.
Still have questions?
Our admissions team is happy to help you make the right decision.
Email AdmissionsNo. The course starts from absolute zero — installing Python, understanding what a variable is, and writing your first script. If you can use Excel, you have the logical thinking this course builds on. No prior coding is needed.
The Data Analysis Diploma is a 12-week programme covering Excel, SQL, Tableau, Power BI, and Python basics. This 6-week Python course goes much deeper into Python specifically — covering NumPy, advanced Pandas, Matplotlib, and Seaborn in detail that the broader course cannot. Many students complete the Diploma first, then return for this focused course.
Python 3.11+ via Anaconda (free), Jupyter Notebook (free), and the standard data science stack: NumPy, Pandas, Matplotlib, Seaborn. All tools are open-source and free to install. We provide full setup guides for Windows and Mac.
Expect 8–10 hours per week — one live session per week plus independent project work. All sessions are recorded and available for 12 months. Most students complete the course while working full-time, though it requires focused effort each week.
In week 6, you receive a real dataset from an African business — typically retail, fintech, or logistics — and must produce a complete EDA: cleaning, analysis, visualisation, and written insights, all in a polished Jupyter notebook. Instructors provide structured feedback on every submission.
This course gives you solid Python and data manipulation foundations that are required for junior data science and analytics engineering roles. For machine learning and modelling, you would continue with our AI & Machine Learning track. Many graduates use this course as the foundation for a data science career path.
Yes. We offer an 80% scholarship to qualifying applicants — you pay 20% as a registration fee. Apply via our scholarship page and our admissions team will review your application within 5 business days.
Data analyst, analytics engineer, junior data scientist, and Python-based BI developer. Graduates have been hired at fintechs, banks, e-commerce companies, and tech startups across Nigeria, Ghana, and Kenya.
Write Code That
Builds Your Career
Over 1,640 Python analysts have taken this step. Your portfolio project is six weeks away.