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Professional Programme · Build a career
The route to a junior data scientist role. Build the analyst's foundations (statistics, SQL and Python), then learn to build, test and explain machine learning models on realistic Nigerian business data, and to use them responsibly. Data science jobs ask for more than models: they ask for clean data, honest evaluation and results a business can act on, which is what this track teaches.
What you'll be able to do
₦350,000
One-off payment. Every professional course in the programme unlocks the moment your payment is confirmed.
You'll create a free account first, then pay.
What's included
Professional Data Science builds on analytics: Python and statistics first, then machine learning, honest model evaluation, experiments and forecasting. The capstone takes a vague request all the way to a trial-tested decision policy with fairness checks.
Get job-ready as a junior data scientist.
Data Scientist Capstone
From a vague request to a trial-tested calling policy, with fairness checks.
Free introductions are open to everyone. The professional curriculum goes deeper, with real-world projects and assessments, and unlocks when you enroll.
Distributions, sampling, confidence intervals and tests: the language of uncertainty.
About 8 hours
You'll learn
pandas for loading, cleaning, reshaping and exploring data.
About 9 hours
You'll learn
Get your own data out of databases.
About 10 hours
You'll learn
Regression and classification with scikit-learn, from baselines to cost-based thresholds and model cards.
About 9 hours
You'll learn
Feature Engineering and Model Evaluation
Point-in-time features, time-based validation, calibration, lift and drift, on a mobile wallet's churn.
About 7 hours
You'll learn
Forecast demand with seasonality, events and honest backtests, and turn it into orders.
About 7 hours
You'll learn
Experimentation and A/B Testing
Design tests, size samples, catch broken splits and read results without fooling yourself.
About 7 hours
You'll learn
Who leaves, when, and why: a natural first prediction problem.
Explore drivers of revenue before modelling them.
Data Scientist Capstone: From Model to Decision
From a vague request to a trial-tested calling policy, with fairness checks and a monitoring plan.
About 12 hours
You'll learn
An ATS-friendly CV and a LinkedIn profile recruiters can find.
1 hr 30 min
You'll learn
One link that shows your notebooks and model cards.
1 hr 25 min
You'll learn
Courses marked "In preparation" join the programme when they're ready. If you've already earned the programme badge by then, you keep it.