Data Science in Kenya

Data science courses open to Kenyans, from Nairobi bootcamps to master's degrees and online certificates, with fees and lengths taken from each provider's own page.

A fair look at Moringa School's data science bootcamp, then the alternatives sorted by the reason Moringa does not fit you: the fee, the hours, the entry rules or the credential.

The payback sum for a data science course in Kenya, worked line by line: sourced entry-level pay, the full cost including a laptop and bundles, and four example readers.

Twenty-six weeks, free resources only, and one small project a month built on African data. Follow it alone or use it to check any course you are paying for.

A worked machine learning example with made-up numbers: predicting how long a matatu takes from Thika Road to town, and what happens when the model is wrong.

Three terms people use as if they mean one thing. Here is what each means, how the jobs differ, and which one a beginner in Kenya should learn first.

A Nairobi studio that trains both sets out the daily work, the maths, the Kenyan job counts and the entry routes, then gives you a five-question self-test.

Yes, you can start. Here is which maths data science needs, in what order it arrives, and the real work you can do before you have it.

Three weekly time budgets, the evening track, a script for asking your employer to sponsor you, and what to build on company data without breaking the law.

A pandas tutorial on a kiosk sales file instead of the Titanic: load it, clean it, rank products and find the slow days.

From a trained model file to a working API: save, serve, test with curl and put it in a Docker container, in four short steps.

Start Airflow in Docker from the official compose file and build a three-task daily pipeline for shop sales: pull, clean, load.

Thirty days, four weeks, one small script a week. Learn only the parts of Python that data work uses, with examples on made-up Kenyan shop data.

Five query patterns cover most weekly analyst work. Each is shown on a made-up mobile money table, in PostgreSQL syntax.

Five statistics ideas do most of the work in data jobs. Each one comes with a small worked example you can check on paper.

A chart is not the finish line. This guide shows the one-page memo, a simple way to pick a chart, and a before and after on made-up shop data.

Open a video app and the next clip seems to know you. This guide shows the three ideas behind it, with a tiny worked example you can do by hand.

You do not have to abandon Excel. This plan moves one monthly report to Python in four weeks, step by step, with the old file kept as a check.

Five portfolio projects on African data, each with a question, a dataset and a deliverable, plus how to package them with a README, a live demo and a write-up.

Turn the PDF Safaricom emails you into a clean table, a spending breakdown and a chart, with code you can run on your own laptop.

Score members of a chama from their contribution history: first with points anyone can read, then with logistic regression, and with consent in mind.

Use a moving average, a weekday pattern and a month-end bump to forecast a shop's sales, then set a reorder point you can pin by the stockroom door.

A fraud model on the public PaySim dataset, judged in shillings lost and wasted alarms rather than a single accuracy score.

Where to find real Kenyan data for practice projects: eight sources, what each holds, the file format and the date we opened it.

A plain walk through your first Kaggle entry: account, notebook, baseline model, submission file and the habits that make the second try better.

A dated count of 62 data job ads on MyJobMag Kenya, split by analyst, scientist and engineer roles, with the method and the limits spelled out.

Who posts data jobs in Kenya, under which titles, at what seniority, and what degree and years they ask for, counted from 62 ads on 3 November 2026.

Three data roles, read from real Kenyan job ads: the daily work, the tools, the entry route and the sourced pay, plus how data science differs from analysis and visualisation.

SQL, statistics, M-Pesa and loan case questions and take-home tasks, each with a model answer, built from the duties listed in real Kenyan data job ads.

Satellite crop insurance, farm credit scoring, crop disease detection, a national farmer registry and drone mapping on fish farms: five uses, sourced, with the skills each needs.

Where data science is used in Kenyan healthcare today, sourced to named systems and studies, plus what the Data Protection Act 2019 limits and the skills the work needs.

Every published data analyst pay figure for Kenya we could find, with its source, sample size and date, and an honest note on why they disagree.

Four published data scientist pay sources for Kenya, side by side with sample sizes, dates and a plain note on how far to trust each.

Six checks a finance, sales or operations team can run on its own spreadsheets before anyone trusts a number, plus a plain table of who owns each one.

Data literacy is the habit of asking where a number came from before acting on it. Here is what it looks like by role, how to test it, and a 30-day plan.

Three ways to put a dashboard in front of your staff. We compare published licence prices, the skills each needs, and when each one is the right pick.

The Act in plain words for people who handle customer data, then a pandas walk-through: salted hashes for phone numbers, generalised fields and a k-anonymity check.