Data Science and Analytics
Learn data analysis, statistics, data visualisation, machine learning, and practical AI applications applied to East African datasets.
- Python
- SQL
- Excel
- Power BI
- Statistics
- Machine Learning
- Data Visualisation
Programmes
Practical tracks in data, AI and engineering.
Explore our core learning tracks built for careers in data science, analytics, data engineering and software engineering — delivered live online or in person in Nairobi.
Our Training Programmes
Each track is sequenced rung by rung, from foundations to job-ready projects.
Data Engineering
Design and build scalable data pipelines, databases, data warehouses, and cloud-based data infrastructure that teams can actually run.
- SQL
- ETL
- Data Warehousing
- Data Modelling
- Big Data
- Cloud Platforms
Software Engineering
Programming, computer science foundations, backend development and modern full-stack engineering through project-driven learning.
- Python
- JavaScript
- React
- Next.js
- SQL
- APIs
Also available · School of AI
Explore AI coursesApplied AI and AI Governance courses
Short, focused AI courses in two streams — applied AI for practitioners and AI governance, procurement and data protection for institutions.
Next intake · 1 Month
Short Courses: Python & SQL
Build practical Python and SQL skills in one month with flexible instructor-led classes at 5:00 AM, 10:00 AM or 7:30 PM EAT.
- Python
- SQL
- 1 Month
- 2 Hours Per Session
- Flexible Schedule
How to join a cohort
Choose the delivery mode that fits your week. Tuition is paid month by month across the track, and every learner keeps their class recordings, notebooks and project files. Talk to us about instalment plans, team rates or a fully custom version of any track for your organisation.
Live online cohorts
Online Classes
Join mentor-led online classes from wherever you are. Morning and evening schedules keep learning possible alongside work or school.
Investment
6,900 KES/month
(27,500 KES total)
- Morning online classes
- 10:00 AM to 1:30 PM EAT
- Evening online classes
- 7:30 PM to 10:00 PM EAT
- Mentor guidance
- Career projects
- Recorded sessions
Campus immersion
In-Person Classes
Learn physically at our Nairobi hub with structured morning sessions, peer collaboration, direct mentor interaction and daytime resource access.
Investment
11,500 KES/month
(45,000 KES total)
- Nairobi hub schedule
- 10:00 AM to 1:30 PM EAT
- Daytime resource access
- Peer labs
- Mentor reviews
- Learning materials
Why join NgaziTech?
Hands-on mentorship, flexible options, and career-focused support from day one.
You build, not just watch
Every rung ends with something you made — a cleaned dataset, a working pipeline, a dashboard, a deployed app — using the same tools your workplace already runs on.
Taught by people who do the work
Sessions are led by practitioners who spend their week in analytics, engineering and institutional advisory, so the examples come from live problems, not textbooks.
Local data, local context
Case material is drawn from Kenyan and East African realities — county reporting, SACCO and telco data, public sector constraints — not adapted Western samples.
Sequenced, not overwhelming
The Ngazi Method breaks each track into rungs. You always know what you are learning this week and why it comes before the next thing.
Schedules built around work
Early morning, midday and evening sessions, online or at the Nairobi hub, so you can keep your job while you retrain.
A portfolio you can send an employer
You leave with documented projects and a short write-up of each one, so your work speaks before your CV does.
Our Application Process
01
Tell us where you are
Send the enquiry form with your background, the track you are eyeing and how you prefer to learn.
02
We map your starting rung
We look at your experience against the track and recommend where to begin — sometimes that is a short course first, and we will say so.
03
Confirm your place
You receive the curriculum, intake dates, fees and payment schedule. Reserve your seat and you are on the cohort list.
04
Onboard before day one
You get your setup guide, class links and pre-work so the first session starts with learning, not installations.
Need a programme shaped around your own data and systems? We build custom curricula for institutions.
Enquire about training