Contact Info

Tech & AI workforce infrastructure. Programs in Software Engineering, Data Science, Cybersecurity, UI/UX & Digital Marketing delivered across Africa.

Follow Us:

Data Science & Artificial Intelligence

Data Science, AI & Machine Learning

Beginner
Enroll Now
Data Science, AI & Machine Learning

About This Programme

Our Data Science programme is designed to take you from your first line of Python to building and deploying a complete, production-ready machine learning project. The focus is practical from day one. You’ll work with real-world datasets, learn how to clean and structure messy data, query databases efficiently, and build dashboards that communicate insights clearly. Beyond model development, you’ll also learn how to deploy your work as APIs that can be used in real applications.

Each module contributes to a hands-on portfolio project, giving you tangible proof of your skills by the end of the program.

Data science is about turning raw data into clear decisions and useful predictions. It brings together programming, statistics, and machine learning to answer real-world questions such as which customers are likely to churn, what products to stock, or how to assess risk in lending. As organisations across Kenya continue to adopt data-driven decision-making, the demand for skilled data professionals is growing rapidly. Data scientists and analysts are now among the most sought-after entry-level roles in the country’s tech ecosystem, offering strong career prospects across industries including finance, agriculture, e-commerce, and logistics.

What You Will Learn

1

The Full Data Science Pipeline: You’ll work through the entire workflow; from data collection and cleaning to analysis, visualisation, machine learning, and finally deploying models as APIs. Not just the “fun parts” in the middle, but the full process used in real-world systems.

2

Industry-Standard Tools: You’ll gain hands-on experience with tools used in actual tech teams: Python, Pandas, NumPy, Scikit-Learn, Matplotlib, Streamlit, FastAPI, Docker, and GitHub.

3

Developer Mindset from Day One Version control, command-line tools, Git, GitHub, and Docker are introduced early and used throughout. You don’t just learn data science; you learn how to work like a developer in a production environment.

4

Built for Real Job Markets in Kenya Data roles are growing across banking, telecoms, healthcare, agriculture, and NGOs. Entry-level data analyst roles are often the first step into the industry, and this programme is structured to prepare you for exactly that transition.

5

Project-Driven Learning (60% Assessment) Most of your evaluation is based on building real solutions. By the end of the programme, you will have a deployed machine learning project such as a customer churn predictor, sentiment analysis tool, or demand forecasting system that you can confidently showcase.

Who Can Apply

This programme is open to anyone with a basic understanding of computers and a passion for technology. No prior experience is required — just curiosity and commitment.

  • KCSE leavers and recent graduates
  • Working professionals looking to upskill or change careers
  • Entrepreneurs building digital products
  • Anyone aged 18+

Entry Requirements

  • Confirmation — You will receive an acknowledgement within 24 hours during working hours confirming we have received your application.
Fees & Payment Options
Flexible plans available — upfront, instalments

Frequently Asked Questions

No. This course starts from the ground up. If you can use a laptop and have basic computer skills, you qualify.

You'll be ready for entry-level roles including Security Support Assistant, SOC Trainee (Tier 0/1), Junior Risk & Compliance Assistant, and IT Support with a security focus.

Yes. The curriculum is aligned with core concepts covered in CompTIA Security+. Exam fees are separate and not included in the course fee.

The course fee is Ksh 55,000. You can pay the full amount upfront at an 8% discount, or use our installment plan — 50% on enrollment and 50% within 2 months.

Graduates can advance to our Intermediate level, which covers detection engineering, advanced SOC operations, network defense in depth, and full incident response leadership.
Chat with us ›