Data Science Foundation

20 Weeks KSh 90K

Master data fundamentals by learning how to clearly define business issues, prepare & clean data, implement a variety of predictive modelling techniques, and tell stories with data.

You will learn to use R, SQL and Tableau to uncover insights, communicate critical findings, and create data-driven solutions. The skills you learn map directly to available opportunities, and you’ll emerge from the program prepared to provide immediate value to any organization.

Advanced Data Science

10 Weeks KSh 50K

If you are already working with basic data models and are looking to incorporate more complex Data Modelling & Machine Learning into your workflow, then this program meets your needs.

This program is designed to help you understand advanced techniques that enhance and improve the accuracy of your modelling & analysis. You learn advanced concepts that not only enhance your knowledge but also make you a more attractive candidate for more senior data roles.

SUCCESS STARTS HERE

Trust Us with your Data Science Career

This program prepares students to fill a wide array of data related roles: Data Analyst, Data Analytics Consultant, Data Scientist, Business Analyst or even go independent as a freelance Data Analyst/Scientist.

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This is the best investment I've ever made.
— Livingstone Kyalo, Fellow
In my job as a manager, I can already see where I will use the skills I'm gaining from the Foundations program.
— Anthony Mukundi, Fellow
I can't wait to implement the skills I'll gain at my place of work.
— Tabitha Nungari, Fellow

FOR THE INDUSTRY

Focusing On What Matters Most

Fixing the disconnect between what the current education offers and what the Industry needs.

Our curriculum has been designed by industry experts for fellows to acquire data skills relevant to the 21st Century work place.

We have a pool of Industry experts working on game changing projects at global and local organisations as part of our chain of mentors.

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SUCCESS FACTORS

Driving change with other partners.