Foundations in Data Science Program

Foundations In Data Science Program

A 3-month rigorous Data Science course that will equip you with skills needed to be a highly productive professional and the foundation to explore a career in data science

Our Data Science Foundations course provides you with industry-ready technical & soft skills to kickstart your data science career, while creating multiple portfolio pieces to showcase your new skill set.

Why JENGA

PhD Instructors

Our instructors have PhDs in AI and Machine Learning with many years of instructional experience in the field.

In person TAs

We provide in class Teaching Assistants with advanced degrees (Msc) in relevant fields to support student learning journey.

Industry Mentors

We work with experienced industry professionals as mentors to introduce critical real world experience to the learning process.

Global Partners

We continually develop partnerships with organizations and companies that have Data science & AI talent needs.

Community

We provide a unified space where techies can learn, network and giveback.

Curriculum

Our curriculum is a collaboration between the brightest minds in academia & industry
combining the rigor of higher education with practical industry application

Week 1 – 4

Excel for Data analytics

You will learn how to use Power Query to automate the process of importing and preparing data for analysis.

Topics : Get and Transform (Power Query), Transform Data in Query Editor, Power pivot, Power BI

Week 4 – 10

Introduction to Programming
You’ll learn the foundations of programming using the
Python language

Topics : Computing with numbers, functions, functions, sequences, decision structures, loop structures

Week 10 – 12

Programming for Data Analysis

You’ll learn how to use Python libraries and Jupyter notebooks

Topics: Pandas, NumPy, Pytorch, Maplotlib

………………………………Capstone Project…………………………….

Skills you will acquire

Technical Skills

Soft Skills

Project Management

Teamwork

Strong Communication skills

Critical Thinking

 Problem solving

Adaptability

What our students are saying

Kelvin Bariu

What I can say about JENGA School, is that it is setting standards that are not locally available through the class experience.

Kelvin Bariu
Foundations In Data Science Graduate

Bernice George

My biggest highlight while attending the foundations course at JENGA School was the Industry Lectures. It was always exciting to hear directly from people who are practicing what you’re learning, and getting to understand how to apply the teachings in the real world.

Bernice George
Foundations In Data Science Graduate

Meet the Instructors

Dr. Albert Kahira,

Lead Instructor

Jedidah Mwaura

Teaching Assistant

Intake Information

Upcoming Intakes

May 9th 2023

Duration

12 Weeks
Part-time

Classes

Tuesdays & Thursdays
6PM-8:15PM EAT

Tuition Fees
$500

Application Process & Eligibility

Eligibility

  • Proof of education(STEM background is NOT necessary)
  • Your own computer
  • Internet connection
  • A good level of English
  • Motivation to continuously learn & transform your career

How to Apply

  • Fill in the application form
  • Create your student profile
  • Register for the qualification test
  • Provide proof of your education background
  • Select your start date
  • Sign the Student Policy Agreement
  • Pay your tuition

Payment Options

Lipa na Mpesa

  • Paybill #: 4027233
  • Account #: 1007349927

OR

Bank Transfer

  • Payable to: Jenga School Institute
  • Bank Name: NCBA Bank
  • Bank Branch: Junction
  • Account name: Jenga School Institute
  • Account number: 1007349927 (KES)
  • Swift Code: CBAFKENX
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JENGA School

FEIN 86-3313060

JENGA School
Nondiscriminatory Policy

JENGA School admits students of any race, color, national and ethnic origin to all the rights,
privileges, programs, and activities generally accorded or made available to students at the
school. It does not discriminate on the basis of race, color, national and ethnic origin in
administration of its educational policies, admissions policies, scholarship and loan programs,
and athletic and other school-administered programs.