Advanced Data Science and AI program
Get hands-on training in Data Science and AI for a career as a Data Scientist and a Machine Learning Engineer.
After taking this course you’ll be able to:
Who is this Course For?
A 6-month rigorous Data Science course meant for professionals seeking a career in Data Science.
After taking this course you’ll be able to:
PhD Instructors
With many years of instructional experience
In person TAs
With advanced Msc who support student learning journey
Global Partners
With organizations and companies that have Data science & AI needs
Industry Mentors
Who introduce real world experience to the learning process
Community
A unified space where techies can learn, network, collaborate and give back
Module 1
- Introduction to Data Science and Python
- Data Visualization and Reporting for Data Science
- SQL and Exploratory Data Analysis and Feature Engineering
Module 2
- Machine Learning
- Graph Analytics
- Introduction to Artificial Intelligence
Module 3
- Deep Learning
- Time Series Analysis and Application
- Natural Language Processing and Language Models
Module 4
- Data science Capstone Project – Impact
Skills you will acquire
Technical Skills
Mathematics & Statistics
Programming
Analytics & Modeling
Data Visualization
Machine Learning Methods
Soft Skills
Critical Thinking
Project Management
Problem solving
Adaptability & Teamwork
Business Acumen
Strong Communication S kills
What our students are saying
Raphael Gichira
"The projects that I undertook in the Advanced Data Science Course helped me to really dive deep into Machine Learning. Applying and testing the skills that I have learned from class to solve real-world problems and helping organizations move forward is absolutely amazing.”
Meet The Teaching Team
Intake Information
Duration
26 Weeks
(Part-time)
Classes
Tuesday, Thursday
& Saturday
Time
6 p.m. – 9 p.m. EAT
9 a.m. – 12 p.m. EAT (on Saturday)
Tuition Fee
$1400
Payable in Installments
Application Process & Eligibility
Eligibility
- STEM Background- Bachelor’s degree in a quantitative discipline (such as mathematics, computer science, engineering, actuarial science, physics or statistics) or a qualification of an equivalent standard with basic statistical skills and knowledge of mathematical methods
- Alternatively, prior experience in a high-level programming language (R/Python) qualify. Relevant professional experience will also be taken into consideration.
- Pass the entry test
- Your own computer
- Internet connection
- A good level of English
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
