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Course Overview

Build a strong foundation in data science with Ubunifu’s Data Science Foundations course. Learn to collect, analyze, and interpret data to drive smarter decisions in industries like finance, healthcare, and business. From data cleaning to building basic predictive models, this course equips you with essential skills to launch your career in data science or strengthen your decision-making as a professional.

About the Course

The Data Science Foundations course is designed to introduce you to the essential concepts and tools that power today’s data-driven world. You’ll start by learning how to collect, clean, and prepare data, before moving into analysis techniques that uncover patterns and insights. From there, you’ll build and evaluate simple predictive models, gaining the ability to apply data science in real-world decision-making.


Imagine working with a microfinance institution, developing a credit-scoring model that minimizes default risk while supporting financial growth. Through such hands-on projects, you’ll experience how data science powers industries like finance, healthcare, agriculture, and retail.


For career explorers, this course offers a beginner-friendly pathway into data science, giving you the confidence to move toward advanced fields like machine learning or AI. For career growers, it provides a chance to integrate data-driven thinking into your current role, opening new career opportunities.


Tuition Fee 

Ksh 40,000

Program Duration

3 months

Course Intakes

Monthly

Course delivery

Virtual or In-Person

Data Science Foundations | Ubunifu

Admission Requirements

  • Internet connection

  • Laptop or Computer

  • No prior experience required to enroll

  • Zeal for Learning

Exemption Status

Through AcadexHub, enrolling in this course is simple and guided. Students receive personalized enrollment support, course recommendations, and direct connections to Ubunifu’s admissions team.

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Discover Career Pathways

Data Science

Artificial Intelligence

Business Intelligence

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