Data Science and Machine Learning

Collect data, analyze patterns, build models, visualize insights, to drive Smarter Business Decisions.
Course Duration: 12h
Tuition:
UGX 2,000,000
Course Level:All Levels

Learning Mode:
Hybrid

Learn how to turn data into smart decisions. In just 14 weeks, this beginner-friendly course teaches you how to collect, clean, and understand data, then use machine learning to build models that make predictions and improve over time.

You will work with real tools used by data professionals and build projects you can showcase. Whether you’re changing careers or adding new skills, this course helps you step confidently into the world of AI and Big Data.

Is Data Science & ML for me? 👈🏿Please consider creating a pop-up for this quiz on this program’s page.

What You will Achieve

  1. Strong Python Skills for Data Analysis Learn how to manipulate, clean, and explore data efficiently using Python—your foundation for all data science work.
  2. Master Key Machine Learning Concepts Understand and apply core algorithms like regression, classification, clustering, and gradient boosting to solve real-world problems.
  3. Turn Data into Actionable Insights Gain the ability to build models, visualize results, and communicate findings that drive smart decisions in any industry.

Entry Requirements for Data Science & Machine Learning

  1. Basic Skills & Tools
  • Fluency in English (speaking, reading, writing)
  • Basic computer literacy and internet navigation
  • Comfort using spreadsheets or simple data tables
  1. Learning Readiness
  • Willingness to learn programming logic
  • Curiosity about how data informs decisions
  • Openness to learning through trial and error
  • Ability to follow instructions and complete tasks
  • Capacity to manage time for online learning
  1. Analytical Mindset
  • Basic arithmetic and logical reasoning
  • Interest in patterns, trends, or problem-solving
  • A growth mindset and motivation to build future-ready skills
  • Some programming experience or strong analytical aptitude (pre-work available for beginners)

Intakes: February, June, September

Target Roles/Careers

  • Junior Data Analyst
  • Machine Learning Intern
  • Business Intelligence Analyst
  • Freelancer (Data Projects)
  • Entry-Level Data Scientist

Collect data, analyze patterns, build models, visualize insights, to drive Smarter Business Decisions.
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Course Curriculum

First Stack

  • Week 1 – 5: Data Science Fundamentals

Second Stack

Third Stack

Graduation!

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