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Data Science Course (Full-Time Online)

Data Science Course (Full-Time Online)

Data scientists examine which questions need answering and where to find the related data. They have business acumen and analytical skills as well as the ability to mine, clean, and present data. Businesses use data scientists to source, manage, and analyze large amounts of unstructured data. Results are then synthesized and communicated to key stakeholders to drive strategic decision-making in the organization. Data Science continues to evolve as one of the most promising career paths for skilled professionals in Kenya.


Applications close on October 12th 2020


Students Enrolled


Prep Graduates


Core Graduates



Moringa Prep: Data Science Fundamentals

Prep is for students straight out of high school, university students and graduates with a statistical or mathematics background. This course equips you with skills to go on and specialise in the Moringa Core stage. The 5-week prep course introduces you to data science, logic for data science, and data preparation.


5 weeks

Fees : KES 40,500

Languages Covered

  • Pandas
  • NumPy
  • Python
  • SQL


Adapt the project life-cycle of a typical data science project while writing code and documenting your workflow in a programming environment

Data Science Core: Visualization & Intro to Machine Learning (18 Weeks)

In the 18-Week core class, you will deep-dive into data alaysis, data visualization, and an introduction to machine learning. You will get to work on both individual and team based projects, learning how to leverage on modern programming languages and tools to collect and analyze real world data. You will have access to our experienced technical mentors who will guide you on how to build an impressive data scientist portfolio and acquire the confidence needed to succeed in the profession.


18 weeks

Fees : KES 140,000

Topics Covered

  • Supervised Learning
  • Advanced Regression
  • Decision Trees
  • Neural Networks
  • R for Data Science & More


  • Model Data
  • Analyze and Visualize Data
  • Present insights and recommendations from data