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Data Science Course (Full-Time Online)

Data Science Course (Full-Time Online)

What is data science?

Data science is the discipline of extracting knowledge from different types of data. Organizations and businesses use these insights to make decisions.

The Moringa School Data Science course prepares you for a wide range of careers in tech, business, health, engineering, and other industries.

This course is for you if you have completed high school, are continuing with college, or you are a graduate and you enjoy working with numbers and data. 

 

Next Data Science class starts on January 11th 2021

 

 

 

177+

Students Enrolled

156

Prep Graduates

39

Core Graduates

 

 

Moringa Prep: Data Science Fundamentals

Prep is the introductory stage of data science. 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.

Duration

5 weeks

Fees : KES 40,500

Languages Covered

  • Pandas
  • NumPy
  • Python
  • SQL

YOU WILL BE ABLE TO:



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.

Duration

18 weeks

Fees : KES 140,000

Topics Covered

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

YOU WILL BE ABLE TO:



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

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