Data Science Foundations

Starts 12 October 2026•8 weeks

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Overview

About this programme

Ship your first machine-learning model in eight weeks. Data Science Foundations takes you through Python, pandas, data visualisation, and core statistics — ending with a project where you build and evaluate a working model from a real dataset.

Curriculum

Programme structure

Prerequisites

Secondary-school maths and comfort with a computer. No prior coding required, though prior exposure helps you move faster. A laptop and an internet connection.

What you'll learn

Write Python programs using core syntax, data structures, and functions
Manipulate and clean data with NumPy and pandas
Explore datasets and visualise them with Matplotlib
Apply foundational statistics used in machine learning
Split data and train a model with scikit-learn
Evaluate a model's performance and interpret the results
Complete an end-to-end project from raw dataset to a trained model

8 modules

Master the fundamental tool that every professional developer uses daily. Learn to track changes, collaborate with others, and manage your code like a pro from the very beginning of your development journey.
- Understand version control concepts and why Git is essential for modern software development
- Use GitHub effectively for remote repositories, collaboration, and showcasing your work to potential employers
- Master Git basics including repositories, commits, branches, and merging for effective code management.
You'll build: a version-controlled project on GitHub, with branches, pull requests and a history an employer can read

Module 1: Version control with Git and Github

Master the fundamental tool that every professional developer uses daily. Learn to track changes, collaborate with others, and manage your code like a pro from the very beginning of your development journey.

Understand version control concepts and why Git is essential for modern software development
Use GitHub effectively for remote repositories, collaboration, and showcasing your work to potential employers
Master Git basics including repositories, commits, branches, and merging for effective code management.

You'll build: a version-controlled project on GitHub, with branches, pull requests and a history an employer can read