Data Science
Build predictive models that drive business decisions. Python, machine learning and deployment, from first line of code.
Course Overview
Data science is the discipline of turning messy, incomplete data into decisions someone is willing to bet money on.
This programme is code-first from week one. You'll learn Python properly, then statistics, then the machine learning algorithms that sit on top of them — regression, trees, ensembles, clustering and time series.
Course Outline & Modules
Expand each module to see the topics you'll cover.
- Python basics: variables, data types, loops, conditionals
- Functions and modules
- File handling and exception handling
- Introduction to NumPy arrays
- Pandas: reading, filtering and aggregation
- Handling missing values and outliers
- Descriptive statistics
- Visualisation with Matplotlib
Like what you'll learn? Secure your spot in the next cohort.
Skills you'll gain
The stack and craft you'll walk away fluent in.
- Python, NumPy & Pandas
- Exploratory data analysis & statistics
- SQL querying & joins
- Supervised learning (regression, trees, ensembles)
Roles this prepares you for
Where our graduates step in after course + internship.
Projects you'll build
Who it's for
Built for people ready to put in real work.
Ready to start Data Science?
Apply now to secure your seat, or apply for a scholarship if funding is a barrier.
