Python & Data Analytics
Turn messy data into clear, defensible decisions companies trust.
Overview
Why data, why Python
Almost every team now sits on more data than it can make sense of. The people who can turn that raw, messy data into a clear, defensible decision are valuable in every industry — and Python, with pandas and SQL, is the toolkit they use to do it.
This track is about judgement as much as code. Anyone can produce a chart; you'll learn to ask the right question, clean the data honestly, and tell a story that stands up to scrutiny.
How you'll learn
From your first notebook to a stakeholder-ready dashboard, you'll work with real datasets — guided by live mentor sessions and plenty of hands-on practice. The capstone is an end-to-end analysis for a partner company: clean the data, query it, visualise it, and recommend an action you can defend.
You'll leave able to go from a vague business question to a clear, evidence-backed answer — the exact workflow analytics teams hire for.
Who it's for
Students curious about data, analytics, or an eventual path into data science. No prior coding is required — the track starts from the basics and builds steadily toward real, applied analysis.
What you'll walk away with
- Clean, transform, and analyse real datasets with Python and pandas
- Write SQL to answer business questions from a database
- Build clear visualisations and a defensible analytics narrative
- Deliver an analytics project for a real company to earn stipend eligibility
What you'll cover
- Module 1
Foundations
- Python for data work and Jupyter notebooks
- Data types, cleaning, and transformation
- Working with files, APIs, and databases
- Module 2
Analysis
- pandas for exploration and aggregation
- SQL for querying relational data
- Descriptive statistics and avoiding common pitfalls
- Module 3
Communicating insight
- Visualisation principles and chart selection
- Building dashboards stakeholders understand
- Telling a clear, honest data story
- Module 4
Company project + review
- Analyse a real dataset for a partner company
- Submit findings for structured review
- Iterate to a stipend-eligibility decision
Skills & tools you'll use
Skills
Tools
The capstone
A real company project
An end-to-end analysis of a partner company's dataset — from cleaning to a stakeholder-ready dashboard and recommendation.
Ideal for: Students curious about data, analytics, or a path toward data science — no prior coding required.
Explore other tracks
Ready to start the Python & Data track?
Register, train on real material, and build a project companies actually value.