Data Science · 8-week live cohort
Data Analysis with Python
Move from spreadsheets to a repeatable analytical workflow in Python.
Learn to clean and combine datasets with pandas, explore patterns with visualisations, use SQL for data access and joins, and automate routine analysis.
Next cohort details will be published when confirmed.
Understand it. Practise it. Produce evidence.
The analytical notebook
A useful Python analysis should be reproducible enough for another person to follow.
Bring data into a controlled notebook or script.
Clean, merge and validate with pandas.
Test questions with visualisation and structured analysis.
Turn recurring work into reusable code.
Programme overview
Data Analysis with Python
Learn to clean and combine datasets with pandas, explore patterns with visualisations, use SQL for data access and joins, and automate routine analysis.
What you will build
Practical work that makes progress visible.
Functions and patterns for common data-cleaning tasks.
A documented notebook that tests questions and explains findings.
Clear charts created with Matplotlib or Plotly for stakeholder use.
A simple workflow for querying, joining and analysing data.
Automation for a recurring analytical task.
A polished analysis with code, evidence and a concise narrative.
Programme journey
A clear progression through the work.
Python setup and notebook workflow
Establish the environment, syntax and working habits needed for analysis.
Data cleaning and wrangling
Use pandas to inspect, transform, combine and validate datasets.
Exploratory analysis and visualisation
Investigate patterns and communicate them clearly.
SQL and joins
Connect simple SQL querying to the analytical workflow.
Simple modelling
Use practical predictive methods where they genuinely help.
Automation and reproducibility
Turn recurring work into reusable scripts and documented workflows.
Capstone
Ship a complete analysis and explain the evidence behind it.
Who this is for
Built for people who need the capability in practice.
How you learn
A live learning rhythm built around practice.
The programme combines structured teaching, guided practice and regular review so the work develops alongside the knowledge.
Next step
Interested in this programme?
Check the current application status and register your interest. We do not publish cohort dates until they are confirmed.
Next cohort details will be published when confirmed.
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