Data Analysis with Python

Turn raw data into decisions. This live cohort gives you a clear, repeatable workflow for real analysis with Python. You will learn to clean and combine datasets with pandas, explore patterns with visualisations, answer business questions with evidence, and automate routine work. Practical, tool driven, and designed for learners in Africa and the diaspora.

Who this is for

• Early career analysts, product and operations professionals
• Finance and marketing teams that report on KPIs
• Graduates and career switchers building a technical portfolio
• Anyone who wants to move from spreadsheets to Python

What you will build

• A reusable pandas cleaning toolkit for messy, real datasets
• An EDA notebook that tests hypotheses and tells a clear story
• Visualisation assets with Matplotlib or Plotly for stakeholder updates
• A simple SQL to pandas pipeline for data access and joins
• A reporting script that automates routine analysis
• A portfolio case study you can share with hiring managers

The 8 week journey at a glance

We move from Python setup and notebook workflow, into data cleaning and wrangling with pandas, exploratory analysis and visualisation, joins and basic SQL, simple modelling with scikit learn for practical prediction, automation and reproducibility, and a capstone that ships a polished analysis with a short narrative.

How it runs

• Three live sessions weekly, recordings available
• Weekly clinic and community support
• Datasets and starter notebooks provided, with an optional bring your data clinic
• Works with Anaconda or JupyterLab on your laptop, or Google Colab in the browser

Prerequisites
Comfort with spreadsheets and basic maths. No prior Python experience required.

Outcome

You leave work ready with a disciplined analysis workflow, a credible notebook portfolio, and the confidence to answer business questions with Python.