Technical Track

Turn data into decisions

Python, SQL, statistics, machine learning and AI - a project-based path from spreadsheets to production models.

Overview

From first query to first model

Data skills compound across every industry. This programme builds from SQL and Python fundamentals through statistics, visualisation and machine learning - always on real, messy datasets.

You'll finish with deployed projects on your GitHub and the storytelling skills to present findings to non-technical stakeholders.

PythonSQLMLPortfolio
  • Project-based - real datasets, deployed notebooks, GitHub portfolio.
  • Modern stack - Python, pandas, scikit-learn and cloud notebooks.
  • AI included - LLM fundamentals and practical prompt engineering.
  • Storytelling - dashboards and presentations that land with executives.
Curriculum

The complete data path

SQL & Databases

Querying, joining and modelling relational data.

Python for Data

pandas, NumPy and reproducible analysis.

Statistics & Viz

Hypothesis testing and compelling visualisation.

Machine Learning

Regression, classification and model evaluation.

AI & LLMs

Working effectively with modern AI tooling.

Capstone

End-to-end project from raw data to presentation.

16wkProgramme length
5Portfolio projects
RealIndustry datasets
LiveMentor support

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