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Data Science

Statistics, programming and modelling for data driven work.

This school covers statistics, Python, data preparation and building and evaluating models. Courses are arranged from beginner to advanced, with assignments and projects at each level so you build proof of your skills as you learn.

Who it suits

It suits students with an interest in mathematics and programming. No prior experience is needed for beginner courses.

Where it can lead

The skills in this school are relevant to data scientist trainee, analyst and associate data science roles.

How to start

Popular in Data Science

  • Data Science: Advanced

    From data scientist to data science architect: data engineering at scale, causal inference, MLOps, cloud data platforms, and production Generative AI.

    CourseFee by email
    • Advanced
    • 8 weeks
  • Data Science: Intermediate

    Go from analyst to data scientist: advanced SQL, experimentation, machine learning engineering, and Generative AI over your own business data.

    CourseFee by email
    • Intermediate
    • 8 weeks
  • Data Science: Beginner

    Go from zero to your first data driven insight: Python, SQL, statistics, dashboards, and a Generative AI powered reporting feature.

    CourseFee by email
    • Beginner
    • 8 weeks

Not sure where to start?

The free aptitude test takes about fifteen minutes and suggests a direction. You can also browse every course and programme in one place.