Bootcamps · Data

Data Science Bootcamp

Python, SQL, statistics, machine learning and LLMs, with dashboards and a portfolio project employers can see.

31 weeks 40 hrs/week Beginner Certificate on graduation
Data Science Bootcamp
The Data Science Bootcamp takes you from programming basics to building and deploying machine learning models. You learn Python and SQL, explore and visualise data, apply inferential statistics and regression, build dashboards and use cloud and generative AI tools, then move on to scikit-learn, NLP, time series, neural networks, transformers, LLMs and MLOps. Two career incubator phases build your professional skills, and you finish with an end-to-end project for your portfolio.

What you'll learn

  • Analyse data with Python, pandas and SQL
  • Communicate insights with dashboards
  • Apply statistics and regression
  • Train and evaluate machine learning models
  • Work with NLP, time series and transformers
  • Deploy and monitor models (MLOps)

Curriculum

  1. 1
    Prep · Introduction to data science

    Lifecycle, Python, pandas, statistics and SQL basics.

  2. 2
    Core · Data science programme
    Week 7–15 · Data Science Bootcamp

    Python for data, SQL, dashboards, inferential statistics and regression.

  3. 3
    Wellness break
    Week 16

    A week off to rest and catch up.

  4. 4
    Machine learning & LLMs
    Week 17–27 · Data Science Bootcamp

    scikit-learn, NLP, time series, neural networks, transformers and MLOps.

  5. 5
    Career incubator · BI & dashboards

    Power BI dashboards for your portfolio and interview preparation.

Before you join

  • Aptitude for numbers and problem solving
  • Admissions assessment
  • Laptop: 8GB RAM minimum, Intel i5 / Ryzen 5 or better

Tools & technologies

PythonJupyterpandasNumPySQLMatplotlib / SeabornTableau / Power BIscikit-learnTensorFlow / KerasHugging FaceGit

Career paths

Data ScientistData AnalystMachine Learning EngineerBusiness Intelligence AnalystAI Engineer