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LEARNING PATH 01

Data Science

For curious minds who want to find patterns, answer questions, and make better decisions with data.

PATH SNAPSHOT
Starting pointStart with the fundamentals
Core toolkitPython · Statistics · Machine Learning
Learning styleConcepts · Practice · Applied project
01

Is this path for you?

Follow this path if these goals sound like where you want to go next.

  • Analytical thinkers who enjoy asking why
  • Beginners ready to learn Python step by step
  • Professionals who want to make evidence-based decisions
02

What you’ll be able to do

01

Clean, explore, and visualize real datasets

02

Use statistics to test ideas and explain results

03

Build and evaluate practical machine learning models

04

Communicate findings through a clear data story

03

Your learning roadmap

Five connected stages take you from strong foundations to confident application.

  1. 01

    Python foundations

    Learn the language and habits used in modern data work.

    Core PythonData structuresJupyter notebooks
  2. 02

    Working with data

    Turn raw tables into trustworthy information.

    SQLPandasCleaning and exploration
  3. 03

    Statistics and visualization

    Reason about uncertainty and reveal the patterns that matter.

    ProbabilityHypothesis testingVisual storytelling
  4. 04

    Machine learning

    Train useful models and judge how well they generalize.

    Supervised learningFeature engineeringModel evaluation
  5. 05

    Applied data science

    Bring the full workflow together in one end-to-end investigation.

    Problem framingExperimentationPresentation
04 · PUT IT INTO PRACTICE

Tell a complete data story

Explore a real-world dataset, build a predictive model, and present the decisions your findings support.

WHAT YOU’LL CREATE

A reproducible analysis notebook

A validated predictive model

A concise findings presentation

05

Choose how you want to learn

Start with the same practical roadmap, then choose the level of guidance and career support that fits your goal.

Build the essentials

Foundation

A structured sequence of concepts, guided practice, and a focused capstone.

Learn with guidance

Mentor-led cohort

Live sessions, mentor office hours, project feedback, and a peer learning group.

Prepare for your next role

Career accelerator

Deeper projects plus portfolio, profile, and interview preparation.

Build capability together

Team academy

Role-based training, live workshops, and an applied project for your organisation.

KEEP EXPLORING

Next learning path

Data Engineering
Ready to start this path?

Tell us where you are and we’ll help you find the right place to begin.