Skip to main content
Career PathsOutcome → Data Scientist

Data Scientist Path

Analysts and engineers who want to model data, run experiments, and drive decisions with science.

4 stepsHands-on labsCapstone + portfolioA named role

Save $147 vs. courses separately

By the end, you can

What this path makes you able to do.

  • Apply the data science process with statistics and Python
  • Build and evaluate machine learning models with scikit-learn
  • Design experiments, communicate results, and deploy models responsibly
A guided journey, not a pile of courses

The 4-step path.

  1. 1

    Data Science Foundations

    Process, stats, and Python

    View course
  2. 2

    Machine Learning for Data Science

    Models and evaluation

    View course
  3. 3

    Data Science in Practice

    Experiments, deployment, ethics

    View course
  4. Capstone: deliver a data science project

    An end-to-end project with exploratory analysis, a trained and evaluated model, and a stakeholder writeup

Every path is backed by

Hands-on labs. A final exam & capstone. A real role.

You finish with a portfolio you can show, a cumulative exam, and the skills to land the Data Scientist role.

Not sure this is the one? Take the free fit and aptitude check first: twelve short questions, instant answer.