Tech field · Data Scientist · 5 steps · 20 lessons · 108 min
I want to become a data scientist
Python, statistics, first models and honest evaluation, ending with a portfolio project you can show. It assumes you are comfortable with spreadsheets; if you are not yet, the Data Analyst track is the gentler start.
Step 1 · 3 lessons
The basics
How AI learns and where it slips.
- L001What is AI, really?1 min
- L002How machines learn2 min
- L005Why AI makes things up2 min
Step 2 · 3 lessons
Bridge to the field
How models fool you, and how tests can too.
Step 3 · 8 partsTrack
The field, step by step
Eight step pages, each with a task to try and a check question.
- 1. What data scientists actually do8 min
- 2. Python and notebooks for data12 min
- 3. Exploring data before you trust it10 min
- 4. Probability and statistics for decisions12 min
- 5. Your first models12 min
- 6. Evaluating models honestly11 min
- 7. Working with AI and LLMs as a data scientist10 min
- 8. Communicating results and your first portfolio project12 min
Step 4 · 4 lessons
Working with AI in the job
Use AI tools well and check their work.
- L018Choosing a model2 min
- L023Review AI like a manager2 min
- L013What not to paste into AI1 min
- L020Summarise anything1 min
Step 5 · 2 lessons
Your field and what's next
Where the work is going.
- L132AI and bias2 min
- L029Will AI take my job?2 min
Finish the path
Take the quiz, get the certificate
Score 80% or more on the quiz to unlock a certificate with your name.
Quiz · 10 questions
Data Scientist track quiz
Ten questions on the Data Scientist track. Score 80% or more and tick every step to earn the certificate.
Take the quizCertificate · free
Your certificate
Preview it now. It unlocks when you pass the quiz.
Preview the certificate