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Designing Experiments
Design experiments that give answers you can trust: controls, randomisation, blinding, fair comparisons, ablations, A/B tests, natural experiments and a written plan before you start.
18 video lessons · about 32 min · free to study
Studying is free. The certificate is for members.
Join APJ-RAISE to do the project, take the quiz and get your certificate. Free, about 3 minutes.
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Watch · module 1Why design matters3 lessons
Watch · module 2Variables and bias3 lessons
Watch · module 3Fair comparisons in ML3 lessons
Watch · module 4Controls and checks3 lessons
Watch · module 5Online and field experiments3 lessons
Watch · module 6Planning3 lessons
- Graded · step 1Hands-on project
Your experiment plan. Checked by a reviewer.
- Graded · step 2Graded test
20 questions · 30 minutes · 70% to pass · sign in to take it
- FinishYour certificate
For members. Joining is free and takes about 3 minutes.
What you will learn
- Explain why controls and randomisation make results trustworthy
- Spot confounders, and use blinding to remove hidden bias
- Compare ML methods fairly: equal tuning, many seeds, no leakage
- Design ablations, positive and negative controls, and sanity checks
- Run A/B tests without peeking, and find natural experiments when you can't randomise
- Write a pre-registered test plan and run a pilot first
Who it is for: Students about to run a study, a user test or an ML comparison. Statistics for Researchers helps but is not required.