UDUdemy
A/B Testing and Experimentation for Businesses
Intermediate 5 hours English Completion Certificate Certificate
About this course
This course covers the full A/B testing lifecycle: formulating hypotheses, calculating required sample sizes, designing controlled experiments, collecting data without peeking, and interpreting results with statistical rigor. Students learn the most common A/B testing mistakes — underpowered tests, multiple comparison problems, and novelty effects — and how to avoid them.
The curriculum also covers multi-variate testing, sequential testing methods, and Bayesian A/B testing as an alternative to frequentist approaches.
What you'll learn
Design A/B tests with proper hypothesis formulation and success metrics
Calculate statistically powered sample sizes before running experiments
Analyze results correctly while avoiding multiple comparison errors
Implement sequential testing to make faster experiment decisions
Apply Bayesian approaches to A/B testing for more intuitive inference
This course includes
5h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
Comparison · LBS
Compare alternatives for A/B Testing and Experimentation for Businesses
Same topic, different options. We surface the trade-offs others hide so you can pick the course that actually fits your time, budget, and goals.
UDUdemy4.5(5,000)
A/B Testing and Experimentation for Businesses
- Price
- PaidOne-time purchase, sales ~$15
- Duration
- 5 hrs
- Level
- Intermediate
- Certificate
- Completion Certificate
MOMIT OpenCourseWare4.9(15,000)
Linear Algebra (18.06)
- Price
- FreeCompletely free, openly licensed — no certificate
- Duration
- 34 hrs
- Level
- Intermediate
- Certificate
SOStanford Online4.9(9,000)
CS231n: Deep Learning for Computer Vision
- Price
- FreeFree lecture materials; some versions paid
- Duration
- 50 hrs
- Level
- Advanced
- Certificate
SOStanford Online4.9(7,000)
CS224n: Natural Language Processing with Deep Learning
- Price
- FreeFree lecture materials; some versions paid
- Duration
- 50 hrs
- Level
- Advanced
- Certificate
Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Instructor
MM
Mike Marin
Udemy instructor
65K+ learners5 courses4.5 instructor rating
Taught by data science practitioners on Udemy with industry experience running large-scale product experimentation at tech companies.
Requirements
- Basic statistics knowledge; some familiarity with data analysis helpful
Who this course is for
- Product managers and growth teams who run or design A/B tests
- Data analysts responsible for experiment analysis
- Engineers building experimentation infrastructure
About this provider
UD
Udemy
The world's largest online learning marketplace. 65M+ students, 210,000+ courses.
Frequently asked questions
Helpful but not required — the core concepts are statistical, and examples are shown with accessible tools.
Frequentist answers 'is this result statistically significant?'; Bayesian answers 'what's the probability variant B is better?' Both are covered.