59 min listen
A/B Testing - Jakob Graff
FromDataTalks.Club
ratings:
Length:
54 minutes
Released:
Feb 25, 2022
Format:
Podcast episode
Description
We talked about:
Jakob’s background
The importance of A/B tests
Statistical noise
A/B test example
A/B tests vs expert opinion
Traffic splitting, A/A tests, and designing experiments
Noisy vs stable metrics – test duration and business cycles
Z-tests, T-tests, and time series
A/B test crash course advice
Frequentist approach vs Bayesian approach
A/B/C/D tests
Pizza dough
Links:
Jakob's LinkedIn: https://www.linkedin.com/in/jakob-graff-a6113a3a/
Product Analyst role at Inkitt: https://jobs.lever.co/inkitt/d2b0427a-f37f-4002-975d-28bd60b56d70
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
Jakob’s background
The importance of A/B tests
Statistical noise
A/B test example
A/B tests vs expert opinion
Traffic splitting, A/A tests, and designing experiments
Noisy vs stable metrics – test duration and business cycles
Z-tests, T-tests, and time series
A/B test crash course advice
Frequentist approach vs Bayesian approach
A/B/C/D tests
Pizza dough
Links:
Jakob's LinkedIn: https://www.linkedin.com/in/jakob-graff-a6113a3a/
Product Analyst role at Inkitt: https://jobs.lever.co/inkitt/d2b0427a-f37f-4002-975d-28bd60b56d70
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
Released:
Feb 25, 2022
Format:
Podcast episode
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