5 concepts of A/B testing you should know as a Data Scientist

Let's talk A/B Testing

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[datakido]

this video is so underrated, I did not find better video than this.

[bagavathypriya]

Great informative video. Thanks for this!

[victorviana]

Great Video. Do you have recommendations on materials (articles, papers, videos, ...) to study bayesian testing besides your video about it?

[sujitha]

Can you try posting coding implementations

[pritomroy]

SO A/B testing and ANOVA are the same things,

[samrs]

Highly useful & informative content regarding A/B Testing Procedure. Enjoyed going through your video!!! Of course A/B Testing is the need of the hour and cannot be ignored as rightly stated by you...!!!

However, it would be really helpful if you can elaborate further regarding the further concepts vis-a-vis A/B Testing as enlisted below:
a) Sampling Techniques & Re-Sampling techniques to be adopted.
(Note: I have read that BootStrapping is a comparatively reliable technique for this for achieving accuracy & randomness).
b) Splitting of the Data for A/B Testing
c) Practical Implementation of A/B Testing with real-time examples for eg. Marketing, Healthcare, Logistics, Manufacturing etc. domains within the Industry. (Essentially an End-to-End Process).
d) Duration for establishing the efficacy & reliability of A/B Testing
e) Testing of A/B Test Procedure with Non-Parametric Data

Will appreciate if you can make an attempt to dwell over this at length. Looking forward to yo a favourable & positive response.
(Note: Recently joined your channel on Discord).

[solok]

Ayo nice accent you got there.
How lol??