A/B Testing

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Below are the top discussions from Reddit that mention this online Udacity course.

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Reddit Posts and Comments

0 posts • 9 mentions • top 6 shown below

r/datascience • comment
25 points • pieIX

The Udacity A/B testing course is the best introductory resource out there imo.

r/datascience • comment
1 points • hawyeet

anyone have any resources they could share on A/B testing case study questions? or A/B testing from the perspective of designing and and implementing the actual experiment rather than purely the stats aspects of it? my current plan is to go through parts of this A/B testing course on udacity.

r/UXResearch • comment
1 points • bottles24

There is a free course on A/B testing on udacity : https://www.udacity.com/course/ab-testing--ud257

I would recommend getting familiar with the tools used in the project and google the methods used in quant research when you need to apply them.

r/AskStatistics • comment
1 points • da_chosen1

Audacity has their the best A/B testing course I've seen https://www.udacity.com/course/ab-testing--ud257

r/UXResearch • comment
1 points • lobobuk

I haven't actually done them yet but planning to do the following courses

Statistics fundamentals: https://www.udacity.com/course/intro-to-descriptive-statistics--ud827 https://www.udacity.com/course/intro-to-inferential-statistics--ud201

UX experiments; https://www.udacity.com/course/ab-testing--ud257

All are free and pretty well structured. I feel like you should start with free courses then do the paid ones if you still feel the need.

By the way, I'd be interested if anyone knows of any quantitative usability testing courses.

r/statistics • comment
1 points • shellfish_bonanza

As an compromise you can try to take this series of courses (https://www.edx.org/micromasters/mitx-statistics-and-data-science) I'm currently taking the mathematical statistics course and enjoying it.

I see a lot of Masters/PhDs from other disciplines do well as data scientists at my company - they mostly self learn and the area for these PhDs are usually in business/product strategy.

I would strongly recommend getting good at SQL - this is the bread a butter (you wrangle and aggregate data in SQL before pulling into R/python) and experimental design (A/B testing).