Online Experimentation and A/B Testing

In this meetup, I will give a quick introduction to online experimentation and A/B testing.

To keep the tutorial self-contained, I will first give an overview of stats fundamentals needed to understand A/B testing. I will explain how A/B testing is done in an online business. In the end, I will mention some of the pitfalls that are common when running online experiments.

Outline:

What is A/B Testing?

· A/B testing on web traffic

· A/B testing on newsletter and email

· A/B testing vs. multivariate testing

Online Experimentation Fundamentals

· Understanding the terminology. Control, treatment, factor, level, A/B, A/A

· Null and alternate hypothesis. Type I and Type II error

· Power and sample size selection. Confidence intervals

· Metrics for evaluation and categories

· Segmentation

More info: https://www.meetup.com/data-science-dojo/events/242012736/

For More Meetup Videos Visit : https://tutorials.datasciencedojo.com/r-programming/

 

https://tutorials.datasciencedojo.com/machine-learning/

 

 

(546)

About The Author
- Data Science Dojo is a paradigm shift in data science learning. We enable all professionals (and students) to extract actionable insights from data.

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>