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Introduction to Online Experimentation and A/B Testing

Raja Iqbal June 11, 2017 11:48 pm

In this full length segment we discuss A B testing:
Online experimentation is perhaps the most misused of data science techniques. We will walk through the best practices for designing and evaluating A B and multi-variate tests. We discuss how to choose the appropriate metrics, how to detect and avoid errors, and how to properly interpret test results.

More Data Science Material:
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[Video] What is A/A Testing?
[Blog] Ethics in Research: Conducting A/B Testing on Customers

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Category: All, Community Talks, Data Analysis

Tags: A/B testing, Data Visualization, Machine Learning, Predictive Analytics

About The Author

Raja Iqbal - Raja Iqbal is a data scientist, a passionate educator, and an internationally recognized speaker on all things data science. He is the Founder and Chief Data Scientist at Data Science Dojo. Prior to Data Science Dojo, Raja worked at Microsoft in a variety of research and development roles involving machine learning and data mining at very large scale. Raja has a Ph.D in Computer Science from Tulane University with a focus on machine learning and data mining.