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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.
What is A/B Testing?
· A/B testing on web traffic
· A/B testing on newsletter and email
· A/B testing vs. multivariate testing
· 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
About the presenter:
Raja Tanveer Iqbal is the Founder of Data Science Dojo, one of the best-rated data science training companies in the world. Data Science Dojo’s mission is to make data science skills accessible to everyone. Raja and and his team have trotted the globe to train over 2,800 aspiring data scientists from 400+ companies.
Completely rehabilitated now, Raja once suffered from the harmful addiction of a monthly salary*. As a paycheck addict, Raja worked at Microsoft Corporation for over six years in various roles, solving problems in organic and paid search. When not doing data science, Raja likes to go around educating people about the dangers of salary addiction.
Raja has a Ph.D. Computer Science with a focus on computer vision and data mining.
*For those who get the reference, Raja is still struggling with his carb addiction. Fortunately, he has never been a heroin addict.
At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 2700+ employees from over 400 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook.
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