Sign Up For Free Webinars
	

A/B Testing for Data Science (with Python & R)

Luke Lin
Data Science Academy Bootcamp Instructor
Panelist Spotlight

Luke obtained his doctorate in Mathematics at Stony Brook University, where he concentrated in partial differential equations. As a lifelong learner of mathematics, he is extremely efficient in quantitative analysis and also skilled at communicating abstract concepts. Being extremely passionate to share the insight of data from various industries, Luke looks forward to meeting curious students from all kinds of backgrounds enrolling at the Academy.

Interested in learning Data Science but apprehensive about the statistics and coding requirements? This workshop will be an example of how you can confidently learn fundamental statistics and coding skills needed to understand and practice Data Science. In particular, you will learn the following important concepts:

  • Statistics: A/B testing, hypothesis testing, p-value, permutations, and permutation test.

  • Coding: variables, loops, and functions.

We start by discussing β€œWhat is an A/B test?” and β€œWhy do we use A/B testing?”, followed by several examples of A/B tests in Data Science. Then, we answer the main question of β€œHow is an A/B test done?” with a detailed explanation of the steps involved in the A/B testing process (using didactic animations to illustrate those steps).

 

Afterward, we introduce permutations and the Permutation Test as a good method to do the hypothesis testing part of an A/B test. We explain the Permutation Test process in detail, using didactic animations to illustrate the steps involved.

 

Throughout this process, we provide intuitive explanations for hypothesis testing and the associated statistical concepts. In particular, we provide a clear graphical/visual interpretation of what is the p-value.

 

Finally, we show how to code the learned concepts (from scratch) using both Python and R.

 

This is an introductory-level webinar perfect for anyone interested in learning Data Science. You don’t need prior experience or background in coding nor statistics.

   

About NYC Data Science Academy

NYC Data Science Academy provides data science training programs and courses that prepare people for employment opportunities for data science professionals across all industries.Β 

 

NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. We have graduated over 5000 students at this point!

 

Join our Interactive Distance Learning Bootcamp, and get ready for the next step in your data science career! (https://nycdatascience.com/data-science-bootcamp/)Β