DataHour: Causal Experimentations - When A/B Test is Not Possible

Online 01-11-2022 08:30 PM to 01-11-2022 09:30 PM
  • 5215


  • Knowledge and Learning


DataHour Recording

About the DataHour:

A/B tests are the bread and butter for product companies to evaluate how well their new changes are doing. But not all experiments can be A/B tested. What do we do in these cases?

In this DataHour, Aashay will introduce with you the methodology which is used when A/B testing is not applicable : Casual Experimentation. He will demonstrate how you can perform casual experimentation and its practical applications.

Prerequisites: Keen interest in learning Data Science.

Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth


Aashay Sachdeva

Senior Data Scientist at Mobile Premier League (MPL)

Aashay is currently working as a Senior Data Scientist with Mobile Premier League (MPL). He has more than 4 years of experience in the domain of Data Science. He has completed his graduation from VIT (Vellore Institute of technology) in IT domain and has proficiency in C++,Python,TensorFlow,Keras.

Connect with Aashay on linkedin.


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