DataHour: Causal Experimentations - When A/B Test is Not Possible
DataHour: Causal Experimentations - When A/B Test is Not Possible
01 Nov 202215:11pm - 01 Nov 202216:11pm
DataHour: Causal Experimentations - When A/B Test is Not Possible
About the Event
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.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
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.
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Registration Details
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