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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:Â 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
Participate in discussion
Registration Details
Registered
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- Professional Exposure
- Networking Opportunities
- Thought Leadership
- Knowledge Exchange
- Leading-Edge Insights
- Community Contribution
