DataHour: A/B testing - Theory, Practice and Pitfalls
DataHour: A/B testing - Theory, Practice and Pitfalls
22 Feb 202315:02pm - 22 Feb 202316:02pm
DataHour: A/B testing - Theory, Practice and Pitfalls
About the Event
Tech companies are now both data driven and also experiment driven. While there are many experimental designs possible, the most commonly used experimental design is Randomized Control Design, also known as A/B testing.
In this datahour, Srimugunthan will cover the following topics in detail:
- Different possible experimental designs and the advantages of using Randomized Control Design.
- Steps of setting up an A/B test.
- Power analysis to decide test duration using use cases.
- Pitfalls of A/B testing pitfalls.
Prerequisites: Enthusiasm in learning Data Science and basic understanding of excel.
- 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
Srimugunthan is currently working as Data science-Lead in Verizon AI&D. Srimugunthan is a data analytics professional with 12+ years experience in tech and 8+ years experience in Big data analytics. His expert domains includeRecommender systems, Reinforcement learning, Experimentation and Causal Inference. He has worked in diverse domains like Travel, Telecom, Consumer internet etc and enjoys solving Data Science problems in these domains. He has completed his masters in computer science from Indian Institute of science and is currently doing Executive MBA in product management.
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