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DataHour: A/B testing - Theory, Practice and Pitfalls

Online 22-02-2023 08:30 PM to 22-02-2023 09:30 PM
  • 7139

    Registered

  • Knowledge and Learning.

    Prizes

About the DataHour:

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. 


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


Note:
E-certificates will be provided within 24 - 48 hours of the session only to those who have attended the entire webinar. Please make sure to join the zoom webinar with your correct name and email address to ensure that your certificate is properly credited to you.


Speaker:

Srimugunthan Dhandapani

Data science-Lead at Verizon AI&D

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.

Connect with him on Linkedin

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