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DataHour: Causal Inference in Practice

Online 29-06-2022 08:00 PM to 29-06-2022 09:00 PM
  • 5365

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  • Knowledge and Learning

    Prizes

DataHour Recording

About the DataHour:

Most of us have heard that "Correlation doesn't imply causation " . We are always interested in finding out the association between the variables, not what is the causation. 

Causation brings visibility into the relationship between cause and effect. Causal inference is an emerging field which helps us in understanding why the relationship exists between two variables and explain them in detail.

In this DataHour , we will learn about Causal Inference and how that can be implemented using Python for a particular use case.

Prerequisites: Enthusiasm for learning Data Science and basics of Statistics.

Who is this DataHour for?

  • Students & Freshers who want to build a career in Data Science
  • Working professionals who want to transition to a data science career
  • Data science professionals who want to accelerate their career growth

Speaker:

Prabakaran Chandran

Data & Decision Scientist @ Mu Sigma Inc

Prabakaran is currently working as a Data and Decision Scientist in Mu Sigma, a leading problem-solving company since 2019. He is proficient in Advanced Analytics, Statistics, Python, R, SQL. He has been a part of 2 members team to build AI-based solutions for fortune 500 firms in the area of Computer Vision, Natural Language Processing and Deep learning

You can follow him on Linkedin.

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