- Random Experiment Outcomes, Events, Sample Space Probability
- Random Variable, Probability Mass Function, Probability Density Function & Cumulative Density Function
- Conditional Probability, Bayes Theorem & Independence of Events
- Expectation, Variance, Covariance & Correlation
- Puzzles
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Probability and Statistics
March 15, 8:30PM
Topics
Speaker
He is final year undergraduate at IIT Madras. Incoming Software Development Engineer at Navi Technologies. Previously, has interned at Digital Horizon as an AI Engineer.
Case Study
March 7, 7:00PM
Topics
- Why case study is important
- Commonly asked interview cases
- How to prepare for case study
- Speaker's Journey and Q&A
Speaker
She is a 2018 graduate from IIT Kanpur. She is currently the Lead for Strategic Initiatives and Growth at BharatPe. Prior to BharatPe, she was a consultant at PwC US Advisory. She has also interned as a Field Engineer at Schlumberger and was a research scholar at Kent State University
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