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In this course, you will learn :
- A solid statistical foundation is required for making sense of data in any field, but most courses focus on theory rather than modern use cases.
- Learn the concepts and techniques you'll need to know to tackle common real-world problems like analysing AB tests and creating regression models.
- Learn about binomial distribution where each observation represents one of two outcomes and derive the probability of a binomial distribution.
Syllabus :
- Simpson’s Paradox
- Binomial Distribution
- Bayes Rule
- Sampling Distributions and Central Limit Theorem
- Hypothesis Testing
- T-Tests and A/B Tests
- Logistic Regression
