In this course, we will explore various popular statistical methods used in data science. The course will be both theoretical (mathematical) and applied (data- analytic). The mathematical theorems and proofs are an essential part of the course.
Part I: Standard Advanced Statistics topicsBayesian Analysis, Analysis of Variance, Bootstrap (Parametric and Non-Parametric), Generalized Linear Regressions, Generalized additive model etc.Part II: Statistical Methods for the 21st century data analysis
Principal Component Analysis, Large Scale Hypothesis Testing, Ridge and Lasso Regressions, Random Forest, Support Vector Machines etc.
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