The course gives an introduction to the theory of probability and statistics, data analysis using descriptive statistics and data visualization, and applications of probabilistic modeling in data science.
In the course, the following broad areas will be covered;
- data analysis including descriptive statistics and data visualization probability theory including basic probability calculations, random variables, distributions
- statistical methods including point and interval estimates, hypothesis testing, regression
- probabilistic models in data science applications, for instance, Naive Bayes classifiers and topic models for text or Hidden Markov Models for sequences