Introduction to Statistics and Data Science II

Course content

Basic statistical analyses in different types of data. Sampling distributions of distinct data sources. Inferential statistics in the data science. Estimation, confidence intervals and hypothesis testing under various data types. Distribution fitting and analysis of variance for one factor design in a given dataset. Linear regression and association between two categoric variables. Basic nonparametric procedures under various data types.