Statistics for Data Science I

Introduction and type of data

Types of data, Descriptive and Inferential statistics, Scales of measurement

Describing categorical data

Frequency distribution of categorical data, Best practices for graphing categorical data, Mode and median for categorical variable

Describing numerical data

Frequency tables for numerical data, Measures of central tendency - Mean, median and mode, Quartiles and percentiles, Measures of dispersion - Range, variance, standard deviation and IQR, Five number summary

Association between two variables

Association between two categorical variables - Using relative frequencies in contingency tables, Association between two numerical variables - Scatterplot, covariance, Pearson correlation coefficient, Point bi-serial correlation coefficient