Statistics for Data Science I
Introduction to statistical thinking and analysis
₹999
₹349
Course Syllabus
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
Ready to start learning?
Join thousands of students mastering Statistics for Data Science I