Course by Dr Sabarinathan and Mahesh Sankaran.

This course covers some of the basic and intermediate statistical methods and principles necessary for the analysis and interpretation of biological data.

Overall Syllabus:

-Descriptive statistics (central tendency and variance)
-analysis of univariate and multivariate data
-hypothesis testing and group comparison (parametric and nonparametric tests)
-Experimental design
-Linear models, Generalized linear models
-P-values, multiple hypothesis testing and limitations
-power and sample size calculation
Course structure:16 classes (8 weeks) + one project
Prerequisites: Basic programming skills in R or Python is preferred but not necessary.