Course Syllabus

A basic statistical course typically covers the analysis of univariate and bivariate data, and it introduces statistical inference using confidence intervals and hypothesis tests. In this course we take the next step in mastering the fundamentals of data science. We explore multivariate data with numerical and graphical tools, study multivariate distributions and tackle the problem of multiple testing. We build linear regression and ANOVA models, conduct inference and verify the model assumptions. Throughout the course we emphasize the benefits of data visualization, exploratory data analysis and outlier detection. All analyzes are performed using R.