This course is an applied statistics course with an emphasis on data analysis. In this course we will study several statistical modeling techniques and discuss real- life problems over which we’ll have a chance to apply statistical tools to learn from data. We will be covering some of the fundamental statistical methods like linear regression, principal component analysis, cross-validation and p-values. The lectures are designed to help the participants apply these techniques on data sets using a statistical programming language.