This intermediate course offers a modern approach to statistics with a twofold objective. 

On one hand, building on the students’ knowledge of the fundamental notions and methods of statistics, this course introduces students to the theory and practice of three main statistical concepts: i. estimation algorithms, ii. inference on these latter and iii. simple statistical modeling.

On the other hand, this course introduces students to the free software R as a tool for data analysis. The structure and the scope of this introduction to R will follow and complement the treatment of the theoretical concepts. The aim is to allow students to carry statistical analyses on real-world data as well as to produce and learn from simulated data.

Prerequisites: Statistics for Business and Economics