Economics and Finance

1. Installing and getting started with R Download and setup of R and RStudio Console, scripts and workspace Using help and basic packages 2. Fundamental data structures Vectors, matrices, data frames and lists Importing files Selecting and transforming variables 3. Basic descriptive statistics Types of variables and data structure Mean, median, variance, standard deviation Minimum, maximum, percentiles 4. Data visualization Histograms Boxplots Bar charts Basic scatterplots 5. Standardization and simple transformations Creating new variables Standardizing data Introduction to frequency tables

No formal prerequisites are required. A basic familiarity with computer use and elementary concepts of mathematics may be helpful but is not mandatory.

Teaching materials (slides, exercises, datasets and R script) will be provided during the course.

Class attendance is highly recommended.

The exam consists of a written test with multiple-choice questions and open-ended questions on R and the descriptive statistics covered in class. Some questions may involve interpreting R code or output, without requiring the use of a computer during the exam.

Classes will be based on an in-person type of teaching. A mixed-use of presentations, board and statistical software will be adopted.