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CODE 114462
ACADEMIC YEAR 2024/2025
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR SECS-S/01
LANGUAGE Italian
TEACHING LOCATION
  • GENOVA
SEMESTER 1° Semester

OVERVIEW

We will explore together the fundamentals of the R language, a powerful tool for data analysis. The course will cover the basic concepts of programming in R, data manipulation, and creating graphics. Additionally, we will learn to conduct simple statistical analyses. Through practical and theoretical lessons, you will acquire useful skills to transform data into meaningful information.

AIMS AND CONTENT

LEARNING OUTCOMES

The course aims to provide skills in the quantitative analysis of economic and social phenomena and in the use of R software for statistical data analysis.

AIMS AND LEARNING OUTCOMES

At the end of the course, students will:

  • Know the syntax of R, variable types, and the main libraries for data management and analysis.
  • Be able to import data into R, perform the main data management operations, and conduct descriptive analyses using R functions.

PREREQUISITES

Basic knowledge of descriptive statistics (contents of the first part of the course of Statistics)

TEACHING METHODS

Lectures and practicals with computer. Attendance is mandatory.

SYLLABUS/CONTENT

1. Introduction to R and Rstudio

2. Data types in R: vectors, matrices, data.frame

3. Use of libraries and main libraries in R

4. Data import in R

5. Data handling in R

6. Graphics in R

7. Contingency tables in R

8. Linear regression in R

RECOMMENDED READING/BIBLIOGRAPHY

Course notes provided by the teacher

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

February

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The exam will consist in the preparation and discussion of a small data analysis project in R

ASSESSMENT METHODS

The project serves to evaluate student's ability and autonomy in using R for data analysis.