COMPUTER LAB FOR ECONOMIC DATA ANALYSIS

Single discipline educational activity

Course Sheet

Course code:

LIDE20

Academic Year of enrolment:

2023

Year of supply:

2023/2024

Degree:

Course of 2nd Cycle Degree in ECONOMICS AND FINANCE OF FIRM AND ECOSYSTEMS

Location:

PESCARA

Credits:

Programme Year:

Professor and Collaborators:

FENSORE STEFANIA

Cycle:

First semester

Hours of classroom activity:

Individual study hours:

Prerequisites:

Statistics

Objectives

LEARNING OBJECTIVES
The course pursues the general objective of the master’degree to provide knowledge and skills for executive functions in the economic-financial area of private or public companies.
At the end of the course, the student is able to use the R software for the analysis of economic and/ or financial data, to conduct exploratory data analysis on economic phenomena of interest.
To this end the course proposes to transmit the following skills and knowledge:

KNOWLEDGE AND UNDERSTANDING
At the end of the course, students will be able to
• Acquiring an understanding of R, a popular statistical software that is increasingly being used in business and desired by employers
• Gaining experience in using R software to execute various functions
• Acquisition and manipulation of economic and financial data
• Applying statistical methods using real economic data
• Integrating software and economic/statistical knowledge by producing high-quality written reports.

AUTONOMY OF JUDGMENT:
The student will be able to analyze and evaluate the main statistics and graphic tools obtained with the use of the statistical software R.

COMMUNICATION SKILLS:
At the end of the course, students will be able to communicate the results of the statistical analyses and the logical reasoning.

ABILITY TO LEARN
At the end of the course, students will be able to carry out individual and group research according to the research objectives that he wants to achieve (tools used: notes, in-depth texts, group exercises in a multimedia classroom using the R software)

Contents

Intro to R and RStudio
R syntax, importing data, basic operations, Vectors and Matrices
EDA with R: Basic statistics, Data visualization and Statistical tests
Loops, scripts and other procedures
Linear models and regression
Modello di regression lineare con R

Extended Syllabus

1) Intro to R and RStudio; Installation; Help and other resources
2) R syntax and objects
3) Importing and writing data
4) Vectors and Matrices
5) Subsetting and other operations on data
6) R packages
7) Basic statistics and data visualization
8) Statistical tests
9) Loops, scripts, and other procedures
10) Linear models and regression

Recommended Bibliography

Lecture notes, slides.

Teaching Methods

The course includes 24 hours of lessons divided into 3 weekly lessons of 2 hours held in the multimedia classroom using the R software. Attendance is strongly recommended.

Evaluation methods

Verification of learning:

To verify the learning, students must create groups of 3-4 people max.
The exam consists of exposing the presentation of the analysis of a real dataset using the statistical software R. The evaluation will be carried out on an individual basis (i.e. not in a group). To obtain the eligibility, the student will also demonstrate the knowledge acquired through individual questions on the programming rules in R. Non-attending students will be able to choose a dataset (to be agreed by e-mail with the teacher before the exam) and bring the related analysis

Contacts/More Information

All information regarding the course, the lecture notes, support materials and exercises and all communications will be available through the e-learning page.
If Health Laws and University regulations allow, teaching activities, teachers office hours’, and exams may take place online (in whole or in part).
For any further information and updates, please refer to the University website.

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

Aree