ITA | ENG
B028396 - Workshop in data analysis
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Further information
Type of Assessment
Course program
Sustainable Development Goals 2030
Academic Year 2023-24
Course year
Third year - Second Semester
Belonging Department
Economics and Management (DISEI)
Course Type
Single education field course
Scientific Area
SECS-S/03 - ECONOMIC STATISTICS
Credits
3
Teaching Hours
24
Teaching Term
19/02/2024 ⇒ 31/05/2024
Attendance required
Yes
Type of Evaluation
Giudizio Finale
Course Content
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Course program
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Lectureship
Teaching Language
Italian
Course Content
Introduction to the software R. Descriptive statistical analysis. Time series exploratory analysis. Time series models.
Suggested readings (Search our library's catalogue)
Lecture material (slides, R scripts and data sets) will be posted on the Moodle class web page.
Information on manuals that use R for statistical analysis and on websites dedicated to R will be provided during the course.
Information on manuals that use R for statistical analysis and on websites dedicated to R will be provided during the course.
Learning Objectives
The objective of the course is to provide basic knowledge and skills on the statistical analysis of data using R. The lab sessions aim to apply the methods presented in the previous statistical courses (B018993-Statistica - , and B018994-Statistica Economica) and to highlight the operational problems connected with applications on actual data.
Knowledge and understanding: Know and understand the operational basics of the software R for the statistical analysis of economic data.
Application of knowledge and understanding: The student must be able to apply the statistical analysis procedures in R and interpret the results, paying particular attention to the nature and reliability of the data analyzed and to the potential and limitations of the models and methods used.
Knowledge and understanding: Know and understand the operational basics of the software R for the statistical analysis of economic data.
Application of knowledge and understanding: The student must be able to apply the statistical analysis procedures in R and interpret the results, paying particular attention to the nature and reliability of the data analyzed and to the potential and limitations of the models and methods used.
Prerequisites
It is assumed that students are familiar with basic descriptive and inferential statistics. Furthermore, knowledge of the statistical methods provided in the course B018994-Statistica Economica is required.
Teaching Methods
Lab sessions. Attendance of the course is mandatory.
Further information
In order to get access to the Moodle class web page students are required to send an e-mail request to the teacher. The e-mail must be sent from the institutional UNIFI address.
Type of Assessment
The oral examination involves discussing homework (in the form of R scripts) assigned during the course.
Course program
R environment. Numbers, characters, factors, vectors, matrices, data frames, lists, objects. Packages and libraries. Reading in data from external files. R scripts. RStudio. Descriptive statistical analysis. Graphical procedures. Time series objects in R. Time series exploratory analysis. Time series models applications: composition/decomposition models, moving averages, ARIMA models, a priori and automatic identification.