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96800 - STATISTICAL SOFTWARE FOR BUSINESS (LABORATORY)

Academic Year 2021/2022

                
                        Docente:
                        Marco Berrettini
                    
                        Credits:
                        6
                    
                        Language:
                        English
                    
                        Teaching Mode:
                        Traditional lectures
                        
                            Campus:
                            Bologna
                        
                            Corso:
                            Second cycle degree programme (LM) in
                            Statistics, Economics and Business (cod. 8876)

                            Teaching resources on Virtuale

Learning outcomes

At the end of the course the student is able to use different statistical software useful to explore and analyse commonly used business data structures, as well as to manipulate and integrate data from different sources. Moreover, the student knows the modern tools for graphical representation currently used for Business Data Visualization. In particular the student is able: - to use SAS and R programming and tools to clean, arrange, select and manipulate business data, and the basics of using logical operators to pre-process data; - to use SAS and R programming and tools explore business data; - to program using Python language to manage applications, management systems and digital systems transversal to many industries and companies.

Course contents

Downloading and installing
Session management
Language essentials
Data entry
Descriptive statistics and graphics
Hypothesis testing
(Generalized) linear models
Programming

SAS

Introduction, the interface
Importing data
Creating reports
Summarizing and graphing data
Basic statistical procedures

Python

Overview

Readings/Bibliography

P. Dalgaard (2008). Introductory statistics with R (Second Edition). New York: Springer.
Delwiche, L.D., & Slaughter, S.J. (2012). The Little SAS Book: A Primer (Fifth Edition). SAS Institute.

Teaching methods

Computer laboratory sessions.

Assessment methods

The final exam aims at evaluating the acquired capability to exploit statistical softwares for elaborating a report.

By the exam day, students will be asked to choose among a list of projects, each consisting in the analysis of a specific data set, which will have to be carried out on R and/or SAS. The results of the study will be presented during the exam, focusing also on the functions/procedures used. Some related questions can be asked during or after the presentation.

Evaluation will be expressed in terms of elegibility (binary outcome: passed or not).

Teaching tools

Slides
Datasets
Scripts

Office hours

See the website of Marco Berrettini