DATA ANALYSIS

The course is one of the interdisciplinary activities of the three-year degree course in Business Economics and Management that allows students to acquire the knowledge and understanding of some of the main statistical concepts and their use in administrative and business management activities. The aim of the course is to provide students with skills that allow them to view, extract and interpret information from sample surveys and available databases to plan strategies to support decision making.

Frontal lectures, the study and analysis of the reference texts and the suggested materials, will allow students to:

1. Knowledge and understanding
1.1 know the terminology and basic principles of descriptive and inferential statistics of analysis of business phenomena

2. Ability to apply knowledge and understanding
2.1 know how to extract, interpret and communicate information originating from sample surveys and available databases
2.2 understand the main aspects of the descriptive and inferential statistical analyses
2.3 know how to choose and apply statistical models for the analysis and prediction of business phenomena

3. Making judgements
3.1 be able to critically assess the reliability of the assumptions underlying the analyzes carried out
3.2 be able to assess the goodness of the models proposed and the results achieved

4. Communication
4.1 know how to present information extracted from sample surveys and available databases
4.2 be able to successfully analyze the proposed models and the results achieved

To have achieved the learning outcomes of the course of STATISTICS. In particular, the student should master the basic concepts of descriptive and inferential statistics.

The list of prerequisites is available on the webpage http://www.unive.it/pag/203/

During the course the following topics will be analyzed:

1. Extraction of information from sample surveys and databases
2. Summary statistics, frequency tables and graphical representations of the available information
3. Elements of inferential statistics
4. Linear and non linear statistical models

In order to support the theoretical knowledge acquired during the course, each theme will be developed through the use of the statistical software R.

Hermann C, Schomaker M, Shalabh
Introduction to Statistics and Data Analysis.
Springer, 2016 (chapters 1-4; 9-11)

Slides, data and all the reference material needed to follow the course and achieve the expected learning outcomes are available on the e-learning platform moodle.unive.it

The verification of learning takes place through a written test in the computer room. Students will be asked to analyze a set of data and to answer some questions in order to verify the mastery of a minimum set of basic knowledge and the skills acquired in the elaboration, interpretation, analysis and communication of available information.

The course consists of lectures to introduce various statistical methods for organizing, visualizing, and analysing information available through sample surveys and available databases.
The methods and models analyzed will be discussed and illustrated through the statistical software R (www.r-project.org).

English

Students are required to register on the e-learning platform (moodle.unive.it). Access information will be provided at the beginning of the course.

Accessibility, Disability and Inclusion
Accommodation and support services for students with disabilities and students with specific learning impairments

Ca' Foscari abides by Italian Law (Law 17/1999; Law 170/2010) regarding support services and accommodation available to students with disabilities. This includes students with mobility, visual, hearing and other disabilities (Law 17/1999), and specific learning impairments (Law 170/2010). If you have a disability or impairment that requires accommodations (i.e., alternate testing, readers, note takers or interpreters) please contact the Disability and Accessibility Offices in Student Services: disabilita@unive.it.

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