Statistical analysis of data

A.Y. 2019/2020
4
Max ECTS
40
Overall hours
SSD
AGR/01
Language
Italian
Learning objectives
This course is aimed at providing students with the necessary tools to deal with those situations in which elaborations of empirical data are required.
Expected learning outcomes
At the end of the course the student will be able to manage bank data and find the best solutions for creating databases, he will be able to create graphs and tables and identify the best statistical tools to find. At the end of the course the student will have developed skills related to the main statistical softwares and to the ways of communicating the results obtained from the processing of empirical data.
Course syllabus and organization

Single session

Responsible
Lesson period
Second semester
Course syllabus
- Use of public and private databases for the analysis of environment and economy
- Basic principles of the use of the excel
- Short notices of most frequently used statistical methodologies (descriptive and inferential)
- Use of the "Data analysis" package of the Excel
- Creation of a personal project through the use of databases, excel and power points
Prerequisites for admission
Student should be familiar with the statistical language
Teaching methods
The course will take place completely in an IT laboratory
Teaching Resources
1) Material provided by the teacher on Ariel
2) Articles and sites provided by the teacher
3) optional: "Introduction to Statistics", by M. K. Pelosi and T. M. Sandifer, ed. McGraw-Hill, 2009
Assessment methods and Criteria
The exam includes the delivery and presentation of a personal work that the student will carry out gradually during the course
AGR/01 - AGRICULTURAL ECONOMICS AND RURAL APPRAISAL - University credits: 4
Practicals: 16 hours
Lessons: 24 hours
Professor: Baldi Lucia
Educational website(s)
Professor(s)
Reception:
on appointment
Via Celoria 2, Milan, Italy, 3rd floor (or by Skype/Teams/Zoom)