Statistical Analysis of Data
A.Y. 2019/2020
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.
Lesson period: Second semester
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
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
- 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
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
Lessons: 24 hours
Professor:
Baldi Lucia
Shifts:
-
Professor:
Baldi LuciaProfessor(s)
Reception:
on appointment
Via Celoria 2, Milan, Italy, 3rd floor (or by Skype/Teams/Zoom)