Data Analysis
A.Y. 2019/2020
Learning objectives
The objective of the course is to acquire a solid foundation in applied statistical methodology for the social sciences. By the end of the course students will master the basic toolkit of quantitative research both from a theoretical and a practical/applied standpoint.
Expected learning outcomes
Reach proficiency in various types of univariate and bivariate analyses
Understand what it means to make inference in the social sciences and how to do it in different circumstances
Become competent in hypothesis testing with different types of variables
Master the basic principles of probabilistic sampling and the main types of sampling
Be able to produce basic statistical analyses of quantitative data independently using Stata
Understand what it means to make inference in the social sciences and how to do it in different circumstances
Become competent in hypothesis testing with different types of variables
Master the basic principles of probabilistic sampling and the main types of sampling
Be able to produce basic statistical analyses of quantitative data independently using Stata
Lesson period: First trimester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
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
First trimester
Course syllabus
The syllabus is shared with the following courses:
- [B62-78](https://www.unimi.it/en/ugov/of/af20200000b62-78)
- [B62-78](https://www.unimi.it/en/ugov/of/af20200000b62-78)
Unita' didattica 1
SPS/07 - GENERAL SOCIOLOGY - University credits: 9
Lessons: 60 hours
Professor:
Tommasi Chiara
Shifts:
-
Professor:
Tommasi Chiara
Unita' didattica 2 - Introduction to R
SPS/07 - GENERAL SOCIOLOGY - University credits: 3
Lessons: 20 hours
Professor:
Vegetti Federico
Shifts:
-
Professor:
Vegetti FedericoProfessor(s)
Reception:
Wednesday from 9:00 to 12:00
Via Conservatorio, III floor, Room n. 35