Checking date: 25/11/2020

Course: 2022/2023

Basic Statistics
Study: Master in Social Sciences (325)


Department assigned to the subject: Department of Social Sciences

Type: Additional training
ECTS Credits: 2.0 ECTS


Learning outcomes Mastery of the fundamental concepts and formulas of descriptive statistics. Interpretation of graphs and tables. Mastery of statistical software.
Skills and learning outcomes
Description of contents: programme
1. Univariate analysis of data 2. Graphical representation of data 3. Contingency tables. 4. Association between variables. 5. Correlation analysis. 6. Bivariate diagrams.
Learning activities and methodology
Competencies will be acquired by students through: I] Master classes: 5 sessions II] Practical classes: 5 sessions Activities [I] and [II] will be devoted to developing exercises, problems, and case studies.
Assessment System
  • % end-of-term-examination 50
  • % of continuous assessment (assigments, laboratory, practicals...) 50
Basic Bibliography
  • Thomas Cleff. Exploratory Data Analysis in Business and Economics. An Introduction Using SPSS, Stata and Excel. Springer. 2013
Additional Bibliography
  • JAMES, G., WITTEN, D., HASTIE, T. and TIBSHIRANI, R. . An Introduction to Statistical Learning with Applications in R. Springer Verlag. 2013

The course syllabus may change due academic events or other reasons.