ECTS
3 credits
Component
Faculty of Science
Hourly volume
21h
Description
- Introduction to statistics and the scientific approach
Scientific approach
Data structuring
Descriptive statistics
Overview of analysis methods
A critical look at the statistics
- Univariate analyses
Comparison tests
Compliance of a distribution
Simple regression and analysis of variance/covariance
- Multivariate analysis
Correlations and principal component analysis
Multiple linear regression
Non-linear adjustments
- Classification and discrimination
Classification (supervised, unsupervised)
Segmentation and discrimination
- Statistical analysis tools
Introduction to R software
Objectives
The "Data Analysis" course aims to teach the main methods of statistical analysis, to enable students to acquire a rigorous approach to analysis, and to develop a critical mind on the interpretation of results.
Targeted competencies
- Understand the role of statistics in a rigorous scientific approach
- Organize data for analysis
- Formulate an analysis need in statistical terms
- Implement univariate and multivariate statistical analysis
- Interpret the results of a univariate and multivariate analysis
- Know the main segmentation methods
- Manipulating data with R
- Use R functions to analyze data