Introduction to statistics with R (part I): data description and basic inference

INVEST Transversal Courses

This course provides an introduction to basic statistical concepts essential for designing and analyzing scientific studies. Through a combination of lectures and hands-on lab sessions using R, participants will learn how to choose the appropriate study design, calculate optimal sample sizes, summarize data visually and numerically, and analyze variable associations using hypothesis tests. By the end of the course, participants will be equipped to apply statistical methods to real-world research questions, ensuring accurate and meaningful data analysis.

Objectives:
The course, through lectures and hands-on lab sessions, aims to provide basic statistical knowledge for planning and analyzing the results of a scientific study or experiment.
By the end of the course, participants will be able to choose the most appropriate study design, calculate the optimal sample size, perform graphical and tabular data summaries, and analyze associations between variables using appropriate measures and hypothesis tests.

 

  • ECTS: 2
  • Total hours: 16
  • Language: English
  • Mode of participation: The course will be taught in presence with the possibility of remote participation through streaming lessons and recordings
  • Course code: INV.TRSVL.10
  • Category: BASIC TECHNOLOGY SKILLS
How To Apply

Contact for registration: dottorati@unimib.it

  • OPENING of registrations: 13 Dec. 2025
  • CLOSING of registrations: 10 Jan. 2026

Course Program
Day 1:

  • Introduction to R language

  • Data summarization: descriptive statistics and graphical representations

  • Lab session with R

Day 2:

  • Introduction to hypothesis testing

  • Parametric tests for quantitative variables

  • Lab session with R

Day 3:

  • Non-parametric tests for quantitative variables

  • Tests for categorical variables

  • Lab session with R

Day 4:

  • Correction for multiple comparisons

  • Sensitivity, specificity, and ROC curves

  • Lab session with R

Tentative dates: 

  • 13/01/2026 9 am -1 pm CET
  • 15/01/2026 9 am -1 pm CET
  • 20/01/2026 9 am -1 pm CET
  • 22/01/2026 9 am -1 pm CET

Multiple-choice question test

4 - Quality Education

The course, through lectures and hands-on lab sessions, aims to provide basic statistical knowledge for planning and analyzing the results of a scientific study or experiment.
By the end of the course, participants will be able to choose the most appropriate study design, calculate the optimal sample size, perform graphical and tabular data summaries, and analyze associations between variables using appropriate measures and hypothesis tests.

Name of the faculty: Prof. Davide Paolo Bernasconi 

Contact for registration: dottorati@unimib.it

Courses in the same category
Literature review 1: using the best searching tools - 1st e 2nd year PHD students Literature review 2: managing and evaluating your bibliography - 3rd/2nd year PhD students Introduction to statistics with R (part II): linear and logistic regression models Productivity tools for (young) researchers Digital technologies for research in humanities and social sciences General and statistical methods of scientific research Quality Management II Strategic Management II Data Mining II