Introduction to statistics with R (part I): data description and basic inference
This course introduces 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.
Mode of Participation
The course will be taught in person with the possibility of remote participation through streaming lessons and recordings.
- 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.2.3
- Category: BASIC TECHNOLOGY SKILLS
Prerequisites
Doctoral students from any discipline interested in the practical application of basic statistical methods for data analysis in scientific research.
How To Apply
Contact for registration: dottorati@unimib.it
Course registration period
OPENING of registrations: 21/12/2026
CLOSING of registrations: 12/01/2027
Objectives
The course, through lectures and computer lab sessions, aims to provide basics notions of statistics to plan and analyze the results of a scientific study or experiment.
At the end of the course the participants should be able to choose the most suit-able design for their study, compute the optimal sample size, perform a graphical and tabular description of the data collected and analyze the association between variables through proper measures and hypothesis testing.
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
● Lab session with
- 20 January 2027 9.30 am – 1.30 pm
- 22 January 2027 9.30 am – 1.30 pm
- 27 January 2027 9.30 am – 1.30 pm
- 28 January 2027 9.30 am – 1.30 pm
Multiple-choice question test
4 - Quality Education
The course, through lectures and computer lab sessions, aims to provide basics notions of statistics to plan and analyze the results of a scientific study or experiment.
At the end of the course the participants should be able to choose the most suit-able design for their study, compute the optimal sample size, perform a graphical and tabular description of the data collected and analyze the association between variables through proper measures and hypothesis testing.
Name of the faculty: Prof. Davide Paolo Bernasconi
Contact for registration: dottorati@unimib.it