R-SCool: Data Analysis with R
R-SCool: Data Analysis with R
The School in R-SCool: Data Analysis with R is an intensive course in quantitative data analysis aimed at both beginners, with no prior knowledge of statistics or R software (Week 1), and participants with basic knowledge in these two fields (Week 2). In the first week, participants will be introduced to R software and the fundamentals of quantitative data analysis, focusing on model comparison, graphical visualization, estimation of bivariate models, and construction and interpretation of multiple linear regression and logistic regression models. In the second week, the course focuses on using the R ecosystem to manage data and report results. Tools for producing reports and presentations with Quarto, project management with GitHub, dissemination of materials on OSF, creation of interactive dashboards with Shiny, bibliometric analysis with Bibliometrix and website development with Blogdown will be covered.
Target Audience
The school is aimed at researchers, higher education students and technical professionals who wish to acquire basic knowledge of quantitative data analysis. No prior experience in quantitative analysis or specific programming knowledge is required; The course is designed to meet the needs of participants who are just starting out in this field.
Tuition Fee
| General Public | 600 € |
| ICS Community* | 300 € |
| Early Bird 1 (applications until 6 June 2025) | 180 € |
| Early Bird 2 (applications until 20 June 2025) | 300 € |
The amounts do not contemplate the application fee (10 €), enrolment fee (25 €), attendance fee and the issue of a certificate in Portuguese (10 €).
* The ICS Community will have access to the discount for Early Bird 1 as long as their applications are submitted within the deadline indicated.
This course allows for enrolment in isolated modules with the following fees:
| General Public | Early Bird 1 | Early Bird 2 | |
| Module 1 | 80 € | 24 € | 40 € |
| Module 2 | 160 € | 48 € | 80 € |
| Module 3 | 160 € | 48 € | 80 € |
| Module 4 | 200 € | 60 € | 100 € |
The application fee (€20) and the enrolment fee (€25) are added on to these amounts.
Alda Botelho Azevedo
Cícero Roberto Pereira
João Oliveira Santos
Mariana Carmo Duarte
Pablo Cabás
Marcelo Camerlo
Module 1: R Software
Description: Practical introduction to the R language and the RStudio environment, focusing on data manipulation and analysis techniques, enabling participants to use the essential tools to work efficiently with R.
Requirements: None
Date and time: 7 July 2025 - 9:00 am to 5:00 pm
Teacher: Marcelo Camerlo
ECTS Credits: 1
Module 2: From Zero to Logistic Regression
Description: The module is divided into two parts: (a) Introduction to quantitative data analysis, focusing on model comparison, research problem solving, graphical visualization and estimation of bivariate models; (b) Construction and interpretation of multiple linear and logistic regression models for predictive and explanatory analyses.
Requirements: Basic knowledge of R.
Dates and time: 8 to 11 July 2025 - 9:00 am to 1:00 pm
Teacher: Alda Botelho de Azevedo
ECTS Credits: 1
Module 3: Introduction to Data Analysis through the Model Comparison Approach
Description: This module presents the Model Comparison Approach as a strategy for statistical analysis. Participants will learn to formulate, estimate and interpret different statistical models, evaluating hypotheses by comparing alternative specifications.
Requirements: Basic knowledge of R.
Dates and times: 8 to 11 July 2025 - 2:00 pm to 6:00 pm
Teacher: Cícero Pereira
ECTS Credits: 1
Module 4: R in Action: Designing, Visualizing, and Communicating with R
Description: This module introduces tools from the R ecosystem to transform data into accessible, reproducible, and creative knowledge. In five sessions, we will learn how to: (1) Produce reports and presentations with Quarto, and create graphs with ggplot2; (2) Share and disseminate materials on OSF, as well as manage projects with GitHub; (3) Produce interactive applications and dashboards with Shiny; (4) Perform bibliometric analyses with Bibliometrix; (5) Create websites with Blogdown.
Requirements: Basic knowledge of R.
Dates and times: 14 to 18 July 2025 - 9:00 am to 1:00 pm
Teacher: João Oliveira Santos, Mariana Carmo Duarte, Pablo Cabás
ECTS Credits: 2
Assessment Methodology
Assessment will be based on active participation in classes and completion of a set of tasks distributed throughout the course. The tasks will be designed to test the understanding and application of the concepts covered in each module, allowing participants to demonstrate their ability to use the quantitative analysis techniques learned with the help of the R package and language.
Applications
Applications:
- Early Bird 1: until 6 June 2025
- Early Bird 2: until 20 June 2025
- Normal Call: until 1 July 2025
Applications through the ICS FenixEdu platform: https://fenix.ics.ulisboa.pt.
To create a registration, please access https://fenix.ics.ulisboa.pt/accountCreation.
In case you already have a registration, you can recover the access at https://fenix.ics.ulisboa.pt/passwordResetRequest.
In case you already have a student number at ICS, you should use your Campus account credentials. You may recover your access to this account at https://utilizador.ulisboa.pt.
Admission
Each module operates with a minimum of 10 participants.
