Programming I (Year 1 - Semester 1) Programming II (Year 1 - Semester 2) Data analysis and visualization (Year 1 - Semester 1)

- Ability to work collaboratively with version control tools. - Knowledge of techniques for automatic presentation of results in reports. - Ability to develop Shiny applications. - Knowledge of the tidyverse environment.

1. Collaborative programming with version control 1.1. Introduction to version control 1.2. Working with branches 1.3. Collaboration platforms 1.4. Best practices for collaboration 2. Advanced R Markdown for reporting 2.1. Notebooks and markup languages 2.2. Types of documents and types of formats 2.3. Advanced elements 2.4. Efficient workflows 3. Dashboards in R 3.1. Dashboard design and layout 3.2. Advanced interactive elements 3.3. Introduction to Shiny 3.4. Deployment of Shiny applications 4. Data handling in the tidyverse 4.1. Review of tidyverse fundamentals 4.2. The dplyr and tidyr packages 4.4. Advanced data transformations 4.5. Functional programming with purrr 5. Extensions to other data sources 5.1. Reading and writing files 5.2. Relational databases (SQL) 5.3. APIs and web scraping

- Theoretical-practical classes: Presentation of concepts, development of the theory, examples, and synchronous work with students. - Group work: Resolution of practical cases proposed by the professor in group activities. - Evaluation sessions: Presentation and discussion in class, moderated by the professor, of the proposed practical cases.