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.

K6: Demonstrate basic programming skills in order to use and develop statistical packages C6: Ability to interpret the results of quantitative analysis, prepare clear reports and communicate conclusions effectively, using advanced data analysis tools. C7: Ability to access, analyze and classify large volumes of data of a highly heterogeneous nature (Big Data), as well as to manage and design advanced data analysis and AI tools in social and business applications. S1: To plan and organize team work making the right decisions based on available information and gathering data in digital environments. S6: Communicate the results, the conclusions of the models and the proposed solutions in a way that is intelligible to the rest of the company, so that they are accepted and implemented by the decision-makers

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.