Government Pavilion, C/ Padre Herrera s/n
Post Office Box 456
38200, San Cristobal de La Laguna
Santa Cruz de Tenerife - Spain
Switchboard Tel.: (+34) 922 31 90 00
Hours: Mon, 8:00 a.m. to 9:00 p.m.
Statistical Analysis with R: Language and Graphics
Statistical Analysis with R: Language and Graphics
Overview
This micro-credential introduces the fundamentals of the R language and its data structures, enabling the student to import, export, debug and transform data, laying the foundation for the analysis and efficient manipulation of information.
- To understand the fundamentals of the R language and its data structures.
- Learn to import and export data, as well as clean and transform it..
- To hold an official Spanish university degree or another degree issued by a higher education institution belonging to another Member State of the European Higher Education Area, which qualifies for access to master's level studies in that State.
- Holding a degree issued by an educational system outside the European Higher Education Area without official recognition or a declaration of equivalence. In these cases, the academic director will submit a report to the Academic Committee, which will authorize or deny admission. Under no circumstances will authorization imply official recognition of the foreign degree, nor its recognition for any purpose other than pursuing postgraduate studies at the ULL.
Academic program
- The R and RStudio console. Environment management. Variables, functions, and basic arithmetic.
- Vector arithmetic. Data structures: vectors, arrays, and lists.
- Data structures: data frames. Importing and exporting data.
- Programming basics: conditionals, control structures, and functions.
- Executing code in the console and in RStudio. Random variables. Sampling and simulation.
- Report writing with R Markdown and Quarto.
- Data preprocessing and manipulation with dplyr.
- Basic graphics in R: graphics. High-level and low-level interactive functions.
- The ggplot2 package and its graphics language: data, aesthetics, and geoms.
- Lectures/expository method: presentation or explanation by the teaching staff.
- Practical classes: activities supervised by the teaching staff in the classroom, laboratories, clinics.
- Assessment: written tests, oral tests, practical tests…
- Tutoring: instruction period in which teachers and students interact with the aim of reviewing and discussing materials and topics presented in class.
- Written works, memoirs, internship reports, and projects: a document prepared on a topic or activity carried out, following the instructions established by the teaching staff.
- Oral presentation and defense of topics, assignments, final projects, etc.: oral presentation on a topic related to the course content or on the results of an assignment, exercise, or project, followed by a discussion with the teaching staff. This can be done individually or in a group.
General information
Credits: 4 ECTS
Duration: 23/02/26-16/03/2026
Teaching modality: In person
Location: Faculty of Sciences, Biology Section
Possibility of receiving a bonus through Fundae
Short courses available in various formats (in-person, online, or hybrid). Ideal for learning without interrupting your professional life.
Content created and delivered by professionals and experts in the field, designed for immediate application.
Endorsed by the University of La Laguna. You will receive an official ECTS certificate, valid in the European Higher Education Area.
Teaching staff
A mathematics professor, he has worked on economic growth models, contributions from dynamic game theory, as well as on applications of modeling to biotechnology and biomedicine.
Professor of Ecology at the University of La Laguna. Interested in analyzing the impact of intrinsic and extrinsic disturbances on the diversity and structure of the ecosystem community.
Postdoctoral researcher in the Ecology Department at the University of La Laguna. Interested in the response of plant communities to climate change and their physiological adaptations to it.
Professor and researcher in the field of Health Sciences, specializing in bioinformatics, genomics, and epidemiology. Her research focuses on the application of computational tools and epidemiological approaches.
