Summer 2025 courses to learn data science and artificial intelligences

Data science is all the rage. Professions related to this field are among the most in-demand, according to the latest study ‘Posiciones y competencias más Demandadas 2024’, carried out by the Spanish Association of Human Resources Managers. In particular, there is a significant demand for roles related to data management and analysis, such as Data Analyst, Data Engineer and Data Scientist. The rise of artificial intelligence (AI) and the need to make data-driven decisions are driving the integration of this type of professionals in all sectors.

Universities are aware of this situation and therefore offer a large number of degrees, postgraduate courses and also summer courses, both for beginners and for those who want to broaden their knowledge and explore new technological trends. Here are just a few examples of some of them. These courses combine theory and practice, allowing you to discover the potential of data.

1. Data Analysis and Visualisation: Practical Statistics with R and Artificial Intelligence. National University of Distance Education (UNED).

This seminar offers comprehensive training in data analysis with a practical approach. Students will learn to use the R language and the RStudio environment, with a focus on visualisation, statistical inference and its use in artificial intelligence systems. It is aimed at students from related fields and professionals from various sectors (such as education, business, health, engineering or social sciences) who need to apply statistical and AI techniques, as well as researchers and academics who need to process and visualise data.

• Date and place: from 25 to 27 June 2025 in online and face-to-face mode (in Plasencia).

2. Big Data. Data analysis and automatic learning with Python. Complutense University.

Thanks to this training, students will be able to acquire a deep understanding of how data is obtained, managed and analysed to generate valuable knowledge for decision making. Among other issues, the life cycle of a Big Data project will be shown, including a specific module on open data. In this case, the language chosen for the training will be Python. No previous knowledge is required to attend: it is open to university students, teachers, researchers and professionals from any sector with an interest in the subject.

• Date and place: 30 June to 18 July 2025 in Madrid.

3. Challenges in Data Science: Big Data, Biostatistics, Artificial Intelligence and Communications. University of Valencia.

This programme is designed to help participants understand the scope of the data-driven revolution. Integrated within the Erasmus mobility programmes, it combines lectures, group work and an experimental lab session, all in English. Among other topics, open data, open source tools, Big Data databases, cloud computing, privacy and security of institutional data, text mining and visualisation will be discussed.

• Date and place: From 30 June to 4 July at two venues in Valencia. Note: Places are currently full, but the waiting list is open.

4. Digital twins: from simulation to intelligent reality. University of Castilla-La Mancha.

Digital twins are a fundamental tool for driving data-driven decision-making. With this course, students will be able to understand the applications and challenges of this technology in various industrial and technological sectors. Artificial intelligence applied to digital twins, high performance computing (HPC) and digital model validation and verification, among others, will be discussed. It is aimed at professionals, researchers, academics and students interested in the subject.

• Date and place: 3 and 4 July in Albacete.

5. Health Geography and Geographic Information Systems: practical applications. University of Zaragoza.

The differential aspect of this course is that it is designed for those students who are looking for a practical approach to data science in a specific sector such as health. It aims to provide theoretical and practical knowledge about the relationship between geography and health. Students will learn how to use Geographic Information Systems (GIS) to analyse and represent disease prevalence data. It is open to different audiences (from students or people working in public institutions and health centres, to neighbourhood associations or non-profit organisations linked to health issues) and does not require a university degree.

• Date and place: 7-9 July 2025 in Zaragoza.

6. Deep into data science. University of Cantabria.

Aimed at scientists, university students (from second year onwards) in engineering, mathematics, physics and computer science, this intensive course aims to provide a complete and practical vision of the current digital revolution. Students will learn about Python programming tools, machine learning, artificial intelligence, neural networks or cloud computing, among other topics. All topics are introduced theoretically and then experimented with in laboratory practice.

• Date and place: from 7 to 11 July 2025 in Camargo.

7. Advanced Programming. Autonomous University of Barcelona.

Taught entirely in English, the aim of this course is to improve students' programming skills and knowledge through practice. To do so, two games will be developed in two different languages, Java and Python. Students will be able to structure an application and program complex algorithms. It is aimed at students of any degree (mathematics, physics, engineering, chemistry, etc.) who have already started programming and want to improve their knowledge and skills.

• Date and place: 14 July to 1 August 2025, at a location to be defined.

8. Data visualisation and analysis with R. Universidade de Santiago de Compostela.

This course is aimed at beginners in the subject. It will cover the basic functionalities of R with the aim that students acquire the necessary skills to develop descriptive and inferential statistical analysis (estimation, contrasts and predictions). Search and help tools will also be introduced so that students can learn how to use them independently.

• Date and place: from 14 to 24 July 2025 in Santiago de Compostela.

9. Fundamentals of artificial intelligence: generative models and advanced applications. International University of Andalusia.

This course offers a practical introduction to artificial intelligence and its main applications. It covers concepts related to machine learning, neural networks, natural language processing, generative AI and intelligent agents.  The language used will be Python, and although the course is introductory, it will be best used if the student has a basic knowledge of programming. It is therefore aimed primarily at undergraduate and postgraduate students in technical areas such as engineering, computer science or mathematics, professionals seeking to acquire AI skills to apply in their industries, and teachers and researchers interested in updating their knowledge of the state of the art in AI.

• Date and place: 19-22 August 2025, in Baeza.

10. IA Generative AI to innovate in the company: real cases and tools for its implementation. University of the Basque Country.

This course, open to the general public, aims to help understand the impact of generative AI in different sectors and its role in digital transformation through the exploration of real cases of application in companies and technology centres in the Basque Country.  This will combine talks, panel discussions and a practical session focused on the use of generative models and techniques such as Retrieval-Augmented Generation (RAG) and Fine-Tuning.

• Date and place: 10 September in San Sebastian.

Investing in technology training during the summer is not only an excellent way to strengthen skills, but also to connect with experts, share ideas and discover opportunities for innovation. This selection is just a small sample of what's on offer. If you know of any other courses you would like to share with us, please leave a comment or write to dinamizacion@datos.gob.es