Statistical analysis of data. Spreadsheets. Advanced level.

Understand the fundamentals of good design and apply them to data visualizations. Understand how visual representations can help in the analysis and understanding of data. Use existing visualization tools and techniques to analyze data sets. Acquire best practices for telling stories and communicating through data visualizations.

K1: Know the principles and values of democracy and sustainable development, in particular, respect for human rights and fundamental rights, gender equality and non-discrimination, the principles of universal accessibility and climate change. K2: Know basic humanistic contents, oral and written expression, following ethical principles and completing a multidisciplinary training profile. K3: Identify and analyze research methodologies and sources to develop academic work in the field of digital information management K4: Understand and apply the fundamental theories, instruments and techniques to manage information in digital media, covering its organization, control, communication and preservation K5: Know the fundamental theories, instruments and techniques for managing information in digital media, covering its organization, control, communication and preservation K6: Know models of information retrieval and visualization using database systems and visual representation methods. K9: Know the principles of user-centered design for digital products, including the use of usability techniques and planning of interactive publications, ensuring an accessible and effective experience for users. S1: Plan and organize teamwork by making correct decisions based on available information and gathering data in digital environments. S2: Use the information by interpreting relevant data, avoiding plagiarism, and in accordance with the academic and professional conventions of the area of study, being able to evaluate the reliability and quality of said information. S3: Apply digital information management principles in different organizational environments, ensuring effective communication of processes and results to stakeholders. S5: Be able to design, manage, and operate with information through database systems, demonstrating skill in information retrieval and the use of query languages to meet complex information needs. S6: Be able to collect, process, cleanse and aggregate data by understanding the needs of users and organizations and how they need them. S7: Experiment with data visualization tools to represent information intuitively, properly presenting the results to different types of audiences. S8: Develop skills in the creation of digital content and multimedia editing by applying usability principles. S10: Apply statistical analysis techniques and metric studies to evaluate and measure the impact of data in digital environments. S12: Be able to advise on the definition of strategy and project management regarding tracking, indexing, content structuring, link building, etc C1: Know and be able to manage interpersonal skills on initiative, responsibility, conflict resolution, negotiation, among others, which are required in the professional field. C2: Be able to apply knowledge in a professional way in solving specific digital information management problems using the tools and techniques learned in the academic field C3: Demonstrate ability in the development and execution of digital content projects autonomously working in multidisciplinary teams. C4: Capacity for continuous autonomous learning that facilitates adaptation to new situations and the updating of knowledge in the field of digital information.

1.Fundamentals and basic considerations 1.1 Overview. 1.2 Interactive data analysis. 1.3 Design theory in data visualization. 1.4 Ethics and objectivity in data visualisation. 2. Data visualization methods and techniques 2.1 Axes, coordinates systems, colors. 2.2 Tabular data visualisations. 2.3 Spatial visualizations. 2.4 Relational structures: trees and networks. 2.5 Visual analytic studies of science. 3. Communication with data 3.1 Narratives.

TRAINING ACTIVITIES OF CURRICULUM CONCERNING STUDIES THEORETICAL-PRACTICAL CLASSES. It will present the knowledge that students must acquire. They will receive the class notes and will have basic reference texts to facilitate the monitoring of classes and the development of subsequent work. Exercises and practical problems will be solved by the student and workshops will be held to acquire the necessary skills. TUTORIES. Individualized assistance (individual tutorials) or in groups (collective tutorials) to the students by the professor. INDIVIDUAL OR GROUP WORK OF THE STUDENT. TEACHING METHODOLOGIES THEORY CLASS (3 ECTS). Exhibitions in the teacher's class with computer and audiovisual media support, in which the main concepts of the subject and the materials and bibliography are provided to complement the learning of the students. PRACTICES (3 ECTS). Use of interactive systems for the creation of graphics; use of visual analytics tools and declarative languages.. TUTORIES. Individualized assistance (individual tutorials) or in groups (collective tutorials) to the students by the professor. Face-to-face or virtual mode (Google meet).