Intended learning outcomes (knowledge, skills and competences to be developed by the students):

Development of autonomous capacity to select and apply different methods of data collection, data organization, visualization and
exploratory analysis. It is intended, with this Curricular Unit (CU), and together with other mandatory CUs, to ensure the independence of
students in areas of scientific research. Specifically with this CU, students should be able to: i) understand the importance of correct data
management in scientific research, ii) select the appropriate data collection methods, designing and implementing these methods in order to
obtain complete and high quality data, iii) classify, transform and clean data in order to promote exploratory analysis and reproducibility, iv)
manage data files in a professional and secure manner, and v) conduct exploratory data analysis using multivariate analysis and
visualization techniques, to promote the formulation of hypotheses.

Syllabus:

• Module 1: Foundations of Data
• Module 2: Techniques and Methods for Data Collection
• Module 3: The Art of Data Organization and Management
• Module 4: Data Exploration, Analysis, and Visualization
• Module 5: Emerging Trends in Data Collection and Organization