Data science is the study of extracting value from data. It combines insights, techniques, and tools from several disciplines including, among others, computer science, statistics and applied mathematics. The course is intended to provide students with advanced knowledge and practical skills on Data Science; it provides an in-depth view of Data Science tools applied to a set of real-world case studies. The course targets students from all disciplines and consists of 12 hours. At the end of the course students will be equipped with a comprehensive knowledge of Data Science tools that will allow them to work on a variety of data-driven problems in any discipline.
This subject is aimed at students with (at least a basic) programming experience. The course includes theoretical parts jointly with more extensive practical ones developed through a set of hands-on/exercises based on Jupyter Notebooks.
(i) Data Science I (highly recommended)
(ii) basic knowledge of the Python programming language.