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 practical skills on Data Science to address real-world case studies. The course targets students from all disciplines and consists of 12 hours; it includes short theoretical parts jointly with more extensive practical ones developed through a set of hands-on/exercises based on Jupyter Notebooks. A step-by-step approach from basics of Python programming language to more advanced Python libraries for data science will be followed throughout the course. 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.
- The course on Basics of Data Science would help in terms of data science theoretical foundations, but it is not strictly required.
- Basic knowledge of Python programming language would help, but it is not mandatory