On successful completion of the course, students should be able to:
LG1. Explain what are the aplication domains and what skills are necessary to analyse various data.
LG2. Define concepts such as exploratory data analysis, statistical inference and modelling, machine learning and high-dimensional data analysis.
LG3. Justify the need for reproducible research, the ethical and normative issues behind data-driven decision-making, and its potential bias.
LG4. Explain the underlying techniques of visualization and communication of results.