This course aims at introducing classical problems in systems-and-control theory, such as the analysis of dynamical systems and the associated controller synthesis, estimation and state reconstruction problems. Once discussed how to tackle the underlying problems with standard mathematical tools, they will hence be addressed and solved using data-driven and machine learning techniques, emphasizing their pros and cons. Frontal lectures will be alternated with hands-on sessions involving programming in MATLAB, Python, or Julia.