Aim of the course Probability and statistics have become the basis for data science with its numerous applied techniques. Our aim within this course is to introduce the students to the main concepts and methods of probability and statistics and to help them develop probabilistic and statistical thinking. We will discuss the basic notions of probability (sample space and events, axioms of probability, independence and conditioning; discrete and continuous random variables and their distributions; expectations, variance and other characteristics) and statistics (samples, descriptive statistics, parameter estimation, hypothesis testing and regression) that are necessary for understanding the main techniques of data science.