Introduction to Data Analysis and Visualization with Python

The course provides an introduction to data analysis and visualization, including necessary introduction into programming in Python language. 

The key learning goal is that the students can apply basic tools of Python and some of its libraries for analyzing and visualizing quantitative data of their interest.

The course will help you to understand how you can use specific Python tools and libraries like pandas and matplotlib to examine a dataset with summary statistics and graphs, and extract meaningful information. You will learn how to import, clean and prepare data before analysis, and how to visualize this data in an appropriate way to communicate results.  

Vitaly Nikolaev:

Prior to working at SAS, Vitaly had an experience in the position of a researcher at the Kaliningrad branch of the Federal Research Center "Informatics and Control" of the Russian Academy of Sciences, and as an associate professor at the departments of computer science and information technology. In addition to his research and teaching activities, he also has rich experience in administrative and educational work as the dean of the faculty of automation and control of Kaliningrad State Technical University. He participated in the development of educational programs in the fields of computer science and information technology for bachelors, masters and engineers of various higher education programs. Vitaly also has extensive experience as a software engineer. He was the main developer of automation systems for accounting of the university, as well as for control and analysis of the educational workflow of the faculty. He also automated the workflow of some local state organizations. Vitaly received a bachelor's degree in Computer Science and Engineering and an engineer’s degree in Computer Engineering, Systems, Complexes and Networks, and later – a Master of Science in Biomedical Computing at the Department of Computer Aided Medical Procedures and Augmented Reality at Technical University of Munich. He has a PhD degree in engineering sciences («Candidate of engineering sciences» in Russian).