Last weekend we finished the first edition of our Summer School of Data Analysis. The 5-day workshop was attended by 20 people, mostly students and fresh graduates of mainly social sciences – psychology, sociology and economics. The aim of the School was to introduce participants to programming techniques for data mining using analytical tools based on the Python programming language. On the last day, the participants, most of whom came to us with zero programming experience, were already presenting the results of group analytical projects they had been working on for the previous few hours.
The main skills that our instructors – Piotr Migdał and Julian Zubek – taught us were the basics of programming in Python, various techniques for processing and exploring data sets, as well as methods for finding relationships between variables and visualizing them. We received information that some of the participants already use Python in their analytical projects.