Data Science for Transdisciplinary Research (I) (TSE.A325)

Course description and aims

There is a growing need for data science to extract and utilize the necessary information from a huge amount of data. In this lecture, we will learn theories and methods of exploratory data visualization for discovering valuable information from data and explanatory data visualization for effectively communicating the obtained knowledge to various recipients. Python is mainly used in the lectures, but the goal is to gain knowledge and skills that are not limited to specific tools.