Data Science for STEM Teachers
These lecture notes are designed as accompanying material for the xAIM master's course on data science. The course provides a gentle introduction to exploratory data analysis, machine learning, and visual data analytics. During the course, students learn how to accomplish various data mining tasks through visual programming, using Orange as our tool of choice for this course.
The notes were prepared by Blaž Zupan and Janez Demšar. We would like to acknowledge all the help from the members of the Bioinformatics Lab at University of Ljubljana, Slovenia.
The material is offered under Create Commons CC BY-NC-ND licence.
