This workshop will introduce students to data exploration and machine learning techniques. Students will learn about the data science workflow and will practice exploring and visualizing data using R and built in libraries. Students will also explore the differences between supervised and unsupervised learning techniques and practice creating predictive regression models.
A background in computer science, programming, and/or statistics is preferred for this workshop. It is not required but you are expected to be somewhat familiar with the command line tools and how to write simple programs.
All students should complete the assigned pre-work before class and be ready to begin right away. https://www.dropbox.com/s/2t2gex4e0wxsft3/DAT%20PreWork.pdf