Data Science II - Intermediate Data Science

Catalog description

This course focuses on developing competency with advanced data analysis and visualization techniques. The first third of the course focuses on exploratory data analysis (EDA) applications using databases, advanced treatments of data cleaning, wrangling, and collection. The second third of the course focuses on statistical and inference skills. The third part of the course focuses on data visualization, including creation of dashboards and web-ready methods. While this course will use R, it will also focus on continuing to develop Python skills, including introducing the more important Python packages used in data science. Components: Laboratory, Class Prereqs/Coreqs: P: DATASCI 2010 with a 'C-' or higher Typically Offered: Fall