Data Science I

Catalog description

This course will introduce students to the basics of programming using scripting languages (R and/or Python) in addition to developing competency with handling and analyzing datasets. The first third of the course focuses on learning the basics of coding through scripting languages as applied to exploratory data analysis (EDA). This will be accomplished through wrangling, analyzing, and summarizing/visualizing data. The second third of the course will focus on the continued development of programming and scripting skills through the creation of functions and algorithms in the form of simulation models. Stochastic and probabilistic methods will be incorporated to illustrate the use of uncertainty in decision making and data visualization. The third part of the course will focus on team project work and also examine different data types, data storage methods, and the use of documentation and organization of code, including version control, reproducibility, and peer review. Components: Laboratory, Class Prereqs/Coreqs: P: STAT 2030 with a grade of 'C-' or higher and COMPUTER 1430 with a grade of 'C-' or higher or consent of instructor Typically Offered: Spring