DS 01101 - In-Depth Introduction to Data Science

Credits: 4

This course is a more in-depth version of DS 01.100 Introduction to Data Science. This course provides an introduction to the foundational topics in data science including data manipulation, data analysis with statistics, machine learning, data communication and information visualization. It is intended to introduce the tools and techniques necessary to solve problems involving data. As an introductory course, it will utilize and explain programming and statistical data analyses without requiring prerequisite coursework in these areas. It is designed for the student interested in exploring the data science field, or as a first course in a degree program in data analytics or data science. The course will include additional modules such as ethics of data acquisition, data analysis and storage mechanisms, and advanced programming functions in command-based languages such as Python and R, as well as more advanced statistical analysis tools.

Course Attributes: CAT, UGRD