Introduction to Data Science

Catalog description

An introductory course in data science with an application in statistical software R. Students will learn about the fundamental concepts, tools and techniques to solve data driven problems. Students will also develop skills in data analysis such as preparing, cleaning, manipulating, visualization and reporting techniques along with basic statistical methods. Emphasis will be given on hands-on experience with real-world datasets and practical applications. Prerequisites: MATH 1342 - Elementary Statistical Methods or MATH 1314 - College Algebra or similar courses with grade of “C” or better.