Data Science Fundamentals

Catalog description

Prerequisite: CMSC 341 and one of MATH 114 or MATH 117 or MATH 117A or MATH 216 Corequisite: None Restriction: None Dual Listed: MATH 516 Description: Introduces the field of data science by covering the methodology in which data-intensive problems are identified, defined, and solved. Investigates data analysis and data mining techniques for finding patterns in data that emphasize using data models, data gathering and storage, selection and preparing of data, model building and testing, and interpreting and validating results. Utilizes hands-on experiences with data science tools and techniques, specific topics include map-reduce and mining data streams. Includes techniques for visualizing patterns in data, including interactive visualization.