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Course Prefix: EAS   Course #: 345   Keywords:     showing 0 to 1

EAS 345LEC Introduction to Data Science


This course is an introductory level course in data science. Students are introduced to fundamental concepts in data science. The course will focus on three major themes: Data characteristics, data science pipeline, and data-driven applications. Topics include: Data diversity, data products, data collection methods, data cleaning, and formatting, storing and sharing data, privacy, and confidentiality of data, data security, small data analysis, and statistical analysis. All concepts covered will be illustrated using hands-on experiments and problem-based learning activities, analyzing real-world data sets to develop data science skills.

Credits: 3
Grading: Graded (GRD)
Typically Offered: Spring
Requisites: Pre-Requisites: MTH 142 and EAS 230 or EAS 240 or CSE 115
Visit the Office of the Registrar’s Class Schedules page for more detailed and updated information.
Published: Jul 08, 2022 10:27:05