DAT 3380: Introduction to Data Science (5)
Offerings
An introduction to data science using R. This course provides an overview of concepts, skills, and technologies used for working with large, complex, and messy datasets. Provides an introduction to the full data workflow, from data acquisition and cleaning to exploration, analysis, visualization, and communication of final results. Explores ethical and social considerations inherent in working with "big data," including privacy, design, reproducibility, and bias. Using real-world datasets, students will explore, visualize, and pose questions about data.
Equivalents: MAT 3380
Attributes: Upper-Division
Prerequisites: MAT 2360: C- or better
OR PSY 2360: C- or better
OR SOC 2360: C- or better
OR CRIM 2360: C- or better
OR BUS 2700: C- or better
OR MAT 2200: C- or better
OR EGR 2200: C- or better
DAT 4500: Data and Society (5)
Offerings
In this course students will analyze, writeup, and publish insights on real-world data. In addition, students will explore and reflect on social, ethical, and theological implications of data and the practice of data analytics. Typically offered: Spring. May be repeated for credit 2 times.
Attributes: Honors Course, Upper-Division
Prerequisites: MAT 3380: D or better