MTH 315 Introduction to Data Science

Data science is an interdisciplinary field which blends mathematics, computer science, and various domain-specific fields (such as bioinformatics). The goal is to extract usable information from large sets of data. This course will be an introduction to data science using R, Python or a similar language. Emphasis will be on exploratory data analysis, visualization, model fitting, classification, and prediction.

Credits

3

Prerequisite

Prerequisites: class='sc-courselink' href='/en/2022-2023/undergraduate-catalog/courses/mth-mathematics-course-descriptions/200/mth-204'>MTH 204, class='sc-courselink' href='/en/2022-2023/undergraduate-catalog/courses/mth-mathematics-course-descriptions/400/mth-401'>MTH 401, or class='sc-courselink' href='/en/2022-2023/undergraduate-catalog/courses/eco-economic-course-descriptions/200/eco-212'>ECO 212. Pre or Corequisite: at least one other CSC course.