Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 4 Lecture/Recitation/Discussion Hours: 4
Prerequisite:
(MTH 124 or concurrently) or (MTH 132 or concurrently) or (MTH 152H or concurrently) or (LB 118 or concurrently)
Not open to students with credit in:
STT 301
Description:
Pervasiveness and utility of data in modern society. Obtaining and managing data. Summarizing and visualizing data. Ethical issues in data science. Communication with data. Fundamentals of probability and statistics.
Interdepartmental With:
Computational Mathematics, Science, & Engineering
Administered By:
Statistics and Probability