CS 105: Data Analysis Methods

← 2021-22 2022-23 2023-24 →
← 2021-22 ← 2021-22 changes (lax) changes (strict) ▾

Units: 4

Hours: Lecture, 3 hours; laboratory, 2 hours; individual study, 1 hour

Catalog page 258

Prerequisites: CS 009B with a grade of C- or better or CS 010B with a grade of C- or better; restricted to class level standing of sophomore, junior, senior, or masters

Description: An introduction to fundamental concepts and methods in data analysis and visualization essential to a variety of data science tasks. Designed to provide preparation for the data science major and for advanced courses in data analysis and applications of data science.

Derived Information — The following is not part of the official catalog but is computed from catalog data.

Serves as a prerequisite for

CS 108 STAT 108
Prerequisite graph not available.
Enrollment History (from UCR Banner, not catalog)
Year F W S Su Total
2025-26  61/110  96/103 65/ 80 23/40 245/333
2024-25  98/112 100/103 90/100 19/40 307/355
2023-24 102/105 102/103 79/ 79 283/287
2022-23 107/115 104/105 80/ 80 291/300
2021-22  60/ 70  62/ 63 77/ 80 199/213
2020-21  59/ 66  43/ 60 34/38 136/164
2019-20  59/ 60 27/30  86/ 90