| |
Apr 23, 2024
|
|
|
|
|
DATA 302 Field Learning in Data Science
This is a project-based course pairing students with industry partners to provide students the opportunity to contextualize what they have learned in preceding data analysis coursework. Topics will include the application of advanced data mining, data ethics and reproducible research. Students will utilize skills from previous courses to map a general question to a statistical framework, access and manipulate raw data, discover patterns, analyze, model and summarize findings. Credit(s): 3
Prerequisite(s): CSC 122 and DATA 301
Add to Portfolio (opens a new window)
|
|