| Title: | Intro to Data Science |
|---|---|
| Course Section Number: | CSC-271-01 |
| Department: | Computer Science |
| Description: | This course examines key elements of the data-to-knowledge pipeline: gathering data from reliable sources; cleaning, processing and visualizing data; analyzing data with appropriate statistical tools; and making informed decisions. Using a variety of computational and statistical tools, students will develop practical data science skills in a collaborative, project-based environment. We will use the programming languages Python and R, though only proficiency in Python is a prerequisite. There is no mathematics prerequisite for this course. Students who have completed MAT 223 should consider CSC/MAT 338. |
| Credits: | 1.00 |
| Start Date: | August 25, 2021 |
| End Date: | December 18, 2021 |
| Meeting Information: |
08/26/2021-12/16/2021 Lecture Tuesday, Thursday 09:45AM - 11:00AM, Goodrich Hall, Room 101
|
| Faculty: | Westphal, Chad |
| Requisite Courses: | PreReq CSC-111 or permission of the instructor. |
Course Status
| Section Name/Title | Status | Dept. | Capacity |
Enrolled/ Available/ Waitlist |
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