-
Institution:
-
Clemson University
-
Subject:
-
Computer Science
-
Description:
-
Course covers applied methods and techniques in Data Science, including data scraping, cleaning, and storage; technical issues when working with different types of data; basic topics in machine learning; parallel and distributed computing; cloud computing; data visualization; and ethical issues in Data Science. Students are expected to have completed at least one college-level introductory class in statistics before enrolling in this course.
-
Credits:
-
3.00
-
Credit Hours:
-
-
Prerequisites:
-
-
Corequisites:
-
-
Exclusions:
-
-
Level:
-
-
Instructional Type:
-
Lecture
-
Notes:
-
-
Additional Information:
-
-
Historical Version(s):
-
-
Institution Website:
-
-
Phone Number:
-
(864) 656-4636
-
Regional Accreditation:
-
Southern Association of Colleges and Schools
-
Calendar System:
-
Semester
Detail Course Description Information on CollegeTransfer.Net
Copyright 2006 - 2025 AcademyOne, Inc.