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Viewing: DATS 6101 : Introduction to Data Science

Last approved: Tue, 24 May 2016 08:18:39 GMT

Last edit: Mon, 23 May 2016 19:41:41 GMT

Catalog Pages referencing this course
Columbian College of Arts and Sciences
Data Science (DATS)
DATS
6101
Introduction to Data Science
Introduction to Data Science
Fall 2016
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
Yes
STAT 6289 - Topics in Statistics
STAT 2118 or permission of the instructor
Corequisites
An undergraduate degree with a strong background in science, mathematics, or statistics
15
Dr. Tatiyana (Tanya) V Apanasovich
Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
Yes
 
STAT 6289 - Topics in Statistics
No
Fee Type


No


Basic techniques of data science; algorithms for data mining; and basics of statistical modeling. Concepts, abstractions, and practical techniques.
After completing this class, you can expect to be prepared to dive in to deeper data science concepts and to apply the basic techniques in practice.
Uploaded a Course Syllabus
Focus on the field of data science and associated professions.
Course Attribute

This is to be the first course in the Master of Science in Data Science program.
twilson (Mon, 19 Oct 2015 18:33:38 GMT): Rollback: invalid prerequisites and course restrictions
twilson (Thu, 10 Dec 2015 15:44:38 GMT): Rollback: rolled back per your request. Please update prerequisites and resubmit
gharris (Tue, 23 Feb 2016 17:16:34 GMT): Rollback: (1) Please provide 4-5 learning outcomes written in the following context: "At the end of the course students should be able to ..." Avoid verbs such as “understand” or “know;” instead, use verbs such as analyze, synthesize, apply, and evaluate. (2)The syllabus needs (a) a week-by-week class schedule and (b) the university statement on religious holidays.
Key: 9843