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Viewing: DATS 6401 : Visualization of Complex Data

Last approved: Mon, 16 May 2016 08:47:45 GMT

Last edit: Wed, 06 Apr 2016 17:59:16 GMT

Catalog Pages referencing this course
Programs referencing this course
Columbian College of Arts and Sciences
Data Science (DATS)
DATS
6401
Visualization of Complex Data
Visualization of Complex Data
Fall 2015
3
Course Type
Lecture
Default Grading Method
Letter Grade
candidates for the MS or graduate certificate in data science; permission of the instructor may be substituted
No
No
DATS 6101, DATS 6102, and DATS 6103
Corequisites

15
Dr. Kalvir Dhuga
Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


This course is a practical approach to fundamentals of data visualization specifically for data science professional. It covers all significant topics, including graphics, discrete and continuous variables, clustering and classification.
Students should be able to explain fundamental ideas and concepts of data visualization snf related methods, demonstrate the knowledge of where the methods can be applied to problems in data science, and be able to use tools such as Mondrian, R, and GGobi to solve typical problems addressed in visualization of complex data.
Students will gain practical skills typical of those of data scientists and gain experience applying the skills to real data.
Course Attribute

This is usually to be a second-year course in the Master of Science in Data Science program.
Key: 9858