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Spring 2018 Statistics GR5702 section 001
EXPLORATORY DATA ANALYSIS/VISUAL
EXPLORATORY DATA ANALYSIS/VISU

Call Number 27724
Day & Time
Location
TR 5:40pm-6:55pm
501 Northwest Corner Building
Points 3
Approvals Required None
Instructor Joyce T Robbins
Type LECTURE
Course Description Prerequisites: A course in computer programming. This course covers visual approaches to exploratory data analysis, with a focus on graphical techniques for finding patterns in high dimensional datasets. We consider data from a variety of fields, which may be continuous, categorical, hierarchical, temporal, and/or spatial in nature. We cover visual approaches to selecting, interpreting, and evaluating models/algorithms such as linear regression, time series analysis, clustering, and classification.
Web Site CourseWorks
Department Statistics
Enrollment 111 students (155 max) as of 11:55PM Wednesday, December 13, 2017
Subject Statistics
Number GR5702
Section 001
Division Interfaculty
Open To Engineering and Applied Science: Graduate
Campus Morningside
Note DSI MA only; others Dept. approval
Section key 20181STAT5702W001

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SIS update 12/13/17 23:55    web update 12/14/17 07:34