STAT 480

Spring 2017 All Classes

All Classes

Data Science Foundations

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Credit: 3 OR 4 hours.

Examines the methods of data management and analysis for "big data", characterized by high volume, variety, velocity, and veracity. Attention will be focused on advanced statistical analysis and visualization in data science applications employing parallel processing, storage and distribution techniques necessary for analysis of massive data sets. Data mining techniques, machine learning methods, and streaming technologies will be utilized for real-time analysis. Students must have access to a computer on which they can install software.

3 undergraduate hours. 4 graduate hours. Prerequisite: STAT 425 and familiarity with high-level language (e.g. Python, Java, C, F#), and command line programming.

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STAT 480 class schedule data for spring 2017
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	63551	Lecture-Discussion	1GR	2:00PM -3:20PM	TR	G27 Foreign Languages Building	Glosemeyer, D	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Info: For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration Restriction(s): Restricted to Graduate - Urbana-Champaign.
	63552	Lecture-Discussion	1UG	2:00PM -3:20PM	TR	G27 Foreign Languages Building	Glosemeyer, D	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 3 hours Section Info: For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration Restriction(s): Restricted to Undergrad - Urbana-Champaign.