IS 407

Spring 2022 All Classes

All Classes

Introduction to Data Science

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Credit: 4 hours.

This course introduces students to data science approaches that have emerged from recent advances in programming and computing technology. They will learn to collect and use data from a variety of sources, including the web, in a modern statistical inference and visualization paradigm. The course will be based in the programming language R, but will also use HTML, regular expressions, basic unix tools, XML, and SQL. Supervised and unsupervised statistical learning techniques made possible by recent advances in computing power will also be covered.

4 undergraduate hours. 4 graduate hours.

This course satisfies the General Education Criteria in Fall 2022 for:

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IS 407 class schedule data for spring 2022
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	72065	Lecture-Discussion	ACG	9:30AM -10:50AM	TR	126 Grad Sch of Lib & Info Science	Seo, J	Part of Term: 1 Date Range: 01/18/22-05/04/22 Degree Notes: ONL Info Science rate course. Section Info: Graduate student questions may be sent to ischool-advising@illinois.edu Restriction(s): Restricted to Graduate - Urbana-Champaign.
	72134	Lecture-Discussion	ACU	9:30AM -10:50AM	TR	126 Grad Sch of Lib & Info Science	Seo, J	Part of Term: 1 Date Range: 01/18/22-05/04/22 Degree Notes: ONL Info Science rate course. Section Info: Restricted to Information Sciences majors until 1/14/22 by noon. INFO Minors will be able to register starting 1/11/22 by noon. For more information about this major, please visit: http://go.ischool.illinois.edu/BSIS. We will not provide overrides, please wait until the course restrictions are removed. Questions may be sent to bsis-advising@illinois.edu. Restriction(s): Not intended for students with Freshman or Sophomore class standing. Restricted to Undergrad - Urbana-Champaign.