IS 457

Spring 2019 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.

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IS 457 class schedule data for spring 2019
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
67407	Lecture-Discussion	AG	2:00PM -3:50PM	M	Grad Sch of Lib & Info Science	Stodden, V	Part of Term: 1 Date Range: 01/14/19-05/01/19 Section Info: This is a hybrid course that meets with IS 457 AU, IS 457 AO, CS 398 and STAT 430. Restriction(s): Restricted to Graduate - Urbana-Champaign.
69487	Online	AO	2:00PM -3:50PM	M	n.a.	Stodden, V	Part of Term: 1 Date Range: 01/14/19-05/01/19 Restriction(s): Restricted to Graduate - Urbana-Champaign.
67659	Lecture-Discussion	AU	2:00PM -3:50PM	M	Grad Sch of Lib & Info Science	Stodden, V	Part of Term: 1 Date Range: 01/14/19-05/01/19 Section Info: This is a hybrid course that meets with IS 457 AG, IS 457 AO, CS 398 and STAT 430. Restriction(s): Not intended for students with Freshman or Sophomore class standing. Restricted to Undergrad - Urbana-Champaign.