IS 457

Spring 2018 All Classes

All Classes

Introduction to Data Science

SHOW FINAL EXAM SCHEDULE

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.

My Favorites

My Schedule

Section Status updates every 10 minutes.

IS 457 class schedule data for spring 2018
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	67407	Lecture-Discussion	IDG	9:30AM -12:20PM	M	126 Grad Sch of Lib & Info Science	Stodden, V	Part of Term: 1 Date Range: 01/16/18-05/02/18 Section Info: 4 Credit Hours. Meets with IS 457 IDU Restriction(s): Restricted to Graduate - Urbana-Champaign.
	67659	Lecture-Discussion	IDU	9:30AM -12:20PM	M	126 Grad Sch of Lib & Info Science	Stodden, V	Part of Term: 1 Date Range: 01/16/18-05/02/18 Section Info: 4 Credit Hours. Meets with IS 457 IDG Restriction(s): Not intended for students with Freshman or Sophomore class standing. Restricted to Undergrad - Urbana-Champaign.