IS 537

Spring 2023 All Classes

All Classes

Theory & Practice of Data Cleaning

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Credit: 4 hours.

Data cleaning (also: cleansing) is the process of assessing and improving data quality for later analysis and use, and is a crucial part of data curation and analysis. This course identifies data quality issues throughout the data lifecycle, and reviews specific techniques and approaches for checking and improving data quality. Techniques are drawn primarily from the database community, using schema-level and instance-level information, and from different scientific communities, which are developing practical tools for data pre-processing and cleaning.

Same as CS 513. 4 graduate hours. No professional credit.

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

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IS 537 class schedule data for spring 2023
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	72410	Lecture-Discussion	A	9:00AM -11:50AM	W	Grad Sch of Lib & Info Science	Hetrick, A	Part of Term: 1 Date Range: 01/17/23-05/03/23 Degree Notes: ONL Info Science rate course. Section Info: This is a hybrid course that meets with IS 537 OA. Graduate student questions may be sent to ischool-advising@illinois.edu. Restriction(s): Restricted to Graduate - Urbana-Champaign. Restricted to students in the Illinois Informatics Institute or Information Sciences department.
	72411	Online	OA	9:00AM -11:50AM	W	n.a.	Hetrick, A	Part of Term: 1 Date Range: 01/17/23-05/03/23 Degree Notes: ONL Info Science rate course. Section Info: This is a hybrid course that meets with IS 537 A. Graduate student questions may be sent to ischool-advising@illinois.edu Restriction(s): Restricted to Graduate - Urbana-Champaign. Restricted to students in the Illinois Informatics Institute or Information Sciences department.