IS 597

Summer 2024 All Classes

All Classes

Advanced Topics in Data Analytics & Data Science

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Credit: 2 OR 4 hours.

Variety of newly developed and advanced topics courses within the fields of Data Analytics & Data Science, intended to augment the existing Information Sciences curricula.

2 or 4 graduate hours. No professional credit. Approved for Letter and S/U grading. May be repeated in the same or separate semesters to a maximum of 16 hours, if topics vary.

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

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IS 597 class schedule data for summer 2024
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	42151	Online	MLC	6:00PM -7:55PM	W	n.a.	Kim, J Trainor, K	Part of Term: SF Date Range: 05/13/24-08/01/24 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Machine Learning Cloud Section Info: Developing Machine Learning Pipelines Using Cloud-Based Platforms: This is a graduate-level data science course for students who need practical experience in using machine learning approaches to address real world problems. This course provides hands-on experience in identifying problems suitable for applying machine learning techniques, designing pipeline-based solutions using Python programming, and implementing these solutions on cloud-based platforms. PREREQUISITES: IS430 or equivalent course in Python programming. Restriction(s): Restricted to Graduate - Urbana-Champaign.