IS 597

Summer 2022 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 2022
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	41261	Online	PYO	ARRANGED	n.a.	n.a.	Wickes, E	Part of Term: S2B Date Range: 07/11/22-08/04/22 Degree Notes: ONL Info Science rate course. Credit: 2 hours Section Title: Python Standard Library Section Info: Course is asynchronous, more information will be provided by the instructor, Elizabeth Wickes prior to the start of class. Pre- and Co-requisites: This class is designed for students who have previous computer science/engineering degrees or related coursework, and have never worked within Python. Students are not allowed to enroll in IS 452 before, during, or after completing this section. Students are not allowed to have taken IS 597 PR - Progr Analytics & Data Process (formerly IS 590 PR) before this class, but may be co-enrolled or take that course later. This is a short course introduction to the Python programming language for students with prior intensive programming experience and/or prior coursework on a programming language. This class will introduce students to the fundamental patterns within data-oriented Python programs, core differences between Python and other general purpose programming languages. This is an intensive course that presumes students are comfortable with loops, logic structures, accumulators, and working within programming environments. This course focuses on the Python standard library, and will not cover external tools like Pandas, numpy, sklearn, matplotlib, etc. Graduate student questions may be sent to ischool-advising@illinois.edu Restriction(s): Restricted to Graduate - Urbana-Champaign. Restricted to students in the Information Sciences department.