IS 597 PYO - Adv Topics Data An & Data Sci - Python Standard Library
Variety of newly developed and advanced topics courses within the fields of Data Analytics & Data Science, intended to augment the existing Information Sciences curricula. Course Information: 2 to 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.
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 l
Option 1Number of Required Visit(s): 0
Course Level: Graduate
Term(s): Fall , Summer