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CSE3007

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Python for Data Science

Course Title

Python for Data Science

Credit Hrs

3

Grade Modes

Audit, Pass/Fail, Standard Letter

Course Description

Types and functions; Mechanisms for parameter passing, optional and keyword-based parameters. Dictionary and list comprehension. Native data structures, e.g. dictionaries, lists, strings, and tuples; arrays using NumPy. File input/output. Techniques for noise removal, cleaning, and transformations on real-world datasets.
Prerequisite
Complete ALL of the following Courses:
  • MATH1520
Complete ANY of the following Courses:
  • CSCI1210
    OR
    CSCI1220

Either programming course must be passed with a C or better, or instructor permission based on previous computer programming experience.

Both the Math and Computer Science Requirement courses must be passed with a C or better before enrolling in CSE 3007.