Programming for Data Science
Manchester
Coll of Professional Studies::Analytics
Online Course Delivery Method:
Online Asynchronous
Credits: 3.0
Class Size: 20
Term:
Spring 2024
-
Term 3 (01/23/2024
-
03/15/2024)
CRN:
54090
Grade Mode:
Letter Grading
In this class, students will build their foundational toolbox in data science: upon completion, students will be able to use the computer from the command line; practice version control with GIT & GitHub; gain a mastery of programming in Python; data wrangling with Python and perform an exploratory data analysis (EDA) in Python. All learning objectives are achieved through active application of these techniques to real world datasets.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DATA 800 May be taken concurrently
Instructors:
Phani Kidambi
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 1/23/2024 | 3/15/2024 | Hours Arranged | ONLINE |
