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Information Systems

Information Systems courses carry science credit. Programming courses may not be audited.

CIS 323-DL : Python for Data Science


This course provides an extensive overview of Python programming language with emphasis on capabilities to analyze data. Students will develop skills to use Python language to perform data science tasks including importing data from various sources, exploratory data analysis, visualization, data preprocessing, descriptive analytics and predictive modeling. Python-based, open source development frameworks, including the Scikit-Learn, pandas, numpy and Matplotlib libraries, are exposed to students. This course takes a hands-on approach to prepare students for applying appropriate python functions to analyze structured and unstructured data. The course will conclude with student completing data science project on real-world dataset. This course is conducted completely online. A technology fee will be added to tuition.

Prerequisites: STAT 202 Introduction to Statistics and CIS 212 Introduction to Object-Oriented Programming, or equivalents. May not be audited or taken P/N.

This course was formerly CIS 395-CN Topics: Python for Data Science.

Fall 2021
Start/End DatesDay(s)TimeBuildingSection
09/21/21 - 12/11/21Asynch
Asynch 20
InstructorCourse LocationStatusCAESAR Course ID
Chapla, Amul
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