Information Systems Courses, Undergraduate Programs at Northwestern University School of Professional Studies - Northwestern School of Professional Studies

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Information Systems courses carry science credit.

CIS 323-DL : Python for Data Science

Description

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: CIS 110-CN or CIS 110-DL or equivalent. Enrollment restricted to students who have completed CIS 110. Instructor consent (permission number) is required for all other students. . May not be audited or taken P/N.

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