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 324-DL : Applied Data Science

Description

This course introduces data science concepts, techniques, and tools with an emphasis on building practical business applications. Students will gain the ability to decompose a business problem into actionable data science tasks that include exploratory data analysis, data visualization, data preprocessing and building predictive models using right algorithms. Using Python, students will implement supervised and unsupervised machine learning methods. The students will be exposed to a variety of machine learning algorithms including regression, classification, clustering, dimensionality reduction, and neural networks. This course takes a hands-on approach to prepare students to use data science with the focus on building data products for various industries. This course is conducted completely online. A technology fee will be added to tuition.

Prerequisite: CIS 323 Introduction to Python or equivalent. Enrollment restricted to students who have completed CIS 323. Instructor consent (permission number) is required for all other students.