Online Information Systems Course Schedule
View Online Information Systems core, concentration, and distribution course schedules and descriptions.
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.
Winter 2025 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
01/06/25 - 03/22/25 | Asynch | Asynch | 20 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Chapla, Amul | Online | Open |