Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
Online Sync Sessions are an integral part of the online learning experience. Additional information about learning concepts and assignments may be discussed and sync sessions offer valuable opportunities for students to interact with their faculty and peers during the term. We encourage all students to attend live, but if they are unable to, sync sessions will be recorded and posted within Canvas to allow for an asynchronous model of success as well.
MSDS 430-DL : Python for Data Science
Description
This course introduces core features of the Python programming
language, demonstrating fundamental concepts in computer science.
It provides an in-depth discussion of data representation
strategies, showing how data structures are implemented in Python
and demonstrating tools for data science and software engineering.
Working on data analysis problems, students employ various
programming paradigms, including functional programming, object-
oriented programming, and data stream processing. Special attention
is paid to the standard Python library and packages for analytics
and modeling.
