Data Analytics Programming

Course description

Understanding the data-driven programming methodology and having a sound programming background are foundational skills for anyone interested in working with data. In this course, students explore the principles of programming. In addition, students discuss the concepts of data structures and algorithms. Using a hands-on approach, students gain experience developing data-driven software applications. Students learn Python and how to use popular Python libraries for data analysis, manipulation, and visualization.

Students registering for credit courses for the first time must declare a program at the point of registration. Declaring a program does not necessarily mean students must complete a program, individual courses may be taken for skill improvement and upgrading.

For more information, please contact Continuing Education