Python for Data Science

Course description

Data‑driven decision‑making has become essential across nearly every industry, making the ability to work with data and understand machine learning workflows a foundational skill. In this course, students are introduced to Python as a core tool for data science, and they explore the concepts behind machine learning, practice data exploration and preparation, and construct machine‑learning‑ready data structures using real datasets. Students learn how to apply the Python programming language to represent features and labels, separate training and testing data, and improve data quality to enhance model performance. By the end of the course, students are able to implement effective data preparation techniques that support accurate and reliable AI systems

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