In this course students will learn how Python, perhaps the most popular programming language today, is used in databases, image processing, machine learning and parallelism. This course is a lab-based course that requires considerable time programming. Students will learn how to handle various data structures, e.g. Python lists, NumPy arrays and Pandas DataFrames. Functions and flow control will be emphasized. This course also uses Python to build on the data visualization topics started in DATS225 Data Visualization. (Prerequisite: DATS481)

View the course schedule to find out details about each course including prerequisites, course objectives, course materials, a snapshot of the syllabi, and session dates.