This course serves as an introduction to the programming and data analysis techniques required
for data science. Topics include: basic data science tools and techniques, data acquisition and
analysis, basic predictive modelling, and ethics in data science. Not open to students who have
received credit for COSC 480 – Data Science or COSC 481 – Introduction to Data Science.
Prerequisites: COSC 251 or permission of the instructor.