Python for Data and Analytics II

Undergraduate

Advanced analytical coding in Python; data modeling, machine learning, complex visualization, cloud data, APIs, simulation methods, economic and financial analytics, business applications, dashboarding, deployment, real-world datasets, practical analytical tools. Course Format: Lectures, 3 hours per week. Prerequisite(s): ECON 2P36 Course Notes: This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.