It is a basic four-lesson, 10-hour total course that covers the basics of data literacy, basics of effective teaching and assessing your unit/organization's data literacy.

This includes basic control structures in Python: conditional branches, for loops and recursion; functions: defining and calling functions, and recursion; in-built data structures: lists and ...

Cross-listed with DTSA 5304 Course Type: Elective Specialization: Fundamentals of Data Visualization Instructor: Dr. Danielle Szafir, Visiting Assistant Professor, ATLAS Institute, University of ...

This course is reserved for students pursuing the M c Cormick Machine Learning and Data Science Minor. We encourage students to take this early in their studies for the minor. It is the first part of ...

A course focused on practical applications of data and machine learning, from one of the world's leading technology schools, would be a great place to start your advanced level education in this ...

Whenever a system can adjust its behavior based on new input data, it can be said to have learned. A supervised machine learning algorithm is one that requires some training in order to build a model.