Working with Data and Visualization

3 credits · Graduate Programs

An introduction to fundamental data science concepts including basic data organization, data collection, and data cleaning. Provides a review of basic programming concepts in Python, as well as an introduction to problem-solving concepts including algorithmic complexity, recursion, vectorization, and regular expressions. Covers the fundamentals of data visualization and critical thinking. Prerequisite(s): Admission to the Graduate Certificate in Fundamental Data Science and Analytics or the Master of Data Science and Analytics.