CTP214 — Data Visualization and Data Wrangling
3 credit hours - Two hours of lecture and two hours of laboratory weekly; one term Explore data wrangling from widely used data formats and sources (like web pages, tweets, PDF files) and shape it to enable data-driven decisions. Learn to assess the quality of data and explore best practices for data cleaning. Prerequisite(s): A grade of C or better in both CTP 115 and MAT 135 Location(s) Typically Arnold Main Campus (MC) and Online (OL) Term(s) Typically all and spring Course
Prerequisites: CTP115, MAT135