Computing Tools for Data Science

Catalog description

Credit Hours: 3 Lecture Hours: 3 Lab Hours: 0 This course is an introduction to computing tools needed to do data science. This course assumes no prior knowledge of such tools. Using tabular datasets, topics will cover, information about the tools, their interfaces, and using the tools for data pre-processing and cleaning, data wrangling (i.e., transforming to “tidy” data to make it suitable for analysis), data visualization, discovering patterns and anomalies in the data, composing stories told by the data through simple hypothesis testing and simple regression modeling, and writing reproducible reports.