4.00 Credits
This course introduces fundamental programming techniques for data science such as loading, cleaning, transforming, merging, and reshaping data. Data types, building a data pipeline for simple predictions, and the analysis and manipulation of time series data are also discussed. Prerequisites: CIS 130 and DSCI 130. Four credit hours
Prerequisite:
( CIS 130 and( DSCI 130