Select the “Schedule Type” to find sections for the course. |
DSCI 230 - Intro Data Science Programming |
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
4.000 Credit hours 4.000 Lecture hours Levels: Second Degree, Undergraduate Schedule Types: Lecture Math & Computing Department Prerequisites: (Undergraduate level CIS 130 Minimum Grade of D or Second Degree level CIS 130 Minimum Grade of D) and (Undergraduate level DSCI 130 Minimum Grade of D or Second Degree level DSCI 130 Minimum Grade of D) |
Return to Previous | New Search |