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Bearcat Web - Lander University

 

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Detailed Course Information

 

Fall 2021
Apr 24, 2024
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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)

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Release: 8.7.2.4