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DSCI 311. Principles and Techniques of Data Science. 4 Credits.

Intermediate and advanced techniques in data science. Topics include managing data using software programs, data cleaning, handling text, dimensionality, principle component analysis, regression, classification and inference.
Requisites: Prereq: DSCI 102, CS 211, MATH 342.

Data Science (BA/BS)

https://catalog.uoregon.edu/arts-sciences/school-computer-data-sciences/data-science/ug-data-science/

The volume, rate, and importance of data is growing exponentially, with more data being created in the past two years than in all history combined. At the University of Oregon we’re bringing our strengths as a liberal arts university to the field – to not only ask what can we do with data – but what should we do.

Computer Science (BA/BS)

https://catalog.uoregon.edu/arts-sciences/school-computer-data-sciences/computer-science/ug-computer-science/

...multi-listed with CS course (DSCI 372M), or DSCI 311 . CS courses numbered 400-409...

Computer Science Minor

https://catalog.uoregon.edu/arts-sciences/school-computer-data-sciences/computer-science/min-computer-science/

...CS 300-399, CS 410-499, DSCI 311, DSCI 372M). CS 400-409 courses do...

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