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STAT 220.00 Introduction to Data Science 6 credits

Open: Size: 30, Registered: 13, Waitlist: 0

CMC 102

Synonym: 61462

Deepak Bastola

(Formerly Mathematics 285) This course will cover the computational side of data analysis, including data acquisition, management, and visualization tools. Topics may include: data scraping, data wrangling, data visualization using packages such as ggplots, interactive graphics using tools such as Shiny, supervised and unsupervised classification methods, and understanding and visualizing spatial data. We will use the statistics software R in this course.

Prerequisite: Statistics 120 (formerly Mathematics 215), Statistics 230 (formerly Mathematics 245) or Statistics 250 (formerly Mathematics 275)

Formerly Mathematics 285

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You must take 6 credits of each of these.
You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
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