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MATH 0216 - Introduction to Data Science |
*Introduction to Data Science*
In this course students will gain exposure to the entire data science pipeline: forming a statistical question, collecting and cleaning data sets, performing exploratory data analyses, identifying appropriate statistical techniques, and communicating the results, all the while leaning heavily on open source computational tools, in particular the R statistical software language. We will focus on analyzing real, messy, and large data sets, requiring the use of advanced data manipulation/wrangling and data visualization packages. Students will be required to bring their own laptops as many lectures will involve in-class computational activities. 3 hrs lect./disc.
0.000 OR 1.000 Credit hours 0.000 OR 1.000 Lecture hours 0.000 OR 1.000 Lab hours 0.000 TO 2.000 Other hours Levels: Undergraduate Schedule Types: Lab, Lecture All Sections for this Course Natural Sciences Division Mathematics Department Course Attributes: DED Restrictions: Must be enrolled in one of the following Colleges: Undergraduate Prerequisites: |
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