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Fall 2018
Nov 30, 2021
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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. (MATH 0116; or ECON 0210 or PSYC 0201 and experience with R) 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: Lecture

Natural Sciences Division
Mathematics Department

Course Attributes:
CW, DED

Restrictions:
Must be enrolled in one of the following Colleges:     
      Undergraduate
May not be enrolled as the following Classifications:     
      0-2.99 Credits

Prerequisites:
Undergraduate level MATH 0116 Minimum Grade of D or (Undergraduate level ECON 0210 Minimum Grade of D or Undergraduate level PSYC 0201 Minimum Grade of D)

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