Select the desired Level or Schedule Type to find available classes for the course. |
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) |
Return to Previous | New Search |