Introduction to Data Science
Lab - MATH 0216 A

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.
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MATH 0216

All Sections in Fall 2020

Fall 2020

MATH0216A-F20 Lecture (Lyford)
MATH0216B-F20 Lecture (Karpman)
MATH0216C-F20 Lecture (Lyford)
MATH0216Y-F20 Lab (Lyford)
MATH0216Z-F20 Lab (Lyford)