Middlebury

MATH 0118

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 alaptop (owned or college-loaned) to class as many lectures will involve in-class computational activities. (formerly MATH216) 3 hrs lect./disc.
Subject:
Mathematics
Department:
Mathematics
Division:
Natural Sciences
Requirements Fulfilled:
DED
Equivalent Courses:
MATH 0216

Sections in Fall 2021

Fall 2021

MATH0118A-F21 Lecture (Karpman)
MATH0118B-F21 Lecture (Karpman)
MATH0118C-F21 Lecture (Lyford)
MATH0118D-F21 Lecture (Lyford)