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. (Not open to students who have taken BIOL 1230, ECON 1230, ENVS 1230, FMMC 1230, HARC 1230, JAPN 1230, LNGT 1230, NSCI 1230, MATH 1230, SOCI 1230, LNGT 1230, PSCI 1230, WRPR 1230, or GEOG 1230.)
Subject:
Mathematics
Department:
Mathematics & Statistics
Division:
Natural Sciences
Requirements Fulfilled:
DED
Equivalent Courses:
MATH 0116
SOCI 1230 *
HARC 1230 *
STAT 0201
MATH 1230
ENVS 1230 *
STAT 0118 *
JAPN 1230 *
ECON 0111 *
NSCI 1230 *
FMMC 1230 *
WRPR 1230 *
LNGT 1230
BIOL 1230 *
ECON 0210
PSCI 1230 *
GEOG 1230 *
MATH 0201
MATH 0216
ECON 1230 *

Sections in Spring 2007