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. 3 hrs lect./disc.
Natural Sciences
Requirements Fulfilled:
Equivalent Courses:
WRPR 1230 *
HARC 1230 *
MATH 0201
NSCI 1230 *
ENVS 1230 *
JAPN 1230 *
STAT 0201
PSCI 1230 *
FMMC 1230 *
LNGT 1230
BIOL 1230 *
SOCI 1230 *
GEOG 1230 *
STAT 0118 *
MATH 1230
ECON 1230 *
MATH 0118

Sections in Spring 2024