Middlebury

MATH0216A-S16

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.
Course Reference Number (CRN):
22427
Subject Code:
MATH
Course Number:
0216
Section Identifier:
A

Course

MATH 0216

All Sections in Spring 2016

Spring 2016

MATH0216A-S16 Lecture (Kim)