This page has everything you need to do to prepare for class. Ideally, you should do all these things before the first day of class.

First, register for the following:

Next, install R and RStudio:

We will always work in RStudio, so be careful to open RStudio and not the default R application that comes with R.

In other words:

Open this Not this

Course prerequisites

Students should have taken Programming for Analytics or have experience with at least one programming language. If you’re not sure whether you have the necessary prerequisite skills, you can try and get up to speed by completing Assignment 0 before classes start. Once classes start, it may be difficult to keep up without this background, and it may be more beneficial to wait and take this course next year after taking Programming for Analytics in the coming Fall.

EMSE 4197 (CRN 78916): Exploratory Data Analysis - Spring 2020
George Washington University | School of Engineering & Applied Science
Dr. John Paul Helveston | | Wednesdays | 12:45–3:15 PM | District House B205 | |
This work is licensed under a Creative Commons ShareAlike 4.0 International License.
See the licensing page for more details about copyright information.
Content 2020 John Paul Helveston