coe-staff: New Course offer for Spring - Exploring Data with R

[Denise McKenney]

The Educational Methodology, Policy and Leadership (EMPL) is pleased to offer the following Spring 2017 course for your consideration.
Please forward to students you think will benefit from this course.
EDLD 610 Exploring Data with R

Tuesdays and Thursdays, 10:00-11:50am, 4 credits taught by Daniel Anderson - CRN 37117
The overall purpose of this course is to provide students with a basic foundation in R. We will focus primarily on three components: data processing (munging/manipulating/wrangling), data visualization, and reproducible workflows. This course is oriented around the philosophy of tidy data and, as such, primarily relies on tools within the tidyverse for manipulating and visualizing data. The tidyverse is a suite of packages developed by RStudio, generally led by Hadley Wickham, which are all optimized for tidy data. The focus of this course is on working with R, as opposed to the specifics of any given analysis. Students should, therefore, expect to acquire a basic understanding of the foundational practices of exploring data within the R framework. As such, students are expected to have a basic understanding of statistics (e.g., regression) prior to taking the course, given that statistical models will be used for illustrative examples throughout, but high-level statistical knowledge (e.g., multilevel modeling or structural equation modeling) is not a prerequisite.



Denise McKenney
Business & Operations Coordinator
Educational Methodology, Policy and Leadership
102 Lokey Education
5267 University of Oregon, Eugene, OR 97403
p: 541-346-5011 f: 541-346-5174
mckenney at uoregon.edu<mailto:mckenney at uoregon.edu>

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