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<title> Introduction to R for Public Health Researchers </title>
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<li>
<a href="syllabus.html">Syllabus</a>
</li>
<li>
<a href="materials_schedule.html">Materials + Schedule</a>
</li>
<li>
<a href="resources.html">Resources</a>
</li>
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<div id="header">
<h1 class="title toc-ignore"><p><img src="docs/images/Intro_to_R.png"
style="padding-right: 20px" align="left" width="120" /> Introduction to
R for Public Health Researchers <br></p></h1>
</div>
<p><a href="http://www.jhsph.edu/"><img alt = "JHSPH" align="right" src="docs/images/bloomberg.logo.small.horizontal.blue.png" style="width:40%"/></a>
<br> <br></p>
<p><br></p>
<div id="overview" class="section level2">
<h2>Overview</h2>
<hr />
<p><strong>Welcome to Introduction to R for Public Health
Researchers!</strong></p>
<p>This course is for students who have little to no familiarity with
the R programming language and want to learn more about how to use R to
import, wrangle, visualize, and analyze data.</p>
<p>The course will provide students with <strong>“hands-on”
training</strong> for analyzing data with the R programming language for
statistical computing, a popular open-source solution for data analysis
and visualization.</p>
<div id="instructors" class="section level3">
<h3>Instructors</h3>
<p><a href="https://carriewright11.github.io/">Carrie Wright</a>
(cwrigh60 at jhu.edu), <a href="https://www.avahoffman.com/">Ava
Hoffman</a> (ava.hoffman at jhu.edu), <a
href="https://clifmckee.github.io/">Clifton McKee</a> (cmckee7 at
jhu.edu)</p>
</div>
<div id="teaching-assistant" class="section level3">
<h3>Teaching Assistant</h3>
<p>Charlotte Clapham (cclapha1 at jh.edu), Tashnim Rafa (trafa1 at
jh.edu)</p>
<p><br></p>
</div>
</div>
<div id="class" class="section level2">
<h2>Class</h2>
<hr />
<ul>
<li>June 10-14, 17-18, and 20-21, 2024 1:30PM-4:50PM on Zoom - In
recognition of <a
href="https://en.wikipedia.org/wiki/Juneteenth">Juneteenth</a>, there
will be <strong>no class on Wednesday June 19th, 2024.</strong>.</li>
<li>Zoom link will be emailed prior to the first class.</li>
<li><a
href="https://jhudatascience.org/intro_to_r/docs/module_details/day0.html">Installation
Instructions</a> - This is <strong>required</strong> before the course,
but we can help you on the first day (or before) if you have
trouble.</li>
<li>Slack Workspace invitation will be sent directly via email.</li>
<li><a
href="https://courseplus.jhu.edu/core/index.cfm/go/syl:syl.public.view/coid/21696/">CoursePlus
Website</a></li>
<li><a href="syllabus.html">Syllabus</a></li>
<li><a href="materials_schedule.html">Materials + Schedule</a></li>
<li><a href="resources.html">Resources</a></li>
</ul>
<p><br></p>
</div>
<div id="testimonials" class="section level2">
<h2>Testimonials</h2>
<hr />
<p>“Thanks all for a wonderful course! I feel super confident in R now
and I am excited to apply what we learned to future projects. Cheers
!!”</p>
<p>“I feel like a data witch now! I just say poof and the data looks the
way I want”</p>
<p>“OK - this is getting to be too much fun now”</p>
<p>“My 14 year old thinks this class looks cool and wants to take it
(she’s a wanna be engineer)”</p>
<p><br></p>
</div>
<div id="find-an-error" class="section level2">
<h2>Find an Error!?</h2>
<hr />
<p>Feel free to submit typos/errors/etc via the GitHub repository
associated with the class: <a
href="https://github.com/jhudsl/intro_to_r"
class="uri">https://github.com/jhudsl/intro_to_r</a></p>
<p>This page was last updated on 2024-07-12.</p>
<p style="text-align:center;">
<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://live.staticflickr.com/4557/26350808799_6f9c8bcaa2_b.jpg" height="150"/>
</a>
</p>
<p><br />This work is licensed under a
<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">Creative
Commons Attribution-NonCommercial-ShareAlike 4.0 International
License</a>.</p>
</div>
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