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<a class="navbar-brand" href="index.html">DaSEH</a>
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<ul class="nav navbar-nav">
<li>
<a href="https://forms.gle/pfX4zCPFjTinKttaA">Apply</a>
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<h1 class="title toc-ignore"><p><img src="images/DaSEH_banner_wide_transparent.png" /> <br></p></h1>
</div>
<p><br></p>
<div class="leaf">
</div>
<div id="welcome" class="section level1">
<h1>Welcome!</h1>
<hr />
<!-- <div class="leafshape" id="one"><br><b>Travel <br> awards <br> are available <br>for eligible participants!<br><br> -->
<!--   Sept 30 - Oct 10 (online)   <br> Oct 23 - 25 (Seattle) <br> -->
<!-- <a href="https://forms.gle/BNrdKJJ8PHpQtKMS8"> Applications <br> Open! </b><br></a></span> <br> </div> -->
<p>Data Science for Environmental Health (DaSEH) is a short course that combines <strong>online</strong> learning and an <strong>in-person</strong> project-focused intensive. DaSEH is tailored for beginners and novices in R programming, offering instruction on importing, wrangling, visualizing, and analyzing data. It provides hands-on training in using R for statistical computing, a widely-used open-source tool for data analysis and visualization.</p>
<p>This training initiative is funded by National Institute of Environmental Health Sciences <a href="https://reporter.nih.gov/search/cMEAgQFeo025gUX1DDzH9g/project-details/10746327">1R25ES035590-01</a>.</p>
<p><br></p>
<p><img src="images/class.jpg" alt="DaSEH participants in person in a classroom learning about reproducibility." width="100%" /></p>
<p><br></p>
<div id="format" class="section level2">
<h2>Format</h2>
<hr />
<div id="online-course" class="section level4">
<h4>Online course</h4>
<p><em>September 30 - October 10</em><br />
<em>10:30am - 2pm Pacific Time</em></p>
<p>Two-week online course in R programming foundations.</p>
<p><br></p>
</div>
<div id="code-a-thon" class="section level4">
<h4>Code-a-thon</h4>
<p><em>October 23-25 (in person in Seattle)</em><br />
<em>9:30am - 4pm Pacific Time</em></p>
<p>Three-day in-person intensive “Code-a-thon”. Here, we’ll work on authentic environmental health projects. We’ll also practice data ethics skills in peer code review, reproducibility, and transparency in a supportive environment.</p>
<p><br></p>
</div>
<div id="instructors" class="section level4">
<h4>Instructors</h4>
<p><a href="https://carriewright11.github.io/">Carrie Wright</a> (cwright2 @ fredhutch.org), <a href="https://www.avahoffman.com/">Ava Hoffman</a> (ahoffma2 at fredhutch.org), <a href="">Elizabeth Humphries</a> (ehumphri at fredhutch.org)</p>
<p>The lead instructors have earned recognition for excellence in teaching and have trained hundreds of professional learners. We can’t wait to have you in class, too!</p>
<p>We’re also supported by our data scientist, Candace Savonen (csavonen at fredhutch.org).</p>
<p><br></p>
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<div id="testimonials-from-our-other-courses" class="section level2">
<h2>Testimonials from our other courses:</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/fhdsl/DaSEH" class="uri">https://github.com/fhdsl/DaSEH</a></p>
<p>This page was last updated on 2024-11-14.</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 /></p>
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<p style="text-align:center;"> <small> 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>. </small></p>
<p style="text-align:center;"><img src="images/logo_icon_highres.png" height="20"/><small>DaSEH is funded by the National Institute of Environmental Health Sciences <a href="https://reporter.nih.gov/search/cMEAgQFeo025gUX1DDzH9g/project-details/10746327">1R25ES035590-01.</a> </p></small>
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