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  <div class="vevent h-event"> <h1 class="summary p-name">Data Science Course: Introduction to Scientific Computer for Planners, Engineers, and Scientists</h1> <div class='date'><time class="dtstart dt-start" title="2018-08-06T09:00:00" datetime="2018-08-06T09:00:00">Monday, August 6, 2018 at 9am</time> through <time class="dtend dt-end" title="2018-08-10T17:00:00" datetime="2018-08-10T17:00:00">Friday, August 10, 2018 at 5pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202395968'><span class='fn org p-name'>Portland State Univeristy</span></a> <div class="adr p-adr h-adr"> </div> </div> <div class="description p-description"> <p>Did you ever feel you are “drinking from a hose” with the amount of data you are attempting to analyze? Have you been frustrated with the tedious steps in your data processing and analysis process and thinking, “There’s gotta be a better way to do things”? Are you curious what the buzz of data science is about? If any of your answers are yes, then this course is for you.</p> <p>Classes will all be hands-on sessions with lecture, discussions and labs. Participants can choose to sign up for one or both courses. For more information, <a href="https://trec.pdx.edu/sites/default/files/Intro_Data_Science_Syllabus_v4.pdf">download the syllabus (PDF)</a>.</p> <p><strong>Agenda: Part One - Introductory Course</strong><br> * Coding and scripting basics<br> * Best practices in data science<br> * Version control using Git<br> * Workflow and RStudio, and<br> * How to troubleshoot</p> <p><strong>Agenda: Part Two - Intermediate/Advanced Course</strong><br> * The import-tidy-transform-visualize-model-communicate workflow<br> * The tidyverse suite of packages (dplyr, tidyr, ggplot2, and purrr)<br> * R Markdown</p> <p><strong>Cost</strong><br> August 6-7 Part One: Introduction to Scientific Computing - $350<br> August 8-10 Part Two: Intermediate/Advanced Scientific Computing - $500 <br> DISCOUNT: If you attend both Part One and Part Two - $750</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://trec.pdx.edu/events/data-science-1">Website</a></li> </ul> </div>