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(This article was first published on <strong><a href="http://ekonometrics.blogspot.com/2016/07/data-science-boot-camp-completed-at.html"> eKonometrics</a></strong>, and kindly contributed to <a rel="nofollow" href="http://www.r-bloggers.com/">R-bloggers)</a> </div>
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<div><span lang="EN-CA"><span>I am pleased to update you on the <a target="_blank" href="https://sites.google.com/site/statsr4us/workshops/datascience">Data Science Boot Camp</a> we ran at the <a target="_blank" href="http://www.ryerson.ca/tedrogersschool/">Ted Rogers School of Management</a> at Ryerson University in Toronto in collaboration with IBM’s <a target="_blank" href="http://www.bigdatauniversity.com/">www.BigDataUniversity.com</a>. The 9-week long Boot Camp concluded on July 15. </span></span></div>
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<div><span lang="EN-CA"><span>We received a total of 1,137 registrations and the attendance ranged between 100 to 150 participants each week. </span></span></div>
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<div><span lang="EN-CA"><span>I have made the resources (software codes, PowerPoints, etc.) available online at <a target="_blank" href="https://sites.google.com/site/statsr4us/workshops/datascience">https://sites.google.com/site/statsr4us/workshops/datascience</a>. We recorded 24 hours of video, which we will be online soon.</span></span></div>
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<div><span lang="EN-CA"><span>I restricted the hands-on training to R, hence the Boot Camp serves as an introduction to analytics with R. You are welcome to share these resources.</span></span></div>
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<div><span lang="EN-CA"><span>A breakdown of weekly schedule is provided in the following hyperlinked list:</span></span></div>
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<div><span lang="EN-CA"><a target="_blank" href="https://sites.google.com/site/statsr4us/workshops/datascience/week-0"><span>Week 0: Introduction &amp; logistics</span></a><span> </span></span></div>
<div><span lang="EN-CA"><a target="_blank" href="https://sites.google.com/site/statsr4us/workshops/datascience/week-1"><span>Week-1: Head first into data</span></a><span> </span></span></div>
<div><span lang="EN-CA"><a target="_blank" href="https://sites.google.com/site/statsr4us/workshops/datascience/week2"><span>Week-2: Data, data, &amp; data</span></a><span> </span></span></div>
<div><a target="_blank" href="https://sites.google.com/site/statsr4us/workshops/datascience/week-3"><span>Week-3: The Grandfather of All Analytics</span></a></div>
<div><span lang="EN-CA"><a target="_blank" href="https://sites.google.com/site/statsr4us/workshops/datascience/week-4"><span>Week-4: Rinse &amp; Repeat</span></a><span> </span></span></div>
<div><span lang="EN-CA"><a target="_blank" href="https://sites.google.com/site/statsr4us/workshops/datascience/week-5"><span>Week-5: The Economics of Infidelity</span></a><span> </span></span></div>
<div><span lang="EN-CA"><a target="_blank" href="https://sites.google.com/site/statsr4us/workshops/datascience/week-6"><span>Week-6: Time Series is Money</span></a><span> </span></span></div>
<div><span lang="EN-CA"><a target="_blank" href="https://sites.google.com/site/statsr4us/workshops/datascience/bubble"><span>Week-7: Housing Bubbles</span></a><span> </span></span></div>
<div><span lang="EN-CA"><a target="_blank" href="https://sites.google.com/site/statsr4us/workshops/datascience/week-8"><span>Week-8: Choice Metrics</span></a></span><span lang="EN-CA"></span></div>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://ekonometrics.blogspot.com/2016/07/data-science-boot-camp-completed-at.html"> eKonometrics</a></strong>.</div>
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