<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/edward-tufte-keynote-presenter-at-data-science-summit-sep-26-27/"></div></div><div><a data-url="https://www.r-bloggers.com/edward-tufte-keynote-presenter-at-data-science-summit-sep-26-27/" data-counturl="https://www.r-bloggers.com/edward-tufte-keynote-presenter-at-data-science-summit-sep-26-27/" data-count="horizontal" data-text="Edward Tufte Keynote Presenter at Data Science Summit, Sep 26-27" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2016/08/tufte-keynote.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>I'm excited to share that one of my data science heroes will be a presenter at the <a target="_blank" href="https://ignite.microsoft.com/microsoftdatascience#fbid=qKwamnW6xyS">Microsoft Data Science Summit</a> in Atlanta, September 26-27. <a target="_blank" href="https://www.edwardtufte.com/tufte/">Edward Tufte</a>, the data visualization pioneer, will deliver a keynote address on the future of data analysis and the how to make more credible conclusions based on data.</p>
<p>If you're not familiar with Tufte, a great place to start is to read his seminal book <a target="_blank" href="https://www.edwardtufte.com/tufte/books_vdqi">Visual Display of Quantitative Information</a>. First published in 1983 — well before the advent of mainstream data visualization software — this is the book that introduced and/or popularized many familiar concepts in data visualization today, such a small multiples, sparklines, and the data-ink ratio. Check out this <a target="_blank" href="http://washingtonmonthly.com/magazine/mayjune-2011/the-information-sage/">2011 Washington Monthy profile</a> for more background on Tufte's career and influence. Tufte's work also influenced R: you can easily <a target="_blank" href="http://blog.revolutionanalytics.com/2016/04/tufte-style-graphics-in-r.html">recreate many of Tufte's graphics in the R graphics system</a>, including <a target="_blank" href="http://blog.revolutionanalytics.com/2015/01/a-beautiful-story-about-nyc-weather.html">this famous weather chart</a>.</p>
<p><a target="_blank" href="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b7c88b0f07970b-pi"><img title="Chicago2015" alt="Chicago2015" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b7c88b0f07970b-800wi" border="0"></a></p>
<p>The program for the Data Science Summit looks fantastic, and will also include keynote presentations from Microsoft CEO Satya Nadella and Data Group CVP Joseph Sirosh. Also there's a fantastic crop of Microsoft data scientists (plus yours truly) giving a wealth of practical presentations on how to use Microsoft tools and open-source software for data science. Here's just a sample:</p>
<ul>
<li>Jennifer Marsman will speak about building intelligent applications with the <a target="_blank" href="https://www.microsoft.com/cognitive-services">Cognitive Services APIs</a></li>
<li>Danielle Dean will describe deploying real-world <a target="_blank" href="https://channel9.msdn.com/Events/Cortana-Analytics-Suite/CA-Suite-Workshop-10-11SEP15/Predictive-Maintenance-in-the-IoT-Era">predictive maintenance solutions</a> based on sensor data</li>
<li>Brandon Rohrer will give a live presentation of his <a target="_blank" href="http://blog.revolutionanalytics.com/2016/06/data-science-for-beginners.html">Data Science for Absolutely Everybody</a> series</li>
<li>Frank Seide will introduce <a target="_blank" href="https://github.com/Microsoft/CNTK">CNTK</a>, Microsoft's open source deep learning toolkit</li>
<li>Maxim Likuyanov will share some best practices for interactive data analysis and scalable machine learning with Apache Spark</li>
<li>Rafal Lukawiecki will explain how to apply data science in a business context </li>
<li>Debraj GuhaThakurta and Max Kaznady will demonstrate statistical modeling on huge data sets with Microsoft R Server and Spark</li>
<li>David Smith (that's me!) will give some examples of how data science at Microsoft (and R!) is being used to improve the lives of disabled people</li>
<li>… and many many more!</li>
</ul>
<p>Check out the agenda for the breakout sessions on the <a target="_blank" href="https://ignite.microsoft.com/microsoftdatascience#fbid=qKwamnW6xyS">Data Science Summit</a> page for more. I hope to see you there: it will be a great opportunity to meet with Microsoft's data science team and see some great talks as well. To register, follow the link below.</p>
<p>Microsoft Data Science Summit, September 26-27, Altanta GA: <a target="_blank" href="https://datasciencesummit.azurewebsites.net/auth/register?type=regular">Register Now</a></p>
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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://blog.revolutionanalytics.com/2016/08/tufte-keynote.html"> Revolutions</a></strong>.</div>
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