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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/09/preview-of-earl-london-2017.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>The next event in the Effective Applications of the R Language (EARL) conference series takes place next week, with <a rel="nofollow" href="https://earlconf.com/london/" target="_blank">EARL London 2017</a>. The EARL conference series got its start in London, and the London event remains the biggest and brightest of the venues. <a rel="nofollow" href="https://earlconf.com/london/#speakersAnchor" target="_blank">This year's program</a> is no exception, with an impressive raft of tutorials and keynote speakers, and three full tracks of contributed talks focusing on real-world applications of R. Here are a few highlights you might want to check out.</p>
<p>From the Monday tutorial sessions, Jenny Bryan's session on <strong>Writing R Functions for Fun and Profit</strong> promises to be a great session for budding R programmers looking to take their R skills to the next level. If you'd like to learn how to use Microsoft R to implement AI systems with machine learning models, check out the <strong>Working with the MicrosoftML Package</strong> session presented by my colleague, Ali Zaidi. And if you wanted to try the <strong>Introduction to Shiny</strong> session you'd better have registered already: it's sold out!</p>
<p>I'm looking forward to all of the keynote sessions. <strong>Tom Smith</strong> from the Office of National Statistics will surely have some interesting insights on the UK Government's use of R. <strong>Hilary Parker</strong> tells an amazing story about opinionated development from her experiences as a data scientist at Etsy and StitchFix. And the aforementioned <strong>Jenny Bryan</strong>'s<strong> </strong>presentations are always full of useful advice and delightful visuals. There will also be community updates from the <strong>R Consortium</strong> and <strong>R Ladies</strong>.</p>
<p>It's the contributed sessions that are always tricky for me — it's always so hard to choose between the parallel sessions! Here are some talks I've marked in my program:</p>
<ul>
<li>Derek Norton &amp; Neera Talbert, Microsoft: <strong>SAS to R: How to, and is it enough?</strong></li>
<li>Dr Joy McKenny, Northumbrian Water: <strong>Using R to monitor sewer network performance for the water industry</strong>.</li>
<li>Maxime Burlot, Bank of France: <strong>Application of predictive analysis to firms performance dynamics</strong>.</li>
<li>James Lawrence, The Behavioural Insights Team: <strong>Reducing traffic deaths and serious injuries</strong>.</li>
<li>Daniel Dalevi, AstraZeneca: <strong>Saving Millions using R and Shiny in Pharma</strong>.</li>
<li>Simon Field, Microsoft: <strong>How to develop data scientist super powers</strong>.</li>
<li>Chris Chapman, Google. <strong>Choice models for product optimization and pricing.</strong></li>
<li>Ashley Turner, Transport for London. <strong>Using R at TfL</strong>.</li>
<li>Dr Dan Carpenter, Thames Valley Environmental Records Centre: <strong>Bat alert map: predicting bat roost presence using R</strong>.</li>
<li>Dr Sarah Pollicott, Capital One: <strong>The dataCompareR package</strong>.</li>
</ul>
<p>I'll be giving a talk as well: <strong>Reproducible Data Science with R</strong>. I hope to see you in London next week. If you haven't registered yet, last-minute <a rel="nofollow" href="https://earlconf.com/london/#ticketsAnchor" target="_blank">tickets for EARL London 2017</a> are available from the EARL website.</p>
<p>EARL: <a rel="nofollow" href="https://earlconf.com/london/" target="_blank">London 2017</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/2017/09/preview-of-earl-london-2017.html"> Revolutions</a></strong>.</div>
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