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<title>WOMBAT: Workshop organised by Monash Business Analytics Team</title>
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<h1 id="project_title"> Open the World with Open Source</h1>
<h2 id="project_tagline" > <a href="https://numbats.github.io/WOMBAT2024/" > Workshop Organised by the Monash Business Analytics Team (WOMBAT) </a> </h2>
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<h2> Tutorial AM 3: Oct 22 9:00-12:30 </h2>
<h3> Turning R code into production quality software </h3> <br>
<em> Presenter: </em> <a href="https://www.deanmarchiori.com"> Dean Marchiori</a> is an applied mathematician and specialist in statistical analysis, data science and R programming. He is the Director and Principal Statistician at <a href="https://www.wavedatalabs.com.au/" Wave Data Labs</a> and co-chair of the <a href="https://www.statsoc.org.au"> Statistical Society of Australia</a>’s <a href="https://www.statsoc.org.au/Statistical-Computing-and-Visualisation-Section"> Section for Statistical Computing and Visualisation</a>. Previously Dean was also a sessional teaching academic in the School of Mathematical and Physical Sciences at Macquarie University. His areas of specialisation are in time series modelling & anomaly detection, geospatial analytics, unsupervised clustering methods and the R programming language. Dean obtained his Bachelor of Science in Mathematics with University Medal from Charles Sturt University. He also holds a Master of Applied Finance degree, and a Master of Applied Statistics from Macquarie University where he was awarded the Julian Leslie Prize. Dean holds the Accredited Statistician (AStat) qualification from the Statistical Society of Australia and was named one of the top 10 analytics professionals in Australia by the Institute of Analytics Professionals of Australia (IAPA).
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<strong> Tutorial details </strong>
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Most analyses start with the analyst experimenting with R code in a script or a notebook. But what happens when this experimental work becomes mission critical and starts being used to make real-world decisions? This tutorial will cover the basics of converting experimental R code into high-quality Production grade R software that can be relied on. It will cover hands-on demonstrations of tools and techniques such as R packages, functional code, documentation, testing, hosting and deployment.
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<em> Background:</em> This is an introductory course perfect for users familiar with writing R code for themselves who now want it work well with others.</p>
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<span style="color: #D93F00; font-size: 120%;"> Register </span> for this tutorial <strong style="font-size: 120%;"> <a href="https://events.humanitix.com/wombat-2024-day-1">here</a>. </strong> </p>
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Copyright ©2015-2024 Monash University</p>
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