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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/10/recent-updates-to-the-team-data-science-process.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>It's been over a year since we first introduced <a rel="nofollow" href="https://blogs.msdn.microsoft.com/buckwoody/2017/10/26/the-keys-to-effective-data-science-projects-part-10-project-close-out-with-the-tdsp/" target="_blank">introduced</a> the <a rel="nofollow" href="https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/overview" target="_blank">Team Data Science Process</a> (TDSP). The data, technology and practices behind Data Science continue to evolve, and the TDSP has evolved in parallel. Over the past year, several new facets have been added, including:</p>
<ul>
<li>The <a rel="nofollow" href="https://github.com/Azure/Azure-TDSP-Utilities" target="_blank">IDEAR</a> (Interactive Data Exploration, Analysis and Reporting) framework, an open source extension to R and Python designed to standardize the process of data exploration and reporting;</li>
<li>Guidance for use of Spark 2.0, including an end-to-end <a rel="nofollow" href="https://blogs.technet.microsoft.com/machinelearning/2017/03/22/end-to-end-data-science-walkthrough-with-spark-2-0-on-azure-hdinsight-hadoop-clusters/" target="_blank">Spark v2.0 walkthrough</a>;</li>
<li>Guidance for use of in-database Python with SQL Server, including an <a rel="nofollow" href="https://docs.microsoft.com/en-us/sql/advanced-analytics/tutorials/sqldev-in-database-python-for-sql-developers" target="_blank">end-to-end in-database Python tutorial</a>;</li>
<li><a rel="nofollow" href="https://docs.microsoft.com/en-us/azure/machine-learning/preview/how-to-use-tdsp-in-azure-ml" target="_blank">Instantiation of TDSP projects and templates</a> within the new <a rel="nofollow" href="http://azureml.azureedge.net/content/apphome/index.html" target="_blank">Azure Machine Workbench</a>.</li>
</ul>
<p><a rel="nofollow" href="http://a7.typepad.com/6a0105360ba1c6970c01b8d2b97577970c-pi" target="_blank"><img border="0" alt="TDSP2017" title="TDSP2017" src="http://a7.typepad.com/6a0105360ba1c6970c01b8d2b97577970c-800wi"></a></p>
<p>For an example of applying the TDSP to effective data science projects, check out Buck Woody's <a rel="nofollow" href="https://blogs.msdn.microsoft.com/buckwoody/2017/10/26/the-keys-to-effective-data-science-projects-part-10-project-close-out-with-the-tdsp/" target="_blank">10-part series walking through every stage of a typical data science project</a>. </p>
<p>As the practice of data science changes, the TDSP continues to evolve. The <a rel="nofollow" href="https://github.com/Azure/Microsoft-TDSP" target="_blank">TDSP is an open project hosted on Github</a>, and your <a rel="nofollow" href="https://github.com/Azure/Microsoft-TDSP#contributing-to-tdsp" target="_blank">contributions</a> are welcome.</p>
<p>Cortana Intelligence and Machine Learning Blog: <a rel="nofollow" href="https://blogs.technet.microsoft.com/machinelearning/2017/10/09/the-microsoft-team-data-science-process-tdsp-recent-updates/" target="_blank">The Microsoft Team Data Science Process (TDSP) – Recent Updates</a></p>
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