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  <title>data science on Jon Calder</title>
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  <description>Recent content in data science on Jon Calder</description>
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<lastBuildDate>Wed, 31 May 2017 00:00:00 +0000</lastBuildDate>

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  <title>Data Science Podcasts</title>
  <link>https://www.joncalder.co.za/2017-05-31-data-science-podcasts/</link>
  <pubDate>Wed, 31 May 2017 00:00:00 +0000</pubDate>
  
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  <description>&lt;p&gt;Podcasts are awesome. Especially when you&amp;rsquo;re stuck in traffic on the way to work.&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://www.joncalder.co.za/img/small-imgs/mr_incredible_stuck_in_traffic.jpg&#34; alt=&#34;Mr Incredible stuck in traffic&#34; title=&#34;Mr Incredible stuck in traffic&#34;&gt;&lt;/p&gt;
&lt;p&gt;Below are some podcasts I listen to that relate to data science and statistics. Each of them has something slightly different to offer, so if this is an area of interest to you then I recommend you give these a try!&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://www.joncalder.co.za/img/small-imgs/nssd.png#floatleft&#34; alt=&#34;NSSD logo&#34; title=&#34;NSSD logo&#34;&gt;&lt;/p&gt;
&lt;h4 id=&#34;not-so-standard-deviationshttpssoundcloudcomnssd-podcast&#34;&gt;&lt;a href=&#34;https://soundcloud.com/nssd-podcast&#34;&gt;Not So Standard Deviations&lt;/a&gt;&lt;/h4&gt;
&lt;blockquote&gt;
&lt;p&gt;Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;&lt;img src=&#34;https://www.joncalder.co.za/img/small-imgs/data_skeptic.png#floatright&#34; alt=&#34;Data Skeptic logo&#34; title=&#34;Data Skeptic logo&#34;&gt;&lt;/p&gt;
&lt;h4 id=&#34;data-skeptichttpsdataskepticcom&#34;&gt;&lt;a href=&#34;https://dataskeptic.com/&#34;&gt;Data Skeptic&lt;/a&gt;&lt;/h4&gt;
&lt;blockquote&gt;
&lt;p&gt;Data Skeptic is your source for a perspective of scientific skepticism on topics in statistics, machine learning, big data, artificial intelligence, and data science.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;&lt;img src=&#34;https://www.joncalder.co.za/img/small-imgs/more_or_less_behind_the_stats.png#floatleft&#34; alt=&#34;More or Less: Behind the Stats logo&#34; title=&#34;More or Less: Behind the Stats logo&#34;&gt;&lt;/p&gt;
&lt;h4 id=&#34;more-or-less-behind-the-statshttpwwwbbccoukprogrammesp02nrss1&#34;&gt;&lt;a href=&#34;http://www.bbc.co.uk/programmes/p02nrss1&#34;&gt;More or Less: Behind the Stats&lt;/a&gt;&lt;/h4&gt;
&lt;blockquote&gt;
&lt;p&gt;Tim Harford and the More or Less team from BBC Radio 4 try to make sense of the statistics that surround us.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;&lt;img src=&#34;https://www.joncalder.co.za/img/small-imgs/the_r_podcast.png#floatright&#34; alt=&#34;The R Podcast logo&#34; title=&#34;The R Podcast logo&#34;&gt;&lt;/p&gt;
&lt;h4 id=&#34;the-r-podcasthttpsr-podcastorg&#34;&gt;&lt;a href=&#34;https://r-podcast.org/&#34;&gt;The R-Podcast&lt;/a&gt;&lt;/h4&gt;
&lt;blockquote&gt;
&lt;p&gt;Giving practical advice on how to use R for powerful and innovative data analyses. The host of the R-Podcast is Eric Nantz, a statistician working in the life sciences industry who has been using R since 2004.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;&lt;img src=&#34;https://www.joncalder.co.za/img/small-imgs/partially_derivative.png#floatleft&#34; alt=&#34;Partially Derivative logo&#34; title=&#34;Partially Derivative logo&#34;&gt;&lt;/p&gt;
&lt;h4 id=&#34;partially-derivativehttppartiallyderivativecom&#34;&gt;&lt;a href=&#34;http://partiallyderivative.com&#34;&gt;Partially Derivative&lt;/a&gt;&lt;/h4&gt;
&lt;blockquote&gt;
&lt;p&gt;Hosted by Jonathon, Vidya, and Chris, Partially Derivative is a podcast about data science in the world around us. Episodes are a mix of explorations into the techniques used in data science and discussions with the field&amp;rsquo;s leading experts.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;&lt;img src=&#34;https://www.joncalder.co.za/img/small-imgs/linear_digressions.png#floatright&#34; alt=&#34;Linear Digressions logo&#34; title=&#34;Linear Digressions logo&#34;&gt;&lt;/p&gt;
&lt;h4 id=&#34;linear-digressionshttplineardigressionscom&#34;&gt;&lt;a href=&#34;http://lineardigressions.com/&#34;&gt;Linear Digressions&lt;/a&gt;&lt;/h4&gt;
&lt;blockquote&gt;
&lt;p&gt;Hosts Katie Malone and Ben Jaffe explore machine learning and data science through interesting (and often very unusual) applications.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Are there other data science podcasts missing from this list that you can recommend? Feel free to comment below and let me know!&lt;/p&gt;
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