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(This article was first published on <strong><a href="https://www.jumpingrivers.com/blog/data-science-podcast-recommendations/"> r – Jumping Rivers</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Anyone who has a long commute or who has to travel with work knows the importance of podcasts. Podcasts allow you turn otherwise useless time, into something both productive and interesting. In this blog post, we’ll describe some of our favourite podcasts.</p>
<p>This list isn’t meant to be exhaustive, it’s just what we are <strong>currently</strong> listening too – our top 5. But don’t fret, we’ve created a <a rel="nofollow" href="https://jumpingrivers.github.io/podcasts/" target="_blank">comprehensive</a> list, so let us know if any are missing.</p>
<h3>Not so Standard Deviations</h3>
<p>A <a rel="nofollow" href="https://twitter.com/nssdeviations" target="_blank">data science</a> podcast by Roger Peng <a rel="nofollow" href="https://twitter.com/rdpeng" target="_blank">@rdpeng</a> and Hilary Parker <a rel="nofollow" href="https://twitter.com/hspter" target="_blank">@hspter</a> who talk about the latest in data science and data analysis in academia and industry. They talk a lot about R and common problems in the life of a data scientist. A nice mixture of technical and light topics.</p>
<h3>Grumpy Old Geeks</h3>
<blockquote>
<p>What went wrong on the internet and who’s to blame</p>
</blockquote>
<p><a rel="nofollow" href="http://gog.show/" target="_blank">Two “elder” geeks</a>, complain about the internet and tech at large. Amusing, especially for their disdain for AI. Not really data science, but general tech. Warning: sometimes the language is “adult”.</p>
<h3>Dataframed</h3>
<p>The official <a rel="nofollow" href="https://www.datacamp.com/community/podcast?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank">podcast</a> from Data Camp. Each episode takes the form of an interview.</p>
<h3>More or Less</h3>
<p><a rel="nofollow" href="https://www.bbc.co.uk/programmes/b006qshd" target="_blank">Tim Harford</a> explains – and sometimes debunks – the numbers and statistics used in political debate, the news and everyday life. The programme has a UK slant but covers global topics. It’s very useful for playing in the car in the presence of non-data scientists!</p>
<h3>In our Time</h3>
<p><a rel="nofollow" href="https://www.bbc.co.uk/programmes/b006qykl/episodes/a-z/a" target="_blank">In Our Time</a> is a live BBC radio discussion series exploring the history of ideas, presented by Melvyn Bragg since 15 October 1998. It covers a variety of topics, including Mathematics. Each programme lasts one hour.</p>
<p><a rel="nofollow" href="https://www.jumpingrivers.com/?utm_source=blog&utm_medium=image&utm_campaign=2018-podcast" target="_blank"><img alt="" src="https://i1.wp.com/blog.jumpingrivers.com/img/logos/300_125.jpg?w=456&ssl=1" data-recalc-dims="1"></a>]</p>
<p>The post <a rel="nofollow" href="https://www.jumpingrivers.com/blog/data-science-podcast-recommendations/" target="_blank">Podcast recommendations</a> appeared first on <a rel="nofollow" href="https://www.jumpingrivers.com/" target="_blank">Jumping Rivers</a>.</p>
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