Reviews
“Partially Derivative was a nice series of podcasts on Data Science and related subjects (Machine Learning, AI) with a decontracted style and beer tasting by very geek hosts: Jonathon Morgan, data scientist, and ex-White House data science advisor, Vidya Spandana, engineer, Presidential Innovation...”Read full review »
Claude Coulombe via Apple Podcasts ·
Canada ·
06/28/18
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“Please come back soon!”
Tired of the lies via Apple Podcasts ·
United States of America ·
02/02/18
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“This was the most entertaining Data Science Podcast. Too bad the recently stopped it, but the back issues are gold!”
GreatStuff123 via Apple Podcasts ·
Great Britain ·
11/15/17
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“I am a student just learning data analysis and this podcast is fun and approachable”
D20chick via Apple Podcasts ·
United States of America ·
11/02/17
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“Informative and entertaining. Will miss you!”
DMedw via Apple Podcasts ·
Australia ·
09/06/17
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“When the hard math and broken code gets me down this podcast lifts me up. Really enjoy how upbeat this podcast is.”
Mo Azim via Apple Podcasts ·
United States of America ·
08/07/17
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“I just heard Vidya giving Chris a load of grief for drinking something non alcoholic (coffee) when it was already midday. You guys crack me up. Then there was the Vidya 'tirade' after being asked "where are you from" - love it!!!!! Please don't ever stop.”
HumphreyG via Apple Podcasts ·
Australia ·
08/06/17
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“Beer, Data and Laughter - what more could you want? I'm new to data science, but found this Podcast one day on a Google Search. Now listen to it everyday when I'm driving on the motorway to work. I'm not even halfway through the podcasts yet and I'm learning new things everyday. Keep doing what...”Read full review »
jesswallaceuk via Apple Podcasts ·
Great Britain ·
07/31/17
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“I work at a large financial analytics company as an account manager. I'm picking up data science skills now, and trying to incorporate this interest into my work within the commercial side of my organization. It's difficult to do when you aren't interacting with data or data scientists on a...”Read full review »
AFoster1 via Apple Podcasts ·
United States of America ·
04/26/17
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“How do you make 7 even?!
You take away the "s"!!
I'm a data analyst and I love the show! Very informative of what's what in data science! Keep drinking and keep podcasting”
Larbear6 via Apple Podcasts ·
United States of America ·
04/14/17
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“Great way to hear about interesting data science stories across a range of fields. Hosts are intelligent, witty, and lots of fun to listen to. Keep it coming!”
LOLonthestairmill via Apple Podcasts ·
United States of America ·
04/05/17
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“Great selection of topics blended with personal experiences ! Top data science podcast out there!”
Shreykatx via Apple Podcasts ·
United States of America ·
03/24/17
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“A great reminder that data scientists are just human beings with flaws, insecurities, passions, opinions and senses of humor.”
GoWildCats99! via Apple Podcasts ·
United States of America ·
03/19/17
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“Fun and entertaining. Always makes me laugh and then think...”
Dominix3 via Apple Podcasts ·
Sweden ·
03/03/17
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“I absolutely love this podcast. I am so glad I stumbled upon it. Both Chris and Jonathan are so much fun to listen to. I love their discussions about each article -- I learn a tremendous amount. Thanks so much! I would recommend this podcast even if you don't come from a technical background....”Read full review »
Emattson via Apple Podcasts ·
United States of America ·
03/02/17
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“These folks know their stuff, but this podcast is also accessible if you are not a hard core math person. They cover the latest news in the world of Data Science and also are behind the great 'Data For Democracy' effort. They often start out letting you know what beer they're drinking for that...”Read full review »
S Charlesworth via Apple Podcasts ·
United States of America ·
02/15/17
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“Interesting topics, fast moving, and very smart guests. Well worth it.”
Frodar via Apple Podcasts ·
United States of America ·
02/12/17
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“I started listening to Partially Derivative to get inspiration for a data mining class in college. It's extremely easy to understand (even for people like me who are not very experienced with data science), hilarious, and extremely informative. Perfect for any (aspiring) data-geek!”
papayaschmidt via Apple Podcasts ·
United States of America ·
02/09/17
“If you're listening to learn more about data science, I think that the best episodes are before "The Big Reveal." Episodes after that are more entertaining but seem to be a little less informative to me.”
Finance PhD via Apple Podcasts ·
United States of America ·
12/22/16
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“I'm a bit of a latecomer, but I found this while (comically) working on project using podcast data.”
Eugene1248 via Apple Podcasts ·
United States of America ·
12/15/16
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“So glad that I found this podcast as I'm diving into a new phase of my career getting into analytics. The personalities on this show are hilarious, witty and fun.”
Cassieleighl via Apple Podcasts ·
United States of America ·
12/09/16
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“Chris and Jonathon have great chemistry, and present data science articles from the community in a really informative and interesting manner. Thoroughly recommended to all those interested in data science.”
Ben5490 via Apple Podcasts ·
Great Britain ·
11/01/16
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“This is a fantastic show for anyone interested in data science.”
JKJ2004 via Apple Podcasts ·
United States of America ·
09/12/16
“So this was brilliant. Only two episodes in and I'm addicted. Also, the name is hilarious. Definitely a must watch for those interested in Data science but struggling to invest time in the more dry alternatives.”
Skitree via Apple Podcasts ·
United States of America ·
07/19/16
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“I’m not liking how they edit out the questions in the “Science of…” series. Just makes the podcast bland and leaves out the context of what’s being talked about. Production quality has been steadily going down since the podcast first came out.”
reubano04 via Apple Podcasts ·
United States of America ·
06/18/16
“I'm new to data science and this podcast has been key to making the field more accessible and giving me tips on where to start and what conversations to pay attention to. Plus, it feels like sitting at a bar with friends, talking about cool ideas, laughing, and drinking good beer... I find myself...”Read full review »
Burrusskm via Apple Podcasts ·
United States of America ·
05/13/16
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“This is a fantastic podcast for anyone interested in data and data science. The hosts are funny and provide some really great resources while telling interesting stories.”
peconeto via Apple Podcasts ·
United States of America ·
05/08/16
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“This podcast allowed me to step into the world of data science with little knowledge. The show is funny, insightful and gave me a way to move forward in data science. The last few shows focusing on one topic were a little less fun. The show seems to have stopped now the presenters have started...”Read full review »
Red_Nigel via Apple Podcasts ·
Australia ·
01/10/16
“I'm not sure how I feel about the change from reviewing data-related stories to topic-based episodes. While the content is still amazing, I liked the old banter.”
matthayes91 via Apple Podcasts ·
United States of America ·
10/26/15
“The show is absolutely entertaining without diluting its information quality. It’s like a data science version of Car Talk with beer minus the bean mouthed cackles, calls from the vehicular destitute, and nasally interruptions from Ira Glass guilt tripping commuters into donating for fear of...”Read full review »
ThePander via Apple Podcasts ·
United States of America ·
10/12/15
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“This is a fantastic podcast for anyone with even a remote interest in numbers--how we generate them, how we interpret them, and how they affect everything from journalism to sports to romance. The hosts are hilarious, and they clearly put a lot of work into collecting and summarizing the week's...”Read full review »
ottieinbklyn via Apple Podcasts ·
United States of America ·
09/17/15
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“Almost ready to unsubscribe when this episode was presented as I prefer with "pods": editing out the questions so the guest can seemingly just talk, and I do not have to hear the new "eh": e.g.,, "What a great question..."
This episode was a mental manageable around 30 minutes, so no Ego Trips...”Read full review »
zyzzyva57 via Apple Podcasts ·
United States of America ·
08/28/15
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“Awesome ,super exciting but somewhat in need of new adjectives. Actually has been very useful in providing real news links that matter to my job”
Datalib via Apple Podcasts ·
South Africa ·
08/02/15
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“A little short, but absolutely brilliant.”
AlixandraQ via Apple Podcasts ·
Germany ·
06/30/15
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“Chris and Jonathan deliver on the meaty gritty stuff of everything data science. Whether you're new or a veteran in ds, they'll explain terms and tools laconically and you'll always learn something new. A must on my daily bike ride commute. Thank you for a great podcast!!!”
Oleh Dubno via Apple Podcasts ·
United States of America ·
06/13/15
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“I got hooked and listened to all episodes over the weekend. A great podcast.”
WwhawkwW via Apple Podcasts ·
United States of America ·
06/01/15
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“Great Show :-)”
Kaltera via Apple Podcasts ·
Great Britain ·
05/29/15
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“They're nerds, they love data, they love to drink. It's my kind of podcast.”
chadMoller via ·
05/26/15
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“This is exactly what I was hoping for when I started poking around for a data related podcast. I'm trying to teach myself data science techniques, and there is a crazy wealth of information every week. I've come across so many really good examples to follow and tools to try. There is a great...”Read full review »
Aaron1838494 via Apple Podcasts ·
United States of America ·
05/26/15
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“The guys talk about interesting, topical things in data science, in a non-scientific way, or, at least, in a non-lab coat way. With these guys, data isn't dry, probably because they’re staying liquid while recording the cast. Awesome, guys!”
Juuky via Apple Podcasts ·
United States of America ·
05/22/15
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“I have been meaning to write this for a while. These guys are an inspiration to current or aspiring data scientists. They make complicated information fun and accessible. Definitely recommend.”
AliceAlbrecht via Apple Podcasts ·
United States of America ·
05/17/15
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“These bros bring it with these sounds to the dome. Great insights to the data all around us with a good excuse to lose focus on frosty nectar. Most certainly don't have to be a data geek to get in to this. #fistbump”
JMBrades via Apple Podcasts ·
United States of America ·
05/04/15
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“Data! Beer! You guys totally rock my world during my 70-minute commute to work in Tokyo. I must appear to be a total data o-taku (nerd) when I have my headphones on and I am snickering to myself as I listen your podcasts. Please keep it coming!”
buruzaemon via Apple Podcasts ·
Japan ·
04/29/15
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“Partially Derivative has displaced Freakonomics as my favorite podcast. I actually listen to both on Stitcher, but came here to write a review because the hosts ask for them.”
BrooklynOx via Apple Podcasts ·
United States of America ·
04/10/15
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“You don't need to know too much to enjoy it. They do a great job of making the subject matter approachable.”
mashu_ via Apple Podcasts ·
United States of America ·
04/10/15
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“Very entertaining and fun to listen!”
andreysl via Apple Podcasts ·
Switzerland ·
04/06/15
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“These guys are great. Love how they summarize all the most important data science news of the week and make them fun. Keep it up !!”
GusSand via Apple Podcasts ·
United States of America ·
04/04/15
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“Picking out the best stories of the week and showering them humour and insight - all in a haze some pretty hardcore craft beer. What's not to love?”
Wijewije via Apple Podcasts ·
Sweden ·
03/28/15
“The podcast is informative, engaging and fun! Chris and Jonathon do a great job speaking at a level that anyone with a basic understanding of computer science and stats can understand without leaving out too much of the juicy technical guts.
Every episode they dive deep into data science news...”Read full review »
vcolano via ·
03/18/15
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“Such a fantastic show. There's only one place on the Internet where data science and craft brews come together as equals, and this is it. Well done, guys.”
__jerod__ via Apple Podcasts ·
United States of America ·
03/17/15
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