Reviews
“After being mutuals for years I unfortunately had to unfollow @hspter due to a tweet in which they said of someone else,
“ ‘Lost her humanity’ is far too generic & kind. Her tweets and behavior are riddled with codependent dynamics, splitting and other signs of a massive personality...”Read full review »
Perisaccadic via Apple Podcasts ·
United States of America ·
12/04/23
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“Used to enjoy but hard to listen to now that Hilary has gone full conspiracy theorist online. She has been posting the most outlandish things on Twitter that makes it hard to take her seriously”
ahall4488 via Apple Podcasts ·
United States of America ·
11/27/23
“Whether you’re well established as an innovator in the data science community, or just getting started carving out your niche - this is a must-listen podcast for you! Roger and Hilary do an incredible job leading conversations that cover a huge breadth of topics related to the ins and outs of...”Read full review »
obacker19 via Apple Podcasts ·
United States of America ·
05/17/22
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“Sometimes there are great things, but it takes a lot of digging. It’s like listening to friends who sometimes talk about data science related things, but often goes off on tangents that’s hard to follow. Definitely a different rhythm to this podcast.”
Msymns via Apple Podcasts ·
United States of America ·
12/02/21
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“Have to unsubscribe. Listening to Hilary is like gossip at sorority event. Hilary certainly has a great depth of experience...but she strikes me as condescending and snarky. Roger is a balancing and objective force.”
Java ger via Apple Podcasts ·
United States of America ·
04/04/21
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“Lots of golden nuggets in there, but boy do you have to dig. Please focus...”
Studying in Taiwan via Apple Podcasts ·
United States of America ·
12/23/20
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“I subscribed to this Podcast a few months ago looking for some insights to the data science community and topics. What I found was about 10% data science related and 90% on non-related topics. Who eats a steak that's 90% bone? I enjoy listening to Roger and Hilary but enough about social and...”Read full review »
Robert1611 via Apple Podcasts ·
United States of America ·
08/27/20
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“I like how I can be informed about happenings in data science and data analysis without having to sit down and read something. I like the non-data bits, too - maybe even more than the data parts. I want to be friends in real life with them!”
penguinprincess333 via Apple Podcasts ·
United States of America ·
12/06/19
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“So good! I am TAing sophomore stats and have considered recommending this to my students. Glad also for the imposter article ref on medium. Used it for mentoring.”
coltongrainger via Apple Podcasts ·
United States of America ·
11/07/19
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“With a very relax topic of conversation this podcast feel like casual conversation among friends where they share their life as a data science, pop culture, machine learning challenge in a great friendly dynamic between Roger and Hillary.
PS. prepare for some inside jokes between these 2”
Jose Ayerdis via Apple Podcasts ·
Nicaragua ·
06/08/19
“If the content were more focused, I could have pushed through Hillary’s use of “like” about 20 times per sentence. However, the content was rambling & thin on data science so I couldn’t make it. After listening to the first episode, I thought I would try the latest episode to see if it had...”Read full review »
L_J_H via Apple Podcasts ·
United States of America ·
05/22/19
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“The hosts are smart and mostly well informed, but they veer off into topics that are either trivial (who cares about "Hilary's Habits"?) or about which they have nothing significant to contribute (anything about life sciences or biotech). The tone is gossipy, and not in a way that is...”Read full review »
TomAmes via Apple Podcasts ·
United States of America ·
05/01/19
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“The topics look good, but I can’t listen for a long period when every third word is ‘like’ from both hosts. Sorry ... but it is annoying.”
Dren60 via Apple Podcasts ·
United States of America ·
04/26/19
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“The only data science podcast that educated me and didn’t put me to sleep. It feels like I’m sitting in on a conversation. Not sure why people are so bothered by the speakers use of filler words. This podcast is not a lecture if you’re looking for a lecture take one of Rogers classes, this...”Read full review »
Prof. Doom via Apple Podcasts ·
United States of America ·
02/17/19
“F***ing obnoxious. Episode 1 needs to be transcribed and analyzed to see just how many times they say “like.” Id be enjoying this if it weren’t for this. Get those thoughts out coherently please.”
kloqwork via Apple Podcasts ·
United States of America ·
10/20/18
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“So bummed. Took online courses from Dr. Peng and like his joyful attitude but I just cannot take all the "like, then you kind of, like, need to, like..." Some sentences contain the word "like" more than five times. I've been hunting for a good podcast on data science and the...”Read full review »
Jghekiere via Apple Podcasts ·
United States of America ·
07/05/18
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“I’ve been working my way through a MS in Data Analytics so I had been looking for additional ways to keep tabs on the industry. Tune in for practical tips on what data science is in industry and academia. Try not to mind the lack of audio finishing, intro, or outro music.”
TravelHardyLlama via Apple Podcasts ·
United States of America ·
06/23/18
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“I wanted to like this SO badly but I could get not get through the first episode! The woman says “like” average 76 times per sentence (actual data analysis). It’s like, way too, like, frustrating, like...”
2old4thislike via Apple Podcasts ·
United States of America ·
01/01/18
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“Like, like, like, like, like. Stop saying “like”, it’s impossible to listen to.”
Ride-on-time via Apple Podcasts ·
Sweden ·
11/03/17
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“Two interesting people talking about interesting things. Love listening always!”
andanderson via Apple Podcasts ·
Brazil ·
10/11/17
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“I take solace in the fact that I’m not alone in the troubles I face as a data analyst. This podcast covers many human aspects of data science and data analysis! Thank you Hillary Parker and R D Peng for such a lovely podcast”
tharle nan maga via Apple Podcasts ·
India ·
10/04/17
“There are generally about 10-15 minutes of great discussion in each episode, but the rest of it I could do without. I find the banter annoying and I agree that there are too many filler words. That's fine for informal discussions, but if Roger and Hilary listened to each ep after recording, I...”Read full review »
rhymeswithsnake via Apple Podcasts ·
United States of America ·
09/16/17
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“Seriously, it's like there's a laugh track playing. There's nothing funny being said, neither host is funny, but after every single comment they giggle as if there's some inside joke. It's so annoying and distracting. Stop laughing so much.”Read full review »
jamiedavistowing via Apple Podcasts ·
United States of America ·
08/03/17
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“Hilary and Roger discuss technical topics that may, at a glance seem too dry for a pod cast, but they always manage to keep it interesting and light hearted. I learn something new every episode. Keep up the good work!”
Klklrch1249100 via Apple Podcasts ·
United States of America ·
07/24/17
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“The contents are somewhat interesting, but they look like teenagers talking.”
LEO BSB via Apple Podcasts ·
United States of America ·
07/06/17
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“My favorite data science podcast. I always listen.”
Jake pod dog via Apple Podcasts ·
United States of America ·
06/30/17
“It's so annoying to hear the female host laughs for no reason and just keep laughing every sentence she says. I wish you could edit out all the laughs.”Read full review »
fgadfasd via Apple Podcasts ·
United States of America ·
05/26/17
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“Somehow funny, engaging, and smart...even to this non-data scientist. Keep up the good work.”
Another cup via Apple Podcasts ·
United States of America ·
05/13/17
“... listen to this. If you simply want to pass away the day with meandering discussions, this is your podcast. Yes, there is some very interesting stuff sprinkeld in, but the cost of finding the good parts is too high. If you love listening to academics whining about the real world, this is...”Read full review »
Craigmcg via Apple Podcasts ·
United States of America ·
05/10/17
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“Podcast has some potential given the content but like other reviewers, I had to stop listening and unsubscribe because of the verbal fillers. One of the hosts uses "like" excessively and it makes the podcast impossible to listen to.”Read full review »
CBizzle💪 via Apple Podcasts ·
United States of America ·
05/03/17
“I have to think Hilary is smart but why does she laugh at everything she says. Is every sentence is a joke, sarcastic maybe or is she nervous? I want to listen because I like the fun of the show but she says something smart and than laughs. I though she would listen through some of what they...”Read full review »
jeffkrop via Apple Podcasts ·
United States of America ·
04/24/17
“I came to this podcast through Peng's coursera material, but Hilary's "like"s and giggle and overall haphazard way of speaking really distracts from her insights and contributions. Please please please fix this by using fewer verbal fillers and having more concrete sentences and...”Read full review »
Bamashay via Apple Podcasts ·
United States of America ·
01/13/17
“The podcast doens't go deeply into topics. It's more like lisetning in to a couple of friends chatting over coffee but there's some really good stuff, some interesting stuff and some less interesting (like US politics which the rest of the world are just dismayed by).”
peter.robinson via Apple Podcasts ·
Australia ·
12/21/16
“Great podcast! Fascinating discussions on stats, data and various related topics. A helpful intro for someone new to the field. The blend of the industry and academic perspective works well. Keep up the good work!”
Evan Cortens via Apple Podcasts ·
United States of America ·
12/11/16
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“I always want to try and like this podcast, but it's way too rambly. You rarely seem to stay on topic like more professional podcasts. It's also very clique-y and filled name dropping. Do I know who David Robinson is? Sure, but that's because I travel as the same twitter circles...”Read full review »
EZ__E via Apple Podcasts ·
United States of America ·
10/31/16
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“Lively banter. Good stuff from a couple pros. Not as much profanity as "My Favorite Murder." Linked to #RCatLadies”Read full review »
Ww44ss via Apple Podcasts ·
United States of America ·
10/21/16
“I've loved this podcast since the beginning for it's sense of fun and whimsy in the deep world of data science. It makes some really fundamental concepts accessible and provides a lot of food for thought. Heck, I enjoy it so much I give my students extra credit if they talk about it in...”Read full review »
Sebastospud via Apple Podcasts ·
United States of America ·
10/18/16
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“Hilary and Roger operate my favorite 4.5 star data science podcast. And it's not even close!”Read full review »
iphonemikemike via Apple Podcasts ·
United States of America ·
10/15/16
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“Easy and helpful to listen to for someone just starting in data science. Roger and Hilary and delightful to listen to!”
HammersteinJ via Apple Podcasts ·
Australia ·
10/06/16
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“A great, informal podcast to talk through the crazy world of statistics, data, R and cat ladies. Hilary and Roger are great hosts, with both bringing a lot of knowledge and experience (covering academia and industry) while keeping it light-hearted and fun to listen to. Highly recommended.”
rectaljukebox via Apple Podcasts ·
Great Britain ·
08/27/16
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“Hilary and Roger are a great duo and help me feel more sane when I end up with data analysis paralysis.”
Pedramnavid via Apple Podcasts ·
Canada ·
08/12/16
“I almost always learn something new about R and statistics, and also data analysis”
chelonia.mydas via Apple Podcasts ·
Canada ·
07/09/16
“I enjoyed the back and forth in episode nine on the problems with spreadsheet based analysis and the very real reasons their not going anywhere anytime soon.”
Larkin O via Apple Podcasts ·
United States of America ·
07/08/16
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“Love the podcast. Thanks for all you put into it!”
jboichuk via Apple Podcasts ·
United States of America ·
06/13/16
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“Layed-back discussions that revolve around statistics and R. A great way to keep up with what is going on in the field and how two professionals from different backgrounds approach statistical problems.”
eskonen via Apple Podcasts ·
Finland ·
06/12/16
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“I just re-listened to your guy's first episode. It was so good! You guys were really on that day lol. Keep up the conversation and don't ever go away!”Read full review »
GasKidakaWolfeKid via Apple Podcasts ·
United States of America ·
06/03/16
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“I really appreciate having a podcast on data science. The host are mostly very knowledgable and topics are of great interest. However, I agree with a number of reviewers. One host uses "yeah" way too much. Listening to episode 16 on my 15 minute commute I counted 39 "yeahs". A...”Read full review »
Kiefer89 via Apple Podcasts ·
United States of America ·
06/03/16
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