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Not So Standard Deviations

By NSSD Podcast

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Description

Not So Standard Deviations: The Data Science Podcast Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry. Co-hosts: Roger Peng of the Johns Hopkins Bloomberg School of Public Health and Hilary Parker of Stitch Fix.

Customer Reviews

Loved material! Please stop saying "like" so much

The content in this podcast is interesting and I really really want to learn more and keep listening!

BUT

Hilary says "like" far too excessively. So I noticed Roger saying it as well. I couldn't finish the episode as a result.
Discourse markers such as "so", "right", "well", "anyway" and "like" certainly have their place in our normal conversation. However, using them excessively to fill gaps while you process what to say next is unacceptable for listeners of a podcast.

Best tip for the future?
Slow down.
You guys are intelligent and you have really interesting stuff to say that we all want to hear.

Thanks for taking my suggestions into consideration!

I wanted so bad to like this!

Yeah, so I like really wanted to like this cuz I have Peng's book and I have like taken his course and yeah it'S like too bad this is so like unlistenable.

For such educated people you say "Like" waaaaayyyy too much. It's intolerable. Don't you listen to yourselves?

Also, Sorry but the woman's voice is not radio friendly. Above average attempt for amateur podcast in data science, but the first time I've been unable to stand the speech to such an extent I've had to turn it off. I had to write this negative review in hopes the hosts will edit themselves better, and like talk like Ph.D.s. like should.
Like.

I'm having Hilary withdraws, need another episode

I really appreciate your guys banter. Thought I needed to give Hilary some love because there are a couple of mean reviews on her. Be compassionate people, she's a data scientist not an entertainer.

Not So Standard Deviations
View in iTunes
  • Free
  • Category: Podcasting
  • Language: English

Customer Ratings