Not So Standard Deviations

Not So Standard Deviations

By Roger Peng and Hilary ParkerNewsTechnologyTech News
Download on the App Store

Not So Standard Deviations episodes

  • 80 - We Have the Fix for Science

    Hilary and Roger announce a NEW BOOK CLUB, discuss the rise of causal inference, the new version of RStudio, and different ways to model the data analysis process.

    Show notes:

    Getting to Yes

    The Hidden Air Pollution in Our Homes

    Support us through our Patreon page

    Roger on Twitter: https://twitter.com/rdpeng

    Hilary on Twitter: https://twitter.com/hspter

    Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

    Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

    Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

    Find past episodes: http://nssdeviations.com

    Contact us at [email protected]

    52 min
  • 79 - Things Never Get Dirty If You're Always Cleaning

    Hilary and Roger discuss the Women in Analytics Conference, GDPR, and Soji for Data. Also a new #hilaryshabits!

    Show notes:

    Support us through our Patreon page

    Roger on Twitter: https://twitter.com/rdpeng

    Hilary on Twitter: https://twitter.com/hspter

    Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

    Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

    Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

    Find past episodes: http://nssdeviations.com

    Contact us at [email protected]

    55 min
  • 78 - A Sheep in Every Kitchen

    Hilary and Roger provide updates about coffee and oat milk, talk about the unbundling of the data scientist job, R style guides, quantifying the performance of music services, and KPI design. And the return of #hilaryshabits!

    Show notes:

    Google R Style Guide

    Henrik Bengtsson's style guide

    Tidyverse style guide

    Radical Change is Coming to Data Science Jobs

    Support us through our Patreon page

    Roger on Twitter: https://twitter.com/rdpeng

    Hilary on Twitter: https://twitter.com/hspter

    Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

    Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

    Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

    Find past episodes: http://nssdeviations.com

    Contact us at [email protected]

    1 hr 4 min
  • 77 - Back to Statistics

    Hilary and Roger discuss the significance of statistical significance, the elements and principles of data analysis, and how to enforce ethical data science practice.

    Show notes:

    Scientists rise up against statistical significance

    Elements and Principles of Data Analysis

    Support us through our Patreon page

    Roger on Twitter: https://twitter.com/rdpeng

    Hilary on Twitter: https://twitter.com/hspter

    Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

    Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

    Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

    Find past episodes: http://nssdeviations.com

    Contact us at [email protected]

    1 hr 4 min
  • 76 - Barely a Data Scientist

    Hilary and Roger discuss the other jobs of the data scientist, using notebooks, Getting Things Done (on paper), keeping packages on CRAN, and the Women in Data Science Conference.

    Show notes:

    Women in Data Science Conference

    Hilary's New Yorker-style cartoon

    R 1.0.0 CD at University of Auckland

    Support us through our Patreon page

    Roger on Twitter: https://twitter.com/rdpeng

    Hilary on Twitter: https://twitter.com/hspter

    Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

    Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

    Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

    Find past episodes: http://nssdeviations.com

    Contact us at [email protected]

     

    1 hr 1 min
  • 75 - Data Science Lite

    Hilary and Roger talk about maintaining old R packages, how Hilary manages her time, and the general state of open source software.

    Show notes:

    Support us through our Patreon page

    Roger on Twitter: https://twitter.com/rdpeng

    Hilary on Twitter: https://twitter.com/hspter

    Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

    Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

    Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

    Find past episodes: http://nssdeviations.com

    Contact us at [email protected]

    1 hr 18 min
  • 74 - I Draw the Line at Fans

    Hilary and Roger discuss Roger's foray into cloud computing and how they determine whether they can trust an algorithm or R package. Also, a bonus discussion of the state of data science as a field.

    Show notes:

    Maelle Salmon's blog post

    Box and Whiskers

    Support us through our Patreon page

    Roger on Twitter: https://twitter.com/rdpeng

    Hilary on Twitter: https://twitter.com/hspter

    Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

    Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

    Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

    Find past episodes: http://nssdeviations.com

    Contact us at [email protected]

    1 hr 6 min
  • 73 - Time Tracking Fiasco

    Hilary and Roger discuss this year's RStudio Conference and the perils of collecting data without first thinking about it. Also, the return of free advertising.

    Show notes:

    Support us through our Patreon page

    Roger on Twitter: https://twitter.com/rdpeng

    Hilary on Twitter: https://twitter.com/hspter

    Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

    Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

    Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

    Find past episodes: http://nssdeviations.com

    Contact us at [email protected]

    1 hr 12 min
  • 72 - Cat Shenanigans

    Happy 2019 to all of our listeners! Hilary and Roger follow up on the data science design challenge, talk about the future package for R, and do another #hilaryshabits.

    Show notes:

    Roger’s protocol study: simplystatistics.org/2019/01/09/how-data-scientists-think-a-mini-case-study/

    Support us through our Patreon page

    Roger on Twitter

    Hilary on Twitter

    Get the Not So Standard Deviations book: leanpub.com/conversationsondatascience/

    Subscribe to the podcast on Apple Podcasts: itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

    Subscribe to the podcast on Google Play: play.google.com/music/listen

    Find past episodes: nssdeviations.com

    Contact us at [email protected]

    57 min
  • 71 - Compromised Shoe Situation

    Hilary and Roger discuss their first data science design challenge on getting to work on time, and Roger talks his own about biased training data. 

    Show notes: 

    Support us through our Patreon page

    Roger on Twitter: https://twitter.com/rdpeng

    Hilary on Twitter: https://twitter.com/hspter

    Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

    Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570

    Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna

    Find past episodes: http://nssdeviations.com

    Contact us at [email protected]

    1 hr 5 min

About Not So Standard Deviations

From the publisher's feed

Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry.

More shows like Not So Standard Deviations

Freakonomics Radio by Freakonomics Radio + Stitcher

Freakonomics Radio

32,053 Listeners

Planet Money by NPR

Planet Money

30,689 Listeners

More or Less by BBC Radio 4

More or Less

873 Listeners

The Changelog: Software Development, Open Source by Changelog Media

The Changelog: Software Development, Open Source

286 Listeners

Data Skeptic by Kyle Polich

Data Skeptic

476 Listeners

Talk Python To Me by Michael Kennedy

Talk Python To Me

582 Listeners

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) by Sam Charrington

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

437 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

305 Listeners

Machine Learning Guide by OCDevel

Machine Learning Guide

774 Listeners

DataFramed by DataCamp

DataFramed

265 Listeners

Practical AI by Daniel Whitenack and Chris Benson

Practical AI

202 Listeners

Google DeepMind: The Podcast by Hannah Fry

Google DeepMind: The Podcast

204 Listeners

Deep Questions with Cal Newport by Cal Newport

Deep Questions with Cal Newport

1,340 Listeners

Hard Fork by The New York Times

Hard Fork

5,561 Listeners

The Joy of Why by Steven Strogatz, Janna Levin and Quanta Magazine

The Joy of Why

521 Listeners