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Naked Data Science

Naked Data Science

The #1 podcast on applied data science. No fluff. Check out more mental models, practical tips, and inspirations that help you become great data scientists at http://nds.show

PublishesWeeklyEpisodes35Founded4 years ago
Category
Technology

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Artwork for Naked Data Science

Latest Episodes

We are trying out a different format in this episode. Nima gave me a topic, which is Central Limit Theorem. I spent an hour learning about it. And then we have a little chat. You will hear why we are doing this in the episode. more

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2 years ago

This is the episode where we are going to risk our career, our wellbeing, and all the professional reputations we have built over the years to talk about this ultra-sensitive taboo topic: office politics in data science more

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3 years ago

When we talk to people who want to transition into data science, we hear this question popping up more and more: what is the difference between a data scientist and a machine learning engineer, and which one should I choose? more

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3 years ago

If you are a data scientist, or someone who wants to become a data scientist,  chances are that you dream about joining a leading tech company, like Google, Facebook, and Amazon.  However, depending on your situation and personality, that might not b... more

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3 years ago

Insights

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Find out how many people listen to Naked Data Science and see how many downloads it gets.

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Reviews

4.8 out of 5 stars from 25 ratings
  • You, Nima & Haw are the most to the point people I’ve ever seen.

    Thank you so much

    Apple Podcasts
    5
    Rayhan Rahbaran
    United States2 years ago

Chart Rankings

Apple Podcasts
#217 United States/Technology
Apple Podcasts
#100 South Africa/Technology

Audience

Listeners, engagement and demographics and more for this podcast.

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Frequently Asked Questions About Naked Data Science

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How many episodes of Naked Data Science are there?

Naked Data Science launched 4 years ago and published 35 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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