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Naked Data Science

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

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Top 10 Naked Data Science Episodes

Goodpods has curated a list of the 10 best Naked Data Science episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Naked Data Science for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Naked Data Science episode by adding your comments to the episode page.

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?

In this episode, we talk about why the separation between these two roles is ambiguous at best, why many people have switched between these roles, how we speculate the roles to evolve in the future, and some tips on how you can plan your career based on what we discussed.

Meanwhile, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

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Naked Data Science - 5 - Black box Thinking

5 - Black box Thinking

Naked Data Science

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03/22/20 • 22 min

How to apply it to find common language between business and data science people, how to avoid the pitfall of shiny solutions, translating complex business needs to tangible requirements, and making your work more meaningful.
BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

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Naked Data Science - 30 - The One When Queries Beat Machine Learning
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01/31/21 • 14 min

Can you solve a data-intensive business problem with just queries? If so, what is the difference between data science and, say, data analytics?
These are not just theoretical questions. The answers have a practical and significant impact on your daily work and well-being. In this episode, we will share a couple of mental models we use to think about these topics. Enjoy.
BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

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Naked Data Science - 28 - Solve data science problems like a detective
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12/27/20 • 12 min

Data science is deeply rooted in scientific research and scientific thinking. However, applying data science is more like doing detective work, especially if you work in businesses. In this episode, we will talk about the huge difference it makes when you solve data science problems like a detective, and why you shouldn't just report common machine learning metrics.
BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

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Naked Data Science - 32 - So you want to become a data scientist at FAANG
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03/23/21 • 22 min

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 be the best career goal for you.

In this rebroadcast episode, we will talk about the number one pitfall for highly specialized roles in those companies, some hidden reason why they publish a lot of papers, and why you shouldn't just blindly copy how they do data science.

Meanwhile, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

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Naked Data Science - 31 - The Big Bang theory of data science (rebroadcast)
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02/14/21 • 17 min

Having a Big Bang is one of the most common causes of data science project failures. And you probably have done it, at least a couple of times. In this episode, we will show you why it is often better to aim for sub-optimal solutions at the start of a project, and how you can avoid the Big Bang problem by following an ancient Japanese philosophy.

By the way, we are rebroadcasting this episode because it is one of our favourite early episodes. And the content can be very valuable to our new listeners.

Meanwhile, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

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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

Seriously though, we have seen many data scientists who don't want to hear or learn about politics. And as result, they often hit invisible walls in their careers and become very frustrated. That's why we are sharing some mental models we use to think about and deal with politics so that you won't go down that path.

Meanwhile, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

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Naked Data Science - 29 - Forget that you are doing data science
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01/10/21 • 10 min

One of the reasons why we love data science so much is because of the amazing methods, techniques, and technologies we can use to solve different problems. However, if you only focus on these technical tools, you will fall into the biggest trap in doing data science. In this episode, we will show you why that is the case, and when you should forget that you are doing data science.

BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

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Naked Data Science - 16 - There will be errors

16 - There will be errors

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07/19/20 • 27 min

The three types of errors in data science and how to deal with them. Why intelligent people make mistakes. How not to surprise yourself by errors you knew. The art of not making errors personal. The importance of thinking and talking trade-offs instead of errors.
BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

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What can you do about about the ethics of AI, Machine Learning, and other data science solutions in your daily work. Why it is important to think about implications first, not technologies. The four principles we use to address ethical challenges. Some practical ethic codes for data scientists.
BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

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FAQ

How many episodes does Naked Data Science have?

Naked Data Science currently has 35 episodes available.

What topics does Naked Data Science cover?

The podcast is about Podcasts, Technology, Artificial Intelligence, Data Science and Machine Learning.

What is the most popular episode on Naked Data Science?

The episode title '33 - Data scientist vs machine learning engineer - what you need to know' is the most popular.

What is the average episode length on Naked Data Science?

The average episode length on Naked Data Science is 24 minutes.

How often are episodes of Naked Data Science released?

Episodes of Naked Data Science are typically released every 14 days.

When was the first episode of Naked Data Science?

The first episode of Naked Data Science was released on Feb 16, 2020.

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