Naked Data Science
Naked Data Science
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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.
33 - Data scientist vs machine learning engineer - what you need to know
Naked Data Science
07/02/21 • 23 min
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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15 - Three timeless data roles - Interview with Wilco van Duinkerken
Naked Data Science
07/12/20 • 29 min
How data-intensive technologies have changed in the past five years, the best way for data scientists to stay on top of technologies, and the three timeless data roles.
This episode is a guest interview with Wilco. Wilco has 20 years of experience in building tech, product teams, and big data architectures. He is the Chief Technology & Product Officer at ScaleForce, previously head of software engineering, head of product, and lead of innovation lab at trivago, as well as CTO and founder of venture-backed start-ups and scale-ups.
Access 40 years of combined SaaS experience at: https://www.scaleforce.services/
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.
34 - What you need to know about politics as a data scientist
Naked Data Science
07/28/21 • 27 min
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.
8 - Baseline Thinking
Naked Data Science
04/13/20 • 26 min
How to evaluate new versus baseline when you already have an existing solution, how to use tracer bullets when there is no existing solution, and how to build accurate intuitions on both data science and business sides.
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.
Central Limit Theorem in Plain English
Naked Data Science
06/20/22 • 38 min
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.
And if you like this format, please send us an email at hello [at] nds.show . That helps us decide if we are going to make more episodes like this in the future.
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.
7 - Data scientist maturity model - Audience question
Naked Data Science
04/06/20 • 19 min
Why it is important to avoid simplistic labels of maturity, how to measure competencies, the two natural ways to give feedback to data scientists, and the four key factors for creating development opportunities for your team.
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.
10 - Puzzle Mapping
Naked Data Science
05/03/20 • 23 min
How to use the Puzzle Mapping technique to lead project kickoff meetings effectively, so that you can come up with concrete and feasible plans that everyone is happy about.
You can download an example Puzzle Map here. It is much easier to understand this technique when you see the example.
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.
19 - How to fast-track your domain knowledge
Naked Data Science
08/09/20 • 35 min
How domain knowledge can supercharge your data science work. The half-life of truth at three levels of business domain knowledge. Why it is important to follow the money in data science work. Three ways to acquire new domain knowledge fast.
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.
32 - So you want to become a data scientist at FAANG
Naked Data Science
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.
22 - Practical ethics of AI, machine learning, and data science
Naked Data Science
09/06/20 • 29 min
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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