6 Best Podcasts On Big Data To Check Out

Podcasts are one of the best ways to learn about big data, as you can listen and absorb knowledge whether you’re on the move, doing the dishes, or just relaxing at home. If you want to know more about big data, then here are some of the best podcasts you’ll want to be listening to right now (Headlines of all entries are linked to each mentioned podcast!)

1. Freakonomics

 You may well know about the book Freakonomics by Stephen Dubner. In it, he uncovered the world of data science for the average reader, and showed them just how it affected their everyday lives. In this podcast, he carries on the work he started in the book to help you understand the world of big data.

There are several episodes that you’ll want to make sure you listen to, such as The Health of Nations, which looks at how health is measured across the world. Everybody Gossips is another good episode, as it covers how our Google search histories expose our true selves to those who are evaluating that data.

2. Data Framed

This podcast is a must listen if you’re looking to learn more about big data. Trends are changing all the time in this field, so you want to make sure you’re on top of the game. “Each episode brings on an expert in their field, so you can learn from the best” says tech writer Adrian Bowman, from Boom Essays and OXEssays. “You’ll get a real insight into how they use data, and what that means for you.”

Recent episodes have covered things like Salesforce was created to be a mature data organization, and how to build a data science team from scratch. They’re all fascinating to listen to, so you’ll want to make sure that you tune in.

3. Data Skeptic

 With so many episodes in the archive, you can go back and listen to this show for days on end. Every episode covers a different concept in data science, so it’s really helpful to anyone that’s learning about it for the first time. Even if you’re an expert though, you’ll find some new perspectives in here.

You don’t have to start at the beginning to listen, though. Instead, you can catch up with the latest episodes that cover everything new in data. For example, they’ve recently released episodes on the user perceptions of ‘bad ads’ online, and political digital advertising analysis.

4. Data Crunch

This podcast is very much aimed at people who are already working with big data in some way. As such, it won’t be as accessible to newcomers to the field. However, if you are someone in the field then you’ll want to subscribe to this show.

You’ll find lots of episodes on how machine learning is changing industries across the board, as well as some showing where it hasn’t been the success that companies were looking for. You’ll see a lot about what works and what doesn’t here, so you can see what will make your business thrive in the future.

5. Not So Standard Deviations

 On the other hand, this is the podcast you’ll want to be listening to, if you’re new to data science and want to learn more. “The chemistry between the hosts makes it a very easy listen” says Dean Simmons, a big data blogger at State Of Writing and Paper Fellows. “That makes it a lot more accessible for those who are beginning to learn about the subject.”

You’ll get all the basics on things like social media algorithms, deprecated packages, app testing, and much more here. You’ll learn a lot and enjoy listening, too.

6. Making Data Simple

 Finally we have this podcast, which looks at bringing you the very latest news in big data, in a way that’s easy to understand. It’s another show that’s worth listening to if you’re already working in data, as it looks at the news from the viewpoint of those in industries where data is vital.

Host Al Martin talks to experts every episode, so you’ll be able to get the news from the people who know about it, and see how it will affect you.

All these shows can give you a lot of info about big data, so give them a listen and see which one is right for you.

Madeline Miller is a writer at Academic Writing Service and UK Writings, where she specialises in big data. She's also a writer for Essay Service.

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