Best Data Science Podcasts to Level up Your Coding Skills

There should be a variety of data science podcasts available as the advent of data and analytics and the podcast boom nearly coincided. Simultaneously, the scene has changed somewhat in the last few years due to the arrival of brilliant fresh talent and the retirement of several longtime favourites. Let us look at the Best Data Science Podcasts of the year 2024. Are you too exhausted to code but yet want to learn more about data science? When you need to take a break from learning, podcasts are an excellent resource. Check out these podcasts to get ideas for your work, learn about trends in the business, and get inspired by real-life experiences.

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Best Data Science Podcasts: Introduction

An excellent podcast about data science should educate, amuse, and introduce you to fresh concepts in the field. A few of the resources available include articles about AI ethics, advice on landing a data science career, how data is revolutionizing every industry, including healthcare and finance, and the most recent concepts from data leaders. It might be difficult to decide which data science podcast to start with. There is no need to worry. We have picked the top best data science podcasts and listed them in this article for your convenience.

You will learn more about data science from these monologues and conversations than you did before you pushed the “play” button. The podcasts range from ones that cover a wide variety of data science talking points to ones that concentrate on subjects like visualization or how to have a career in data science.

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What are Podcasts?

A podcast is an on-demand digital audio file that may be streamed or downloaded. Whether you use an iPhone, an Android device, a Mac or Windows PC, or a podcast app like Spotify or Apple Podcasts, you can listen to podcasts on these platforms.

While most podcasts are audio-only, some producers also record video segments for their shows to be shared on other social media sites. This explains why YouTube allows you to view video podcasts.

Each episode covers a broad subject. Episodes will address various facets of the podcast subject in their respective runs of the show. Podcasts are available in nearly every business and speciality you can imagine since podcasting has gained popularity.

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Experts from the field and seasoned instructors created this extensive course, which offers practical exercises and projects that let students apply what they’ve learned to actual situations. After finishing, students will have a firm grasp of the abilities and knowledge required to develop and implement machine-learning models for a range of applications. Some of the benefits of this course are certification, placement assistance, live sessions, industry networking assistance etc.

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Top Best Data Science Podcasts

Podcasts are an excellent method to study while on the move, discover more about the industry, and hear from professionals in the sector. Data science podcasts are an essential addition to any digital library, regardless of your level of experience with data or just your general interest in the subject. That being said, which data podcasts are worth listening to and investing our time in? Top Best Data Science Podcasts are listed below after doing much research. Refer to that list and choose the one that suits your needs the most.

Data Skeptic

Data Skeptic is one of the most well-known data science podcasts. This weekly program delves into subjects related to artificial intelligence, machine learning, statistics, and data science. With almost 200 episodes available for viewers to enjoy, the program, which is hosted by Kyle Polich, is still going strong. The show has recently launched an ongoing series of themed episodes that centre on a more general data science issue, such as disinformation.

The episodes vary between minisodes that describe advanced data science ideas and interviews with specialists in the field. Co-hosting the minisodes with Kyle is Linh Da Tran, who discusses data science subjects with him such as k-means clustering and natural language processing. The presenters’ discussion of the subject helps listeners grasp it better.

Data Science Imposters

Regretfully, the Data Science Imposters podcast, which debuted in 2017, is no longer releasing episodes as of 2021. Data Science Imposters, hosted by tech all-arounder Antonio Borges, who has expertise in software engineering, data analytics, and business analysis, and project manager Jordy Estevez, an engineer, covers a wide range of topics related to data science, analytics, big data, and machine learning.

Linear Digressions

Linear Digressions, hosted by Katie Malone and Ben Jaffe, is a weekly podcast that delves into recent advancements in data science, machine learning, and AI. Because of their close friendship, the hosts make every episode incredibly comprehensible and approachable.

There are currently more than 100 episodes available for listeners to explore. Because each episode lasts about 30 minutes or less, it’s easy to quickly grasp the subject matter. Ben and Katie do an excellent job of simplifying a difficult technical subject to its essentials. They demystify autoencoders, neural networks, the Fourier transform, and more in a matter of minutes.

Women in Data Science

Since there aren’t many women working in data science, it’s critical to elevate their voices, recognize their contributions to the industry, and showcase them as role models for the next generations.

Leading women in data science discuss their work, career guidance, and life lessons on the Women in Data Science podcast, which is hosted by Stanford University’s Professor Margaret Gerritsen. Anyone interested in learning how data science is being used in and changing a variety of fields, including healthcare, finance, cosmology, human rights, and more, should listen to this.

Talking Machines

Maintaining public discourse on data science, artificial intelligence, and machine learning is crucial, according to former public radio presenter Katherine Gorman, to avoid another AI winter. Podcasts on data science, in her opinion, are an excellent forum for that conversation. She and Professor Neil Lawrence co-host Talking Machines to achieve this. The podcast is to educate a broad audience on machine learning and to aid in the understanding of these tools and technology by company executives, industry experts, and curious non-specialists

Generally speaking, the programs have a straightforward structure. First, the hosts discuss news in the business, interview a guest, and then maybe address a question from the audience. Episodes are published in seasons and are typically 40 minutes long. Here’s where Katherine’s background as a radio hostess comes in handy. She makes sure the show is factually correct while maintaining an entertaining and educational tone.

Naked Data Science

The Naked Data Science podcast has a ton of helpful career advice for anybody interested in or currently employed in the field of data analysis or science. The NDS podcast provides you with useful tools and advice to help you further your career while exploring the abilities required to tackle real-world data challenges through brief, easy-to-listen episodes. A must-listen for anybody hoping to pursue a career in the area, it addresses issues like “Am I doing real data science work?” and covers themes including job seeking, communication, and becoming a team lead.

O’Reilly Data Show

Ben Lorica works for O’Reilly Media as the Chief Data Scientist. Every episode, a professional from the business joins him to talk about big data and data science-related subjects. The episodes are quite easy to listen to and last between thirty and forty minutes.

The host introduces each episode by highlighting an upcoming event series that will provide listeners with further information about the subjects discussed in the podcast. More O’Reilly conferences are included on their event website, but the ones that were highlighted in the introduction are the Strata Data Conference and the Artificial Intelligence Conference.

Digital Analytics Power Hour

The tone of Digital Analytics Power Hour is fun and informal, despite the content being quite weighty and technical at times. The podcast, which is hosted by three friends and analysts, Michael Helbling, Tim Wilson, and Moe Kiss, is based on “the lively and interesting conversations that usually take place in the lobby bars at analytics conferences.” This is another really broad program that covers themes including creating a positive data culture, making statistics approachable, and getting your ideal career in data.

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Not So Standard Deviations

Hilary Parker from Stitch Fix and Roger Peng from the Johns Hopkins Bloomberg School of Public Health co-host this episode. They talk about their individual experiences dealing with data as well as news from the business.

Episodes can run on the longer side and air twice or three times a month. While some episodes last almost an hour and a half, the majority are at least sixty minutes long. You can truly dive into the conversation with them, especially if you have a lengthy commute or spend an evening at home doing chores!

Data Crunch

Are you interested in finding out more about how developments in data science, AI, machine learning, and deep learning are improving our lives? If so, you should subscribe to the Data Crunch podcast. The Data Crunch podcast features conversations with a range of data specialists and entrepreneurs regarding their experiences utilizing new technology, spread across a few very short episodes.

Even though this show covers some quite complex issues, it has the excellent quality of being approachable to a broad audience. It also covers a wide range of topics, including social media, machine learning, drones, artificial intelligence, public health, and data. If you have a strong interest in all things tech and data, this is a must-listen.

Data Stories

Among data science podcasts, this one on data visualization is a unique treasure since it concentrates on a very particular piece of the data analyzing pipeline. Every other week, data visualization experts Moritz Stefaner and Enrico Bertini have a conversation with a guest about data analysis and visualization.

The tone of the show is conversational. The hosts keep the conversation going by asking insightful questions of their guests and exchanging ideas with one another. With a duration of roughly 40 minutes, listeners may fully immerse themselves in learning about the significance that data plays in our daily lives and how we can display our data more effectively.

Storytelling With Data

Storytelling With Data is a podcast that delves into the intriguing realm of data visualization and is perfect for anyone who is employed in the data sector or aspires to work there and needs to master the technique of visualization. With the assistance of knowledgeable guests, Cole Nussbaumer Knaflic, bestselling author, lecturer, and workshop master, walks you through almost every data visualization topic you can think of in Storytelling With Data. This informative podcast is easy to include in your daily schedule, with episodes seldom lasting longer than an hour.

SuperDataScience

Kirill Eremenko is a lifestyle entrepreneur and data science coach who contributes his influencer experience to the SuperDataScience podcast. He interviews data scientists and analysts to find out more about their professional journeys and strategies for success in the data sector.

Apart from speaking with professionals in the field, the presenter often shows motivational minisodes! These minisodes, dubbed Five Minute Friday, are designed to encourage viewers to become better data scientists and to provide guidance on how to develop a career in the field. Without a doubt, this is one of the most inspiring data science podcasts available!

The Data Exchange

The Data Exchange, hosted by former O’Reilly Media Chief Data Scientist Ben Lorica, is an informal, thought-provoking series of talks featuring experts, practitioners, and researchers in the disciplines of technology, data science, and artificial intelligence. It’s one of the more recent entries in the data podcast scene, having debuted in 2019. It may not be as beginner-friendly as some of the other podcasts on our list because it’s one of the more technical ones available. Nevertheless, if you want to study more about advanced subjects like deep learning and natural language processing and stay up to date with industry developments, this is a great resource.

Data Science at Home

Francesco Gadaleta aims to simplify machine learning for all users. He alternates between solo episodes in which he explores a topic on his own and interviews episodes with professionals in the field on this podcast.

Although the duration of the episodes fluctuates and the program doesn’t appear to have a set schedule, his solo episodes often last twenty minutes, while the interview episodes typically go closer to an hour. Because the host has strong opinions, it might be fascinating to hear his take on issues like optimization, AI winter, and the necessary qualifications for becoming a data scientist.

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DataXpresso

Hosted by Exasol technology advocates Eva Murray and Helena Schwenk, DataXpresso is another recent addition to the scene. The dynamic pair provides new perspectives and anecdotes from the data world every Tuesday. Thus far, they have discussed things like how women leaders in data-driven businesses can change the non-profit industry and how data may help us rebuild our ecosystem.

If you’re looking for something quick and easy to watch, this is a fantastic choice because episodes often last around 30 minutes. The DataXpresso podcast is particularly informative if you’re curious about how data affects the environment.

This Week in Machine Learning & Artificial Intelligence 

Every week, the podcast TWiML&AI explores the most recent advancements in artificial intelligence, machine learning, and data science. To educate the expanding community of academics, engineers, business executives, and other machine learning and artificial intelligence enthusiasts, presenter Sam Charrington speaks with top researchers and industry professionals.

The program can be very technical at times and appeals to a very specific audience. To get the most out of each episode, listeners who are not specialists in the business might need to review some background information. You may listen to more than two hundred one-hour programs. You may start with the most current episode of the podcast because it covers recent advancements in this field of technology, or you can go through the archives to catch up on some earlier developments related to AI and machine learning.

Datacast

Anybody thinking about a career in data should listen to Datacast, which is hosted by data scientist and machine learning advocate James Le. Professionals discuss their professional paths, including how they transitioned from professions like academics, linguistics, and biology to the data sector. As soon as possible, listen to Datacast if you need some motivation or confirmation that you can succeed in the data industry.

Lex Fridman Podcast

Once known as “The AI Podcast,” this podcast now offers a broader perspective on data science and how it fits into the larger context of philosophy, history, health, and technology. However, it is no longer only about data science. Prominent personalities from a variety of businesses, like Saagar Enjeti, a political journalist, and Elon Musk, the CEO of Tesla, are interviewed by Lex Fridman.

DataFramed

Hugo Bowne-Anderson, a data scientist, writer, and educator, is the host of this DataCamp-sponsored podcast. Every week, the host has a conversation on the global effect of the data science sector with professionals from the industry and academic specialists. The host poses insightful questions and welcomes visitors who want to talk about both their initiatives and fascinating advancements in the industry.

Throughout the episodes, DataFramed also includes brief parts that provide the listener with further information on particular subjects. Hugo and Susan Sun, for example, discuss how to work as an independent contractor in the data science field of Freelance Data Science. In Data Science Best Practices, Justin Boyce offers helpful suggestions for enhancing workflow.

It may feel a little sales-like at times because DataCamp is the sponsor and they are always pitching their goods. Nevertheless, Hugo does a fantastic job of engaging the audience, and the program is fascinating and educational.

Data Futurology

This podcast is hosted by data science executive Felipe Flores, who conducts conversations with some of the top data practitioners around. Even though the show’s focus is on the leadership side of artificial intelligence (AI), the material frequently offers helpful tips on how to get started in the vast field of data and succeed in it.

Learning Machines 101

Learning Machines 101 is hosted by Dr. Richard Golden, an electrical engineering and cognitive science professor. The podcast’s goal is to educate a broad audience on cutting edge AI and machine learning techniques. However, the episodes may get rather complex, covering subjects like spectrum clustering, expectation-maximization, and knowledge representation.

To fully understand the subject at hand, listeners may need to hear it more than once. Since the episodes are just a half-hour long and aren’t released very frequently, this shouldn’t be too difficult. (Since April 2014, only 74 episodes have been released.) This podcast can serve as a starting point for listeners to explore more complex machine-learning subjects.

The Artists of Data Science

This program is dedicated solely to data scientists’ personal growth. Every episode is jam-packed with guidance on updating knowledge, growing professionally, and upholding sound data ethics. Each episode consists of two segments: an interview segment and a “happy hour” segment where viewers can ask questions on anything regarding data science.

Artificial Intelligence in Industry

The practical uses of AI in corporate environments are the main topic of this weekly podcast. The episodes are concise, perceptive, and simple to follow. Dan Faggella, the host, speaks with experts in artificial intelligence (AI) for thirty minutes, showcasing the technology’s applications in a range of sectors, including government, retail, and education.

In their conversation, Dan and his guests address topics including “When should you upgrade your AI hardware?” and “How can you use AI to hire employees?” They spend just enough time on each subject to grab the listener’s attention and motivate them to learn more about it later on.

Gradient Dissent

This podcast on machine learning provides an inside look at how executives from many sectors are applying deep learning and machine learning models to tackle practical issues. Wojciech Zaremba, co-founder of OpenAI, Sean Taylor, data scientist at Lyft, and Chris Mattmann, chief technology and innovation officer at NASA Jet Propulsion Laboratory, have all appeared on the podcast as guests.

Partially Derivative

This is one of the greatest data science podcasts if you enjoy going to the bar and talking with other data scientists about business news! Chris Albon, Vidya Spandana, and Jonathan Morgan get together to have a few beers and talk about the newest developments in data science.

Though they usually last between thirty and forty minutes, the episodes can last anywhere from twenty minutes to an hour. The program is no longer in production, although there are more than 100 episodes available in the archive. In addition to reviewing some of last year’s top news items, listeners may explore the backlog to learn about bias models, pair programming in Python, and data scraping.

In Machines We Trust

This podcast, which looked at how AI is affecting our daily lives, marketed itself as “a podcast about the automation of everything” when it was in operation. Listeners were led through conversations by Jennifer Strong of the MIT Technology Review regarding how we entrust technology with some of our most delicate choices. While episodes of this podcast are still available for download, Jennifer Strong has since launched a new podcast named SHIFT.

Machine Learning Guide / Machine Learning Applied

Tyler Renelli is the host of these data science podcasts, and he takes a somewhat different approach when discussing AI and machine learning. With a focus on teaching topics from the ground up, the Machine Learning Guide (MLG) seeks to gently introduce listeners to the field of machine learning. Topics covered include reinforcement learning, hyperparameters, and basic algorithms like logistic regression and linear regression.

Although Tyler’s explanations might keep you captivated for up to an hour, the episodes have a duration of 45 minutes or less. This podcast is ideal to listen to while doing other things, such as driving, working out, or doing housework. The educational materials that the host offers after each episode are among the greatest features of this podcast. You can learn more about the subject by reading a suggested textbook or enrolling in a recommended course after listening to a high-level overview.

A link to an overview of Python deep learning frameworks can be found in his episode on languages and frameworks. You will have a very thorough understanding of machine learning if you finish the extra materials and watch the episodes in their entirety. MLG has produced 29 full-length episodes as of this writing. Tyler is presently hosting a second podcast, Machine Learning Applied, where he discusses the more useful applications of machine learning. He provides answers to queries like how much money to expect, how to store data effectively, and how to make the most of Jupyter notebooks. Those who become Patroen supporters will have access to Machine Learning Applied.

More or Less: Behind the Stats

Short and snappy episodes of this BBC and Tim Harford podcast help make sense of statistics. The range of topics covered is extensive, encompassing everything from determining how data has contributed to doubling life expectancy to estimating the number of swimming pools of vaccine required to vaccinate every person on the earth.

Becoming a Data Scientist

This podcast accomplishes all it claims to. Each week, Renee Teate, the host, interviews someone on their route to “becoming a data scientist.”She conducts conversations with other data science experts to find out precisely how they were able to establish themselves in the field. Renee talks about her path from her prior position as a data analyst to that of a data scientist in the first episode.

The podcast is not presently in operation. The previous season aired at the beginning of 2017. Even so, the twenty-hour programs that have already been broadcast are jam-packed with knowledge.

Talk Python to Me

This podcast, which has already produced more than 320 episodes covering Python and associated technologies, showcases Python’s flexibility as a programming language. Michael Kennedy hosts the program, which alternates between discussing the uses of Python by software engineers, data scientists, and even casual enthusiasts.

The Data Engineering Podcast

This episode is for you if you’re interested in the specialized job of a data engineer. The program focuses on data engineering tools and methodologies as well as potential challenges engineers may have with workflow, automation, and data manipulation. This one is packed with valuable suggestions.

Data Viz Today

Data is most effective when it tells a compelling story, and visualizations may assist in making that happen. Alli Torban, a data visualization designer, interviews other accomplished data designers and uses her work to present the newest techniques and resources in this episode.

HumAIn Podcast

David Yakobovitch investigates AI for consumers through fireside chats with prominent figures in the business, such as chief data scientists and AI advisers. To close the gap between people and robots, the podcast also examines recent developments in the industry and new AI technologies.

Concerning AI

Unlike other podcasts on this list, this one approaches AI differently. “Concerning AI” explores the philosophical side of technology instead of the technical elements of machine learning. Hosts Ted Sarvata and Brandon Sanders explore the potential societal effects of AI both now and in the future. “Concerning AI” is a thought-provoking podcast, even if it might not cover the same topics as the other podcasts on our list.

Freakonomics Radio

“Freakonomics Radio” is a very engaging podcast that explores the complex challenges of economics and statistics about global concerns, however, it may not strictly fall under the data science category. This weekly podcast focuses on the “before” process of data science, which includes the arithmetic, computations, and ideas that underpin the field, even if it may not directly address the technology associated with it.

IBM Analytics Insights

This is the channel to tune into for in-depth discussions with knowledgeable people about extremely complicated subjects. This program’s technical level makes it more appropriate for seasoned data science professionals who want to share their own experiences and tales. Even the non-academic can find something interesting and entertaining to watch in the weekly episodes, which cover interesting subjects like cybercrime and video analytics.

Present Beyond Measure

This biweekly podcast, which Lea Pica hosts, incorporates her expertise as a data scientist and presentation specialist, together with her personal experiences. With an emphasis on difficulties in the data analytics and visualization field, “Present Beyond Measures” mostly consists of monologues with sporadic interviews with industry experts. The show aims to give direction and insight into the tools and skills necessary in the business. You will benefit greatly from this episode if you work as a digital marketer, analyst, or business insight practitioner.

Towards Data Science

This practitioner-focused podcast explores issues that professional data scientists confront, such as automated data cleaning, model assessment, networking, and job searching, much like its associated Medium site. The presenters also encourage visitors to go deeper into abstract and advanced subjects, such as non-technical data science skills, AI ethics, and data privacy.

The Banana Data Podcast

Dataiku has released some impressive additional material as it has grown to become one of the most well-known data science platforms. That includes this listener-friendly podcast and a carefully crafted email. The episodes are short (30 minutes or less) and cover a variety of issues, such as the ongoing dispute between R and Python, human-in-the-loop monitoring, and the exorbitant prices of artificial intelligence.

Casual Inference

This data-centric public-health podcast, which debuted in November of last year and is sponsored by the American Journal of Epidemiology and hosted by a biostatistician and a public-health epidemiologist from Boston University, undoubtedly gained more attention during the pandemic by providing additional data-related counterprogramming and incorporating data science insights into its coverage. The domain specialization shouldn’t scare non-whitecoats away. When they explore subjects like machine learning fairness, Bayesian statistics, and uncertainty communication, they will have plenty to offer.

The PolicyViz Podcast

Feel that data visualization cannot be adequately conveyed using audio? The lengthy podcast hosted by Jonathan Schwabish disproves this. Some of the most well-known thought leaders in data visualization, such as Andy Kirk, Alberto Cairo, John Burn-Murdoch, Christine Zhang, and many more, have been interviewed by the host and author of Better Presentations since 2015. The talks are consistently interesting and educational.

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Best Data Science Podcasts: Conclusion 

The list of best data science podcasts doesn’t end here. Many podcasts are coming up every day. In an area as broad and intricate as data science, additional assistance in comprehending challenging ideas and remaining informed about significant breaking news is beneficial. These data science podcasts can assist you in laying a solid foundation that will support your learning process, even if you’ve just recently begun to study the field. Despite its complexity, data science is a discipline that raises some of the most intriguing and thought-provoking questions. Spending your commute listening to professionals discuss these topics could be a pleasant pursuit.