Top 10 Data Science Podcasts You Must Listen

In this article, we’ll show you top 10 Data Science podcasts you must listen.

Podcast is a series of spoken word, audio episodes, all focused on a particular topic or theme, like cycling, startups or data science. You can subscribe to the show with an app on your phone and listen to episodes whenever you like on your headphones, in the car or through speakers. When it comes to data science, it is essential to remain familiar with the recent developments, which can even come every week.

Top 10 Data Science Podcasts

1. Linear Digressions

This weekly data science podcast is hosted by Katie Malone and Ben Jaffe. They are known for presenting all the recent developments in data science in a nice way to make them easily understandable. Besides, they are friends and motivated to help people to explore this field.

Linear Digressions Data Science Podcasts

Insights of this Podcast 

  • If you want to enhance your knowledge in machine learning and artificial intelligence to extend the power of data science to a great extent, you should listen to this show.
  • All the episodes are easily accessible. Besides, if you are a beginner or new to this industry, this podcast will boost your confidence.
  • Already consist of more than 100 episodes, while each episode is half an hour long and can provide an in-depth understanding of a certain topic.
  • If you are a beginner in this field, you may become interested as it starts from the fundamentals and advances through complex terms like Fourier transform.
  • They are available on many platforms such as RSS, iTunes ⋅ Podbean ⋅ Player FM, so you can easily listen to this weekly show from anywhere, anytime.
  • The best part of this program is you can easily contact the hosts to discuss a trending subject or clear your perception of any topic.

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2. O’Reilly Data Show

The O’Reilly Data Show Podcast explores the opportunities and techniques driving big data, data science, and AI. It is one of the most impressive data science podcasts available out there, led by an experienced data scientist, Ben Lorica. Besides, a professional individual joins Ben to share his knowledge and discuss various data science topics. You can listen to this program at RSS, iTunes, Podbean, Player FM and find their Twitter page.

O'Reilly Data Show datascience podcasts

Insights of this Podcast

  • The basic or fundamentals of data science and the analytical part are prioritized in this presentation by discussing real-life problems.
  • Get all the remarkable things required for your career, like mastering a new skill, building expertise in critical topics, or solving problems.
  • Alongside podcasts, they also provide books, videos, and live training, making it an ideal place for online learning.
  • Focuses on keeping content always up-to-date to enable you to be ahead of the curve and establish a strong position at your organization.
  • You can expect all episodes to run at least  30 to 40 minutes, and if interested, you can easily access the program from anywhere in the world.
  • Every podcast is followed by an event to share more information and knowledge of the topics. You will find many conferences on their website covering Strata Data, AI, etc.

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3. SuperDataScience

The SuperDataScience podcast brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there’s an unprecedented opportunity for you to make an enormous impact in your lifetime.

Whether you’re curious about getting started in a data career or you’re a deep technical expert, whether you’d like to understand what A.I. is or you’d like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

SuperDataScience data science podcasts


Insights of this Podcast 

  • This is one of the best data science podcasts for motivating listeners to incorporate big data in traditional operations to improve efficiency.
  • Covers almost every branch of data science and represents how business can take advantage and bring necessary changes as well.
  • It comes with a new episode every week and discusses with prominent data scientists and data analysts to share how one can succeed in this industry.
  • Most high-level topics like Machine Learning, Artificial Intelligence, Tableau, R programming, BlockChain, Deep Learning are covered alongside the principles.
  • Besides, you will find conversations with industry experts in the form of a minisode called Five Minute Friday on their site, which has already got many people’s attractions.
  • You can listen to this podcast in RSS iTunes, Podbean, Player FM and improve yourself as a data scientist and advance your career further in this domain.

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4. Data Skeptic

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

It discusses statistics, machine learning,  artificial intelligence, and the analytical part of enabling you to collect more precise information and hidden meaning from big data.

Data Skeptic data science podcasts

Insights of this Podcast 

  • They are available on every popular platform like RSS ⋅ iTunes ⋅ Podbean ⋅ Player FM, while a Twitter page is also available.
  • You can listen to over 200 episodes available on their site, and even if you are a beginner, you will be able to understand the fundamentals and dive into complex topics.
  • To cover the latest development of data science and broad topics like fake news and interpretability, recently, they have started releasing themed episodes.
  • Naturally, the two types of presentations are streamed while you will find discussions with leading experts and minisodes focusing on high-level data science concepts.
  • Hosted by Kyle Polich, who is accompanied by Linh Da Tran in some episodes to provide better knowledge of natural language processing and k-means clustering.
  • This weekly podcast is impressive and has already established itself as the most granted data science podcast accessible out there.

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5. Becoming a Data Scientist

This big data program is intended to help listeners to become data scientists. It is hosted by Renee Teate, who releases this podcast every week to motivate people to try to indulge themselves in this field. They also discuss a data science learning activity for the Becoming a Data Scientist Learning Club. Topic tags: data science, data analysis, databases, careers, education, learning, technology, python, R, computer programming, statistics, business, machine learning


Insights of this Podcast 

  • Designed to help beginners as it shares the experience of an industry leader. It highlights the path that should be followed to be a successful player in this field.
  • Although she is not currently releasing any new episodes, her site already contains many episodes, and you can take a lot from that.
  • You will get twenty-hour-long episodes and a tremendous amount of data science-related information accessible anywhere from the world.
  • You can listen to this podcast in the mainstream feeds like RSS,  iTunes, Podbean, Player FM, and @BecomingDataSci is their Twitter page.
  • It was created to act as a Data Science Learning Directory to take help from the archives and guidelines.

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6. Partially Derivative

Just like the previous bid data podcast described already, this podcast is already discontinued. But there is still everything available on their site, and you can access it anytime, anywhere from the world. It has a lot of information focusing on data science, although it is a personal project.

Partially Derivative

Insights of this Podcast 

  • Arranged by Jonathon, Vidya, and Chris. They are data science experts and emphasized the implementation of techniques used in data science.
  • Contains discussion with industry experts and professionals who have already innovated many data science solutions and created new opportunities.
  • Used to discuss the latest addition to data science and how you can integrate with the existing solutions to increase productivity or efficiency.
  • Each episode can be twenty minutes to one hour long, but you will never get bored as the presentation is engaging and easily understandable.
  • You will get more than one hundred episodes on their site and a chance to have a look at the past year’s trending new stories or magazine covers.
  • Learn how you can explore how backlog works alongside topics like data scraping, bias models, pair-programming in Python, and SQL.

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7. Learning Machines 101

Dr. Richard Golden hosts this data science podcast. He shares his thoughts and knowledge of Cognitive Science and Electrical Engineering in this program. It is designed to reach the maximum audience and motivate people to be data scientists. All the latest additions to the field of big data or data analytics are also presented to keep you updated.

Learning Machines 101 data science podcasts

Insights of this Podcast 

  • Machine Learning and Artificial Intelligence are used to increase the power of data analytics, and this podcast gives ML and AI the highest priority.
  • If you are entirely new to this area, then you may find the presentation quite technical, complicated, and tricky as it covers most of the advanced level stuff.
  • Focused on enabling you to integrate data science techniques knowledge representation, expectation-maximization, and spectral clustering with your business.
  • Each episode is at most half an hour-long, although you will need to listen several times to clearly understand the topic.
  • Although this podcast can be an ideal guideline for any data science enthusiast, the frequency of releasing new episodes is pretty low.
  • Get a highlight of the high-level branches of data science before diving into the core or enrolling yourself in a data science course.

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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. This weekly big data podcast discusses the latest developments of data science and brings light to the diversifying opportunities that can be created. From machine learning, artificial intelligence to Data Mining and Statistical Analysis, and Business Strategies are covered in this program.


Insights of this Podcast 

  • This program is hosted by Sam Charrington, who is used to take interviews with industry leaders and experienced professionals in data science.
  • The target group includes academics, students, business entrepreneurs, data scientists ML, and AI enthusiasts.
  • Not suitable for the newcomers as it targets the group of industry professionals. As a result, as a beginner, you will not be able to follow everything.
  • Even though you are working in this sector for many years, you should go through all the fundamentals before listening to this podcast.
  • More than two hundred hour-long audio contents are available on their site, and you can also listen to all popular platforms like RSS, iTunes, Podbean, and Player FM.
  • To know the latest strategies in data science, check the most recent episode, while archives are also there to see the history of ML and AI development.

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9. Not So Standard Deviations

When you get a chance to know the personal experience of a successful leader in any industry, it helps to boost your confidence and guides you to the right track. This is one of the best data science podcasts if you want to work with data and become a data scientist.

Not So Standard Deviations podcast

Insights of this Podcast 

  • Discusses the open-source tools that you can use to enhance the credibility of data science as well as R programming language, ad hoc data analysis, and Moka pots.
  • You will also get a brief idea of developing business models, evaluating performance, illustrating perceptions of data science, and starting thinking to generate solutions.
  • This program is hosted by Roger Peng and Hilary Parker, who love to talk about text-based formats and implications for statistical modelling.
  • Listen to the discussion to forecast the future of a specific system and know how predictive analysis plays an essential role in business organizations.
  • Besides, data frames and big data in military and intelligence applications and how the responsibility of data science may vary from one enterprise to another is explained.
  • Most of the episodes may last from one hour to one hour and 30 minutes, allowing people to give more time on a particular topic for better understanding.

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10. Data Science at Home

This podcast is created to make machine learning easy for everyone. It also wants to make people motivated enough to dig deep into this advanced field of data science. This program is hosted by Francesco Gadaleta, and he is popular when it comes to solo presentations.

Data Science at Home podcast

Insights of this Podcast 

  • You will find two types of episodes while one example refers to the discussion with industry experts, and the other is solo performances by Francesco himself.
  • Although Machine Learning is emphasized in this audio streaming, the topic is not fixed. But the schedule is not also set, and they release new episodes randomly.
  • The length of the program is not fixed. Discussions may last for one hour, but he can take up to one hour and twenty minutes if the host discusses any topic.
  • Explains deep learning to provide a better perception of activation functions in deep learning, such as rectified linear units or ReLU.
  • Francesco shares his opinions on a wide range of topics like AI winter, data optimization strategies and discusses his perspective as well.
  • Expect the latest and most relevant findings regarding data analytics, neural networks, data anonymization, and reproducible machine learning.

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Data science has reshaped the business processes and revolutionized the operations through its functionalities, offerings, and extensibility. We have covered top 10 Data Science podcasts you must listen.

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