In the world of data, where numbers and insights shape the future, keeping up with the latest trends and voices is imperative. That's where podcasts come in—your on-the-go source for everything big data. The podcast universe is brimming with experts, enthusiasts, and pioneers eager to share their knowledge, experiences, and predictions.
Whether you're a data scientist, a business leader, or just a curious mind looking to understand how big data transforms our world, there's a podcast for you. From deep dives into data analytics to casual chats about the impact of data on society, these podcasts offer a blend of education, insight, and entertainment. So, plug in your headphones as I share the top big data podcasts that make complex concepts accessible and engaging for everyone.
17 Big Data Podcasts
Dive into these big data podcasts for expert insights:
- Data Skeptic with Kyle Polich
- Not So Standard Deviations with Roger D. Peng and Hilary Parker
- Data Engineering Podcast with Tobias Macey
- DataFramed with Adel Nehme and Richie Cotton
- SuperDataScience with Kirill Eremenko
- Talking Machines with Katherine Gorman and Neil Lawrence
- Data Science at Home with Francesco Gadaleta
- The AI in Business Podcast with Daniel Faggella
- Making Data Simple with Al Martin
- More or Less: Behind the Stats with Tim Harford
- The TWIML AI Podcast with Sam Charrington
- AI Today Podcast with Kathleen Walch and Ronald Schmelzer
- Data Crunch with Derek Harris and Gina Fiedel
- The Data Chief with Cindi Howson
- Data Science Salon Podcast with Anna Anisin
- Harvard Data Science Review with Xiao-Li Meng and Liberty Vittert
- The Banana Data Podcast with Christopher Peter Makris and Triveni Gandhi
Best Big Data Podcasts Overview
1. Data Skeptic with Kyle Polich
Summary:
Data Skeptic takes a unique approach to explaining big data, data science podcasts, and artificial intelligence, focusing on algorithms, deep learning, and data visualization advancements. It breaks down complex topics into understandable segments, making it accessible for beginners and experts.
What You'll Learn:
Insights into how data science applies to real-world scenarios, critical thinking on statistical claims, and foundational knowledge on machine learning and AI technologies.
Why You Should Listen:
Kyle Polich combines expert interviews with mini-episode explanations, offering a well-rounded perspective on data science's impact across various industries.
Best Episode:
"LLMs for Data Analysis" - In this episode, we are joined by Amir Netz, a Technical Fellow at Microsoft and the CTO of Microsoft Fabric. He discusses how companies can use Microsoft's latest tools for business intelligence.
Links To Listen:
About The Host:
Kyle Polich is a data science expert with a background in computer science and a passion for using data to solve problems. He aims to make data science approachable for everyone.
2. Not So Standard Deviations with Roger D. Peng and Hilary Parker
Summary:
Not So Standard Deviations explores the fun side of data analysis, focusing on how statistics influence everything around us. Roger D. Peng and Hilary Parker bring a light-hearted, conversational tone to the discussion of data science.
What You'll Learn:
The podcast covers topics from data analysis methodologies to the latest in data science news, all while maintaining a focus on how statistics affect our daily lives.
Why You Should Listen:
If you're looking for a blend of education and entertainment in the data science space, this is the podcast for you. The hosts share their extensive knowledge without taking themselves too seriously.
Best Episode:
"AI Grand Strategy" - Hilary and Roger are discussing Python in Excel, speed cubing data, and a grand strategy for AI weapons.
Links To Listen:
About The Host:
Roger D. Peng is a professor at Johns Hopkins Bloomberg School of Public Health, and Hilary Parker is a data scientist in the tech industry. Together, they offer a wealth of experience and a unique perspective on the field of data science.
3. Data Engineering Podcast with Tobias Macey
Summary:
The Data Engineering Podcast is a deep dive into the technical skills and projects in data engineering. Tobias Macey interviews industry professionals to shed light on the challenges and successes of managing data.
What You'll Learn:
The intricacies of building and maintaining data pipelines, data storage, and architecture best practices.
Why You Should Listen:
This podcast is perfect for those who want to understand the backend of data science—the vital work of data engineers that enables data analysts and scientists to perform their magic.
Best Episode:
"Modern Customer Data Platform Principles" - In this episode, Tasso Argyros, CEO of ActionIQ, discusses the evolution of databases and analytics architectures, focusing on managing customer data. He outlines major technological shifts and how cloud data warehouses enhance building comprehensive experiences for end-users via a modern Customer Data Platform (CDP).
Links To Listen:
About The Host:
Tobias Macey is a seasoned data engineer with experience across multiple industries. He shares his deep technical knowledge and industry insights, making complex topics accessible and engaging.
4. DataFramed with Adel Nehme and Richie Cotton
Summary:
DataFramed tackles the world of data science by engaging with top industry leaders to discuss the latest in data analytics, trends, and skills needed to thrive in the data science field.
What You'll Learn:
Practical advice on data science projects, insights into data analytics trends, and essential skills for data scientists.
Why You Should Listen:
The hosts bring a unique blend of expertise and enthusiasm to discussions, making complex topics accessible and engaging for listeners at all levels.
Best Episode:
"Data Trends & Predictions 2024 with DataCamp's CEO & COO, Jo Cornelissen & Martijn Theuwissen" - In this episode of DataFramed, the quests reflect on generative AI's significant advancements in 2023, its applications, and evolving trends in data science and AI. They explore the implications for DataCamp, skill development, and the future of data & AI in 2024, including programming languages, new roles, and the job market.
Links To Listen:
About The Host:
Adel Nehme, a data science evangelist, specializes in bridging the theoretical and practical aspects of data science, making complex concepts accessible to a wide audience. Richie Cotton, known for his expertise in statistics and data-driven storytelling, focuses on demystifying data analysis and programming, enriching the data science community with engaging educational content.
5. SuperDataScience with Jon Krohn
Summary:
SuperDataScience offers listeners a window into the broad field of data science, from analytics to AI, featuring interviews with leading experts and insights into the latest developments.
What You'll Learn:
A wide range of topics, including machine learning, artificial intelligence, and career advice for data science professionals.
Why You Should Listen:
Jon Krohn's passion for data science shines through as he explores various subjects, making this podcast a must-listen for those interested in the field's future.
Best Episode:
"Data Science for Clean Energy, with Emily Pastewka" - This episode covers the impact of AI on smart energy choices, the creation of a smart grid, and the wide array of professionals required to bring cleantech data solutions to life.
Links To Listen:
About The Host:
Jon Krohn is renowned for his expertise in deep learning and artificial intelligence, combining a robust academic background with practical industry experience. As a host, he excels in breaking down complex AI concepts into digestible insights, making cutting-edge technologies accessible to a broad audience.
6. Talking Machines with Katherine Gorman and Neil Lawrence
Summary:
Talking Machines demystifies machine learning and AI, offering deep dives into technical aspects, ethical considerations, and the future of these technologies.
What You'll Learn:
The technical foundation of AI and machine learning, ethical issues in AI, and predictions for the future of the field.
Why You Should Listen:
Katherine Gorman and Neil Lawrence combine expert interviews with thoughtful analysis, creating a comprehensive view of the AI landscape.
Best Episode:
"Data Driven Ideas and Actionable Privacy" - In this episode they talk about the importance of crediting your data, answer a listener question about internships vs salaried positions and talk with Matt Kusner of the Alan Turing institute the UK’s national institute for data science and AI.
Links To Listen:
About The Host:
Katherine Gorman is a seasoned journalist specializing in technology and science, while Neil Lawrence is a professor of machine learning with deep insights into AI's implications.
7. Data Science at Home with Francesco Gadaleta
Summary:
Data Science at Home brings listeners to the heart of data science, making complex concepts accessible and engaging. Francesco Gadaleta discusses the latest trends in AI, machine learning, and data science from a home-based perspective.
What You'll Learn:
Techniques and tools in data science, ethical considerations in AI, and practical applications of machine learning in everyday life.
Why You Should Listen:
Francesco's approachable style and in-depth analysis make this podcast ideal for those looking to integrate data science concepts into their personal and professional lives.
Best Episode:
"Open Source Revolution: AI's Redemption in Data Science" - Dive into the world of Data Science at Home with our latest episode, where we explore the dynamic relationship between Artificial Intelligence and the redemption of open-source software.
Links To Listen:
About The Host:
Francesco Gadaleta is a data scientist and AI researcher with a passion for making data science accessible to a wider audience. He combines technical expertise with a knack for clear communication.
8. The AI in Business Podcast with Daniel Faggella
Summary:
The AI in Business Podcast focuses on practical applications of AI in businesses, offering insights from industry leaders on how AI technology can transform operations and strategy.
What You'll Learn:
Case studies of AI implementation in various industries, strategies for integrating AI into business processes, and foresight into future AI trends.
Why You Should Listen:
Daniel Faggella brings a wealth of knowledge and an extensive network of experts to the table, offering invaluable insights for business leaders and entrepreneurs.
Best Episode:
"Building a Data-Driven Go-To-Market Engine in Retail" -
In this episode, Michael Tambe, Head of Scaled Insight Science at Amazon Ads, shares his journey as a data science leader at forefront companies like Amazon Ads and LinkedIn, advocating for the creation of a "data-driven go-to-market engine." He discusses the challenges and opportunities of new AI technologies with Emerj Senior Editor Matthew DeMello, alongside insights on AI readiness and strategy from Emerj Plus.
Links To Listen:
About The Host:
Daniel Faggella is the founder of Emerj Artificial Intelligence Research and an expert in business applications of AI. He's dedicated to helping businesses leverage AI for competitive advantage.
9. Making Data Simple with Al Martin
Summary:
Making Data Simple offers an engaging look at how data affects our decisions, businesses, and technology trends. Al Martin navigates through complex topics with ease, making them accessible to a broad audience.
What You'll Learn:
Insights into data strategy, analytics, and the impact of data on business and technology.
Why You Should Listen:
Al Martin's practical approach demystifies data concepts, making this podcast a valuable resource for professionals seeking to leverage data in their roles.
Best Episode:
"Ed Anuff, CPO, DataStax as we discuss the future of databases with AI and GenAI" - In this episode, Ed Anuff, CPO at DataStax and a veteran with roles at Google, Apigee, Six Apart, Vignette, Epicentric, and Wired, dives into the future of databases intertwined with AI and Generative AI technologies.
Links To Listen:
About The Host:
Al Martin is an experienced leader in data and analytics, currently serving as a VP at IBM. His expertise and engaging speaking style make him a sought-after voice in the data community.
10. More or Less: Behind the Stats with Tim Harford
Summary:
More or Less: Behind the Stats dives into the statistics surrounding us in daily life and the news, demystifying numbers and their interpretations. Tim Harford offers a critical look at how statistics shape our understanding of the world.
What You'll Learn:
The truth behind misleading statistics, how to interpret data correctly, and the impact of statistics on public opinion and policy.
Why You Should Listen:
Tim Harford's insightful analysis and clear explanations make complex statistical concepts accessible, enhancing your ability to critically assess information.
Best Episode:
"The digital 'robots' unlocking medical data" - In this episode, Professor Ben Goldacre discusses OpenSAFELY, a system designed to protect privacy in large medical datasets while utilizing them to enhance healthcare treatments and policies, powered by a specialized computer code "robot."
Links To Listen:
About The Host:
Tim Harford is an economist, journalist, and broadcaster known for his ability to explain complex economic concepts in an understandable and engaging way.
11. The TWIML AI Podcast with Sam Charrington
Summary:
The TWIML AI Podcast brings the latest breakthroughs and trends in AI and machine learning to listeners, featuring interviews with leading researchers and industry professionals.
What You'll Learn:
Cutting-edge developments in AI and machine learning, practical applications of AI technologies, and insights into the future of AI research.
Why You Should Listen:
Sam Charrington’s depth of knowledge and network of experts provide listeners with a comprehensive look at the AI landscape, making it a must-listen for anyone interested in the field.
Best Episode:
"Ai Agents and Data Integration with GPT and LLaMa with Jerry Liu" - In this episode, Jerry Liu, co-founder and CEO of Llama Index, explores enhancing decision-making through integrating external data with advanced language models, and discusses optimizing complex data queries, summarization, semantic search, and refining language model results.
Links To Listen:
About The Host:
Sam Charrington is a cloud and big data analyst turned AI and machine learning evangelist. He’s the founder of TWIML (This Week in Machine Learning & AI) and is passionate about making AI technology accessible and understandable.
12. AI Today Podcast with Kathleen Walch and Ronald Schmelzer
Summary:
AI Today Podcast shines a light on the real-world applications of artificial intelligence, dissecting how AI technology is transforming industries, governments, and society.
What You'll Learn:
The podcast covers AI use cases, AI strategies, and insights into how AI is being implemented across different sectors.
Why You Should Listen:
Kathleen Walch and Ronald Schmelzer bring their expertise in AI strategy and analysis to provide listeners with a clear understanding of how AI technologies are shaping the future.
Best Episode:
"AI Today Podcast: The Critial AI and Data Skills Needed for AI Project Managers" - In this episode, the focus is on the data-centric nature of AI projects, emphasizing that data is at the core of artificial intelligence. It highlights the necessity for project managers in AI to extend their capabilities beyond traditional project management skills, incorporating specialized knowledge for managing schedules, resources, and teams to achieve organizational objectives.
Links To Listen:
About The Host:
Kathleen Walch and Ronald Schmelzer are co-founders of Cognilytica, an AI research and advisory firm. They are recognized experts in AI and machine learning technologies.
13. Data Crunch with Wilco Van Ginkel, Colin West, and Remi Gould
Summary:
Data Crunch explores the innovative ways data science and analytics, including python algorithms, are being used to solve big challenges across industries. Wilco Van Ginkel, Colin West, and Remi Gould host conversations with data science professionals and business leaders to uncover the impact of data analytics.
What You'll Learn:
How data-driven decision-making is transforming businesses, innovative data science projects, and the future of analytics in various fields.
Why You Should Listen:
The podcast provides practical examples and stories that illustrate the power of analytics, making it a great resource for those looking to understand the real-world impact of data science.
Best Episode:
"Keeping Up with the Ever Changing World of Data" - In this episode of The Data Crunch Podcast, Episode 12 features Sanjeev Mohan, a former Gartner research VP and current advisor in cloud, big data, and analytics. He engages in an insightful discussion on the breadth of data science, offering personal advice on entering the field, with hosts Colin West, a Data Scientist, and Remi Gould, a Data Analyst, facilitating a broad conversation on the intriguing aspects of data.
Links To Listen:
About The Host:
Wilco Van Ginkel is a cybersecurity and data privacy expert, known for his leadership in data-driven projects. Colin West, a Data Scientist, excels in analyzing complex datasets and articulating insights, while Remi Gould, a Data Analyst, specializes in turning data into actionable intelligence. Together, their diverse expertise offers a comprehensive view on the practical and strategic aspects of data.
14. The Data Chief with Cindi Howson
Summary:
The Data Chief is dedicated to the world of data analytics, offering insights from Cindi Howson and other leading data professionals. The podcast focuses on how data leaders can drive business outcomes and build a data-driven culture.
What You'll Learn:
Strategies for leading a data-driven organization, insights on data analytics trends, and best practices from industry leaders.
Why You Should Listen:
Cindi Howson brings her extensive experience and knowledge to the conversation, offering actionable advice for data professionals and business leaders alike.
Best Episode:
"Three Must-Read Data and Analytics Books with Dr. Barb Wixom, Vin Vashishta, and Asha Saxena" - In this episode, Cindi dives into three of the hottest book recommendations for data and analytics leaders and sits down with Dr. Barb Wixom, author of Data is Everybody’s Business, Vin Vashishta, author of From Data to Profit, and Asha Saxena, author of The AI Factor.
Links To Listen:
About The Host:
Cindi Howson is the Chief Data Strategy Officer at ThoughtSpot, with decades of experience in data and analytics. She is a former Gartner analyst and has authored several books on BI and data analytics.
15. Data Science Salon Podcast with Anna Anisin
Summary:
Data Science Salon Podcast brings together industry experts and practitioners to discuss the key challenges and opportunities in data science and machine learning. Hosted by Anna Anisin, the conversations delve into trends, technologies, and the future of data science across various sectors.
What You'll Learn:
Insights into the latest data science trends, effective machine learning strategies, and real-world applications of data technologies in different industries.
Why You Should Listen:
Anna Anisin’s experience in organizing data science events and her network of professionals provide listeners with a unique perspective on where the field is heading and how to navigate its complexities.
Best Episode:
"Building data products with Solomon Kahn" - In this episode, Q McCallum interviews Solomon Kahn about his startup, Delivery Layer, emphasizing the untapped value of data exiting a company. They discuss the unique challenges of creating data products, drawing on Kahn's extensive experience and lessons from the evolving data field.
Links To Listen:
About The Host:
Anna Anisin is the founder and CEO of Formulated.by, leveraging her extensive background in data science and event organization to foster a community of data professionals.
16. Harvard Data Science Review with Xiao-Li Meng and Liberty Vittert
Summary:
Harvard Data Science Review offers a multidisciplinary approach to the vast world of data science, featuring discussions with thought leaders, researchers, and practitioners about the latest developments, challenges, and breakthroughs in the field.
What You'll Learn:
The podcast covers a broad spectrum of topics, including ethical considerations in data science, innovative research findings, and the impact of data science on society.
Why You Should Listen:
The diverse range of voices and expert insights provides listeners with a comprehensive view of the current state and future directions of data science.
Best Episode:
"What is Data Science?" - In this episode, the journey of Dr. Xiao-Li Meng to becoming the founding editor-in-chief of the Harvard Data Science Review is explored, along with answers to listener questions about entering the field of analytics and assessing data reliability. Insights from Dr. Meng's esteemed career are shared, aiming to demystify the field of data science for the audience.
Links To Listen:
About The Host:
Xiao-Li Meng, Harvard's Whipple V. N. Jones Professor and editor-in-chief of Harvard Data Science Review, excels in statistics and data science. Liberty Vittert, with roles at Washington University and the University of Glasgow, applies data science to real-world issues, making the field accessible. Their expertise provides deep insights into data science's practical applications and theories.
17. The Banana Data Podcast with Christopher Peter Makris and Triveni Gandhi
Summary:
The Banana Data Podcast offers a fresh take on all things data science, from ethical AI to the latest industry trends. Hosts Corey Strausman and Triveni Gandhi engage in lively discussions with experts, providing insights with a focus on the human aspect of data science.
What You'll Learn:
The ethical implications of AI, practical data science tips, and how to navigate the challenges of implementing AI and machine learning in real-world scenarios.
Why You Should Listen:
The podcast stands out for its approachable tone and commitment to demystifying data science without oversimplification, making it perfect for both newcomers and seasoned professionals.
Best Episode:
"Methodology & Funktionality in Differing Data Science Roles" - In this episode, Emma Irwin joins the conversation to delve into various methodologies and functionalities within the data science field, highlighting her role as a Solutions Engineer at Dataiku. To stay informed on significant discussions in data and AI, listeners are encouraged to subscribe to the Banana Data Podcast on Apple or Spotify.
Links To Listen:
About The Host:
The new host Christopher Peter Makris along with their veteran host Triveni Gandhi bring a combination of expertise in data science and a passion for ethical AI, making them well-equipped to explore the complexities of the field.
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