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Data is everything in SaaS. To scale, clean data, consistent processes, and talented analysts are needed to uncover business insights. Tune into the best data science podcasts to learn from some of the best in the biz and nerd out on the science behind the numbers.

13 Best Data Science Podcasts

Want to become a more data-driven leader? Start here:

  1. Data Skeptic by Kyle Polich
  2. Not So Standard Deviations by Roger Peng and Hilary Parker
  3. DataFramed by Adel Nehme and Richie Cotton
  4. Data Science Salon Podcast by Data Science Salon
  5. Data Science at Home by Dr. Francesco Gadaleta
  6. Super Data Science by Jon Krohn
  7. The Data Engineering Podcast by Tobias Macey
  8. AI in Business by Daniel Faggella
  9. Analytics Power Hour by Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer
  10. Women in Data Science by Margot Gerritsen and Chisoo Lyons
  11. Data Futurology by Felipe Flores
  12. Data Viz Today by Alli Torban
  13. The Data Exchange by Ben Lorica

Best Data Science Podcasts Overview

1. Data Skeptic by Kyle Polich

Data Skeptic - data science podcast

Summary:

Data Skeptic by Kyle Polich is a unique podcast that explores data science, statistical concepts, and machine learning in a very accessible way. It is designed for professionals and enthusiasts, blending expert interviews with educational segments.

What You'll Learn:

Listeners will gain insights into various aspects of data science, including its application in technology and daily life. The show often discusses how data-driven techniques can be used to solve complex problems and make predictions.

Why You Should Listen:

The podcast stands out for making complex topics approachable to a broad audience. Whether you're a data professional or just curious about the field, Kyle's clear explanations and engaging interviews make this show a must-listen.

Best Episode:

Uncontrollable AI Risks - The episode emphasizes the importance of ethical considerations, safety protocols, and robust regulatory frameworks to mitigate risks such as decision-making biases, loss of privacy, and the potential for AI to be used in harmful ways.

Links To Listen:

About The Host:

Kyle Polich is an expert in data science with a deep passion for statistical learning and AI. He combines his technical expertise with a talent for understandably communicating complex concepts. Find Kyle Polich on LinkedIn.

Listener Review:

A colleague introduced me to Data Skeptic last year and I’ve been enjoying the episodes. Kyle’s good at covering topics from many levels of data science understanding—his mini series with a non-data scientist are a great way to learn the basics!” - calzone.onsets

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2. Not So Standard Deviations by Roger Peng and Hilary Parker

Not So Standard Deviations - data science podcast

Summary:

Not So Standard Deviations by Roger Peng and Hilary Parker focuses on the latest in data science, real-world analytics, and the experiences of data scientists.

What You'll Learn:

The podcast covers various topics, from statistical programming to career advice for data professionals. Roger and Hilary discuss their own experiences in the field, offering personal insights and advice.

Why You Should Listen:

If you're looking for a blend of professional wisdom and personal experience in the world of data science, this podcast is for you. The hosts' chemistry and expertise make complex subjects engaging and relatable.

Best Episode:

AI Grand Strategy - The episode explores topics like the race for AI supremacy, the impact of AI on national security, economic competitiveness, and the ethical dimensions of AI development. It offers a comprehensive look at how countries are positioning themselves in the rapidly evolving landscape of AI, making it a must-listen for anyone interested in the intersection of technology, policy, and international relations.

Links To Listen:

About The Hosts:

Roger Peng is a renowned statistician with a focus on environmental health. Hilary Parker is a data scientist in the tech industry. Both bring a wealth of experience and a unique perspective to the show.

3. DataFramed by Adel Nehme and Richie Cotton

DataFramed - data science podcast

Summary:

DataFramed by Adel Nehme and Richie Cotton dives into the world of data science through conversations with industry leaders and experts.

What You'll Learn:

This podcast covers everything from data ethics to career tips for aspiring data scientists. Guests share their experiences, providing a comprehensive view of the field.

Why You Should Listen:

For those looking to deepen their understanding of data science and hear from top professionals in the field, DataFramed offers a wealth of knowledge and diverse perspectives.

Best Episode:

Data Security in the Age of AI with Bart Vandekerckhove, Co-founder at Raito - The episode dives into topics such as privacy concerns, the implications of AI in cybersecurity, and how organizations can safeguard their data against emerging threats. This conversation is particularly relevant for professionals in data science and cybersecurity, offering valuable perspectives on ensuring data integrity and security in the AI-driven landscape.

Links To Listen:

About The Hosts:

Adel Nehme and Richie Cotton are data science educators at DataCamp. They bring their extensive teaching and industry experience to the podcast, offering listeners valuable insights and learning opportunities.

Listener Review:

“Excellent speakers, key questions, and great breadth.” - Johnny Appleseed1

4. Data Science Salon Podcast by Data Science Salon

Data Science Salon Podcast - data science podcast

Summary:

Data Science Salon Podcast by Data Science Salon offers a deep dive into the trends, techniques, and topics in data science. It features a variety of experts from different industries, providing a well-rounded perspective on the field.

What You'll Learn:

Listeners will explore diverse topics ranging from machine learning to analytics strategies across various industries. The podcast also sheds light on the practical applications of data science in business settings.

Why You Should Listen:

This podcast is ideal for those who want a closer look at how data science is applied in real-world scenarios, offering valuable insights for both beginners and seasoned professionals.

Best Episode:

Building data products with Solomon Kahn - This episode is particularly valuable for data professionals and entrepreneurs interested in the intersection of data science and product development, offering practical advice and industry perspectives on building successful data-driven solutions.

Links To Listen:

About The Host:

The Data Science Salon is organized by a team of industry experts, bringing together a wide range of perspectives and insights.

5. Data Science at Home by Dr. Francesco Gadaleta

Data Science at Home - data science podcast

Summary:

Data Science at Home by Dr. Francesco Gadaleta focuses on the latest trends and developments in machine learning and artificial intelligence, making complex topics accessible and interesting.

What You'll Learn:

The podcast covers a broad spectrum of data science topics, including advanced machine learning techniques, AI ethics, and the impact of AI on society and technology.

Why You Should Listen:

Dr. Francesco Gadaleta brings a unique combination of deep technical knowledge and a talent for explaining intricate subjects in a clear, engaging way. This podcast is a great resource for anyone interested in the technical and ethical aspects of AI and machine learning.

Best Episode:

Open Source Revolution: AI’s Redemption in Data Science - The episode examines the impact of open-source tools on AI research and development, the challenges of maintaining open-source projects, and the balance between proprietary and open-source models in the tech industry.

Links To Listen:

About The Host:

Dr. Francesco Gadaleta is a seasoned data scientist and AI expert, known for his ability to demystify complex technologies. Connect with Dr. Francesco Gadaleta on LinkedIn to find out more.

Listener Review:

“Finally, a podcast that strikes the perfect balance! Easy not easy. Content always up to date and sexy. thumbs uppp!” - Harwillcain

6. Super Data Science by Jon Krohn

Super Data Science - data science podcast

Summary:

Super Data Science by Jon Krohn offers listeners a journey through the world of data science, packed with insights and tips from industry experts and thought leaders.

What You'll Learn:

The podcast addresses various topics, from big data analysis and visualization to data science career advice in the data science field. Listeners get to hear about the latest trends and best practices.

Why You Should Listen:

Jon Krohn combines in-depth knowledge with a passion for teaching, making this podcast both informative and engaging. It's suitable for those new to the field as well as experienced data analysts looking for the latest updates.

Best Episode:

Data Science for Clean Energy, with Emily Pastewka - This episode is particularly insightful for those interested in the convergence of technology and environmental sustainability.

Links To Listen:

About The Host:

Jon Krohn is a data scientist, author, and educator known for his expertise in machine learning and deep learning. Find him on LinkedIn and Twitter.

Listener Review:

“It’s obvious that Jon produces this show with care. I love that he asks all the questions that I’m thinking about. High quality show!” - ATorb

7. The Data Engineering Podcast by Tobias Macey

The Data Engineering Podcast - data science podcast

Summary:

The Data Engineering Podcast by Tobias Macey is a comprehensive platform for discussions on the technical and organizational aspects of data engineering. The podcast dives into how to approach data engineering challenges and the tools used in the industry.

What You'll Learn:

Listeners gain insights into the evolving field of data engineering, including best practices, architectures, and the emerging technologies shaping the future of data handling.

Why You Should Listen:

Tobias Macey brings a depth of knowledge and experience, making this podcast a valuable resource for data engineering professionals and those aspiring to enter this field.

Best Episode:

Designing Data Platforms For Fintech Companies - It features expert discussions on the unique requirements of financial technology firms in handling sensitive financial data, ensuring security, and maintaining regulatory compliance. The conversation also covers innovative approaches to data architecture, analytics, and the integration of emerging technologies like AI and blockchain in fintech.

Links To Listen:

About The Host:

Tobias Macey is a seasoned data engineer with extensive experience in building and managing complex data systems. Find Tobias Macey on LinkedIn.

Listener Review:

“Found this podcast by accident and now can’t do without it. Very knowledgeable host and guesses” - SteveT3ch

8. AI in Business by Daniel Faggella

AI in Business - podcast for data science

Summary:

AI in Business by Daniel Faggella explores the impact of Artificial Intelligence in the business world, offering insights into how AI is transforming industries and creating new opportunities.

What You'll Learn:

This podcast covers various aspects of AI applications in business, from strategy and implementation to the ethical considerations of AI deployment.

Why You Should Listen:

Daniel Faggella provides a unique blend of business acumen and AI expertise, making this podcast an essential listen for business leaders and professionals interested in the intersection of AI and business.

Best Episode:

Scaling Generative AI in the Enterprise - with Harsh Kar of Genpact - Harsh Kar, from Genpact, brings his expertise to discuss how businesses are implementing these advanced AI systems to drive innovation and efficiency. The episode explores the challenges and strategies for scaling AI solutions, the impact on business processes, and the future of AI in the corporate world.

Links To Listen:

About The Host:

Daniel Faggella is an AI entrepreneur and speaker, known for his insights into the applications of artificial intelligence in business and society. Find Daniel Faggella on LinkedIn.

Listener Review:

“Such a hard working and great host!! Subscribed” - Adam (Muzikm4n)

9. Analytics Power Hour by Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer

Analytics Power Hour - podcast for data science

Summary:

Analytics Power Hour by Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer is an engaging podcast that discusses the broad spectrum of topics within analytics and data science.

What You'll Learn:

The show offers a mix of technical discussions, career path advice, and industry insights, making it a comprehensive resource for anyone in the field of analytics.

Why You Should Listen:

With a diverse team of hosts, each episode brings a variety of perspectives and a wealth of experience, making it both informative and enjoyable for listeners at all levels.

Best Episode:

The AI Ecosystem with Matthew Lynley - This AI podcast episode is particularly informative for those interested in understanding the broader context and key players shaping the field of artificial intelligence like ChatGPT.

Links To Listen:

About The Hosts:

Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer are experts in the field of analytics, each bringing their unique experiences and viewpoints to the podcast.

Listener Review:

“Love, love LOVE this podcast! Very entertaining, educational and insightful and presented in a real talk, real world way.” - N/A217

10. Women in Data Science by Margot Gerritsen and Chisoo Lyons

Women in Data Science - podcast for data science

Summary:

Women in Data Science by Margot Gerritsen and Chisoo Lyons is a podcast dedicated to showcasing the achievements and experiences of female data scientists. It aims to inspire and educate listeners through the stories of women making significant contributions to this field.

What You'll Learn:

The podcast offers insights into the journeys, challenges, and successes of women in data science, covering a range of topics from career development to technical advancements.

Why You Should Listen:

For anyone interested in diversity in technology and the empowering stories of women in a traditionally male-dominated field, this podcast is a crucial listen. It not only enlightens but also motivates and encourages inclusivity in data science.

Best Episode:

Fighting Crypto Crime with Data Science - The episode features insights from experts in the field, exploring the challenges of tracing transactions on blockchain networks, the role of AI in monitoring suspicious activities, and the collaboration between regulatory bodies and tech companies to ensure a secure crypto ecosystem.

Links To Listen:

About The Hosts:

Margot Gerritsen and Chisoo Lyons are respected figures in data science, with a passion for promoting gender diversity in STEM fields.

Listener Review:

“Listened to Andrea Gagliano and I loved that episode. I am an artist and a data scientist and I was so thrilled to know it’s possible to marry these two disciplines !! Thank you for putting this together!” - sindhura ponnala

11. Data Futurology by Felipe Flores

Data Futurology - podcast for data science

Summary:

Data Futurology by Felipe Flores is a podcast that dives into the future of data science, featuring interviews with industry leaders and discussions on the latest trends and innovations.

What You'll Learn:

Listeners will gain insights into data strategy, leadership in data science, and the future directions of the industry from experts and practitioners.

Why You Should Listen:

Felipe Flores brings a unique perspective as a data science leader, offering valuable insights for those looking to understand the evolving landscape of data and analytics.

Best Episode:

Navigating the Frontier of Generative AI in Business - The discussion centers on how these advanced AI models are opening new avenues for innovation in various industries, from creating original content to generating novel product designs.

Links To Listen:

About The Host:

Felipe Flores is an experienced data scientist and strategist, known for his expertise in building and leading data teams. Find him on LinkedIn.

Listener Review:

“I have been listening to the podcast for nearly two months. The podcast has provided great value and clear insights about DS applications and best practices. I highly recommend it.” - EricQ77

12. Data Viz Today by Alli Torban

Data Viz Today - podcast for data science

Summary:

Data Viz Today by Alli Torban is a podcast focused on the art and science of data visualization. Each episode features tips, resources, and inspiration to help listeners create more effective and impactful visualizations.

What You'll Learn:

This podcast covers a range of topics in data visualization, including design principles, tool tutorials, and case studies from leading practitioners in the field.

Why You Should Listen:

Alli Torban's expertise in data visualization makes this podcast a valuable resource for anyone looking to improve their skills in visual data communication, from beginners to seasoned professionals.

Best Episode:

How to Come Up with Creative Ideas - The episode explores topics such as the science behind creativity, overcoming mental blocks, and fostering an environment conducive to innovative thinking.

Links To Listen:

About The Host:

Alli Torban is an accomplished data visualization designer and advocate, known for her ability to blend data, art, and storytelling. Connect with her on LinkedIn to find out more.

Listener Review:

“So awesome and nerdy. Best podcast voice ever. Looking forward to starting at episode 1 and working my way up.” - Dr. jackalope

13. The Data Exchange by Ben Lorica

The Data Exchange - podcast for data science

Summary:

The Data Exchange by Ben Lorica is a podcast that focuses on the latest trends in data, learning machine, and AI. It features in-depth discussions with leading experts in the field, exploring a wide range of topics from technical innovations to industry best practices.

What You'll Learn:

Listeners will be exposed to a wealth of knowledge about data technologies and strategies, along with insights into how these technologies are being applied in various industries.

Why You Should Listen:

Ben Lorica's expertise and connections in the field of data science make this podcast a valuable resource for anyone looking to stay on top of the latest developments in data technology and its applications.

Best Episode:

Democratizing Wealth Management With AI - This conversation is particularly relevant for financial professionals, tech enthusiasts, and anyone interested in understanding how AI is breaking down barriers in wealth management and offering more inclusive financial services.

Links To Listen:

About The Host:

Ben Lorica is a seasoned data scientist and industry analyst, known for his deep understanding of emerging data technologies and their impact on business and society. Find Ben Lorica on Twitter.

Listener Review:

“This is my favorite podcast. Love it!” - Johan Mandel

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By Phil Gray

Philip Gray is the COO of Black and White Zebra and Founding Editor of The RevOps Team. A business renaissance man with his hands in many departmental pies, he is an advocate of centralized data management, holistic planning, and process automation. It's this love for data and all things revenue operations landed him the role as resident big brain for The RevOps Team.

With 10+ years of experience in leadership and operations in industries that include biotechnology, healthcare, logistics, and SaaS, he applies a considerable broad scope of experience in business that lets him see the big picture. An unapologetic buzzword apologist, you can often find him double clicking, drilling down, and unpacking all the things.