The world of data science, artificial intelligence, and machine learning moves fast. Whether you’re working in the field or just staying informed, keeping up with the latest trends, techniques, and industry insights is crucial. Fortunately, podcasts offer an easy way to stay updated while commuting, exercising, or taking a break.
In a recent conversation with fellow data leaders, a colleague posed a question about what podcasts to listen to. Here’s a (personal) curated list of some of the best data-focused podcasts, covering everything from Python programming and AI advancements to data visualisation and statistics. Please remember that this list is based on my own listening. If you have any podcasts that you think I should listen to (and hence include in the list), please let me know.
The Real Python Podcast
Python is the lingua franca of data science, and The Real Python Podcast is an excellent resource for both beginners and experts. It covers Python best practices, new libraries, and practical coding advice.
Expect:
- Interviews with Python developers
- Tips on writing clean, efficient Python code
- Discussions on machine learning and automation
- Best for: Python programmers, data scientists, and ML engineers.
Storytelling with Data Podcast
Good analysis means nothing if you can’t communicate insights effectively. Hosted by Cole Nussbaumer Knaflic, Storytelling with Data explores techniques for making data tell a story.
Expect:
- Lessons on effective data storytelling
- Case studies from real-world data communication
- Tips on avoiding common data presentation mistakes
- Best for: Analysts, business intelligence professionals, and presenters.
Practical AI: Machine Learning, Data Science, LLMs
For a pragmatic approach to AI, Practical AI covers real-world applications of machine learning, AI engineering, and large language models (LLMs).
Expect:
- Hands-on discussions about ML tools and techniques
- Applications of AI in different industries
- Insights from AI practitioners
- Best for: AI engineers, data scientists, and tech leaders.
Half Stack Data Science
A podcast dedicated to real-world data science challenges, Half Stack Data Science discusses best practices, ethics, and strategies for building data-driven products.
Expect:
- Practical applications of data science
- Discussions on ethical AI and responsible data practices
- Insights from data science professionals
- Best for: Data scientists, engineers, and product managers.
More or Less: Behind the Stats
This BBC-backed podcast takes a statistical approach to understanding current events. It’s perfect for anyone who loves numbers and wants to separate data-driven facts from misinformation.
Expect:
- Fact-checking through statistical analysis
- Breakdown of numbers behind news stories
- Engaging, accessible explanations of statistics
- Best for: Statisticians, journalists, and anyone curious about numbers.
Python Bytes & Talk Python To Me
Both Python Bytes and Talk Python To Me are great for staying updated on Python trends, frameworks, and applications in data science.
Expect:
- Python news and updates
- Interviews with developers and data scientists
- Practical coding tips
- Best for: Python enthusiasts, developers, and data scientists.
The TWIML AI Podcast
Previously This Week in Machine Learning & AI, this podcast by Sam Charrington features in-depth discussions with AI researchers and practitioners.
Expect:
- Cutting-edge AI research
- Deep technical discussions
- Insights from industry and academia
- Best for: AI researchers, ML engineers, and tech strategists.
🔍 Data Skeptic
If you’re sceptical about AI hype and want a more analytical perspective, Data Skeptic is for you. It covers AI, data science, and statistics with a critical approach. Disclaimer: I have participated in a recording (but the episode may not be available…)
Expect:
- Data, ML and AI myths vs. reality
- Deep dives into statistical methodologies
- Interviews with data science experts
- Best for: Critical thinkers, researchers, and AI sceptics.
Whether you’re looking for technical deep dives, practical applications, or high-level AI discussions, these podcasts provide a rich mix of perspectives. Subscribe to a few, stay informed, and keep pushing the boundaries of what’s possible with data!
Which of these are you already listening to? Any other great ones I should add to the list? Let me know in the comments! 🚀🎧