The convenience of podcasts – the fact you can listen to them on the go – makes them an increasingly popular choice when it comes to updating your industry knowledge and hearing direct from experts in the field. They are an excellent way to absorb lots of new information, often in bitesize chunks, while commuting, exercising, cooking or relaxing.
So, if you’re already working in data science, want to study or simply have an interest in data analysis and processing, next time you find yourself with some time to spare, why not check out this selection of top data science podcasts?
Hosted by: Felipe Flores. Founder and host of Data Furology, Felipe is the former Head of Data Science at ANZ bank, a former consultant and currently the Chief Data Analytics and Technology Officer at Honeysuckle Health.
Content: In this podcast, targeted at helping Data Scientists become successful leaders, Felipe interviews some of the world’s leading data practitioners. While the show focuses on the leadership side of artificial intelligence (AI), the content often includes useful bits of advice for how to get started and progress your career in data.
Data Science at Home
Hosted by: Dr Francesco Gadaleta. Francesco is a senior software engineer, chief data scientist, and founder of Amethix Technologies. His interests range from applied math, advanced machine learning, computer programming, cryptography, and blockchain technology. He has worked in healthcare and pharma, energy, and finance domains.
Content: This is a podcast about machine learning, artificial intelligence and algorithms. Francesco hosts the show on solo episodes and interviews some of the most influential figures in the field. Past episodes have covered how to work with unbalanced data, what true machine intelligence might look like, and why we don’t get paid for our data, even though it’s worth thousands of dollars each year.
Looking to share knowledge and ideas with other data science professionals? In-person and online events are a great way to network:
Hosted by: Kyle Polich. A computer science and AI expert, outside of hosting the show, Kyle runs a boutique consulting group that helps small and medium enterprise companies deploy data driven automated solutions in the cloud.
Content: Designed to provide a better understanding of the data-driven world, the podcast discusses and provides an honest perspective on a wide range of topics in statistics, machine learning, big data, artificial intelligence, and data science. Data Skeptic runs in seasons and each season's theme is explored by talking to active researchers and industry professionals.
The Data Engineering Podcast
Hosted by: Tobias Macey. Tobias is a dedicated engineer with experience spanning many years and even more domains. He currently manages and leads the Technical Operations team at MIT Open Learning where he designs and builds cloud infrastructure to power online access to education for the global MIT community.
Content: Tackling a new approach to data management every week, episodes provide useful and informative insights into the projects, platforms, and practices that data engineers, team leaders, and data scientists need to know about to learn and grow in their career. It explores important topics in the area of scaling processing pipelines, deploying databases, maintaining your data lake, and establishing proper governance practices.
The Banana Data Podcast
Hosted by: Christopher Peter Makris (CPM) and Corey Strausman. CPM, a Lead Data Scientist at Dataiku, has a background in Logic, Discrete Mathematics and Statistics. Previous posts include Director of Data Science at the NYC Data Science Academy and Director of Security Data Science at Empower Retirement. Corey is the Community Manager overseeing the Dataiku Community.
Content: A data science podcast with a goal to “demystify and democratize all things within the data science and AI ecosystem”. The podcast will keep you up-to-date on the latest trends and news, with topics ranging from robot pets to scaling Enterprise AI processes, making sense of AI journalism and developing AI models through a responsible and ethical lens.
Women in Data Science (WiDS)
Hosted by: Professor (Emerita) Margot Gerritsen and Cindy Orozco. A professor in the Department of Energy Resources Engineering at Stanford University, Margot is interested in computer simulation and mathematical analysis of engineering and natural processes. Since 2015, she’s acted as Senior Associate Dean for Educational Affairs in the School of Earth, Energy and Environmental Sciences, as well as being the co-founder and co-director of WiDS. Cindy is an applied mathematician who is currently working as a machine learning solutions engineer at Cerebras Systems.
Content: Every episode interviews women who have built a career in data science, sharing their experiences and lessons learned along the way. Alongside these personal journeys, listeners are treated to anecdotal insight into how AI and machine learning is being applied across a range of sectors, from cosmology to human rights.
Want to learn more about data science?
Southampton Data Science Academy offers three part-time, online short courses, which have been developed by world-leading experts in data science:
- AI and Machine Learning for Business introduces the core capabilities of Artificial Intelligence (AI) and teaches you how to apply AI capabilities within your own workplace.
- Fundamentals of Data Science (Technical) develops your basic understanding of programming and experience with Python or similar language, equipping you with the specialist knowledge and technical skills to apply the powerful tools and insights of data science to your work. This course is CPD accredited.
- Fundamentals of Data Science (Non-Technical) offers a practical, hands-on approach for those wishing to learn how to talk about and use data. This course is CPD accredited.