Description:The Data Science Salon series is a unique vertical focused conference which brings together specialists face-to-face to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. In this podcast, the Senior Content Advisor Q McCallum holds deep, engaging interviews with guests ranging from DSS speakers, authors of data science books, and professionals whose work interacts with the AI world. All of them bring their unique perspective on trends and business use cases in the world of data science, machine learning, and AI.
Description:Data Skeptic is one of the best-known data science podcasts. This weekly show explores topics in data science, statistics, machine learning and artificial intelligence.
Hosted by Kyle Polich, the show is going strong with over 200 episodes for listeners to dive into. Recently, the show has released series of themed episodes that revolve around a larger topic in the data science world, like fake news.
The episodes alternate between interviews with industry professionals and minisodes that explain high-level data science concepts. The minisodes are co-hosted by Linh Da Tran, who talks with Kyle about data science topics, like natural language processing and k-means clustering. Listeners gain a better understanding of the topic as the hosts talk through it.
Description: Want to learn more about data science, artificial intelligence, machine learning, and deep learning—and how they’re changing our world for the better? Then you’ll want to tune into the Data Crunch podcast. Over the course of fairly short episodes, the Data Crunch podcast presents discussions with various entrepreneurs and data experts about their experiences employing new technologies. The great thing about this show is that it’s accessible to a wide audience, despite covering some rather technical topics. It’s also pretty varied, covering everything from data and public health to social media and machine learning, to drones and AI—to name just a few. A definite must-listen if you’re passionate about all things data and tech.
Description:DataCamp's official podcast. Presented by Adel Nehme.
Data science and machine learning are making the impossible possible—whether it is awe-inspiring results from language models, or huge gains in computational biology. However, as data science is increasingly democratized, it’s also making the possible widespread and there is still so much to uncover. In this podcast by DataCamp, Adel Nehme will interview data leaders from industry and academia on the latest thinking on all things data. From how to lead data teams to the importance of improving data literacy, we’ll cover all the latest trends and insights on how to scale the impact of data science in organizations.
Description:A key component of a data analyst’s work is storytelling through visualization—presenting insights in the form of graphs and charts, for example. While many podcasts focus on topics such as machine learning and AI, Data Stories is unique in that it focuses on data visualization. That’s not to say that Data Stories doesn’t provide rich and varied insights; far from it! With the help of special guests, hosts Enrico Bertini and Moritz Stefaner discuss how data affects our lives. Data Stories will take you on an exciting journey through many different aspects of data visualization, such as cognitive science, immersive analytics, and satellite imagery.
Description: Women are typically underrepresented in data science, so it’s especially important to amplify their voices, celebrate their contributions to the field, and highlight them as role models for future generations. Hosted by Professor Margaret Gerritsen of Stanford University, the Women in Data Science podcast sees leading women in data science share their work, advice, and lessons they’ve learned throughout their lives and careers. This is a must-listen for anyone interested in hearing about how data science is being applied to, and transforming, a wide range of domains—from healthcare and finance to cosmology, human rights, and more.
Description: The SuperDataScience podcast is hosted by Kirill Eremenko, a data science coach and lifestyle entrepreneur. Kirill serves up a great mixture of both technical know-how and more general life and career advice—essentially everything you need to build a successful career in the data industry. Episodes range from explaining technical concepts such as cohort analysis, Python, and SQL programming, to providing broader industry insights—for example, exploring the difference between a data analyst and a data scientist, and discussing the best way to network within the data field.
Description: Not so standard deviations is a podcast hosted by Hillary Parker and Roger Peng. The podcast mainly focuses on the new introductions in the data science and analytics industry. It is necessary to know about the recent developments if you wish to flourish in the industry.
Description: Francesco Gadaleta wants to make machine learning easy for everyone. In this podcast, he alternates between interview episodes with industry experts, and solo episodes where he discusses a topic on his own.
The show doesn’t seem to be on a fixed schedule, and the episode length varies as well, but in general the interview episodes run closer to an hour, while his solo episodes clock in at around twenty minutes.
The host is pretty opinionated, so it can be interesting to hear his perspective on topics like AI winter, optimization, and the minimum requirements you need to become a data scientist.