Are you ready to dive into the world of Data Science?
Then, Data Science podcasts would be a great way for you to get valuable and up-to-date knowledge in this field with lot’s of fun and very little difficulty from your current day as it is.
One of the biggest perks of a data science podcast is that they – people that have been through an entire process and have valuable lessons for you.
But all in all, podcasts are a great way to slowly get involved into the subject, learn something new and useful, and also have some fun while you are on the go!
We have selected the best of the best Data Science podcasts that the world has to offer , just for you. Are you ready to be captivated with hours of valuable content in the amazing world of data, analysis, machine learning, and artificial intelligence?
Sure? – Let’s go!
This is a great starting point to introduce yourself to the often scary but wonderful world of Data Science. Data Skeptic, hosted by Kyle Polich and Linh Da Tran, produces weekly podcasts, where high-level concepts in data science and machine learning are explained in simple terms. These short 20-minutes episodes also include other, longer interviews of academics and practitioners – in case you want to go there.
# of episodes: 207
Average episode duration: 25 minutes
This weekly podcast, hosted by Katie Malone and Ben Jaffe, would be very useful and exciting for data enthusiasts regardless of their prior knowledge in the field. The hosts make complex topics accessible, especially by showing how different Data Science concepts could be applied to the real-life problems. Is Google capable to predict flu outbreaks faster than the Centers for Disease Control? – you’ll find the answer here.
# of episodes: 174
Average episode duration: 20 minutes
The Super Data Science Podcast
In this data science podcast, you’ll find short 5-10 minutes motivational episodes created by the podcast host, Kirill Eremenko, as well as one-hour interviews with Data Science experts sharing their knowledge, experience, lessons learned, mistakes made, book recommendations and much more – so pick your poison! This podcast especially focuses on career development and applying Data Science in business settings – how data can be applied anywhere. So, if you are interested in variety of life hacks about boosting your career in Data Science, make sure to follow this podcast.
# of episodes: 143
Average episode duration: 8-60 minutes
This is a great podcast on data visualization with Enrico Bertini and Moritz Stefaner. Every other week, the hosts discuss new exciting topics related to data visualization with their guests. They have covered such topics as “Machine Learning for Artists”, “Feminist Data Visualization”, “Visualizing Bitcoin”, and even “Data Sculptures”. So, if you pick this one, you’re going to have lots of fun.
# of episodes: 117
Average episode duration: 40 minutes
This data science podcast presents interesting discussions, led by of Roger Peng and Hilary Parker, about the latest news in data science and data analysis in academia and industry. These are one-hour talks about the issues that most Data Scientists are interested in: “Whether good data analysis can lead to bad outcomes”, “Is there a lack of tools for tracking changes to data”, “Is A/B testing is dead” and many others – so if you have questions in your mind, check this podcast out!
# of episodes: 56
Average episode duration: 60 minutes
The podcast is hosted by O’Reilly Media’s Chief Data Scientist, Ben Lorica, and covers some really interesting topics through interviews with other experts. Although this podcast often get into technical details, it’s still a great way to learn what’s new happening in the world of machine learning and artificial intelligence – so if you’re up to the challenge then head over to O’Reilly’s.
# of episodes: 95
Average episode duration: 40 minutes
Learning Machines 101 was created to give students an easy, fun and accessible introduction to the complex and fascinating world of Machine Learning and Artificial Intelligence. The episodes examine clever questions such as how smart machines impact our everyday life, how do they work, how can we make them even smarter and even more human-like. Something to keep in mind, however, is that Learning Machines 101 often goes deep into some technical topics as well.
# of episodes: 71
Average episode duration: 25 minutes
Talking Machines by Neil Lawrence and Katherine Gorman is a data science podcast that aim to provide insightful discussions covering industry news – along with some renowned experts in the field. These episodes are usually very exciting and not overwhelmed with technical details, most of them, also include questions from the listeners and answers from the experts.
# of episodes: 54
Average episode duration: 50 minutes
This Week in Machine Learning & AI is another option, where you can listen to some interesting interviews to ML & AI experts. The topics covered include deep learning, neural networks, natural language processing and many more. Are you interested in, let’s say: ”Predicting Cardiovascular Risk Factors from Eye Images”? Then check their latest episodes.
# of episodes: 122
Average episode duration: 45 minutes
A truly entertaining podcast, where the hosts Jonathon Morgan, Vidya Spandana and Chris Albon discussed some hot topics in Data Science over a couple of drinks. However, they have unfortunately stopped recording of the new episodes in September 2017. And so, you will not find the latest news here now, but most of their discussions are still worth listening.
# of episodes: 107
Average episode duration: 30 minutes
As you can see, Data Science podcasting is varied, and you can choose the ones that fit you best. The most important thing is to keep learning.
So, what are you waiting for? You definitely don’t want to miss out on this cool opportunity to learn from others in the fun format. Just find your pick and get going!