Top 10 Podcasts on Data Science

 

Introduction

There is a podcast for everything, from expanding your vocabulary in data science to staying current with industry news, learning new data skills, and even obtaining guidance on landing your first data science job.

 

Whether you're just starting out or a seasoned veteran, listening to any of these below listed podcasts may be a terrific method to develop yourself as a data professional. Also, you may listen while doing other activities like exercise, grocery shopping, or housework while on the move.

 

Podcasts that provide an introduction to data science

These podcasts provide a thorough, high-level overview of a variety of data subjects, regardless of your degree of academic or professional interest in data science. If you're new to data science or want to listen to a variety of podcasts, this is a fantastic place to start.

 

1. Analytics Power Hour

Episode runtime: around one hour

Frequency: Every two weeks

The idea of this podcast is that the most insightful conversations take place over drinks following an event, such as a conference or performance. Each week, co-hosts Michael Helbling, Tim Wilson, and Moe Kiss offer their opinions on a different data-related subject, ranging from the psychology of data analytics to improving the usability of statistics.

 

2. Data Skeptic

Episode length: between 30 and 40 minutes

Frequency: Weekly

Kyle Polich is the host of this well-known data science podcast, which explores a variety of subjects including statistics, machine learning, and artificial intelligence. Little episodes that cover high-level concepts and longer, more in-depth interviews with professional data scientists alternate throughout the collection of about 370 episodes and counting.

 

3. DataFramed

Episode length: 45 to 60 minutes for each episode

Frequency: every two weeks

In this podcast from DataCamp, host Adel Nehme speaks with data leaders from business and academia about the history, present, and future of data science as well as the kinds of issues it can address. Hugo Bowne-Anderson, a data scientist and author, hosted earlier episodes.

 

4. Women in Data Science

Episode length: between 30 and 40 minutes

Frequency: Monthly

Stanford University professor Margot Gerritsen moderates a series of discussions with influential women working in the field of data science. Listening will provide you a broad understanding of how data science is used in a variety of sectors, from music streaming to health care, as well as plenty of practical career advice.

 

5. Podcast with Lex Fridman

Episode Duration: two and five hours

Frequency: Periodically, twice a week.

This podcast, formerly known as "The AI Podcast," no longer focuses just on data science, but it does provide a deeper understanding of the subject and how it relates to philosophy, history, health, and technology in general. Luminaries from a variety of fields, including Saagar Enjeti, Elon Musk, the CEO of Tesla, and Vitalik Buterin, the co-founder of Ethereal, are interviewed by Lex Fridman (political correspondent).

 

6. SuperDataScience

Episode duration: Five-minute (short episodes) to one-hour episodes (full episodes)

Frequency: Periodically, twice a week.

This humorous podcast offers discussions about the methods, tools, and data-driven procedures used in practical data science. Discover more about knowledge graphs, time series analysis, the history of data, or get job-ready with episodes that address resume advice and common misconceptions about a career in data science.

 

7. Data Futurology

Episode Duration: About 30 to 45 minutes each episode

Frequency: Weekly

This podcast, which is hosted by data science executive Felipe Flores, features conversations with some of the top data practitioners in the world. Despite the fact that the show's focus is on the leadership aspects of artificial intelligence (AI), its programming frequently contains helpful tips on how to get started in—and succeed in—the vast universe of data.

 

8. The Artists of Data Science

Episode length: 90 minutes to an hour

Frequency: Weekly (or more)

This podcast only discusses data scientists' personal growth. Each episode is packed with guidance on how to advance professionally, maintain knowledge, and uphold ethical data practices. Interviews and "happy hours" where listeners may ask questions on anything relevant to data science are interspersed throughout each episode.

 

9. Not So Standard Deviations

Episode length: 20 to over an hour

Frequency: Two to three times every month.

The discussion of recent business news is co-hosted by Hilary Parker, a data scientist at Stitch Fix, and Roger Peng, a professor of biostatistics at the Johns Hopkins Bloomberg School of Public Health.

 

10. Data Science at Home

Episode Duration: About 20 to 40 minutes each episode

Frequency: One or two times every week.

Dr. Francesco Gadaleta interviews leading experts in the field of artificial intelligence for his book Data Science at Home, which covers subjects in machine learning, AI, and algorithms. Previous episodes have discussed topics such as how to deal with uneven data, what actual machine intelligence may entail, and why we aren't compensated for our data despite the fact that it is worth hundreds of dollars annually.

 

Conclusion

A podcast is similar to a news collection that is accessible from any location. These are some carefully chosen data science podcasts to help you choose your next listening. The greatest benefit of podcasts is that they direct us away from conventional resources. You may get your daily knowledge fixed and conclude the day with fresh information you learned from a data science podcast by listening to one. Skillslash is one platform where you can learn all aspects of Data Science so in the days to come, you may approach a podcast to speak on your knowledge and experience. The most vital information for students and enthusiasts who wish to succeed in this sector is crammed into courses like Business analytics and Advance Data Science & AI, provided by Skillslash.