Podcasts to learn about data science

The only way known to mankind to display a master of his craft is to study always, to study everywhere. With the advent of podcasts and data science services company, you can gain new experience in traffic, in the gym, or even on a date (not recommended).

Introducing the top podcasts for machine education and data science. The order is arbitrary, knowledge of English is required.

Data Skeptic

One of the various famous plus popular podcasts in our area. The scene count exceeded 200. Published weekly, it covers data science, machine learning, statistics, and artificial intelligence as such. They are not shy about topical and socially important topics such as the use of all these technologies in “fake news”.

The presenters go over the subjects of every episode in detail, allowing audiences to get acquainted with the intricacies of existing approaches and technologies. In addition, it is not uncommon for the microphone to have eminent industry professionals who provide expert advice on issues.

Linear Digressions

Another weekly podcast with a couple of hosts. The themes are the same as those of the “skeptics”, the timing is less – half an hour. The peculiarity of this program is that the creators of the podcast are friends in “real life”, so the program has a very pleasant atmosphere.

This helps the audience understand difficult issues. The presenters try to analyze in detail the various confusing issues, explaining their technological basis and showing examples of possible use. Given the brief duration of the series, you get a digestible summary on every issue, after which you can dig more difficult if you want.

Talking Machines

The creator of this program set herself the aim of popularizing complex technical matters to prevent a new “winter of artificial intelligence”. This is what industry professionals call the waning interest in AI that follows the period of craze for these technologies (as they say in such cases, YOU ARE HERE NOW).

This goal also leads to the presentation of the material, which turns out to be easier than in many other similar programs. The presenters are guided not only by AI specialists, but also by less tech-savvy listeners:

• people from business;
• analysts;
• ordinary ability lovers.

Most utmost of the 40-minute episodes serves the same pattern: production data, conversation with a company in the studio, response to a question from the listener. Since the founder of the podcast came from professional radio, the broadcast has excellent dynamics. Also, her co-host has a professorship, so in the end, the content still meets scientific criteria.

O’Reilly Data Show

The first solo podcast on our list. The presenter works as a leading data scientist in one of the companies, and in every episode, he invites someone from the industry experts to talk.

The timing is 30-40 minutes; the format is technologically advanced but affordable. It is worth noting that in every episode, the presenter speaks about some interesting experiences on the themes. So if you want to meet a lot of the biggest data scientists in the “natural habitat”, this program will help you with it.

Data Stories

The creators have chosen a distinct topic – data visualization. Considering that both presenters are professionally involved in this topic, listeners possess a unique opportunity to obtain acquainted with issues that are rarely presented in open sources.

In every program, a guest is invited to the microphone, with whom there is a conversation about analytics and methods of visual presentation of data. Both presenters are excellent at leading a discussion and reveal each of their interlocutors. Professionals can learn the intricacies of art, and people far from data visualization can learn how much it affects our lives.