DataFramed - Podcast Rankings and reviews

This is pitched for both new and experienced Data Scientists, with episode content designed to have enough for the whole spectrum of listener.

The break up of the core interview with helpful practical interludes is great to stay engaged.

The guests are very experienced and experts in their areas.

Hugo asks helpful clarifying questions during his interviews and spends time summarising and reviewing key concepts we learn during the episode. This helps find practical take aways.

Finally, I love the recurring "most favourite technique" and "call to action" final questions, because they are super practical. Each week I make sure I document and brush up on these—in addition to the interlude suggestions—so I can be mindful to use them in my job as a Data Scientist.

This podcast is the bomb. Hugo is a great host and I absolutely love hearing about what “data sciencey” things people are doing across different industries. I’ve gotten so many useful tidbits (e.g. new techniques, packages) and bigger picture takeaways (e.g. archetypes of data scientists, asking critical questions before beginning an analysis) that I’ve applied in my own work as a data scientist. I recently did an overnight road trip and found listening to the podcast on my drive more effective than coffee at keeping me awake. Sometimes it can get a bit repetitive (same questions between episodes, same concepts emphasized within a podcast) but just when I thought I had heard it all there’s a blooper reel in episode 38 to keep things fresh. Hats off to you Hugo and DataCamp. Please keep up the good work!

DataFramed is a must for aspiring data pros and anyone who wants to understand what data science is all about as a practice. That should cover just about everyone - I’m talking to you managers, leaders and other decision makers!

It’s the highlight of the week for me as I try to become proficient in this field because I learn about the career paths of real working data scientists, leaders in their field. Hugo Bowne-Anderson is an excellent host and interviewer, prompting the guests to talk about their challenges, concerns, and view of the future of the field. It’s a welcome big picture view and break from learning math and coding.

I also learn valuable practical lessons in the short segments that break-up the guest interviews. For example, the last few weeks featured DataCamp’s Emily Robinson’s superb introduction to the Data Science around A/B testing and proper experimentation.

I always learn a lot, and I always recommend DataFramed.

Every aspect of DataFramed is outstanding: Hugo is a great educator, interviewer, etc. and has a clear and resonant voice; the production values are top notch; the guests are wonderful; the form of the podcast is excellent with relevant and informative breaks built in. I don't think I've ever heard another podcast nail everything so well from the earliest episodes. Thank you!