Excellent speakers, key questions, and great breadth

This is my favorite data science podcast. Please consider making weekly podcasts<3

I’m not sure why, but this podcast is somehow unnaturally speed up. It seems to have been over edited and they cut pauses in a conversation, which makes it difficult to listen to. Pauses, “unms” and okay.

I love this podcast, it’s really the only one I listen to on a regular basis. I go through withdrawals when I don’t have my dataframed fix!

I love this podcast for the information in it; I hate listening to the podcast because it hurts my ears. The recording quality or compression is quite poor and makes it very difficult to listen to.

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.

Dataframed is definitely one of the best data science related podcasts around.

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!

I'm a huge fan of Data Camp and now Data Framed for a while now. I would say that the only aspect that is sometimes a bit much is the voice of the host. I know that should not outweigh the content of the podcast, but at times it is a bit too much for me.

I originally came across DataCamp to learn Python for data science and thought I’d give the podcast a try as well. Both are incredible! Hugo does an incredible job making data science interviews engaging and thought provoking. He really asks great questions and guides the conversation incredibly well. Some day I hope to be as amazing and intrigued as Hugo!