Monitor performance issues & errors in your code

Paths into a data science career

Episode #139, published Wed, Nov 22, 2017, recorded Tue, Nov 7, 2017

Data science is one of the fastest growing segments of software development. It takes a slightly different set of skills than your average full-stack development job. This means there's a big opportunity to get into data science. But how do you get into the industry?

That's what Hugo Bowne-Anderson is here to tell us all about.

Links from the show

Hugo on twitter: @hugobowne
DataFramed (Hugo's podcast):

Conferences to check out
All pydata conferences!: (forgot to mention these)
Aggregated lists (see what interests you): E.g.

Select Data Science blogs/online resources
DataCamp community:
O'Reilly data science blog:
Fast Forward Labs blog:
Episode transcripts:

--- Stay in touch with us ---
Subscribe to us on YouTube:
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy

Want to go deeper? Check out our courses

Hugo Bowne-Anderson
Hugo Bowne-Anderson
Hugo is a Data Scientist at DataCamp, an interactive learning platform for data science, where has has done data journalism, spearheaded the Python curriculum, and evangelized data science in general. In January 2018, he'll launch a podcast for DataCamp called DataFramed, in which he'll explore what types of questions and challenges data science can solve, with experts from industry and academia.
Episode sponsored by
Ads served ethically
Talk Python's Mastodon Michael Kennedy's Mastodon