Learn Python with Talk Python's Python courses

Paths into a data science career

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

This episode is carbon neutral.
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
DataCamp:: datacamp.com
DataFramed (Hugo's podcast): datacamp.com

Conferences to check out
All pydata conferences!: pydata.org (forgot to mention these)
Odsc: odsc.com
Aggregated lists (see what interests you): E.g. kdnuggets.com/meetings

Select Data Science blogs/online resources
DataCamp community: datacamp.com/community/tutorials
Kdnuggets: kdnuggets.com
O'Reilly data science blog: oreilly.com/topics/data
Fast Forward Labs blog: blog.fastforwardlabs.com
Episode transcripts: talkpython.fm

Stay in touch with us
Subscribe on YouTube (for live streams): youtube.com
Follow Talk Python on Twitter: @talkpython
Follow Michael on Twitter: @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
X
Become a friend of the show
Stay in the know and get a chance to win our contests.
See our privacy statement about email communications.