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
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

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