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

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

Want to go deeper? Check out our courses

Course: Python for the Absolute Beginner course

Course: HTMX + Flask: Modern Python Web Apps, Hold the JavaScript

Course: Modern APIs with FastAPI and Python

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 ...

Episode sponsored by

Ads served ethically