PyData DC 2016 Talk
I just got back from PydataDC, where I learned a lot, had fun, and met a bunch of awesome people! I’ll definitely write about it more later, but I wanted to share my slides here since I told the attendees they could find them on my website. I got good feedback on the talk, and I’m so glad that my message resonated with some people! The talk was recorded and video should be out within a few weeks! Here are the slides: Becoming a Data Scientist – Advice from my Podcast Guests and the slide notes. Update 10/26: Here is the recording of my talk, with a playlist of other talks from PyData...
“Becoming a Data Scientist” Survey Results 1: Jobs & Education
Here is the 1st batch of results from the Becoming a Data Scientist Survey. Because of the sample size and unscientific casual nature of this survey, we can’t make any broad generalizations about the industry from these results, but you can see some general preliminary trends in the breakdowns that would be interesting to study more.
95% of the 158 respondents who gave answers about their jobs follow at least one of my twitter accounts, so you can think of these results as representing my twitter followers.
I’m mostly going to let the tables and graphs speak for themselves…
Podcast Episodes 0 to 3
It’s been brought to my attention that iTunes only shows the last 10 episodes of the Becoming a Data Scientist Podcast. If you haven’t seen/heard episodes 0-3, you can …
Becoming a Data Scientist Survey
I am collecting information about my “audiences” so I can improve my websites, podcast, and also formulate a plan for a Patreon campaign to generate funds for getting help and to free myself up to create more content. Please fill out the survey and share it with your friends and followers on social media! The survey is a little long/detailed, but most of it is optional. I value your opinions! Thank you so much for participating!! Link to the Becoming a Data Scientist Survey
Boosting (in Machine Learning) as a Metaphor for Diverse Teams
Boosting ensemble algorithms in Machine Learning use an approach that is similar to assembling a diverse team with a variety of strengths and experiences. If machines make better decisions by combining a bunch of “less qualified opinions” vs “asking one expert”, then maybe people would, too.
Becoming a Data Scientist Podcast Episode 13: Debbie Berebichez
In this interview, we meet physicist Debbie Berebichez, who you might recognize from her TEDx talks, her appearances in Discovery Channel’s Outrageous Acts of Science and other TV shows! Debbie grew up in Mexico City and was discouraged by her family and teachers from studying science, but later went on to become the first Mexican woman to get a PhD in physics from Stanford, and is now Chief Data Scientist at Metis Data Science Bootcamp in New York.
Podcast Audio Links:
Link to podcast Episode 13 audio
Podcast’s RSS feed for podcast subscription apps
Becoming a Data Scientist Podcast Episode 12: Data Science Learning Club Members
Verena, David, Kerry, and Anthony are members of the Becoming a Data Scientist Podcast Data Science Learning Club! They appear in the order in which they joined the club, and each discuss their starting points before joining, their participation in the activities, and advice they have for new data science learners.
Podcast Audio Links:
Link to podcast Episode 12 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Podcast on iTunes
Podcast Video Playlist:
Youtube playlist of interview videos
More about the Data Science Learning Club:
Data Science Learning Club Welcome Message