Learning from eight years of data science mistakes - Caitlin Hudon

Over the past eight years of doing data science, I’ve made plenty of mistakes, and I’d love to share them with you -- including what I’ve learned and what I’d do differently with some hindsight. This talk will cover mistakes made during analyses (including communication when delivering results) team and infrastructure mistakes, plus some advice for incoming data scientists.

About the Author

Caitlin Hudon

My name is Caitlin Hudon and I am lead data scientist at OnlineMedEd, a startup in Austin. I have about eight years of experience doing data science-y things in a variety of industries including IoT, marketing, higher education, non-profits, and start-ups. I am also the co-founder of R-Ladies Austin, founder of the ‘ALL the Ladies in Tech’ quarterly happy hour here in ATX, and a member of the Fall 2017 NASA Datanaut class. Outside of data, I love tacos (especially trading taco spots in Austin), traveling (I’ve been to all 50 states and am working on the continents), the Cubs (including Will Ferrell’s Harry Caray impressions), and live music.

Follow on Twitter Follow on Linkedin Visit Website More Content by Caitlin Hudon
Previous Video
Our colour of magic: The open sourcery of fantastic R packages - Miles McBain
Our colour of magic: The open sourcery of fantastic R packages - Miles McBain

What does it mean to say software is, to quote one Twitter user, ‘so f***ing magical!’? In the context of o...

Next Video
Learning and using the tidyverse for historical research - Jesse Sadler
Learning and using the tidyverse for historical research - Jesse Sadler

My talk will discuss how R, the tidyverse, and the community around R helped me to learn to code and create...