Abstract: 

Data science is cool and...messy. Data scientists are called by lots of different names, but they all have one thing in common: they use data to answer questions to support decisions. The process of doing this is varied and complex. You may be excited about jumping into the field, or you may have been doing it for several years and start to wonder where you should go. This talk covers some of the most common questions about the career in data science.

What is data science?
Where should I start if I want to get to data science?
Should I work for a big company or startup?
What is my career path?
What skills are required?

Bio: 

Hui Lin is the head of data science at Netlify where she is leading and building the data science department. Before Netlify, she was a Data Scientist at DuPont. She provided data science leadership for a broad range of predictive analytics and market research analysis from 2013 to 2018. She is the co-founder of Central Iowa R User Group, blogger of https://scientistcafe.com/, and 2018 Program Chair of ASA Statistics in Marketing Section. She enjoys making analytics accessible to a broad audience and teaches tutorials and workshops for practitioners on data science (https://course2019.netlify.com/). She holds MS and Ph.D. in statistics from Iowa State University.