At The Data Incubator we run a free eight-week Data Science Fellowship Program to help our Fellows land industry jobs. We love Fellows with diverse academic backgrounds that go beyond what companies traditionally think of when hiring Data Scientists. Ellen was a Fellow in our Spring 2016 cohort who landed a job with one of our hiring partners, Protenus.
Tell us about your background. How did it set you up to be a great Data Scientist?
As result of my academic trajectory I also learned to write analysis code. I enjoyed coding, and at first I considered it a perk of my particular field of neuroscience that a lot of coding (mostly in Matlab) was necessary for analyzing the large datasets I was collecting. However, I eventually came to appreciate coding in it’s own right and started taking steps to learn new languages and to improve my analyses by incorporating better tools. By this time I had realized that I would be happy doing coding full time, so The Data Incubator was a great segue way to new concepts and tools in the world of data science.
What do you think you got out of The Data Incubator?
What advice would you give to someone who is applying for The Data Incubator, particularly someone with your background?
What is your favorite thing you learned at The Data Incubator?
Could you tell us about your Data Incubator Capstone project?
And lastly, tell us about your new job!
Visit our website to learn more about our offerings:
- Data Science Fellowship – a free, full-time, eight-week bootcamp program for PhD and master’s graduates looking to get hired as professional Data Scientists in New York City, Washington DC, San Francisco, and Boston.
- Hiring Data Scientists
- Corporate data science training
- Online data science courses: introductory part-time bootcamps – taught by our expert Data Scientists in residence, and based on our Fellowship curriculum – for busy professionals to boost their data science skills in their spare time.