After working as an engineer for 14 years, Carolina Gonzalez decided she was ready to pivot her career toward data science.
"I was very comfortable in my job, but I felt I had plateaued in my learning. I still have 25 years or so left in my working career, so I decided to pivot. I find it very intellectually interesting working with data and turning insights from data into actionable decisions," she recently told Course Report in an interview about why she chose to first take our Beginner Python and Math for Data Science part-time course before applying to the bootcamp.
The interview also touches on her experiences as a current bootcamp student in Seattle. How are her classmates? What kinds of projects does she work on? Did the part-time course give her an edge?
Read the Course Report interview herefor the full story.
Learn more about our Beginner Python & Math for Data Science course here.
As a physicist, TV host, and our Chief Data Scientist, Debbie Berebichez is always up to something interesting. Lately, she's been focused on the relationship between Critical Thinking and Data Science and discussed it on both the DataFramed podcast and the Story By Data YouTube channel. Check out both here.
As we approach another Final Application Deadline (Monday, March 5th!) for Data Science Bootcamps in Seattle, San Francisco, Chicago, and New York City, we sat down with Metis Sr. Data Scientist Jonathan Balaban to ask him about the value of the 12-week program. In this Q&A, he talks about his professional background, why he wishes data science bootcamps had been around when he was learning and pursuing a career, and what students will get out of their time at Metis.
In this post, SwitchUp interviews Brendan Herger, a Metis Sr. Data Scientist based in San Francisco. Find out what he loves about teaching, about his passion for machine learning, and how he helped found Capital One's Center for Machine Learning.