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.
Paul Trowbridge, instructor of our upcoming Live Online Statistical Foundations for Data Science & Machine Learning course, discussed the need for a firm stats foundation, talked about his career, and more during a recent Q&A.
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.
Yes, SQL is an old language developed in the 70’s. But many great and lasting technological advances came about in that same decade. For this post, we sat down with Jonathan Balaban, a Metis Sr. Data Scientist who helped develop our Live Online SQL Fundamentals part-time course. He discusses how he and others on the team came to develop this course based on bootcamp graduate feedback, why SQL is important to know, and why it’s likely to continue standing the test of time.