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.
SwitchUp recently sat down with Metis Sr. Data Scientist Alice Zhao, who teaches our 12-week data science bootcamp in Chicago. Read about her favorite student success stories, her advice for those coming into the bootcamp, and much more.
As Viacom's Vice President of Analytics and Measurement Sciences, Sergey Fogelson uses machine learning and artificial intelligence techniques almost every day. In this Q&A, he discusses why he's excited to share his knowledge with students in our upcoming Live Online Machine Learning & Artificial Intelligence Principles course.
Going through a data science bootcamp is an intense experience for everyone involved. Students work at a breakneck pace unparalleled in other learning environments, absorbing new and difficult concepts and skills, and applying them to projects starting as early as week one. All the while, instructors shoulder the hopes and fears of their cohorts as they guide and teach them over the course of 12 weeks. For interested individuals, teaching a bootcamp can have tangible career benefits related to industry goals and aspirations. Read how here.