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.
Finding a job is hard. Finding a job when transitioning to a new field, specifically data science, can be even tougher. In this post, I want to share with you some ways to keep you sane and motivated in your job search.
Metis Sr. Data Scientist Chad Scherrer has been exploring Pyro, a recent development in probabilistic programming from Uber AI Labs. In this post, he breaks down the meaning of it all and remarks on the potential.
When our Sr. Data Scientists aren't teaching the intensive, 12-week bootcamps , they're working on a variety of other projects. This monthly blog series tracks some of their recent activities and accomplishments. This month, read about projects covering climate modeling, deep learning, & NLP pipeline management.
Always passionate about the sciences, Susan Fung earned her Ph.D. in Neurobiology from the University of Washington before even thinking about the existence of data science bootcamps . In a recent (and excellent) blog post , she wrote: "My day to day involved designing experiments and making sure I had ...
In an interview with Course Report, current Metis bootcamp student Carolina Gonzalez discussed her decision to take the Metis Beginner Python & Math for Data Science part-time course before applying to the full-time immersive bootcamp.
Take a look around and you might notice some waste. It could come in the form of something physical that you can see or feel or smell. Or it might be invisible to the eye, like wasted time or resources due to lapses in efficiency. Two recent Metis graduates took an interest in these different forms of waste and used data science to come up with ways to minimize negative impact and maximize positive solutions.