In this infographic, we break down a data set that’s near and dear to our hearts: one that represents our Data Science Bootcamp alumni. Find out where our grads are working and within what industries, where many of them call home across the United States and the world, what they studied pre-bootcamp, and much more.
Bob Dylan once sang, “Yesterday's just a memory. Tomorrow is never what it's supposed to be.” It’s hard to imagine more prescient words as the world grapples with the difficult, unprecedented, and global impact of the Coronavirus (COVID-19). Our thoughts are with those directly and indirectly impacted. In this post, I share some of the steps we’ve taken as a company to guarantee that we continue to deliver on our promise to help the world find value in data, while keeping our students and staff safe.
For Kari Davis, there’s before the bootcamp, and there’s after. A clear demarcation between two paces of professional life – one slower and more bureaucratic, the other fast-paced and constantly changing. Learn how a Metis Bootcamp Prep Course helped her prepare for the bootcamp and then land a new data science job.
During this upcoming (free!) webinar, hear Mike Galvin, Metis Executive Director of Corporate Training & Kevin Birnbaum, Metis Sr. Data Scientist, break down Python for data science and analytics, explain what's driving adoption in the field, and discuss how industries and companies are reacting to the shift.
When our Data Scientists aren't teaching the intensive 12-week bootcamps or corporate training courses, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.
This post features two projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks, including a project to improve Airbnb's smart pricing tool and another to enhance a karaoke app by creating an added recommendation engine.
In partnership with Course Report, Metis Sr. Data Scientist Kimberly Fessel recently hosted a Math for Data Science webinar. During the 40-minute conversation, Kimberly highlights why you need math skills to be a Data Scientist and goes in-depth into which types of math you need to know in order to launch your career and find lasting success.
Bootcamp graduate Carlie Badder wondered if she’d thrown her career off track by moving cross-country, leaving behind a solid research job. Read how she then found her way to the bootcamp and to a fulfilling career in data science consulting.
Too often in the business world, we think deterministically. We plan our finances, inventories, etc. for the base case – and it usually works out alright. (After all, the base case is the scenario that is most likely to unfold.) A better way to forecast and think about the future is probabilistically - and an intuitive way to do this is via Monte Carlo simulations. Read why here.