Read a great interview between SwitchUp and Roberto Reif, Metis Sr. Data Scientist in Seattle. In it, he discusses ideal qualities of Metis students, the strength of the bootcamp curriculum, and much more.
We're excited to announce our second annual Demystifying Data Science conference – free and live online from July 24th-25th. For aspiring data scientists and data-curious business leaders, the conference will consist of 28 interactive data science talks from industry-leading speakers.
In this month's edition of the Made at Metis blog series, we're highlighting two recent student projects that have to do with traveling to new cities. In the first example, a student explored new and improved ways to find places of interest while planning trips. In the second, a student set out to understand how and why musicians sought and found connections via Craigslist.
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.
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 and discusses some of their recent activities and accomplishments.
In this post, Metis Sr. Data Scientist Roberto Reif answers the most frequently asked questions he gets about our data science bootcamp. When should you apply? How can you brush up on your stats skills? What kind of job should you expect to get after the bootcamp? Get answers to these questions and more.
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.
In this, our final Demystifying Data Science video series post, we explore the expansive, fascinating (and sometimes controversial) topic of Artificial Intelligence. Hear from two speakers – one who explores the question "Can a computer imagine?" and another who discusses the importance of detecting and mitigating cultural bias in AI.
In all lines of work, good project management can make the difference between failure and success, but data science projects present some unique challenges. What are they and how should you handle them? Read Metis Sr. Data Scientist Brendan Herger's post on how to use the Scrum paradigm to get projects finished on time and with desired results.
As you enter the bootcamp, your computer screen is like a blank canvas, waiting to be covered with the messy excitement of ideas and projects, failures and successes. Projects are at the core of our Data Science Bootcamp curriculum and the philosophy surrounding it. A robust portfolio, demonstrating a wide understanding of tools and theories, along with a solid grasp of needed industry skills, is the central piece of the overall "why our graduates get hired" puzzle. See some final project examples here.