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.
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.
Post 5 of 6 in our series explores data science journeys, stories, and community. Hear how a math major made his way to becoming a data scientist and how harnessing the power of community can push your career forward. Listen in on a talk about going after your data science dreams and enjoy a dose of creativity as one data scientist performs original lyrics set to the tune of an 80's chart-topper.
In this month's edition of the Made at Metis blog series, we're highlighting two recent student projects that focus on the intersection between transportation and data science. One project is a video-based car detector to improve safety for city cyclists, and the other presents a way to better forecast hourly Uber demand across New York City neighborhoods.
Check out four talks that, together, make a useful data science how-to guide. The speakers cover why knowing how things work matters, how to learn data science and deep learning, and how to use A/B testing.
Hear talks from 5 working data scientists on specific aspects of the data science practice (like statistics and the art of deception, the possibilities/limitations of topic modeling) and on the broader ideas that make up the field – what goes into the job, what skills do you actually use on a regular basis, how are things changing?
Read a Q&A with Gordon Dri, Data Scientist at Oracle and the co-designer/co-instructor of our upcoming Live Online Beginner Python & Math for Data Science part-time course, which starts April 23rd. Hear why he thinks this course represents the "the only way" to start your data science journey.