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.
Looking for a way to transition from consultant to data scientist, Tiffany Li turned to the Metis Data Science Bootcamp in Chicago. She's now a Data Scientist at GrubHub and was recently interviewed by Course Report about her career switch, the bootcamp vs. graduate school, and her current role.
We’re proud to announce that Metis is now approved to offer GI Bill benefits to student veterans who are accepted to our data science bootcamp in New York City. Learn more in this post, including how the process works.
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.
Metis Sr. Data Scientist and Corporate Trainer David Ziganto posted a simple question on LinkedIn along with a picture of his personal collection of data science books. "Help me out: which great books am I missing?" Nearly 100 comments later, David now has an incredible list of additional books to explore. He aggregated all into a categorized list on his blog, which you can check out here.