Read about two final projects completed by recent graduates of our data science bootcamp. Susan Fung explored neural networks using Justin Bieber lyrics, while Matt Murray created a song recommendation engine on JunoDownload.
Allison Hegel recently won a scholarship to our Live Online Intro to Data Science course through Women Who Code's weekly publication, CODE Review. Read how she's using what she learned in the course as she pursues a Ph.D. in English.
Apply to the bootcamp by November 30th and receive an invitation to our upcoming exclusive online event featuring Metis Sr. Data Scientist Julia Lintern. Her talk is designed to help the beginner-level data scientist navigate the deep learning landscape.
When our Sr. Data Scientists aren't in the classroom teaching bootcamps, you can find them engaged in corporate training efforts, working on curriculum development, giving talks at conferences and Meetups, writing blog posts on topics of interest, working on data-focused passion projects...and the list goes on. This new monthly blog series will track and discuss some of their recent activities and accomplishments.
Emily Barry’s mind works in two distinct ways – she’s technological and analytics-driven, and she’s also creative to her core. That duality often left her wondering what career path to choose. Eventually, she found her way to data science. Read about her current role and how it satisfies both her tech and creative sides.
Our Chief Data Scientist Dr. Debbie Berebichez was selected to give a keynote address at this year's Grace Hopper Celebration, the largest gathering of women technologists in the world. We're excited to share her inspiring address here. Watch and enjoy!
He wanted to experience it all – every bit of its nearly 2,200 miles, over hills and mountains, through dense woods, and across multiple state lines. When Alan Schoen took six months to hike the Appalachian Trail, he’d just returned to the United States after 10 years of studying and working abroad. He was celebrating some in-between time by accomplishing an ambitious personal goal before diving head first into the competitive job search. And what he found afterward lined up with something he'd learned along the trail.
During a conversation with a former colleague, Lillian Tong had an “aha moment.” As they discussed machine learning and how it could be applied to the work being done at their company, she felt a surge of interest and engagement that she hadn’t experienced in regards to any of her previous work. She took it as a sign.
Lorena De La Parra Landa’s career spans the globe – literally. She began her career in international development before deciding to make the switch to data science. Read why and how she changed career paths and what she's doing to bridge the gap between the two in her new role at the data science firm CKM Advisors.