Sr. Data Scientist Roundup: Effects of AI Bias, Impact Hypothesis, and Tips for Hiring Your Data Team
By Emily Wilson • March 26, 2019
When our Sr. Data Scientists aren't teaching the intensive, 12-week bootcamps orcorporate trainingcourses, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.
"We have a great opportunity to lay a better foundation for the future of AI if we encourage more women and people of diverse backgrounds to dive into data science and other AI fields," she writes. "And those of us already on the front lines should use this time to think about how we’ll fight against bias in our own domains. The AI revolution is set to change the world; let’s make sure it’s for the better."
Kerstin Frailey, Metis Sr. Data Science - Corporate Training
Too often we assume that good data science translates to effective data science, even though it's untrue, according to Metis Sr. Data Scientist Kerstin Frailey. In her latest blog post, she writes about The Impact Hypothesis, which she considers the "keystone to transformative data science." In essence, the hypothesis explains how to critically scope and communicate how a project will drive impact for your business, ensuring both good and effective data science occurs.
Brendan Herger, Metis Sr. Data Scientist - Corporate Training
As data continues to change the way companies do business, the task of attracting (and retaining) data science talent can be difficult. In his latest blog post, Metis Sr. Data Scientist Brendan Herger draws from years of experience to provide a playbook for how to effectively and efficiently hire data scientists and build out your team.
From today through October 9th, when you enroll in any of our remaining 2020 Bootcamp Prep Courses, you'll save 33% on tuition. We hope this reduced tuition provides opportunities for those interested in building data science skills in a live online format, taught by industry leaders.
We're proud to be included on Course Report's 21 Best Data Science Bootcamps of 2020 list! To create the list, their team considered both online and in-person bootcamps that teach immersive data science and/or data analytics, looking at alumni reviews, curriculum, and quality of instruction to determine who made the cut.
During a recent webinar with Course Report, Metis Sr. Data Scientist Kimberly Fessel discusses how Python is used for data science, how much Python you should know before starting a data science bootcamp, and more. Watch it here.