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.
Read Metis co-founder and president Jason Moss's article for IT ProPortal: The Three Leagues of Data Literacy – and How to Play to Win. In it, he explains why data literacy in business is increasingly crucial.
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.
We recently hosted a live Ask Me Anything (AMA) session on our Community Slack channel, with guests asking questions of Paul Black, Metis graduate and Jr. Data Scientist at DRIVIN powered by KAR. Below, we've included some highlights from the AMA session. It makes for a great read, especially for anyone interested in starting their own data science journey.
Course Report recently interviewed Metis Sr. Career Advisor Andrew Savage, seeking his input on how to ace the notoriously strenuous data science interview. They wanted to know: What actually happens in a data science job interview? How can you prepare and what should you expect?
Today, March 8th is International Women's Day, a day to celebrate the social, economic, cultural, and political achievements of women around the globe, but also to highlight inequality and press on toward gender parity and equal rights for every woman, everywhere. This year's theme and call-to-action is #PressforProgress. We asked staff and alumni what that means to them.
This week, Metis Sr. Data Scientist Sophie Searcy's article, How Biased AI is Holding Us Back, and Two Things We Can Do About It, was published in InformationWeek. In it, she expounds upon ideas of increasing access for diverse groups of young people, as well as ensuring the diversification of senior leadership. Read the full article for much more insight and information on the ever-important topic.
This is the 5th and final installment of a series by Metis Sr. Data Scientist Zach Miller dedicated to investigating how Monte Carlo can be a great tool. In it, he discusses using Monte Carlo to measure business impact.