New blog alert! Metis Sr. Data Scientist Lara Kattan just launched a blog called Updating Priors: Teaching Statistics and Data Science, and her first post is an exciting kickoff and an indication of more good things to come. This time around, she covers "How to Overflow a Stack."
"Let’s get the obvious out of the way," she begins. "You don’t actually want to overflow a stack. But if, like me, you get most of your knowledge these days from stackoverflow.com, you may have wondered about the provenance of that website’s name. While I can’t tell you why they called it Stack Overflow per se, I can tell you what I know about stacks and how to royally screw up your day through a few lines of terrible code."
Her mix of humor and deep knowledge fill the post as she digs into the differences between stacks and heaps and how to best avoid ruining your day by making the wrong moves with either. Read the post in full here – and be sure to check back for future posts!
Learn more about Kattan and the rest of the Bootcamp team here.
While there are a number of ways to enter the data science field, we believe an immersive bootcamp is the most efficient and effective path with the best overall return on investment. But understandably, many people have questions about how a bootcamp will help them navigate the process of landing a job in the field. In this post, we share answers to 5 common questions that we receive from potential applicants.
In partnership with Course Report, Metis Sr. Data Scientist Kimberly Fessel recently hosted a Math for Data Science webinar. During the 40-minute conversation, Kimberly highlights why you need math skills to be a Data Scientist and goes in-depth into which types of math you need to know in order to launch your career and find lasting success.
Throughout the year, we post blog content including alumni stories, data science insights from our Sr. Data Scientists, guest posts, and much more. Check out our top 10 most-read posts of 2019. We hope you enjoy them again or for the first time, and we look forward to producing much more data science content in 2020.