In this post, Alex Nathan, Co-Founder of Aventrix Analytics and part-time Metis Corporate Training Instructor, asks the question: Does the Data Speak for Itself? As it turns out, the answer is no, because data alone is typically not enough to arrive at any conclusions. The following equation explains the source of discrepancy: DATA + ASSUMPTIONS = CONCLUSIONS. Read on to find out how data scientists can address this issue.
We recently hosted a Q&A about our upcoming, brand new Live Online Data Science Bootcamp. Watch a recording of hosts Josh Shaman (Metis Sr. Admissions Manager) & John Tate (Metis Sr. Data Scientist & Bootcamp Instructor) taking questions about topics like curriculum, career services, online technology, and more.
This is part of a blog series to recap the talks given on Day 2 of our 2019 Demystifying Data Science live online conference. At the time of his talk, Adrian Cartier worked at Bayer, where he led data science efforts. Here, he discusses Bayer's move from cottage industry to industry force by way of a top-down digital transformation.
Many employees feel stuck in jobs where everything is “status quo.” They might feel happy or content at times, but many also have a feeling that there’s more they could be doing to contribute to the company – if they only knew where to start. In this post, we explore the benefits of developing skill paths for your employees, which can drive performance, demonstrate company investment, and increase career satisfaction.
On Thursday, December 5th, you're invited to join us live online for a free webinar on AI ROI: The Questions You Need To Be Asking, hosted by Metis Sr. Data Scientist and Head of Corporate Training Executive Programs.
For the 4th year in a row, we've been selected to SwitchUp's annual Best Data Science Bootcamps list. Based on alumni ratings and reviews, the credit for this accomplishment goes to our team, our instructors, and most of all, to our students and graduates, who work hard each and every cohort and produce amazing work.
In this post, learn how you can gain access to three types of YouTube data: the videos themselves for use in computer vision tasks, the video transcripts for natural language processing (NLP), and video search results for hybrid machine learning efforts.
If such a thing as a “traditional path” to data science exists, bootcamp graduate Alexandra Fox didn’t take it. Instead, she forged her own route, complete with the goal of getting a job as a data scientist immediately after graduation. Find out how she did it and what she's up to now here.
Last week, Metis Sr. Data Scientist Joe Eddy published an article on Course Report titled Pandas in Python: A Guide for Beginners. In it, he explains how Pandas was developed, how it's used by data scientists and within companies worldwide, and how beginners can start learning some basics on their own.
Last week, we had the opportunity to write a guest post for SwitchUp. Titled "Taking Advantage of Metis Career Services During the Bootcamp," it features portions of an interview with Ashley Purdy, Metis Chicago Career Advisor, as well as input from bootcamp graduates.