Watch our on-demand lecture on SVMs featuring Alice Zhao:  Get Recording 

Metis Blog

news

4 Years in a Row! Metis Earns Spot on SwitchUp's Best Data Science Bootcamps List
By Metis • November 12, 2019

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.

filter by category:

ALL

alumni

business resource

careers

community

data science

events

interviews

news

projects

data science
How to Gather Data from YouTube

By Kimberly Fessel • November 11, 2019

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.

alumni
Via Non-Traditional Path, Grad Alexandra Fox Sets & Meets Data Science Goals

By Emily Wilson • November 08, 2019

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.

data science
Course Report Guest Post: Beginner's Guide to Using Pandas for Python

By Metis • November 07, 2019

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.

careers
SwitchUp Guest Post: Taking Advantage of Career Services While at Metis

By Metis • November 05, 2019

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.

data science
Made at Metis: Clustering NBA Playstyles Using Machine Learning; Automatic Pricing on Etsy

By Emily Wilson • November 04, 2019

This post features two final projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks, including these projects on Clustering NBA Playstyles Using Machine Learning and Automatic Pricing for Etsy Sellers.

data science
Sr. Data Scientist Roundup: Pandas for Python, Object Detection Solutions, & More

By Emily Wilson • November 01, 2019

When our Sr. Data Scientists aren't teaching the intensive, 12-week bootcamps or corporate training courses, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.

business resource
Reacting to the New Burtch Works Survey & Python’s Rise in Popularity

By Kevin Birnbaum • October 28, 2019

Metis Sr. Data Scientist Kevin Birnbaum reacts to a new Burtch Works survey about which tools data scientists and analytics professionals prefer to use.

events
ODSC West & Accelerate AI Trainings & Talks from the Metis Team

By Metis • October 23, 2019

Next week in San Francisco (Oct. 30 - Nov. 1), five Metis team members will give talks or host workshops at the Open Data Science Conference (ODSC) West and Accelerate AI Business and Innovation Summit. In this post, read about each, and if you're attending the conferences, be sure to check them out!

business resource
AMA Recap: Become a Better Reader & Designer of Visualizations with Alberto Cairo

By Metis • October 21, 2019

We've all heard the saying, “a picture is worth a thousand words." We believe that visualizations should "simplify information" and that they are powerful because they are “intuitive and easy to read." But what if these are myths? During his AMA, Alberto Cairo (Knight Chair in Visual Journalism at the University of Miami), spoke on how to become better readers and designers of charts, graphs, and maps.

previous page
next page