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Director's Note: A New Chapter, New Partnerships
By Roberto Reif • July 26, 2022

Exciting things are happening at Metis as we continue to find the best ways to educate people to find value in data.

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Python Guide: Tutorial For Beginners

By Adam Wearne • July 28, 2021

Welcome to a brief introduction to Python. In this article, we'll provide an overview of the Python language, some of its many use cases, how to install Python on your computer, and how to use Python.

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Scoping Data Science Projects

By Damien Martin • July 07, 2021

In February, Metis Sr. Data Scientist Damien Martin wrote a post on how to foster a data literate and empowered workforce, which allows your data science team to then work on projects rather than ad hoc analyses. In this post, he explains how to carefully scope those data science projects for maximum impact and benefit.

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Learn Machine Learning in 6 Months

By Zachariah Miller • May 24, 2021

I came across a question on Quora that boiled down to: "How can I learn machine learning in six months?" I started to write up a short answer, but it quickly snowballed into a huge discussion of the pedagogical approach I used and how I made the transition from physics nerd to physics-nerd-with-machine-learning-in-his-toolbelt to data scientist. Here's a roadmap highlighting major points along the way.

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How One Grad Went From Ed-Tech to Data Scientist at Amazon

By Carlos Russo • May 12, 2021

As an undergraduate with a concentration in pre-med, bootcamp graduate, Ana-Elisa Gentle was on her way towards a career in the medical field. Or so she thought. Learn how she ended up pursuing data science instead.

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How to Build a Data Science Portfolio: The 5 Phases

By Carlos Russo • April 22, 2021

Effective corporate data science portfolios rely on a solid foundation built by identifying challenges, pitching ideas, scoping out pitches, and planning out paths that evolve into strategy success.

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Expand Your Data Science Toolkit with Data Engineering

By Carlos Russo • April 16, 2021

Big data is growing exponentially. To keep up with it, data engineering — a discipline focused on collecting, funneling, and organizing big data into accessible data pipelines — is in urgent demand. Data scientists and other data professionals can fill the gap by extending their capabilities into the world of data engineering with the Data Engineering for Data Scientists Course by Metis Corporate Training. In this course, data science professionals will learn advanced programming, database management, distributed computing, and cloud engineering.

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How to Become a Data Scientist

By Carlos Russo • April 16, 2021

Data science jobs are plentiful in today’s job market. Read on to learn about what data scientists do, what kinds of data science-related jobs are available, and how to become a data scientist.

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Founder’s Note: More Flexible Ways to Learn with Metis

By Jason Moss • April 12, 2021

Today, as we enter the second quarter of 2021, I am excited to share the next step in our evolution. We are building upon our recently launched specialized Live Online bootcamps and short immersive courses by announcing a new Online Flex format that will make our programs more accessible to professionals who want to continue working during the programs, need to prioritize work-family balance, and/or live in a non-U.S. time zone.

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Recent Bootcamp Grad Chats with Course Report

By Carlos Russo • March 19, 2021

Recent bootcamp grad Anterra discusses how Metis helped get her job-ready with the experience and skills she needed to land her first data science role at CarMax.

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