Submit your application by Sunday night to save $1,000. Apply Now

Blog

Category: data science

Ga2pkr0mqayfmldr67ox
data science

"How to Overflow a Stack" by Metis Sr. Data Scientist Lara Kattan

By Metis • November 28, 2018

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."

data science Fuxhhiddtvctjccm4o1m
[VIDEO] SwitchUp Webinar: Getting Started in SQL

By Metis • November 16, 2018

SwitchUp hosted a Getting Started in SQL webinar featuring Metis Sr. Data Scientist Jonathan Balaban.  During the nearly 40-minute recorded webinar, you'll hear Jonathan discuss what SQL is used for, why it's so important to your data science success, which companies are using it, and how you can learn it as a total beginner.

data science Inwhvafzsdaafhufh2dt
SDS Roundup: Importance of SQL for Job Prep, Deep Learning Cheat Sheet, & More

By Emily Wilson • November 14, 2018

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.

data science Zg9q2xdtrwkbvpc0p5v9
Metis Team Workshops, Trainings, & Talks at ODSC West & Accelerate AI

By Emily Wilson • October 28, 2018

On Thursday, November 1st, three members of the Metis team will present at the Open Data Science Conference/Accelerate AI in San Francisco. Read about their talks, which cover a range of topics like text analytics, practical data science, and using PyTorch for deep learning.

data science 37wtv710rvmfs4yuzdmi
Three Years Running! Metis Earns SwitchUp's Best Bootcamp Award

By Metis • September 24, 2018

We're proud to announce that we've been named Best Data Science Bootcamp by SwitchUp for the third year in a row! The credit for this accomplishment (which is based on alumni reviews, ratings, and course data populated on SwitchUp throughout the year) can be spread around to so many. Read our thank-you note and check out some alumni reviews here.

data science 3otlul8yq0cngsroc72c
Top 4 Reasons to Take a Live Online Data Science Course

By Metis • September 19, 2018

What makes live online courses such a great way to begin on your data science educational path? Read here to find the Top 4 Reasons to give them a try.

careers data science Amownjnqywx4p38xvmpa
Tips For Maintaining a Positive Attitude During Your Job Hunt

By Ashley Purdy • September 13, 2018

Finding a job is hard. Finding a job when you are transitioning into a new field, specifically data science, can be even tougher. And if you are methodical and like to do your research before jumping into a big task like a career transition you’ve probably found plenty of articles that discuss how to put a resume together, or prepare for an interview. But this is not one of those articles. Instead, I want to share with you some ways to keep you sane and motivated in your job search. Because a big part of a successful interview is showing up energized and with a positive attitude, but when those job search blues hit (and, trust me, we’ve all been there) it can be difficult to put on a happy face. So here are some things you can do to overcome your frustrations and maintain a positive attitude in your job search.

data science Vlqqxq1fqd2wkkdctphs
"A Prelude to Pyro" by Metis Sr. Data Scientist Chad Scherrer

By Metis • August 31, 2018

Metis Sr. Data Scientist Chad Scherrer has been exploring Pyro, a recent development in probabilistic programming from Uber AI Labs. In this post, he breaks down the meaning of it all and remarks on the potential.

data science Inwhvafzsdaafhufh2dt
Sr. Data Scientist Roundup: Climate Modeling, Deep Learning Cheat Sheet, & NLP Pipeline Management

By Emily Wilson • August 21, 2018

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 some of their recent activities and accomplishments. This month, read about projects covering climate modeling, deep learning, & NLP pipeline management.

data science Cvkudf4s5gshtyhwyvrr
The Value of a Bootcamp Education (vs. Academia & MOOCs)

By Metis • July 30, 2018

Data science is booming and the appeal of positions in the field is eliciting unprecedented interest. But as many across disciplines are trying to maneuver into the field, they quickly find a skills-gap they need to overcome – and the job search will be a significant challenge even after those skills are acquired. Metis Senior Admissions Manager Josh Shaman tackled his weighty topic in a recent article for SwitchUp, through which he compares the value of an immersive bootcamp experience to university programs to massive open online classes (MOOCs).

data science Busz7z63qjqst1avw4jt
Impact of Sample Size on Transfer Learning

By Roberto Reif • July 05, 2018

In this post, Metis Sr. Data Scientist Roberto Reif explores transfer learning, a method of using a deep learning model that has already been trained to solve one problem containing large amounts of data, and applying it (with some minor modifications) to solve a different problem that contains small amounts of data. He analyzes the limit for how small a data set needs to be in order to successfully apply this technique.

data science Yzuf4ceyryzongm2uqx2
Check Out Five Passion Projects Created by Metis Sr. Data Scientists

By Metis • June 21, 2018

Metis Sr. Data Scientists teach our 12-week data science bootcamps, work on curriculum development, present at conferences, perform corporate training, and more throughout a rotating yearly schedule. Built into that is a passion quarter, during which each works on a project that suits their interests and allows them to dig deeply into a facet of data science. Read here to learn about two recently wrapped three and three ongoing passion projects.

data science Dc4ufysb6nfobodcswwq
Sr. Data Scientist Roundup: Bayesian Optimal Pricing, Neural Networks, and Using Scrum

By Emily Wilson • May 29, 2018

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.

data science Oksgwzcjsxqxa2d4xfid
Frequently Asked Bootcamp Questions, Answered by a Sr. Data Scientist

By Roberto Reif • May 24, 2018

In this post, Metis Sr. Data Scientist Roberto Reif answers the most frequently asked questions he gets about our data science bootcamp. When should you apply? How can you brush up on your stats skills? What kind of job should you expect to get after the bootcamp? Get answers to these questions and more.

data science Tmvpbijcrwkbawa8mchz
Video Series – Demystifying Data Science: Exploring Artificial Intelligence

By Emily Wilson • May 16, 2018

In this, our final Demystifying Data Science video series post, we explore the expansive, fascinating (and sometimes controversial) topic of Artificial Intelligence. Hear from two speakers – one who explores the question "Can a computer imagine?" and another who discusses the importance of detecting and mitigating cultural bias in AI.

data science Wo4ynarxqgnln1mdkmrr
Using Scrum for Data Science Project Management

By Emily Wilson • May 15, 2018

In all lines of work, good project management can make the difference between failure and success, but data science projects present some unique challenges. What are they and how should you handle them? Read Metis Sr. Data Scientist Brendan Herger's post on how to use the Scrum paradigm to get projects finished on time and with desired results.

data science Gt7lcluhqpkumi0pxd6l
Video Series – Demystifying Data Science: Journeys, Stories, and Community

By Emily Wilson • May 01, 2018

Post 5 of 6 in our series explores data science journeys, stories, and community. Hear how a math major made his way to becoming a data scientist and how harnessing the power of community can push your career forward. Listen in on a talk about going after your data science dreams and enjoy a dose of creativity as one data scientist performs original lyrics set to the tune of an 80's chart-topper.

data science Talbh2obto1fnz08qwhe
Video Series – Demystifying Data Science: A Data Science How-To Guide

By Emily Wilson • April 23, 2018

Check out four talks that, together, make a useful data science how-to guide. The speakers cover why knowing how things work matters, how to learn data science and deep learning, and how to use A/B testing.

data science Wbsu1ekirnskf2blwrwo
Data Science Book Recommendations: A Crowdsourced List

By Emily Wilson • April 16, 2018

Metis Sr. Data Scientist and Corporate Trainer David Ziganto posted a simple question on LinkedIn along with a picture of his personal collection of data science books. "Help me out: which great books am I missing?" Nearly 100 comments later, David now has an incredible list of additional books to explore. He aggregated all into a categorized list on his blog, which you can check out here.

data science Vxchvqutbealqz22mcxc
Video Series: Demystifying Data Science – The Practice of Data Science

By Emily Wilson • April 12, 2018

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?

data science Guw5qjhqdypm25pq7hna
Q&A with Beginner Python & Math for Data Science Instructor Gordon Dri

By Jerod Rubalcava • April 11, 2018

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.

data science Wfn5wm4nrfmpy7fp349g
Sr. Data Scientist Jonathan Balaban's Piece on Turi Create in Towards Data Science

By Emily Wilson • April 08, 2018

Read Sr. Data Scientist Jonathan Balaban's piece in Towards Data Science: 3 Questions Business Leaders Should Be Asking About Apple's New Machine Learning Kit.

data science Dc4ufysb6nfobodcswwq
Sr. Data Scientist Roundup: Turi Create Analysis, New Course Development, and More

By Emily Wilson • April 05, 2018

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.

data science 3hk2nqpst424qtvgl4an
How Biased AI Holds Data Science Back (+ Ways to Fix It) by Sr. Data Scientist Sophie Searcy

By Emily Wilson • March 06, 2018

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.

data science Oxwkeskdsrmxxaw5luvc
What is a Monte Carlo Simulation (Part 5)

By Zachariah Miller • March 01, 2018

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.

data science Tpybd1f5tgko7sfwcemy
How Business Leaders Can Keep Up With The Latest AI

By Emily Wilson • February 27, 2018

Metis Sr. Data Scientist Seth Weidman wrote an article for VentureBeat called 4 Deep Learning Breakthroughs Business Leaders Should Understand. In it, he asks a crucial question, "how can business leaders keep up with the latest AI to improve their performance?" Read his answer and find out how it ties into our Corporate Training offerings.

data science interviews Urfddwfbr0yp4fv64rn9
As Bootcamp Deadline Approaches, Sr. Data Scientist Discusses Value of Immersive Learning

By Emily Wilson • February 26, 2018

As we approach another Final Application Deadline (Monday, March 5th!) for Data Science Bootcamps in Seattle, San Francisco, Chicago, and New York City, we sat down with Metis Sr. Data Scientist Jonathan Balaban to ask him about the value of the 12-week program. In this Q&A, he talks about his professional background, why he wishes data science bootcamps had been around when he was learning and pursuing a career, and what students will get out of their time at Metis.

data science 4rxnrt0qs3m7ydensa6b
What is a Monte Carlo Simulation? (Part 4)

By Zachariah Miller • February 23, 2018

In Part 4 of our ongoing series on the Monte Carlo Simulation, Metis Sr. Data Scientist Zach Miller asks and answers the question: "How do physicists use Monte Carlo to simulate particle interactions?"

data science 09l8arubtgeusfs3zcsr
Video Series: Demystifying Data Science – Breaking Down Data Science Roles

By Emily Wilson • February 22, 2018

In the second installment of our Demystifying Data Science Video Series, you'll hear talks from three working data scientists about their roles, their ideas of what makes a data scientist, and what you should know about the complex, evolving, exciting field.

careers data science 2ilfektlsqx0tjn2paww
Metis Bootcamp Hidden Benefits

By Grace Gardner • February 16, 2018

You might already know that the Metis Data Science Bootcamp is a full-time, twelve-week intensive experience that hones and expands skills brought in by our competitive student cohorts. You’re probably already aware that upon graduating, students have completed rigorous training in machine learning, ...

careers data science Iqlfwb6rlw0k2k5xpk6y
Video Series: Demystifying Data Science – Launching Your Data Science Career

By Emily Wilson • February 14, 2018

Back in September 2017, we hosted a free, live online conference featuring 12 straight hours of data science talks from more than 25 of the industry's best and brightest speakers. Demystifying Data Science was an awesome day of insights, advice, information, and interaction for aspiring data scientists. To share it all, we've broken the collection of recordings into a six-part blog series, of which this is the first.

data science Gqybpg1hr2k69udqj3uu
What is a Monte Carlo Simulation? (Part 3)

By Zachariah Miller • February 12, 2018

In Part 3 of his series, Metis Sr. Data Scientist Zach Miller tries to outsmart a casino using Monte Carlo techniques. Will it work?

data science Inwhvafzsdaafhufh2dt
Sr. Data Scientist Roundup: Blogs on Deep Learning Breakthroughs, Object-Oriented Programming, & More

By Emily Wilson • February 08, 2018

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.

data science interviews Gtg01ktqc6hibp8pvccg
Instructor Sergey Fogelson on the Importance of Grasping Machine Learning & AI Principles

By Emily Wilson • February 01, 2018

As Viacom's Vice President of Analytics and Measurement Sciences, Sergey Fogelson uses machine learning and artificial intelligence techniques almost every day. In this Q&A, he discusses why he's excited to share his knowledge with students in our upcoming Live Online Machine Learning & Artificial Intelligence Principles course.

data science T2cbedp6sgaocarymjnv
What is a Monte Carlo Simulation? (Part 2)

By Zachariah Miller • January 30, 2018

In part 2 of Metis Sr. Data Scientist Zach Miller's exploratory series on the Monte Carlo tool, he goes over how to implement it in Python.

data science Ebxg5wqmqaiqzkkccfgg
What is a Monte Carlo Simulation? (Part 1)

By Zachariah Miller • January 30, 2018

One of the most powerful techniques in any data scientist's tool belt is the Monte Carlo Simulation. It's flexible and powerful since it can be applied to almost any situation if the problem can be stated probabilistically. However, Metis Sr. Data Scientist Zach Miller has found that for many, the concept of using Monte Carlo is obscured by a fundamental misunderstanding of what it is. To address that, he's put together a series of small projects demonstrating the power of Monte Carlo in a few different fields.

data science Eddxatv8sb6xkflhcoly
Dear Aspiring Data Scientists, Just Skip Deep Learning (For Now)

By Zachariah Miller • January 18, 2018

There's no arguing it – deep learning can do some truly awesome stuff. But hear our Sr. Data Scientist Zach Miller out. When training to be an employable data scientist, these skills aren't necessary – at least not right away. Read his post to learn why.

data science Inwhvafzsdaafhufh2dt
Sr. Data Scientist Roundup: Linear Regression 101, AlphaGo Zero Analysis, Project Pipelines, & Feature Scaling

By Emily Wilson • January 11, 2018

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.

data science interviews T7bznah2s5c0ro7efupy
Paul Trowbridge on the Importance of Having a Solid Stats Foundation

By Emily Wilson • January 05, 2018

Paul Trowbridge, instructor of our upcoming Live Online Statistical Foundations for Data Science & Machine Learning course, discussed the need for a firm stats foundation, talked about his career, and more during a recent Q&A.

data science 4qpcexolqeqxc2zursye
Best Practices for Applying Data Science Techniques in Consulting Engagements (Part 2): Scoping and Expectations

By Jonathan Balaban • December 12, 2017

In the second installment of this series, Metis Sr. Data Scientist Jonathan Balaban provides four key strategies to unify stakeholders across your next data science consulting effort, whether you're working with a Fortune 50 firm or a small business of 50 staff members.

data science Dc4ufysb6nfobodcswwq
Sr. Data Scientist Roundup: Postsecondary Data Science Education Roundtable, Podcasts, and Three New Blog Posts

By Emily Wilson • December 07, 2017

Find out what Metis Sr. Data Scientists have been up to recently, including a presentation at an exclusive roundtable of data science educators and thought leaders, being featured on a podcast, and writing new and engaging blog content.

data science 4qpcexolqeqxc2zursye
Best Practices for Applying Data Science Techniques in Consulting Engagements (Part 1): Introduction and Data Collection

By Jonathan Balaban • December 05, 2017

This is part 1 of a 3-part series written by Metis Sr. Data Scientist Jonathan Balaban. In it, he distills best practices learned over a decade of consulting with dozens of organizations in the private, public, and philanthropic sectors. Enjoy part 1, and stay tuned for more in the coming weeks.

data science 0vkcvdtwi0ga8nrwslma
Do You Even Data Science?

By David Ziganto • August 14, 2017

"The field is sprawling and there’s room for everyone," writes Metis Sr. Data Scientist David Ziganto. Read on for more about his view of what it takes to be a data scientist.

data science 5iifowqsqog8bedx4n1i
How To Ace The Data Science Interview

By David Ziganto • July 25, 2017

There’s no way around it. Technical interviews can seem harrowing. Nowhere, I would argue, is this truer than in data science. There’s just so much to know. What if they ask about bagging or boosting or A/B testing? What about SQL or Apache Spark or maximum likelihood estimation? Sr. Data Scientist David Ziganto provides 7 must-read tips for acing your next interview.

data science Ptjbihntlof3oex9zvoj
Displaying Images in Tableau (with some help from Python)

By Roberto Reif • July 24, 2017

With Tableau, one of the cool things you can do is define every pixel from an image. This allows you to create interesting visualizations as described in this blog post by Sr. Data Scientist Roberto Reif.

data science Dxnabcp4q22ibp6ulzry
Faster Python - Tips & Tricks

By David Ziganto • July 14, 2017

There is a plethora of information about how to speed up Python code. Some strategies revolve around leveraging libraries like Cython, whereas others propose a “do this, not that” coding approach. There exist many “do this, not that” strategies but I decided to focus on just a few. This post is split into two parts. In Part 1, I will compare two approaches commensurate with the “do this, not that” logic to see if there is a substantial difference and, if so, which approach is better. In Part 2, I will compare Python 2 and Python 3 to see if there is credence to the claim that Python 3 is indeed faster.

data science Xksu4lettumf5slervut blog students laughing
Metis Approach to Data Science Education (Part 2): Staying Current in a Cutting Edge World

By Paul Burkard • May 30, 2017

This past Fall, Metis Senior Data Scientist Julia Lintern spearheaded an effort to revamp aspects of Metis’s Data Science Bootcamp curriculum in terms of both content and content delivery, which marked the first major curriculum overhaul in its 2.5-year history. This blog post is structured as some history/background on the contents of the Metis curriculum alongside an interview with Julia about the changes made.

data science F8qsjsjdseqygitnlkml blog student coffee
Metis Approach to Data Science Education (Part 1): Project-Driven, Learning by Doing

By Paul Burkard • May 10, 2017

This is the first entry in an ongoing series detailing the Metis approach to Data Science Education. The series will cover a variety of topics from strategies and philosophy to technologies and techniques, which have been cultivated through Metis’s firsthand experience instructing many aspiring data scientists.

data science Xcb1o9tjrhgz1qeljily blog computer hands
Cracking The Take Home Coding Exercise

By Laura Montemayor • May 08, 2017

Take home coding exercises are a common element of the data science interview process, particularly for entry level positions. One of our goals at Metis is to train individuals for career transitions into data science through completion of our 12-week data science bootcamp, which includes preparation for all stages of the job search process.

data science Pmvbl6x9reanm25fsbjr
Roadmap: How to Learn Machine Learning in 6 Months

By Zachariah Miller • March 30, 2017

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.