Extended to May 31: Summer Bootcamp Final Application Deadline Apply Now

THE ONLY ACCREDITED

Data Science

Bootcamp

APPLY
UPDATE ON IN-PERSON PROGRAMS

Due to COVID-19, on-campus bootcamps are being delivered through our interactive live online format. Guidance from government authorities will be monitored as we work toward a safe transition back to on-campus instruction. Upcoming bootcamps are planned to run as scheduled, with our Summer cohort running online for the full duration of the bootcamp. Learn More

Chicago

Chicago

New York City

New York City

San Francisco

San Francisco

Live Online

Live Online

Upcoming

Program Dates

June 29 to September 18, 2020

Final App Deadline: May 31, 2020

APPLY NOW

September 21 to December 11

Early App Deadline: Jul 27, 2020

APPLY NOW
Questions?
Schedule a Call

Upcoming Program Dates

June 29 to September 18, 2020

Final App Deadline: May31, 2020

APPLY NOW

September 21 to December 11

Early App Deadline: Jul27, 2020

APPLY NOW

June 29 to September 18, 2020

Final App Deadline: May31, 2020

APPLY NOW

September 21 to December 11

Early App Deadline: Jul27, 2020

APPLY NOW
Questions? Schedule a Call

IMMERSIVE DATA SCIENCE TRAINING & CAREER SUPPORT

Metis's 12-week accredited data science bootcamp is an immersive program designed to give you the skills and connections you need to launch a career in data science. Career Advisors are dedicated to helping students and grads get hired, while Data Scientists bring real-world experience to the classroom and guide students as they use real data to build a 5-project portfolio.

Here's what you'll learn at the bootcamp.

Metis is the only accredited data science bootcamp, which is taught by Data Scientists with deep industry experience. The Metis program combines traditional instruction in theory and technique with a project-based approach. Each project is a start-to-finish application of the skills needed to be a well-rounded, competitive practitioner in the data science workforce.

ONLINE

PRE-WORK

PROJECT 1:

Exploratory Data Analysis

PROJECT 2:

Regression & Web Scraping

PROJECT 3:

Classification & Interactive Dashboards

PROJECT 4:

Natural Language Processing & Unsupervised Learning

PROJECT 5:

Passion Project

Online

Pre-Work

ONLINE PRE-WORK

30 hours minimum of academic pre-work and variable hours to setup.

Project 1:

Exploratory Data Analysis

WEEK 1: INTRODUCTION TO THE DATA SCIENCE TOOLKIT

Python, Bash Shell, Git & Github workflow, data wrangling and EDA (Exploratory Data Analysis) with Python, pandas, and Matplotlib

Project 2:

Regression & Web Scraping

WEEK 2: LINEAR REGRESSION, DESIGN PROCESS & WEB SCRAPING

Linear regression theory/application, web scraping via BeautifulSoup and Selenium, machine learning concepts (overfitting and train/test splits)

Week 3: Statistics Review, Intro Machine Learning & Communicating Results

Intro to time series modeling, statistics review, intro to Bayes Theorem, linear regression regularization, hypothesis testing

Project 3:

Classification & Interactive Dashboards

Week 4: Databases, Machine Learning Concepts, More Supervised Learning

Classification and regression algorithms (Knn, logistic regression, SVM, Naive Bayes), SQL concepts, cloud servers

WEEK 5: SUPERVISED LEARNING & VISUALIZATION

More algorithms (Classification and regression trees, Random Forest), interactive visualization with business intelligence tools, web dev essentials, Flask

WEEK 6: INTRODUCTION TO NLP, NoSQL & UNSUPERVISED LEARNING

NLP (textblob, NLTK, chunking, stemming, POS tagging, tf-idf) data & databases (RESTful APIs, NoSQL databases, MongoDB, pymongo), k-means

Project 4:

Natural Language Processing & Unsupervised Learning

WEEK 7: MORE NLP, NoSQL, UNSUPERVISED LEARNING

More clustering algorithms (DBSCAN), machine learning topics (curse of dimensionality, dimension reduction, PCA, SVD, LSI), intro to deep learning & neural networks

WEEK 8: HANDLING BIG DATA

A/B testing experiment design and interpretation, distributed databases (Dask, Hadoop, HiveQL)

Project 5:

Passion Project

WEEK 9: BIG DATA MACHINE LEARNING, DEEP LEARNING, ETHICS & BEGIN PASSION PROJECT

PySpark, deep learning (CNNs, RNNs) data ethics, MapReduce algorithm, and final project initiated

WEEK 10-12: COMPLETE FINAL PROJECT & CAREER READINESS

While completing your final project, work with your career advisor to complete final one-on-one meetings and mock interviews. You'll also get the opportunity to network with companies actively seeking data scientists during career day.

Course Details

12-Week, in-person Bootcamp
New Live Online Format Also Available!

Monday - Friday, 9:00am - 5:00pm

2-3 hours of classroom instruction daily

4-6 hours of development and project work

400 total clock hours

PREREQUISITES

Experience with programming and stats

Cost:

$17,000

Avg Rating:
4.89
Stars:
4.91

Third Party Financing

We partner with Skills Fund, an innovative financing company that offers financing options for students accepted to our bootcamp.

Scholarships & GI Benefits

We offer a $3,000 scholarship for women, members of underrepresented groups, the LGBTQ community, or veterans of U.S. military personnel. Learn about GI Benefits.

International Applicants

International students can attend the Metis Data Science Bootcamp in all of our U.S. campuses on an M-1 Visa. Details here.

Don’t feel ready to apply? Explore our prep courses and free resources.
COMPARE YOUR OPTIONS

Meet your all-star data science instructors.

Vinny Senguttuvan

Senior Data Scientist

Vinny, a Metis data science instructor, views data as a facet of perception.

Vinny comes to Metis after leading a team of Data Scientists at High 5 Games. Prior to that he taught Machine Learning at General Assembly and built tools for Animators and Effects Artists at Blue Sky Studios (the company that made Ice Age, Rio and The Peanuts Movie). He has a Masters in Computational Engineering and another in Creative Writing. He enjoys the nexus of mathematics, computer programming, human perception and arts. Over the past three years, Vinny has been knee-deep in large distributed data -- aggregating, building recommendation systems, measuring popularity and predicting Lifetime Value. In that time, he also finished a first draft of his novel. An avid programmer, Vinny has won various programming contests including the Regional ACM Collegiate Programming Contest. He has taught at the University of Miami and has given talks and presentations at various colleges and conferences.

Check out content by and/or featuring Vinny:

Article: The Data Science Pipeline - Analytics Week

Alice Zhao

Senior Data Scientist

Alice enjoys making complex things easy to understand and is passionate about teaching and mentoring, and loves using data to tell fun and compelling stories. 

Joe Eddy

Senior Data Scientist

Joe loves tackling unusual problems with the tools of data science and has a passion for effectively communicating quantitative ideas.

As both a math enthusiast and a former competitive debater, Joe was drawn to data science by its place at the intersection of statistics, computing, and communication. He has worked on projects ranging from quantifying and comparing story plots to building a Bayesian model of human rights abuse rates that accounts for informational bias. Before transitioning into data science, he worked in various data analytics roles, most recently as an Equity Research associate on Credit Suisse's portfolio strategy team. He holds a B.A. in Mathematics from Columbia University, and is also a Metis alumnus. He currently coaches NYU's parliamentary debate team, and in his free time he enjoys playing piano, reading, and playing board games.

Check out content by Joe:

GitHub Repository

Article: Safety in Numbers: My 18th Place Solution to Porto Seguro’s Kaggle Competition  

Kimberly Fessel

Senior Data Scientist

Kimberly uses her background in applied math to discover data's what, why, and how.

Kimberly joins Metis from MRM//McCann, a leading digital advertising agency, where she focused on helping clients understand their customers by leveraging unstructured data with modern NLP techniques.  She is passionate about data storytelling and the power of compelling data visualizations to challenge pre-conceived assumptions.  Kimberly's enthusiasm for teaching comes from her days as an academic.  She holds a Ph.D. in applied mathematics from Rensselaer Polytechnic Institute and completed a postdoctoral fellowship in math biology at the Ohio State University.  In her spare time, Kimberly likes to stay active and particularly enjoys swing dancing, rollerblading, and jogging with her dog.

Check out content by Kim:

Blog

Trevor Drummond

Data Scientist

Trevor is a life-long teacher who stresses the importance of model interpretability as it pertains to business practices.

Trevor has taught the Metis Bootcamp with our Corporate Training team at the AI Institute of Advanced Studies in Riyadh, KSA. He has a BA in Mathematics from the Courant Institute of Mathematics at New York University. Before Metis, Trevor was at IAA Capital Management, where he incrementally introduced Machine Learning techniques to the analysis of financial markets. At every step of implementation, he built a proof-of-concept to demonstrate the added value. The biggest takeaway from his experience would be the ability to account for unknown-unknowns; an invaluable but often unaccounted for skill that prepares predictive models for what we haven’t before experienced. In his spare time, he is an avid reader and strong believer in the (added) effects of physical exercise and mindfulness on “life performance”.

Richard Chiou

Data Scientist

As a former teacher assistant for several courses at Columbia, Richard is excited to share his knowledge of data science, academic and industrial, with aspiring data scientists of all backgrounds.

Richard Chiou holds a BA in Computer Science and Economics-Mathematics from Columbia University and a Master of Engineering degree in Data Science and Systems from UC Berkeley. He joins Metis from Signifyd, where he worked on machine learning models for online e-commerce fraud prevention. In his spare time, he is a board game enthusiast, a frequent escape room artist, and an intrepid traveler who seeks to uncover the mysteries and pleasant surprises hidden in life.

Chris Bruehl

Data Scientist

Chris Bruehl, a Data Science Instructor, enjoys empowering others to turn data and algorithms into clear business results.

Chris has always had a passion for business and mathematics, which led him to his undergraduate degree in Economics at Cal Poly. After working in international supply chain management for several years, he realized the best part of his day was sitting down with a cup of coffee and crunching data, so he returned to school to get his Masters Degree in Analytics at North Carolina State University. He brings 4 years of data science experience in the insurance industry, working on a wide array of projects from customer conversion modeling to fraud detection. In his spare time, he is a dog dad, gamer, and vinyl record hunter.

Joan Wang

Data Scientist

Joan comes to Metis from Omelas, where she built machine learning models and data pipelines that map the online information environment around geopolitical actors. 

Career support until you're hired.

Our Career Advisors are dedicated to helping students and grads get hired. From day one, you’ll begin meeting with your dedicated advisor to get you started on your data science career journey.

Hiring Network

Gain access to our robust hiring network, cultivated by our Career Advisors throughout the years. You’ll be connected to hiring managers at top companies across industries.

Career Curriculum

Participate in weekly workshops on resumes, networking, interview preparation, salary negotiations, plus mock technical interviews and more to ensure you’re ready upon graduation.

Post-Graduation Support

Receive access to our custom-built Alumni Portal where our hiring partners’ open roles are posted. You’ll also connect with past graduates on our exclusive Alumni Slack to widen your network.

Some of the companies where our alumni work.

More ways we help you get hired.

Workshops

Engage in workshops like resume writing, salary negotiations, and more.

One-On-Ones

We discuss salary, location, industry, and culture to best align you with the right company and career.

Mock Interviews

Participate in a practice technical interview with professional data scientists.

Company Site Visits

Visit hiring partners’ offices and network with their data science teams.

Speaker Series

Learn from industry experts through our Speaker Series. View past speakers here.

Career Day

Present your final passion project to employers and meet hiring companies.

More ways we help you get hired.

Workshops

Engage in workshops like resume writing, salary negotiations, and more.

We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.

Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.

Why?

- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2

- Women of color represent less than three percent of those in technology fields.3

- Only four percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4

- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6

We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.


* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

One-On-Ones

We discuss salary, location, industry, and culture to best align you with the right company and career.

We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.

Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.

Why?

- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2

- Women of color represent less than three percent of those in technology fields.3

- Only four percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4

- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6

We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.


* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

Mock Interviews

Participate in a practice technical interview with professional data scientists.

We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.

Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.

Why?

- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2

- Women of color represent less than three percent of those in technology fields.3

- Only four percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4

- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6

We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.


* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

Company Site Visits

Visit hiring partners’ offices and network with their data science teams.

We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.

Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.

Why?

- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2

- Women of color represent less than three percent of those in technology fields.3

- Only four percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4

- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6

We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.


* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

Speaker Series

Learn from industry experts through our Speaker Series. View past speakers here.

We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.

Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.

Why?

- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2

- Women of color represent less than three percent of those in technology fields.3

- Only four percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4

- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6

We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.


* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

Career Day

Present your final passion project to employers and meet hiring companies.

We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.

Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.

Why?

- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2

- Women of color represent less than three percent of those in technology fields.3

- Only four percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4

- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6

We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.


* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

Brennan Biddle,
CAPITAL ONE

“We’ve been working with Metis for a few years now across several different geographies. Their talent bar is extremely high, and we repeatedly hire very strong candidates from them. Their curriculum, staff, and career partners tend to produce candidates that pass our rigorous interview process and then hit the ground running once they start.”

Brennan Biddle,
CAPITAL ONE

Meet Our Alumni

Here at Metis we have a large network of 1,100+ alumni all over the globe. We’re proud to feature their stories here to highlight the many paths to becoming a data scientists.

Laura

Chen

Data Scientist, Spotify

New York, Winter 2018

Read their story

Leon

Johnson

Data Scientist, Viral Launch

New York, Summer 2018

Read their story

Chris

Gillespie

Data Scientist, United Airlines

Chicago, Winter 2018

Read their story | Watch Video

Nathan

Maton

Data Scientist, Omada Health

San Francisco, Winter 2019

Read their story

Tiffany

Moeller

Software Engineer, Cloudflare

Chicago, Winter 2018

Read their story

Alexandra

Fox

Data Scientist, PAX Labs

San Francisco, Winter 2019

Read their story

Jeff

Kao

Computational Journalist, ProPublica

San Francisco, Fall 2018

Read their story

Emy

Parparita

Software Engineer - ML, Quora

San Francisco, Winter 2018

Read their story

Kai-Ray

Wang

Analytics Manager, NY Times

New York, Fall 2017

Read their story
VIEW ALL ALUMNI STORIES

Metis Data Science Bootcamp Application Process

1

SUBMIT YOUR

APPLICATION

2

COMPLETE TECHNICAL

ASSESSMENT

3

INTERVIEW WITH

A DATA SCIENTIST

4

WELCOME

TO METIS!

SUBMIT YOUR

APPLICATION

Our applicants come from diverse backgrounds. We recommend you at least have some experience with programming and statistics. Upon submitting your application, you will be matched some alumni with similar backgrounds so that you may reach out if you’d like to get their experience in the bootcamp.

1

SUBMIT YOUR

APPLICATION

Our applicants come from diverse backgrounds. We recommend you at least have some experience with programming and statistics. Upon submitting your application, you will be matched some alumni with similar backgrounds so that you may reach out if you’d like to get their experience in the bootcamp.

2

COMPLETE TECHNICAL

ASSESSMENT

After initial review of your application, our team will invite you to complete a technical assessment. It features a mix of questions in math, statistics, python, and basic intuition in working with data.

3

INTERVIEW WITH

A DATA SCIENTIST

Once you’ve successfully completed your challenges, you’ll get an opportunity to interview with a Data Scientist to further dive into your technical background, discuss your goals, and brainstorm on your project idea.

4

WELCOME

TO METIS!

Congratulations on making it into one of our Bootcamps! We pride ourselves on having a highly selective and rigorous admissions process. This in part ensures you and your peers are setup for success. Now the real fun begins; Complete the pre-work materials in order to feel prepared and ready to tackle day 1!

Upcoming

Program Dates

Upcoming Program Dates

June 29 to September 18, 2020

Final App Deadline: May31, 2020

APPLY NOW
September 21 to December 11

Early App Deadline: Jul27, 2020

APPLY NOW
Questions? Schedule a Call

Book A Tour

Come explore one of our campuses and meet our team! We’d love to show you around.

We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.

Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.

Why?

- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2

- Women of color represent less than three percent of those in technology fields.3

- Only four percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4

- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6

We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.


* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

Book your tour

Take The First Step

Ready to take the first step toward becoming a Data Scientist? Start your application.

We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.

Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.

Why?

- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2

- Women of color represent less than three percent of those in technology fields.3

- Only four percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4

- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6

We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.


* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

Apply today

Chat With Admissions

Have more questions about our data science program? Our admissions team is happy to speak with you.

We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.

Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.

Why?

- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2

- Women of color represent less than three percent of those in technology fields.3

- Only four percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4

- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6

We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.


* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.

Schedule a call

FAQs about the Metis Immersive Data Science Bootcamp

ADDITIONAL FAQ

Questions?

Read our FAQs