Upcoming
Program Dates
Schedule a Call
Upcoming Program Dates
We are currently able to accept applicants for the live online bootcamp from the states listed below. We still encourage you to submit an app even if your state is not listed so we may notify you when we are able to move your application forward.
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Hawaii
Illinois
Indiana
Louisiana
Maine
Maryland
Massachusetts
Minnesota
Mississippi
Missouri
Montana
Nevada
New Hampshire
New Jersey
New York
North Carolina
North Dakota
Ohio
Oregon
Pennsylvania
South Carolina
South Dakota
Tennessee
Vermont
Virginia
Washington
West Virginia
The Metis 12-week live online 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.
APPLY
Premier Instructors
& Classmates
Learn and receive mentorship from industry-seasoned Data Scientists, while collaborating with like-minded peers that have met our rigorous admission standards.
Project-Oriented
Curriculum
Our iterative, project-based approach enables students to apply what they learn to 5 different data science projects, each concluding with a presentation of the results.
Career
Support
Career Advisors provide the curriculum, hiring partner connections, and individual support required to prepare you for a successful data science job search.
Active
Community
Our alumni and network of hiring partners create opportunities to constantly interact and engage with peers and practitioners in the data science community.
See how our Live Online technologies bring the student experience to life.
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
PRE-WORK
WEEK 1
WEEK 2
WEEK 3
WEEK 4
WEEK 5
WEEK 6
WEEK 7
WEEK 8
WEEK 9
WEEK 10
WEEK 11
WEEK 12
ONLINE PRE-WORK
30 hours minimum of academic pre-work and variable hours to setup.
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
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
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
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)
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 during one-on-one meetings and mock interviews. You'll also record your final project presentation for our Graduate Directory, which we share with companies actively seeking data scientists.
Our Career Advisors are dedicated to helping students and grads get hired. Participate in weekly workshops plus mock technical interviews and more to ensure you’re ready upon graduation.
Workshops
Engage in workshops like resume writing, networking, interview preparation, and more.
One-On-One
Discuss salary, location, industry, and culture to best align you with the right company and career.
Speaker Series
Learn from industry experts through our Speaker Series, where we invite guests to share their experiences.
Passion Projects
Present your final passion project and we’ll get it in front of hiring companies to facilitate introductions
Mock Interviews
Participate in a practice technical interview with professional data scientists to prepare yourself.
Post-Grad Support
Get one-on-one career support until you’re hired and use our custom built Alumni Portal to find roles.
12-week, Live Online Bootcamp
Program Schedule Options*:
*Includes independent project work and lunch time.
PREREQUISITES
Experience with programming and stats
Tuition
$17,000
Multiple ways to pay tuition
Pay Upfront
Tuition $17,000
Installment Plans
Work with our team to identify zero interest payment plans that work for you.
Third Party Financing
We partner with Skills Fund, an innovative financing company that offers multiple financing options for students accepted to our bootcamp.
The Metis Scholarship
We offer a $3,000 scholarship for women, members of underrepresented groups, the LGBTQ community, or veterans of U.S. military personnel. Learn more by visiting our Diversity page.
Vinny enjoys the nexus of mathematics, computer programming, human perception and arts.
LEARN MORE
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.
LEARN MORE
Joe loves tackling unusual problems with the tools of data science and has a passion for effectively communicating quantitative ideas.
LEARN MORE
Kimberly is passionate about data storytelling and the power of compelling data visualizations to challenge pre-conceived assumptions.
LEARN MORE
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.
LEARN MORE
Chris Bruehl, a Data Science Instructor, enjoys empowering others to turn data and algorithms into clear business results.
LEARN MORE
Joan comes to Metis from Omelas, where she built machine learning models and data pipelines that map the online information environment around geopolitical actors.
LEARN MORE
Leon is a creative deep thinker who has made it his mission to bridge the gap between application and aesthetic in data science.
LEARN MORE
Brian's main interests in data science are interpretability and bayesian statistics.
LEARN MORE
Jennifer enjoys creating individualized career plans designed to breakdown the job search process and distinguish you from your competition.
LEARN MORE
Ashley is a passionate Career Advisor who enjoys helping job seekers realize their full professional potentials and loves assisting them with finding their dream careers.
LEARN MORE
Jesel enjoys using every possible resource to help others recognize their talents and improve their outcome for success.
LEARN MORE
Caroline is passionate about forming meaningful relationships with students and helping them reach their greatest potential.
LEARN MORE
Stephany is a numbers girl with a passion for statistics, social entrepreneurship, and education.
LEARN MORE
“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.”
1
SUBMIT YOUR
APPLICATION
2
COMPLETE TECHNICAL
ASSESSMENT
3
INTERVIEW WITH
A DATA SCIENTIST
4
WELCOME
TO METIS!
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!
During this recorded workshop, Roberto Reif, Executive Director of Data Science here at Metis, introduces you to an unsupervised machine learning algorithm used for clustering, called k-means.
Prepare to Apply
Learn about the free tools and live online courses available to help you prepare to apply.
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 five 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.
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 five 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.
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 five 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.
Vinny Senguttuvan
Senior Data Scientist
Vinny enjoys the nexus of mathematics, computer programming, human perception and arts.
LEARN MOREAlice 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.
LEARN MOREJoe Eddy
Senior Data Scientist
Joe loves tackling unusual problems with the tools of data science and has a passion for effectively communicating quantitative ideas.
LEARN MOREKimberly Fessel
Senior Data Scientist
Kimberly is passionate about data storytelling and the power of compelling data visualizations to challenge pre-conceived assumptions.
LEARN MORERichard 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.
LEARN MOREChris Bruehl
Data Scientist
Chris Bruehl, a Data Science Instructor, enjoys empowering others to turn data and algorithms into clear business results.
LEARN MOREJoan 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.
LEARN MORELeon Johnson
Data Scientist
Leon is a creative deep thinker who has made it his mission to bridge the gap between application and aesthetic in data science.
LEARN MOREBrian McGarry
Data Scientist
Brian's main interests in data science are interpretability and bayesian statistics.
LEARN MOREJennifer Raimone
Director of Career and Student Support
Jennifer enjoys creating individualized career plans designed to breakdown the job search process and distinguish you from your competition.
LEARN MOREAshley Purdy
Career Advisor
Ashley is a passionate Career Advisor who enjoys helping job seekers realize their full professional potentials and loves assisting them with finding their dream careers.
LEARN MOREJesel Roosevelt
Program Manager
Jesel enjoys using every possible resource to help others recognize their talents and improve their outcome for success.
LEARN MORECaroline Csernus
Program Manager
Caroline is passionate about forming meaningful relationships with students and helping them reach their greatest potential.
LEARN MOREStephany Bittar
Program Manager
Stephany is a numbers girl with a passion for statistics, social entrepreneurship, and education.
LEARN MORE
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