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The Only Accredited Data Science Bootcamp

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 Sr. Data Scientists bring real-world experience to the classroom and guide students as they use real data to build a 5-project portfolio.

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

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


Experience with programming and stats

Cost: $17,000

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Online Pre-Work

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

Bootcamp Curriculum Overview

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

Consider one of our part-time bootcamp prep courses.
Gain the skills you need + apply your tuition paid towards the bootcamp.

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.

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.


- 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.

International Applicants

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

All data science bootcamps are not created equal.
Learn Why

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

Lara Kattan

Senior Data Scientist
Lara is constantly awe struck by how math and statistical models can so reasonably approximate the messy real world, and loves to share her passion for the theory. 
Lara comes to Metis from McKinsey, where she worked with financial institutions on risk modeling. Prior to settling into the practical world of consulting, Lara received a master's from the University of Chicago, where she had the privilege of thinking about problems with no real-world implications. There her passion for unstructured thinking and novel problem solving were nurtured and she took the lessons learned with her into conference rooms and PowerPoint decks. The statistical and mathematical elegance of data science are what animate her the most, but she gets her biggest joy from demystifying the rigorous mathematics for all audiences. If forced to snap out of her mathematical reveries, she's probably doing yoga, riding a bike, or drinking too much coffee. 

Alice Zhao

Senior Data Scientist

Alice, a Metis data science instructor, enjoys making complex things easy to understand.

Alice comes to Metis from Cars.com, where she started as the company's first data scientist, supporting multiple functions from Marketing to Technology. During that time, she also co-founded a data science education startup, Best Fit Analytics Workshop, teaching weekend courses to professionals at 1871 in Chicago. Prior to becoming a data scientist, she worked at Redfin as an analyst and at Accenture as a consultant. She has her M.S. in Analytics and B.S. in Electrical Engineering, both from Northwestern University. She blogs about analytics and pop culture on A Dash of Data. Her blog post, "How Text Messages Change From Dating to Marriage" made it onto the front page of Reddit, gaining over half a million views in the first week. She is passionate about teaching and mentoring, and loves using data to tell fun and compelling stories.

Check out content by and/or featuring Alice:

Podcast: Data Science for Beginners (Learn to Code with Me Podcast)

Talk: Support Vector Machines: A Visual Explanation with Sample Python Code

Article: Geek of the Week (GeekWire)

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:


John Tate

Senior Data Scientist

John is a data scientist with experience in machine learning, cloud technologies, and business intelligence.

John joins Metis from WithumSmith+Brown, where he was a manager in their data and analytics practice. At Withum, John led engagements developing end to end solutions for clients with applications ranging from data management and cloud infrastructure to predictive analytics and business intelligence. He has taught data science for General Assembly as well as Microsoft training workshops and professional education courses for financial professionals.

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.

Omar Singleton

Data Scientist

Omar is a data scientist and neuroscientist with a passion for understanding complex data and how it relates to the real world.

Omar completed his MS in Health Disparities in Neuroscience-related disorders at Wake Forest University, where he researched cognitive functioning, brain connectivity, and brain structure in psychiatric and neurological conditions. Previously, he researched meditation and neuroplasticity at the Martinos Center for Biomedical Imaging at the Massachusetts General Hospital. In his spare time, he enjoys hiking, cooking, and spending time with friends.

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.

Connect with others & expand your network.

Learn from and network with 8-12 industry speakers throughout the duration of the bootcamp, attend Metis-sponsored events and Meetups on-location and throughout your city, and network with Metis alumni and other on-site developers and entrepreneurs.

Speaker Series

Check out some of our upcoming and past speakers to get an idea of the types of industry leaders you’ll hear from (and network with) during your time in the bootcamp.

View Upcoming and Past Speakers

Made at Metis

See examples of projects created by Metis bootcamp graduates. Final projects analyze all kinds of data from politics, fashion, travel, sports, public health, and more.

View Recent Alumni Projects
Come visit us! Attend an event or tour a campus near you.

Upcoming Bootcamps

Live Online

June 29

Early Deadline:
May 4, 2020
Final Deadline:
May 26, 2020
New York City

June 29

Early Deadline:
May 4, 2020
Final Deadline:
May 26, 2020

June 29

Early Deadline:
May 4, 2020
Final Deadline:
May 26, 2020
San Francisco

June 29

Early Deadline:
May 4, 2020
Final Deadline:
May 26, 2020
Live Online

September 21

Early Deadline:
July 27, 2020
Final Deadline:
August 17, 2020
View Full Schedule

You've completed your bootcamp training.
Now let's get you hired.


We 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. View upcoming and past speakers here.


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

Mock Interviews

Participate in a practice technical interview with professional data scientists.

Company Site Visits

Visit hiring companies and network with their data science teams.

Career Day

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

Post-Graduation Support

Get ongoing career guidance, support, and access to additional resources.

Consulting Projects

Work part-time as a data science consultant while you do your job search.

Check out our 12-week career support curriculum.

Companies where our alumni work:

“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

Watch a Q&A with 3 bootcamp grads:

Learn more about our Career Services:

Apply Now