Data Science Bootcamps

Course Details

12-Week, in-person Bootcamp

Monday - Friday, 9:30am - 6:00pm

2-3 hours of classroom instruction daily

4-6 hours of development and project work

Prerequisites

Experience with programming

Experience with stats

Cost: $16,000

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Online Pre-Work

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

Bootcamp Summary

WEEK 1: Introduction to the Data Science Toolkit
Exploratory Data Analysis, Bash, Git & GitHub, Python, pandas, matplotlib, Seaborn

WEEK 2: Linear Regression and Machine Learning Intro
Web scraping via BeautifulSoup and Selenium, regression with statsmodels and scikit-learn, feature selection overfitting and train/test splits, probability theory.

WEEK 3: Linear Regression and Machine Learning Continued
Regularization, hypothesis testing , intro to Bayes Theorem

WEEK 4: Databases and Introduction to Machine Learning Concepts
Classification and regression algorithms (Knn, logistic regression, SVM, decision trees, and random forest), SQL concepts, cloud servers

WEEK 5: More supervised learning algorithms & web tools
Naive Bayes, stochastic gradient descent and intro to Deep Learning, Full stack in a nutshell: Python Flask, Javascript and D3.js

WEEK 6: Statistical Fundamentals
MLE, GLM, Distributions, Databases ( RESTful APIs, NoSQL databases, MongoDB, pymongo) Natural Language Processing techniques

WEEK 7: Unsupervised Machine Learning
Various clustering algorithms, including K-means and DBSCAN, dimension reduction techniques (PCA, SVD, LDA, NMF)

WEEK 8: More Deep Learning & Unsupervised Learning
Deep Learning via Keras, Recommender Systems

WEEK 9: Big Data
Hadoop, Hive & Spark, Final project initiated

WEEK 10-12: Final Project

Download Full Syllabus

Consider one of our part-time professional development 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

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

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.

International Applicants

International students can attend the Metis Data Science Bootcamp in New York City or San Francisco on an M-1 Visa. Details here.

Meet your all-star data science instructors.

Debbie Berebichez

Chief Data Scientist

Physicist, Data Scientist, and TV Host
Expertise in scientific research and advanced analysis and has helped automate decision-making and uncover patterns in large amounts of data
Earned a Ph.D. in physics from Stanford and completed two postdoctoral fellowships at Columbia University's Applied Math and Physics Department and at NYU's Courant Institute for Mathematical Sciences
Frequent mentor of young women in STEM
Work in science education and outreach has been recognized by the Discovery Channel, WSJ, Oprah, Dr. Oz, TED, DLD, WIRED, Ciudad de las Ideas, and others

Julia Lintern

Senior Data Scientist

Worked at JetBlue as a quantitative engineer; used quantitative analysis and machine learning methods to provide continuous assessment of the aircraft fleet
Began her career as a structures engineer
Has a M.A. in Applied Math from Hunter College, where she focused on visualizations of various numerical methods including collocation and finite element methods

Vinny Senguttuvan

Senior Data Scientist

Comes to Metis after leading a team of Data Scientists at High 5 Games
Taught Machine Learning at General Assembly and built tools for Animators and Effects Artists at Blue Sky Studios
Earned a Masters in Computational Engineering and another in Creative Writing
He has been knee-deep in large distributed data – aggregating, building recommendation systems, measuring popularity and predicting Lifetime Value;
Has won various programming contests including the Regional ACM Collegiate Programming Contest
Has taught at the University of Miami and has given talks and presentations at various colleges and conferences

Krishna Bala

Senior Data Scientist

Comes to Metis from the advertising world having worked in a series of startups enabling online and television advertising.
Formerly Chief Scientist at Simulmedia, where he led a team of data scientists that used big data to improve targeting, measurement and advance the state of programmatic buying in television advertising
Earned a Masters in Physics and another in Computer Science and is excited about bringing his startup, data science and big data experiences to the classroom

David Ziganto

Senior Data Scientist

Comes to Metis from HAVI, a world-renowned supply chain and logistics company
Developed the machine learning back-end for HAVI’s SaaS product and provided training in Python, algorithms, and Apache Spark
Prior, worked at a research lab for the Department of Defense, where he led multiple facets of a big data cybersecurity project
Earned Master's degree in Electrical Engineering from Boston University, having specialized in optimization methods

Jonathan Balaban

Senior Data Scientist

Consultant, data scientist, and entrepreneur with ten years of private, public, and philanthropic experience
As a data scientist, worked at McKinsey and Booz Allen Hamilton, and has taught data science at General Assembly
Has led teams to design bespoke data science solutions that have driven revolutionary changes in client operations

Seth Weidman

Senior Data Scientist

Comes to Metis from Trunk Club, where he built lead scoring models and contributed to recommender systems
Transitioned into Data Science from management consulting by taking courses on Coursera and Udacity
His own educational experiences made him passionate about alternative education such as MOOCs and bootcamps, which led him first to teach data science part-time for General Assembly and Metis
Has Mathematics and Economics degrees from The University of Chicago

Zach Miller

Senior Data Scientist

Spent last eight years collecting, cleaning, and analyzing data from particle accelerators all over the United States, putting to use his Ph.D. in nuclear physics
Helped pioneer statistical analysis, simulation, and data collection techniques to make measurements from hundreds of terabytes of physics data
Worked with Los Alamos National Laboratory, Brookhaven National Laboratory, the University of Kentucky Accelerator Lab, and the University of Illinois at Chicago
His passion is combining technical and programming skills with the educational chops he developed as a professor in order to create an intuitive, hands-on learning experiences

Taylan Bilal

Senior Data Scientist

Industrial engineer, mathematician, and data scientist with a passion for teaching and using data to solve real world problems
Comes to Metis from Versium Analytics, where he led the data science team and was involved in various projects such as fraud detection, churn prediction, and building an automated self-service predictive analytics/machine learning platform
Has a Ph.D. in Algebraic Geometry from the Mathematics department at the University of Southern California
Has worked and co-authored scientific papers on problems related to oceanography and biology

Paul Burkard

Senior Data Scientist

Comes to data science as a physics convert; studied physics and mathematics at MIT
Worked with a government intelligence contractor, entering data science through groundbreaking work with large scale text analytics via a technology called Latent Semantic Indexing (LSI)
Spent last few years leading a team building models on user and advertising data for nearly a billion users with Hadoop and AWS

Brian Lucena

Senior Data Scientist

Comes to Metis from PCCI, where he led a team of data scientists building real-time predictive models for clinical decision support
Former Chief Mathematician at Guardian Analytics, where he pioneered the development of fraud detection algorithms based on Bayesian behavioral modeling
Earned an A.B. from Harvard and a Ph.D. from Brown, and has held teaching and research positions at the University of Washington, UC-Berkeley, and the American University in Cairo

Andrew Blevins

Senior Data Scientist

Comes to Metis from LinkedIn, where he worked as a data scientist on projects ranging from executive dashboarding, education, inferring profiles and skills standardization
Worked on fraud modelling at IMVU (the lean startup) and studied applied physics at Cornell

Roberto Reif

Senior Data Scientist

Roberto is a scientist with a strong background in data analysis and image/signal processing.
He has worked in applications in the healthcare, internet of things, and business intelligence markets.
He received a PhD in Biomedical Engineering from Boston University, and has co-authored several scientific publications, book chapters, and patents.

Alice Zhao

Senior Data Scientist

Enjoys making complex things easy to understand.
Comes to Metis from Cars.com, where she started as the company's first data scientist.
Co-founded a data science education startup, Best Fit Analytics Workshop.
Worked at Redfin as an analyst and at Accenture as a consultant.
Blogs about analytics and pop culture on A Dash of Data.

Joe Eddy

Senior Data Scientist

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.

Sophie Searcy

Senior Data Scientist

Sophie Searcy comes to Metis from Elektra, a wearable startup that is replacing haptics with electricity. At Elektra she was cofounder and CTO, designing everything from the electronics to the framework for analyzing data. Before that she worked in the CoDaS lab at Rutgers where she combined cognitive science and theoretical computer science to build models of how people and machines teach and learn. She holds masters degrees in Electrical and Computer Engineering and Psychology. She is passionate about teaching, both in theory and in practice, and about making sure that data science is primarily a tool that is used to improve people's lives.

View the full Metis Team // Want to join our team?