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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
Request Curriculum
In our online Data Science Bootcamp, you’ll build skills, make connections, and learn from data science experts. The bootcamp consists of expert-led classes and five projects, plus a dedicated Career Week after graduation to help you find your next role in the data science field.
APPLY
Learn From Experienced
Data Scientists
Every class is led by industry-seasoned experts that must prove their instructional excellence.
Graduate with a
Project Portfolio
All bootcampers will complete five, portfolio-worthy projects that will impress employers.
Get Career Support
Until You’re Hired
We offer personalized career support and will help connect you with an extensive list of hiring partners.
Join a Lifelong
Community
Be welcomed into a community of active data professionals through our alumni network.
MODULE 1 -
MODULE 2 -
MODULE 3 -
MODULE 4 -
MODULE 5 -
UNIT 1: Exploratory Data Analysis Basics
Learn to use and apply the core concepts of EDA by creating simple classes and exploring, manipulating, and describing tabular datasets with Python.
Unit 2: Exploratory Data Analysis Advanced
We’ll expand on unit one, diving deeper into Python and SQL methods used for Exploratory Data Analysis.
Project Due:
Show that you can extract insights from a messy dataset and work with an SQL-based relational database to obtain and maintain data. Plus, write code using Jupyter notebooks, perform EDA using Python packages, and visualize your results using packages like Matplotlib.
UNIT 1: Linear Regression Basics and Web Scraping
This week is all about web scraping, cross validation, feature engineering, and linear regression basics.
Unit 2: Linear Regression Advanced
Learn the advanced linear regression methods which span topics from stochastic gradient descent to regularization. We’ll also teach you fundamental time series regression methods.
Project Due:
Your project for module two will cover two areas: solving a linear regression problem and applying foundational techniques for machine learning. You’ll go in-depth into regression theory, use python modules such as scikit-learn, and web scrape to gather data.
UNIT 1: Business Analysis
We’ll use spreadsheet tools to analyze data and leverage data visualization best practices.
Unit 2: Presentations, Project Management and Ethics
This unit is about acquiring project management techniques, learning presentation skills, and exploring the ethical challenges of working with data.
Project Due:
This is your chance to apply your project management and iterative design knowledge to solve a business problem, using data. You’ll take your findings and use them to build an interactive dashboard.
UNIT 1: Classification Basics
In this unit, we’ll cover topics like: featuring engineering for classification problems, basic classification models, and the fundamentals of classification metrics.
Unit 2: Classification Advanced
Here, we’ll build on our foundational understanding of classification models by working with imbalanced datasets.
Project Due:
This is your time to show that you can solve a classification problem. How will you do that? By using algorithms such as decision trees, logistic regression, random forests, and Naive Bayes. Then, you’ll further explore techniques in supervised machine learning to determine the proper metrics for your modeling problem and address challenges with class imbalance.
UNIT 1: Natural Language Processing and Unsupervised Learning Basics
Learn the natural language processing basics, dimensionality reduction, and recommendation systems. Plus, you’ll be introduced to basic clustering techniques.
Unit 2: Natural Language Processing and Unsupervised Learning Advanced
For your final unit, you’ll learn advanced techniques in NLP and clustering algorithms.
Project Due:
This last project is an opportunity to analyze text data using natural language processing algorithms. In addition, you’ll utilize techniques for dimensionality reduction like Principal Component Analysis, apply topic models like Latent Dirichlet Allocation, and implement clustering algorithms such as K-means.
Transition to a new career in data science—quickly—with an immersive, full-time format. You’ll get to interact with instructors and classmates in live online lectures.
On-demand lectures let you work on your own time, so you can fit studying into your daily life. You’ll also get dedicated 1:1 instructor support, an organized study plan, and deadlines to keep you on track.
Length
Tuition
Scholarship
Weekly Time Commitment
Schedule
Lectures
Instructors
Office Hours
Instructor 1:1s
Projects
Project Presentations
Career Support
Social Activities
Live Online
10 weeks
$14,500
$3,000
35-40 hours/week
Mon-Fri; 11am-6pm ET
Live Online
Metis Data Scientists
Weekly
Weekly
5
Live Online
Until Hired
Live Online
Online Flex
20 weeks
$7,700 $11,000
$3,000
15-20 hours/week
Flexible with deadlines to keep you on track
On-Demand
Metis Data Scientists
Weekly
Weekly
5
Live Online
Until Hired
Live Online
During Bootcamp
ONE-ON-ONE GUIDANCE
Career advisors will help you sort out your desired salary, industry, company, and job location.
SPEAKER SERIES
Industry experts will share their experiences and give tips and advice.
JOB SEARCH TUTORIALS
Learn how to draft a strong resume, build your online presence, and network effectively with these on-demand videos.
The Week After Bootcamp
WORKSHOPS
Experts will teach you how to craft a strong resume, prep for interviews, network, and more.
MOCK INTERVIEWS
Practice and strengthen your interviewing skills with the help of our advisors.
Until You’re Hired
GRADUATE DIRECTORY
Your profile will be added to our directory so hiring managers can find you, view your resume, and explore your portfolio.
CONTINUED SUPPORT
Use our custom-built Alumni Portal to find job opportunities and get one-on-one support until you land a role.
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.
Apply for the Metis Data Science Bootcamp
Don’t wait to apply. Applicants who are qualified will be accepted on a first come, first served basis.
The initial application takes between 10 - 15 minutes to finish.
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What does our live online Data Science Bootcamp consist of?
10 weeks of real-time classes (Live Online) or on-your-time modules over 20 weeks (Online Flex)
5 real-world data science projects
Individual support from your instructors & TAs
Career support throughout program & beyond
And much more!
Interested in a specific topic? Want to get a feel for bootcamp—before you enroll? All of our bootcamp modules are also available as Short Immersive Courses.
