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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
The Metis Data Analytics Bootcamp consists of expert-led classes and three projects, plus a dedicated Career Week where we’ll help you build even more skills and connections needed to land a job.
APPLY
Learn From Elite
Data Analytics Instructors
Our industry-seasoned practitioners must meet a high bar of instructional excellence.
Graduate with
Professional Projects
Put together an impressive portfolio of projects you can bring to interviews.
Build Career Skills
Until You’re Hired
Get career support made for you. Plus, connect with our hiring partners.
Become Part of a
Lifelong Community
Join an active alumni community of data professionals you’ll keep up with for life.
MODULE 1 -
MODULE 2 -
MODULE 3 -
UNIT 1: Exploratory Data Analysis
Learn how to use tools like Python and SQL, and build fundamental knowledge of exploratory data analysis.
UNIT 2: Exploratory Data Analysis Advanced
Explore the advanced methods used for Python and SQL when performing data analysis.
Project Due:
You’ll extract insights from a messy dataset. In addition, you’ll perform exploratory data analysis using the pandas Python package, use Jupyter notebooks to write code, and use Matplotlib packages to visualize results. Lastly, you’ll work with an SQL relational database to obtain, maintain, and clean data.
UNIT 1: Linear Regression Basics and Web Scraping
You’ll learn linear regressions fundamentals, how to web scrape, and the basics of feature engineering and cross validation.
UNIT 2: Linear Regression Advanced
You’ll continue mastering linear regressions with advanced methods like regularization and stochastic gradient descent. We’ll also introduce you to methods for time series regression.
Project Due:
Solve a linear regression problem by gathering data with web scraping tools, and go in-depth into regression theory. You’ll also practice using python modules such as scikit-learn. Finally, you’ll apply the foundational machine learning techniques you’ve learned from validation to feature engineering.
UNIT 1: Business Analysis
We’ll teach you how to use spreadsheet tools to analyze data, as well as the best practices for data visualization.
UNIT 2: Presentations, Project Management and Ethics
You’ll learn ethical implications and the best practices of working with data. Plus, you’ll acquire basic project management skills.
Project Due:
Apply your knowledge to solve a business problem using data in an ethical, practical way. This involves using project management practices and iterative design techniques. You’ll then describe and extract insights from tabular data sets while building interactive data dashboards.
Work on your own schedule with on-demand lectures. Deadlines for assignments, dedicated 1:1 instructor support, and organized modules help keep you organized and accountable.
Length
Tuition
Scholarship
Weekly Time Commitment
Schedule
Lectures
Instructors
Office Hours
Instructor 1:1s
Projects
Project Presentations
Career Support
Social Activities
Online Flex
12 weeks
$7,000
$2,000
15-20 hours/week
Flexible with deadlines to keep you on track
On-Demand
Metis Data Scientists
Weekly
Weekly
3
Live Online
Until Hired
Live Online
During Bootcamp
ONE-ON-ONE GUIDANCE
We’ll help you build a custom roadmap to career success. We’ll help you map out your desired salary, job location, and more.
SPEAKER SERIES
Experts from various companies will share their unique experiences and top tips.
JOB SEARCH TUTORIALS
Watch on-demand, instructional videos about drafting a resume, networking, and more.
The Week After Bootcamp
WORKSHOPS
These in-depth sessions will help you write a strong resume, prep for interviews, and more.
MOCK INTERVIEWS
Practice makes perfect, but practicing interviewing with an expert? That’ll ensure you land a job ASAP.
Until You’re Hired
GRADUATE DIRECTORY
Join our graduate directory where employers can review your bio, portfolio, and resume.
CONTINUED SUPPORT
We’ll work with you one-on-one until you’re hired. Plus, you can use our custom-built Alumni Portal to find jobs.
Sr. Analyst / Data Scientist, United Airlines
Winter 2018
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 to the Data Analytics 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 Data Analytics Bootcamp consist of?
On-your-time modules over 12 weeks (Online Flex)
3 professional data science projects
One-on-one support from instructors and TAs
Career support during bootcamp, the week after, and beyond
And much more
All of the modules you’d complete at bootcamp are offered as Short Immersive Courses. If you’re only interested in a specific topic or if you want to get a feel for the experience before committing, this is a great option.
