Upcoming Program Dates
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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 six weeks of expert-led live online 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 - Exploratory Data Analysis
Week 1
Exploratory Data Analysis Basics
Learn how to use tools like Python and SQL, and build fundamental knowledge of exploratory data analysis.
Week 2
Exploratory Data Analysis Advanced
Explore the advanced methods used for Python and SQL when performing data analysis.
PROJECT
You’ll extract insights from a messy dataset in addition to: performing exploratory data analysis using the pandas Python package, Jupyter notebooks to write code, and Matplotlib packages to visualize results. Lastly, you’ll work with an SQL relational database to obtain, maintain, and clean data.
MODULE 2 - Linear Regression and Web Scraping
Week 3
Linear Regression Basics and Web Scraping
Learn linear regressions fundamentals, how to web scrape, and the basics of feature engineering and cross validation.
Week 4
Linear Regression Advanced
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
You’ll solve a linear regression problem by gathering data using web scraping tools, and going 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.
MODULE 3 - Business Fundamentals for Data Practitioners
Week 5
Business Analysis
We’ll teach you how to use spreadsheet tools to analyze data as well as the best practices for data visualization.
Week 6
Presentations, Project Management and Ethics
Learn presentation ethical implications and best practices of working with data. Plus, acquire basic project management skills.
PROJECT
You’ll 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.
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, live sessions with Career Advisors will help you finalize a strong resume, practice networking, 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.
6-Week, Full-time Bootcamp Program Schedule*:
Monday - Friday
11:00am - 6:00pm ET
10:00am - 5:00pm CT
8:00am - 3:00pm PT
*Includes independent project work and break.
PREREQUISITES
Experience with programming and stats
March 22 - April 30
Application deadline: February 22
April 19 - May 28
Application deadline: March 22
May 17 - June 25
Application deadline: April 19
June 14 - July 23
Application deadline: May 17
Check out our full program schedule for a list of comprehensive course dates.
Sr. Analyst / Data Scientist, United Airlines
Winter 2018
Join us for the next One Hour at Bootcamp workshop to kickstart your data journey with SQL, a foundational data skill widely used to extract data from databases.
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?
6 weeks of live online classes
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 two-week 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.
