FIU Data Science Bootcamp Application Deadline is Oct. 3 - Apply Now

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

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DATA SCIENCE BOOTCAMP

Launch Your Data Science Career

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.

Build Valuable Skills. Transform Your Career.

From Python to web scraping, you’ll acquire essential data science skills, but it doesn’t stop there. See where our expert-led, project-oriented Data Science Bootcamp will take you.

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.

What You’ll Learn at the Metis Data Science Bootcamp

MODULE 1 - 

Exploratory Data Analysis

MODULE 2 - 

Linear Regression & Web Scraping

MODULE 3 - 

Business Fundamentals for Data Practitioners

MODULE 4 - 

Machine Learning Classification

MODULE 5 - 

NLP & Unsupervised Learning

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.

REQUEST CURRICULUM VIEW PROJECTS

Program Benefits

Our project-oriented, career-driven approach will take you to places you never thought you could go.

ONLINE FLEX FORMAT

Part-Time

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

Weekly Time Commitment

Schedule

Lectures

Instructors

Office Hours

Instructor 1:1s

Projects

Project Presentations

Career Support

Get a Feel For Our Online Flex Programs

Online Flex

Watch lectures whenever it’s convenient for you.

Follow along during lecture as your instructor shares their screen.

Stay on track with assignment deadlines and organized subject modules.

Interact with your instructors and classmates on video, in the chat, and with the polling feature.

Test your skills with assessments developed by our in-house team of data scientists.

Real-time whiteboarding simulates the classroom learning experience.

The online learning platform lets you connect with other students and your instructor.

Collaborate with classmates during pair-programming, project work, and more.

Join social events, live presentations, and more.

Chat with your instructors and classmates in a dedicated Slack channel.

Meet a Few Instructors from the Metis Team

Metis instructors are not just data scientists. They’ve completed rigorous training to be engaging and effective online teachers.

  • Rita Biagioli

    Data Scientist

Meet the Full Team

Career Support Until You Land a Job

Our world-class career advisors will guide you to your dream job. We provide career support throughout the online Data Science Bootcamp and after graduation until you land a job.

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.

Where Metis Alumni Work Today

Alumni Stories

Our network of 1,200+ international alumni will inspire you. Read some of their stories now.

Thomas
Kavanagh

Data Scientist, Alkymi

Fall 2019

Read their story

Vickie
Chan

Data Scientist, Fitch Ratings

Summer 2019

Read their story

Alex
Smith

Data Scientist, Socos Labs

Spring 2018

Read their story

Monica
Ramirez

Lead Data Scientist, TAK Colombia

Spring 2018

Read their story

Carlie
Badder

Data Scientist, Avanade

Fall 2017

Read their story
VIEW ALL ALUMNI

One Hour at Bootcamp: Intro to Machine Learning

EVENT

One Hour at Bootcamp: Intro to Machine Learning

During this recorded workshop, Joe Eddy, Senior Data Scientist and instructor here at Metis, provides you with a roadmap of the most important definitions and applications of machine learning.

GET RECORDING

WORKSHOP

Most Frequently Asked Questions

  • Who can apply to the Data Science Bootcamp and what is the admissions process?

    We are currently able to accept applicants for the Data Science Bootcamp from the following U.S. states. If you are currently from a state we are not yet approved in, please proceed to submit your application and our Admissions team will follow up with you once we have updates on your eligibility. 

    The application process includes three simple steps: 1) submit an online application, 2) complete a non-technical interview with the Admissions team, and 3) complete the technical assessment.

    At each of the 3 stages, the admissions committee will review your application and determine your preparedness to succeed in our bootcamp. We assess applicants on (1) programming experience, (2) math experience, (3) communication skills, (4) personality traits of curiosity, grit, and passion, (5) motivation to join the bootcamp and (6) their potential overall fit within Metis. If the admissions committee agrees that the applicant has the potential to succeed in the program, the applicant is informed in writing of their acceptance within 2 day business days of completing the technical assessment. 

    Ready to apply? Get started here.

  • What if I don’t feel prepared to apply for the bootcamp right now?

    If you’d like to enhance your math, python, and overall data science skills prior to applying, we’d recommend considering one of our part-time bootcamp prep courses. Gain the skills you need, and apply your tuition paid from one course towards the bootcamp.


    Additionally, we highly recommend that you register for our free Metis Admissions Prep to develop your data science and analytics fundamentals!

  • Is this a full-time commitment?

    Our Online Flex format offers flexibility to learn on-your-time. The weekly time commitment is 15-20 hours and clear deadlines for assignments and projects help students stay on track.

  • What are the payment options for the bootcamp?

    Tuition for the Data Science Bootcamp is $11,000 for the Online Flex format. If accepted into Metis’ bootcamps, a deposit of $1,500 is required within 7 days of signing the enrollment agreement to secure a spot. After making the deposit, students have the option of paying in installments. We also partner with Skills Fund and Climb for affordable financing options. As our third party financing partners, they both offer several monthly repayment options for our students accepted to the bootcamp. Learn more by visiting Ascent or Climb Credit. 

    Women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military are eligible to receive a $3,000 scholarship toward their Metis Data Science Bootcamp tuition.

    *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.

  • What does Metis Career Support do to help me get employed?

    Having welcomed students to our bootcamps since 2014, our graduates work in cities and states all over the U.S., as well as across the globe. Our Career Advisors are committed to: 

    • - Work insanely hard to coach you through a pivotal career transition, which includes one-on-one meetings, workshops focused on getting you job ready, and bridge connections to our alumni network.
    • - Expose graduates to our hiring network who are looking to hire data science professionals.
    • - Provide post-session support and professional development through our Career Support Team until you are hired.
ADDITIONAL FAQ

Questions?

Read our FAQs

Get to Know Our Bootcamp Before Enrolling

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.

Explore Courses