In 15 weeks, learn the skills you need to be one of tech’s most sought-after employees. As with all our career-change courses, our immersive Data Science program has a money-back guarantee — see the eligibility details here.
Quality learning comes at the intersection of diligence and curriculum. With that vision in mind, Flatiron School has brought together passionate, experienced instructors and ambitious students to achieve incredible outcomes since 2012. And now we’re bringing that vision to data science with our Seattle Data Science Bootcamp.
From the basics to the most complex data science practices, our 15-week data science training program gives students the scope of skills needed to become well-rounded data scientists. Students also leave with an understanding of the future of data science so they can embark on fulfilling, lifelong careers.
Job searches can be intimidating — and we get it. With Flatiron’s proven framework for leading a successful job search, and regular 1:1 sessions with a personal Career Coach, students have unparalleled support while breaking into the data science industry.
Flatiron classes have one goal: to give students the ideal environment to become exceptional data scientists. Our Seattle Data Science Bootcamp is both highly selective and deliberately diverse to inspire the creativity and discipline necessary to shine in the field of data.
Change careers with confidence thanks to our money-back guarantee: if you don’t receive a job offer within six months of graduation, we’ll fully refund your course tuition. That way your success is our success. (See eligibility terms.)
This program will provide students with the tools, skills, and expertise necessary to get a job as a data scientist. Master a mix of software engineering and statistical understanding, then apply both skills in new and challenging domains.
Our pedagogy ensures not only job readiness for today’s data market, but the aptitude to continue learning and stay relevant into the future.
Our program moves quickly and Flatiron’s passionate students embrace that challenge. While no experience is necessary to apply, we require students to demonstrate some data science knowledge prior to getting admitted and to complete a prework course before Day 1. To help students prepare for our bootcamp, we provide a free introductory course. This ensures students come in prepared and are able to keep pace with the class.
Students will gain an overview of the skills required to be a Data Scientist: data gathering and cleaning, analysis using probability and summary statistics, and data visualization. Fundamental concepts in programming using Python and SQL will be covered, along with functions and object orientation, writing, scraping, and regular expressions.
Building on the data exploration and analysis of the first three weeks, students will go deeper by learning Bayesian and Frequentist statistics. Students will go into regression analysis, learning about linear and logistic regression, and how to build regression models — including how to solve linear regression with gradient descent.
Students will move into supervised learning, non-parametric algorithms like k-nearest-neighbors and support vector machines. Introduction to threading and multiprocessing to work with big data will be covered — in doing so, students will learn about Apache Spark and Apache Spark on AWS.
Students will also learn about decision tree learning and how it can be applied to classification and regression tree analysis, as well as how to conduct time series analysis using Pandas.
Students will move to unsupervised learning, how to simplify their machine learning models, and how to accommodate for imbalanced data. Building recommender algorithms using collaborative filtering, matrix decomposition, clustering, and deep learning approaches will also be covered.
Students will work on and complete a solo final project as an opportunity to review and push deeper into the material covered in the previous modules. Along the way, coursework will emphasize project management techniques in data science, as well as presenting and communicating a data science project to a non-technical audience.
How to construct a project that gathers, explores, builds statistical or machine learning models to deliver insights and communicate findings with data visualization and storytelling techniques.
Our Career Services team has helped over 1,000 students secure positions via a proven framework for job-seeking, and a team of Career Coaches and Employer Partnerships advocates who work with and on behalf of our students and grads. When it’s time to prepare for the job search, students work one-on-one with a dedicated Career Coach to build the collateral and skills they’ll need to succeed — including resume creation, crafting a narrative about your journey into data science, counseling on how to open conversations with employers, and practice interviews to hone your networking and interviewing skills.
Graduates join an active network of successful data scientists and software engineers. For Flatiron alumni, engaging with our community doesn’t stop at graduation.
Flatiron School alumni gain lifetime access to additional curricula on Learn.co:
Our Career Services team has helped over 1,000 students secure positions via a proven framework for job-seeking, and a team of Career Coaches and Employer Partnerships advocates who work with and on behalf of our students and grads. When it’s time to prepare for the job search, students work one-on-one with a dedicated Career Coach to build the collateral and skills they’ll need to succeed — including resume creation, crafting a narrative about your journey into data science, counseling on how to open conversations with employers, and practice interviews to hone your networking and interviewing skills.
Graduates join an active network of successful data scientists and software engineers. For Flatiron alumni, engaging with our community doesn’t stop at graduation.
Flatiron School alumni gain lifetime access to additional curricula on Learn.co:
More than ever before, industries are relying on data and behavior patterns to make business decisions. Without data science, these trends stay undiscovered — no story to tell and no insights to share. In order to determine business goals, more and more companies are looking to data scientists to fill in the gaps and find opportunities never before considered or understood.
Over the last 4 years, the rise of job opportunities for data scientists has become almost level to those traditionally seen for software engineering positions.
Not only are data scientist jobs increasing, but so are the various specialities under their umbrellas. After completing our Seattle Data Science Bootcamp, students will not only be able to secure a job as a data scientist, but can also consider pursuing any of the following related positions:
“Data Science is leading the way in changing how people and businesses make decisions. With that in mind, we’ve developed a curriculum that teaches the skills necessary for the field, but also creates an environment that cultivates the curiosity all great data storytellers share.”
At Flatiron School, students learn by building. They come away with an advanced Portfolio Project to, which provides the opportunity to demonstrate their technical expertise to future employers and to have their first real big-data experience under their belt.
GitHub is the modern source of technical resumes. Students push every line of code they write at Flatiron School to GitHub through our proprietary platform, Learn.co, giving them an extensive profile to show employers and fellow data scientists.
Students build their credibility as data scientists and immerse themselves by attending — and challenging themselves to present — at Flatiron School campus events.
GitHub is the modern source of technical resumes. Students push every line of code they write at Flatiron School to GitHub through our proprietary platform, Learn.co, giving them an extensive profile to show employers and fellow data scientists.
Students build their credibility as data scientists and immerse themselves by attending — and challenging themselves to present — at Flatiron School campus events.
Final projects will be unique for each student-pairing and determined in partnership with their instructor. Specifically, projects are required to have the following items to meet the minimum bar of difficulty:
Examples of final projects could be building a better search engine for a travel site (such as Airbnb or Kayak) or an examination of a global interest utilizing data visualization and topic modeling.
We take teaching seriously. We always have since we launched in 2012. Great teachers inspire us to understand topics on a profound level. With experience both in the field and in the classroom, our data science instructors are dedicated and thorough. Simply put: students learn from the best.
Teaching is a craft. Our students learn from the best instructors in the industry.
Flatiron students get jobs — guaranteed. As a graduate of our Data Science Bootcamp, get a job within six months of graduation or get a full tuition refund (see eligibility terms). From regular 1:1 career coaching sessions, to interview prep, to employer introductions, our seasoned Career Services team behind students’ success is dedicated to helping students launch lifelong careers in data science.
Every student has a personal Career Coach who mentors them through an effective and successful job search.
Flatiron students change careers with total confidence thanks to our money-back guarantee: you’ll receive a job offer within six months, or we’ll refund your full tuition. (See eligibility terms.)
After years of helping students get hired, we’ve developed a proven framework for leading a successful job search. Nearly every single student who has followed these guidelines has been hired.
Flatiron curates a community by admitting students who bring creativity, ingenuity, and curiosity to the classroom.
Application process
What we look for
First step: submit a written application to our Admissions team. Tell us about yourself and why you want to learn to become a data scientist in Seattle.
We love data science. We bring together people who see it as a craft and want to be great at it — not just for their careers or as a means to an end, but as an end in and of itself.
Chat with an Admissions Advisor in this explicitly non-technical interview. This is an opportunity for us to get to know each other a little better. Nothing technical — just a friendly conversation.
Flatiron students are driven. While we look for students with an ability to transfer between different skill sets easily — above all, aptitude for data science is built around having an innate curiosity for the world and how people live in it.
After writing and submitting some code on Learn.co, you’ll attend a live coding session with an instructor to assess your understanding of the material covered in the pre-work. You’ll then be notified of your status within 4 business days.
We don’t admit students. We craft a class. A lawyer, journalist, and pro athlete will do more interesting things together than three of any one background.
First step: submit a written application to our Admissions team. Tell us about yourself and why you want to learn to become a data scientist in Seattle.
Chat with an Admissions Advisor in this explicitly non-technical interview. This is an opportunity for us to get to know each other a little better. Nothing technical — just a friendly conversation.
After writing and submitting some code on Learn.co, you’ll attend a live coding session with an instructor to assess your understanding of the material covered in the pre-work. You’ll then be notified of your status within 4 business days.
We love data science. We bring together people who see it as a craft and want to be great at it — not just for their careers or as a means to an end, but as an end in and of itself.
Flatiron students are driven. While we look for students with an ability to transfer between different skill sets easily — above all, aptitude for data science is built around having an innate curiosity for the world and how people live in it.
We don’t admit students. We craft a class. A lawyer, journalist, and pro athlete will do more interesting things together than three of any one background.
Talk with our admissions team — they’re here to help.
Dedicated to making our programs more accessible, we offer competitive financing options through Skills Fund and Climb, two industry-leading accelerated learning financing companies.
All students enrolled in the inaugural April in-person Data Science program will qualify for an automatic $5,000 scholarship.
With an Income Share Agreement, you pay nothing toward your tuition until after you’ve graduated and accepted your first job offer. You don’t pay until you’re earning income. All we need is a refundable deposit before class begins to lock in your seat.
As a part of our ongoing effort to support diversity in tech, Flatiron is pleased to offer various scholarships to qualified women, minorities, and veterans, as well as merit-based scholarships. Schedule a Q&A with our Admissions team to hear more about our open scholarships.
We offer tours and info sessions on a regular basis, and you can register on our community page. If our event times don’t work for you, please email admissions@flatironschool.com to schedule an appointment at an alternative time.
Once you have been accepted into the program, you may apply for financing through one of our lending partners. We work with Skills Fund and Climb, who have helped many Flatiron students secure loans. We recommend waiting until after you have been accepted into the program before applying for a loan.
Absolutely! You can schedule an appointment with someone from the Admissions team here: http://www.meetme.so/flatironadmissions.
For the in-person courses, we work on Mac laptops with the latest OS installed. If you don’t have one already, we can provide a loaner. For online courses, you do need your own computer, but it can be either a Macbook or a PC. You can view the minimum required technical computer specs for all courses here.