Overview

Establish yourself as a data scientist

Effective learning doesn’t simply come from consuming educational content, but comes from connecting with people who are learning and teaching it. 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 NYC Data Science Bootcamp.

Uncompromising Education

From Python to Machine Learning, our 15-week data science training program gives students the breadth and depth needed to become well-rounded data scientists. Students also leave with an understanding of how to discover new techniques as their career progresses.

Career Services

With a proven framework for leading a successful job search, a robust employer network, and weekly 1:1 sessions with a dedicated career coach — our career services team is unparalleled at helping students secure the career they want upon graduation.

Exceptional Community

Flatiron classes are carefully crafted to bring out the best in students. Our NYC Data Science Bootcamp is both highly selective and deliberately diverse to inspire the creativity necessary to shine in this field.

Money-Back Guarantee

Flatiron students change careers with 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.)

Curriculum & Program Experience

Start thinking like a data scientist

This program will provide students with the knowledge, skills, and experience to get a job as a data scientist – which requires a mix of software engineering, statistical understanding, and the ability to apply both skills in new and challenging domains. The program will teach students to gather data, apply statistical analysis to answer questions with that data, and make their insights and information as actionable as possible.

Our pedagogy ensures not only job readiness for today’s market, but the aptitude and skills to keep learning and stay relevant.

Week

  • Pre-work
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • Post-work

Prework

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.

Outcomes:

  • A solid foundation in cleaning and gathering data with Python, Pandas, and SQL
  • Understanding of how to go from problem requirements to actionable steps with issue trees and experimental design

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.

Outcomes:

  • Understanding of the difference between Frequentist and Bayesian, and how to apply each
  • Ability to build and validate regression models
  • Ability to best fit a linear regression to sample data using ordinary least squares, and apply gradient descent to ordinary least squares

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.

Outcome:

  • Ability to use disparate large data sets to build classification engines

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.

Outcome:

  • A deep understanding of unsupervised techniques and how to implement supervised or unsupervised learning techniques to build recommender systems

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.

Outcomes:

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.

Career Services

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.

Alumni Community

Graduates join an active network of successful data scientists and software engineers. For Flatiron alumni, engaging with our community doesn’t stop at graduation.

Lifelong Learning

Flatiron School alumni gain lifetime access to additional curricula on Learn.co:

  • Bootcamp Prep for full-stack web development
  • Computer Science in Java
Why Data Science?

Join the fastest-growing corner of the tech industry

More than ever before, industries are capturing data on a variety of topics, behaviors, and trends. Without data science, this information stays stuck – 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.

Growth in Data Science Jobs Since 2012

650%

As this area of expertise has grown, the positions within the field become more nuanced. After completing our NYC 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 Engineer
  • Machine Learning Engineer
  • Big Data Engineer
  • Back-End Engineer
  • Natural Language Processing

“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.”

Joe Burgess

Joe Burgess

VP, Education
Student Projects

Build your data science portfolio

At Flatiron School, students learn by building. Students will come away with an advanced Portfolio Project to demonstrate their technical proficiency and creativity to current or future job managers and hiring leads.

Our course dedicates three weeks towards completion of a large-scale data science and machine learning project where students work in groups of two. The project provides an in-depth opportunity for students to demonstrate their learning accomplishments and get a feel for what working a large-scale data science project is really like.

Active Github Profile

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.

Technical Presentation

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:

  • Retrieve data from outside sources  and organize data using Python
  • Organize data into at least three different tables or equivalent grouping
  • Explore data and write down multiple hypotheses for data, and write proposal to use subset of algorithms to analyze the data
  • Building machine learning API that outputs results of analysis
  • Use big data for at least one aspect of the project
  • Present techniques and conclusions about approach and analysis in write up

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.

Meet your teachers
Instructors

Meet your teachers

We take teaching seriously. Great teachers inspire us to connect with topics on a profound level. With experience in the field and the classroom, our data science instructors are unmatched. Simply put: students learn from the best.

Teaching is a craft. Our students learn from the best instructors in the industry.

Career Services

Get a job within six months of graduation

Flatiron students get jobs, period. As a graduate of our Data Science Bootcamp, get a job within six months of graduation or get your money back (see eligibility terms). From weekly 1:1 career coaching sessions, to mock interviews, to employer introductions, the seasoned Career Services team behind our student success stories is dedicated to helping our students launch lifelong careers in data science.

Dedicated Career Coaching

Every student receives a dedicated career coach who will mentor students through an effective job search via resume review, mock interviews, and strategies for building a job opportunity pipeline and getting a foot in the door at top-choice companies.

Money-Back Guarantee

Flatiron students change careers with 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.)

A Proven Job Search Framework

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.

Admissions

Take the leap, apply now

We don’t just admit individual students to our program; we curate a community. Our students come from a myriad of backgrounds and previous career paths — insuring that a diversity of thought, experience, and perspective are not only invited, but actively sought.

Application process

What we look for

1. Apply

Submit a written application. Tell us about yourself and why you want to join our community.

Passion

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.

2. Admissions Interview

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.

Aptitude

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.

3. Technical Review

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 prework. You’ll then be notified of your status within 4 business days.

Culture

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.

Application process

What we look for

Program Dates

Questions?

Talk with our admissions team — they’re here to help.

Find the right tuition plan for you
Tuition & Scholarships

Find the right tuition plan for you

Tuition
$15,000

Scholarships

As part of our ongoing effort to support women through our Women Take Tech initiative, we are pleased to award an automatic $1,000 scholarship to women admitted to our NYC Data Science bootcamp course. We also partner with organizations on an ongoing basis to increase access to our programs through additional grants and scholarships – students are invited to apply for these opportunities upon admission to the program.

FAQ

You have questions; we have answers

  • Can I visit the Manhattan campus?

    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.

  • Can I apply for financing?

    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 Pave 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.

  • Can I chat with someone on the Admissions team?

    Absolutely! You can schedule an appointment with someone from the Admissions team here: http://www.meetme.so/flatironadmissions.

  • Do I need a computer?

    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.