Data Science

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.

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.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. 

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.

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.

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
• 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.