New York Data Science Bootcamp | Flatiron School
hero-background-image-header

Data Science
in New York City

Learn to become a data scientist in New York.

😷 Due to current safety precautions, this course is being held remotely.

Upcoming

Program Dates

New York City

Apr 26, 2021 - Aug 6, 2021

Open -

New York City

Jun 7, 2021 - Sep 17, 2021

Open -

New York City

Jul 19, 2021 - Oct 29, 2021

Open -

Awarded Best Data Science Bootcamp for Q1 2020 by Career Karma

We’re honored and grateful that we’re a top ranked Data Science Bootcamp by Career Karma for Q1 2020, a leading ity in the bootcamp community of students. These awards were granted based on reviews from our alumni who’ve transformed their careers through our data science program.

Start your career as a data scientist in New York

At Flatiron School, we teach today’s in-demand tech skills, through our dynamic, immersive courses taught by experienced, passionate industry professionals. But we don’t stop there — we pair a rigorous curriculum with dedicated Career Services professionals who are committed to helping you find a job you love.

Curated Community

We’ve been building communities of learners since 2012. Build your network as well as your knowledge with a diverse, supportive group of peers committed to growth and change.

Passionate Instructors

Our instructors have both industry and teaching experience and are backed by our Master Teachers and Learning Experience Designers to ensure you get the best possible support.

Flexible Payment Options

Everyone deserves the opportunity to succeed, which is why we provide a variety of payment options — so you can focus on your education and your career, not your tuition. 

Our New York Data Science grads land jobs in tech

Our 2020 Jobs Report is proof that aspiring data scientists and analysts in Chicago are attending Flatiron School and launching promising new careers.

85%

Employment Rate

For job-seeking Manhattan campus Data Science graduates included in the 2020 Jobs Report including full-time salaried roles, full-time contract, internship, apprenticeship, and freelance roles, and part-time roles during the reporting period (see our Jobs Report).

$85K

Starting Salary

For job-seeking Manhattan students who accepted full-time salaried jobs during the reporting period and disclosed their compensation. The average starting salary for students who took full-time contract, internship, apprenticeship, or freelance roles and disclosed compensation was $40/hr. Average pay for a part-time role was $24/hr (see our Jobs Report).

Where our graduates work

Logo: Facebook
Logo: Apple
Logo: Google
Logo: Microsoft
Logo: NASA
Logo: Etsy
Logo: Kickstarter
Logo: New York Times
Logo: Spotify
Logo: IBM

What you'll learn: data science & machine learning

From Python to Machine Learning, our 15-week data science training program gives you the breadth and depth needed to become a well-rounded data scientist. You’ll  also leave with an understanding of how to discover new techniques as your career progresses.

Every 3 weeks you’ll be introduced to a new module that builds off the learnings of the previous section while allowing you enough time to dive into each area for a thorough understanding of the subject matter.

Week

  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
Prework Modules

The Data Science program moves quickly and our passionate students embrace that challenge. While no experience is necessary to apply, we require you to demonstrate some data science knowledge prior to getting admitted, then complete a prework course before Day 1. To help you prepare for our bootcamp, we provide a free introductory course. This prework ensures you come in prepared and are able to keep pace with the class.

Module 1 Topics

Variables, Booleans and Conditionals, Lists, Dictionaries, Looping, Functions, Data Structures, Data Cleaning, Pandas, NumPy, Matplotlib/Seaborn for Data Visualization, Git/Github, SQL, Accessing Data Through APIs, Web Scraping

Module 2 Topics

Combinatorics, Probability Theory, Statistical Distributions, Bayes Theorem, Sampling Methods, Hypothesis Testing, A/B Testing, Linear Regression, Model Evaluation

Module 3 Topics

Linear Algebra, Logistic Regression, Maximum Likelihood Estimation, Optimization Cost Function, Gradient Descent, K Nearest Neighbors, Decision Trees, Ensemble methods, Pipeline Building, Hyperparameter Tuning, Grid Search, Scikit-Learn

Module 4 Topics

Dimensionality Reduction, Clustering, Time Series Analysis, Neural Networks, Big Data, Natural Language Processing, Text Vectorization, Natural Language Toolkit, Regular Expressions, Word2Vec, Text Classification, Recommendation Systems

Module 5 Topics

Final Project

Join the fastest-growing corner of the tech industry

More than ever before, companies are relying on data to make business decisions. Without data science, these industry trends stay undiscovered — no story to tell and no insights to share. In order to determine business goals, more and more companies are looking for data scientists to fill in the gaps. Data science is one of the fastest-growing and sectors of the tech industry.

650%

Growth in Data Science Jobs Since 2012

The course will qualify you for a position as a data scientist or a data analyst. If you have a professional background in programming, you may also be able to get a position as a data engineer or a machine learning engineer.

Meet your teachers

At Flatiron School, we believe that great teachers help us understand topics on a profound level and inspire us to become continual learners. With experience in the field and in the classroom, our data science instructors are dedicated and thorough. Simply put: you learn from the best.

Sean Abu Wilson
Lead Instructor

Sean Abu joined Flatiron School after working for IBM as a Data Scientist Consultant and as a high school economics teacher. As a lead instructor, he combines his past experiences to prepare students for their future.

Fangfang Lee
Lead Instructor

After earning a Masters in Statistics from New York University, Fangfang worked as a data scientist in the public policy and start-up sectors. However, her love of teaching led her to join Flatiron School as a lead instructor.

David Braslow
Educational Development Manager, Data Science

David is a quantitative methodologist specialized in education research. He worked for the New York City DoE as a teacher and researcher, and earned his doctorate from the Harvard Graduate School of Education.

Navigate tech's top opportunities with the help of our Career Services team

At Flatiron School, you won’t just learn data science. You’ll also learn "How to be a No-Brainer Tech Hire" and effective job seeker. With 1-on-1 career coaching, a robust employer network, and a proven job search framework, our Career Services team is committed to helping you launch a career in tech.  

Individual career coaching

During your job search, you’ll meet weekly with your dedicated Career Coach. Coaches help with everything from résumé review to interview prep, and help you tell your story to land your first job.

Vast employer network

We’ve built relationships with hiring managers at top companies across the world, creating a robust employer pipeline for Flatiron School grads. Our Employer Partnerships team is constantly advocating for our grads and helping you get in the door.

Proven job-search framework

Through 1-on-1 guidance from our Career Coaching team and our tried-and-true job-search framework, you’ll gain the skills and support you need to launch your career.

Find the right tuition plan for you

You'll be able to choose from 2 different payment options

Pay upfront

Make an initial deposit of $500 to secure your seat, then pay the remainder of your tuition in one lump sum before class begins.

$16,900

$500 deposit

Maximum tuition under this plan: $16,900

Pay with a loan

Dedicated to making our programs more accessible, we offer competitive financing options through Skills Fund and Climb, two accelerated learning financing companies.

$16,900

plus interest

$500 deposit

Maximum tuition under this plan: $16,900 plus interest

The Access Scholarship

The Access Scholarship opens doors for aspiring innovators who may have experienced barriers to an education before, empowering them to enroll for $0 payment upfront. Scholarships are awarded on a monthly basis. Learn more and see if you qualify.

Join a Live Accelerated course

Program Dates
Cohort Start DateStatus
Apr 26, 2021Aug 6, 2021Open
Jun 7, 2021Sep 17, 2021Open
Jul 19, 2021Oct 29, 2021Open
Aug 9, 2021Nov 19, 2021Open

Take the leap and start your journey

Flatiron School curates a community by admitting students who bring creativity, ingenuity, and curiosity to the classroom.

Step 1 → Apply

Submit your application. Share a bit about yourself and what’s driving you to start a career.

Step 2 → Admissions interview

Speak with an Admissions representative in a non-technical interview. This is an opportunity for us to get to know each other a little better. Nothing technical — just a friendly conversation.

What do we look for in a Flatiron School student?

Step 3 → Technical review

After writing and submitting some code on Learn.co, you’ll attend a live interview session with an instructor to assess your understanding of the material.

What is a Technical Review?

Step 4 → Admissions decision

Receive your acceptance decision from Admissions. This usually happens within 4 business days.

Step 5 → Prework

If accepted, you'll begin course pre-work to prepare for the first day of class.

Learn more about data science and Flatiron School

Data Science
list of suggested vendors from which you may lease or buy a computer. Computer requirements vary by program; you can find out more information on our Computer Requirements page.