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Data Science
in Washington, D.C.

Become a data scientist in Washington, D.C.

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

Upcoming

Program Dates

Washington, D.C.

Apr 26, 2021 - Aug 6, 2021

Closing Soon -

Washington, D.C.

Aug 9, 2021 - Nov 19, 2021

Open -

Washington, D.C.

Nov 22, 2021 - Mar 11, 2022

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 authority 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.

Launch your career as a data scientist

At Flatiron School, we teach today’s in-demand tech skills through our dynamic, immersive courses taught by experienced, passionate industry professionals online and on WeWork campuses around the world. But we don’t stop there — we pair an industry-leading 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 D.C. Data Science grads land jobs in tech

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

89%

Employment Rate

For job-seeking Washington, D.C. 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).

$98K

Starting Salary

For job-seeking Washington, D.C. 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 $41/hr (see our Jobs Report).

Where our graduates work

Logo: Crate & Barrel
Logo: ESPN
Logo: Udacity
Logo: Scholastic
Logo: sproutsocial
Logo: VIATechnik
Logo: Siemens
Logo: Avant Credit

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

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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

Meet your team

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.

Su Kim
Campus Director

Su Kim was born in Turkey, raised in South Africa, and primarily educated US. She’s worked in everything from human rights advocacy to international education and corporate governance consulting. At the center of her career has always been a desire to help others and improve lives, which makes Flatiron a natural fit.

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 Ascent and Climb, two accelerated learning financing companies. Available only to those who qualify.

$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.

Cohort start dates

Program Dates
Cohort Start DateStatus
Apr 26, 2021Aug 6, 2021Closing Soon
Aug 9, 2021Nov 19, 2021Open
Nov 22, 2021Mar 11, 2022Open

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.

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.

Frequently asked questions

You can also view our main FAQ page.

Do I need my own computer to attend Flatiron School?

Yes, you need a computer to participate in all of our programs. If you don’t have one already, we can provide you with a 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.

How long does it take to graduate?

On-campus students typically graduate in 3 1/2 months. Online students can graduate anywhere between 5 and 15 months, depending on the program you choose.

What is the schedule like for virtual campus programs at Flatiron School?

Students are required to be on campus Monday–Friday from 9 a.m.–6 p.m. During these hours, you'll be working on projects, lectures, and assignments. In addition to the required hours, most students need to invest additional time on nights and weekends to complete the work and fully understand the material. You should expect to invest at least 60 hours a week in the program.

Our campuses are generally open to students 24 hours a day and 7 days a week (except holidays), and we often find our students working hard at all hours to finish homework and projects. Students find it extremely difficult to have any other commitments during their studies, such as a part-time job.

Are there prerequisites to apply to the Data Science program?

While there are no required prerequisites to apply to our data science program and we welcome beginners, we do recommend students explore our free Data Science Bootcamp Prep before applying, as this program can be very difficult for beginners. It’s important for two key reasons:

  • The easiest way to determine if you want to pursue a career in data science is to see if you like coding.

  • We want to fill our community with people who see data science as a passion and who want to launch lifelong careers as data scientists. It’s much easier to show that you’re passionate and dedicated by taking the initiative to get started first. Even if you’ve only worked through a few lessons, showing a little effort and curiosity about data science speaks volumes in your application.

What do I learn in Flatiron School's Data Science courses?
  • Retrieve data from various sources 

  • Organize data using Python

  • Explore data and write down hypotheses for further analysis of the data

  • Perform Hypothesis and A/B tests

  • Build machine learning models that use your data to generate predictions

  • Understand how to manage and model Big Data

  • Create beautiful visualizations to present key findings

  • Learn Presentation techniques to better share conclusions about approach and analysis to key stakeholders

Change Your Career

Start your application and change your life today.

Attend an Event

Join us for a seminar or info session to see what student life is like at Flatiron School.

Chat with Admissions

Have a question about our program that we haven’t answered above? Our admissions team is here to help.