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Online Data Science

Our Online Data Science Bootcamp teaches a tried-and-true data science curriculum tailored to assure you graduate as a well-rounded data scientist. Using real-world tools, you'll learn from some of the country's top instructors.

Upcoming

Program Dates

Online

Jan 11, 2021 - Jun 4, 2021

Open -

Online

Feb 22, 2021 - Jul 16, 2021

Open -

Online

Apr 5, 2021 - Aug 27, 2021

Open -

Awarded Best Online Bootcamp for Q1 2020 by Career Karma

We’re honored and grateful that we’re a top ranked Online 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 online programs.

Start your career as a data scientist

Our online courses teach a tried-and-true data science curriculum tailored to assure students graduate as well-rounded data scientists. Using real-world tools, students learn from some of the country’s top instructors.

Comprehensive Curriculum

From the basics of Python to the complexities of machine learning, our online data science program provides the breadth and depth needed to become a skilled and versatile data scientist. But we don’t stop there: you’ll leave the program with an understanding of the future of data science so you can embark on a fulfilling, lifelong career.

Flexible Learning

Change careers online, on your schedule — choose between a full-time, part-time or self-paced course. Regardless of which pacing option you select, you’ll learn from the same curriculum.

Career Services

You deserve to find a job you love. Our proven job-search framework features 1:1 sessions with a dedicated Career Coach, a robust employer pipeline, résumé review, interview prep, and more.

Course pace options

Each course teaches a proven, living data curriculum that sets you up to be an adaptable and valuable data scientist when you graduate. Though each pace differs in time and structure, you’ll learn the same tried-and-true curriculum no matter which pace you enroll in.

The Career Fast Track

Graduate and become a data scientist in 5 months with our fastest program pace: full-time. Students will work through the 45-50 hours per week of coursework and benefit from dedicated, full-time learning.

Close-Knit Cohort & Group Learning

Students benefit from learning with a small, cohort and a dedicated Cohort Lead who teaches and mentors throughout the entire course schedule. Attend live study groups each week with your cohort lead.

Weekly 1:1 Mentorship & Instruction

Meet 1:1 for a full hour with your Cohort Lead weekly to get help breaking through tough technical concepts. Additionally, Educational Coaches serve as the Community Lead for each cohort and can help you connect with your classmates and polish your study habits.

Part-Time Structure

Graduate in 10 months at a pace that offers the same structure and rigor as our full-time option, but on a part-time schedule. Students work through a minimum of 25 hours per week of coursework and benefit from a structured schedule designed to keep them on track towards a career in code. While completing the program, students need to dedicate a part of their day-to-day in order to move through the coursework on schedule.

Assigned Cohort & Accessible Community

Students benefit from learning with a cohort of up to 40 peers, and a dedicated Cohort Lead who teaches and mentors throughout the entire program schedule. Students dedicate time to a live study groups with their cohort lead every day, with options to fit their schedule.

Educational Support & Instruction

Communicate with your Educational Coach to help you stay accountable to your goals, anchor to your motivation, and review your overall progress. Partner with your Coach on addressing challenges and striking the right balance between your coursework and the rest of your life. Your Educational Coach is a resource in addition to real-time support from our Technical Coaches via our Ask A Question feature.

Perfect for the Self-Driven Student

Our self-paced program provides the same rigorous curriculum and mastery standards of our full-time and part-time paces, but at a 100% flexible, self-guided schedule. This program most benefits students who have familiarity with data science and unpredictable schedules by providing access for up to 15 months as they guide themselves through the coursework.

Access to Mentorship Resources

Includes five sessions with an Educational Coach to help you set and stay accountable to your goals, and make steady progress at a pace that is right for you. Students also get on-demand access to Technical Coaches through the Ask A Question feature in Learn.

Join a Connected Community

Collaborate with fellow students and teachers, join live study groups, pair and chat with your peers, and access a living course that features thousands of updates a year to reflect current industry trends.

What the application process looks like

Start your journey to a career as a data scientist by joining our inclusive, dynamic student community. At Flatiron School, we admit students who bring creativity, ingenuity, and curiosity to the classroom — all you need is passion and an open mind.

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 → Data science admissions assessment

The quiz was designed to give you the opportunity to self-assess the prerequisite knowledge needed to join the program, categorized into three main types: programming questions, statistics questions, and math questions.

The assessment consists of 8 questions, either multiple choice or short answer text. The test should take a minimum of 30 minutes to complete.

After completing the assessment, your admissions representative will follow up with you within two business days with next steps.

Step 4 → Admissions decision

Receive your acceptance decision from Admissions. This usually happens within a couple of days.

Step 5 → Enroll

When you enroll, you'll choose the pace that best suits you. Our admissions team is happy to discuss this decision with you.

What you'll learn: data science & machine learning

From Python to Machine Learning, our online 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 module, you’ll be introduced to a new topic 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.

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 teachers

At Flatiron School, we take teaching seriously and know that 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: you’ll learn from the best.

Alison Peebles
Master Instructor

Alison has private and public sector experience as a statistician, consultant, and Data Scientist. She’s taught data mining and built curriculum at Carnegie Mellon for the Masters of Science in Information Technology students.

Lore Dirick
Curriculum Writer

Lore earned her PhD in Business Economics and Statistics at KU Leuven, Belgium and has a thorough background building out R and Python data science curriculum.

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.

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.

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Find the right tuition plan for you

You'll be able to choose from 4 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.

$15,000

$500 deposit

Maximum tuition under this plan: $15,000

Pay in installments

Make an initial deposit of $500 up front, then pay your tuition balance via 12 monthly installments with no interest.

$15,000

including $500 deposit

Learn How It Works

Maximum tuition under this plan: $15,000

Pay with a loan

Dedicated to making our programs more accessible, we offer financing options through Skills Fund and Climb, two accelerated learning financing companies. Available only to those who qualify.

$15,000

plus interest

$500 deposit

Maximum tuition under this plan: $15,000 plus interest

Pay only after you're getting paid

Defer your tuition with the Flatiron School Income Share Agreement (ISA), available to those who qualify. After you make a deposit, the remainder of your tuition is paid once you've left the program and are getting paid at least a minimum income.

You'll be able to choose from 3 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.

$9,600

$500 deposit

Maximum tuition under this plan: $9,600

Pay in installments

Make an initial deposit of $500 up front, then pay your tuition balance via 12 monthly installments with no interest.

$9,600

including $500 deposit

Learn How It Works

Maximum tuition under this plan: $9,600

Pay with a loan

Dedicated to making our programs more accessible, we offer financing options through Skills Fund and Climb, two accelerated learning financing companies. Available only to those who qualify.

$9,600

plus interest

$500 deposit

Maximum tuition under this plan: $9,600 plus interest

When courses begin

Program Dates
Cohort Start DateStatus
Jan 11, 2021Jun 4, 2021Open
Feb 22, 2021Jul 16, 2021Open
Apr 5, 2021Aug 27, 2021Open

Frequently asked questions

Are there prerequisites to apply to Online Data Science Bootcamp?

While there are no prerequisites to our online data science course and we welcome beginners, we do recommend exploring our free Data Science Bootcamp Prep course before applying. 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. It’s impossible to know that if you’ve never written a line of code.

  • We want to fill our online community with people who are who see data science as a passion, people 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.

Should I attend your in-person or online bootcamp? What’s the difference?

That depends on a few important factors. What’s your learning style? Where are you in life right now? What kind of experience are you looking for?

We recommend thinking of it like exercise. Some people just need a pair of sneakers and can run outside. Some people want access to the best equipment so they join a gym, or to be part of a community and they do Crossfit. Some people want to take organized classes, and some need to go away for yoga retreats and focus on nothing but that. Ultimately, there’s no right or wrong way to get fit. It’s about knowing your goals and knowing what brings the best out of you.

The same is true with learning. Do you want a rigid schedule or to learn at your own pace? Do you do better in a quiet environment or surrounded by people? Do you want to focus on this full time or not?

Here are a few other things that may help:

  • Location

    Do you live in New York City where we offer our in-person course or are you willing to move here  for the duration of the program? Flatiron School’s in-person students spend 15 weeks of intensive work at our NYC campus, whereas online students can learn anywhere they have a solid internet connection. (Note that in order to be eligible for both Flatiron School’s job guarantee, you must be 18 or older and legally able to work in the US or the U.K.)

  • Pace

    Do you prefer to immerse yourself in a flood of information, or take things at your own pace? Our in-person immersive and full-time online course progresses very quickly, though with robust pre-work and plenty of resources to help you along the way. With our part-time and self-paced Online Data Science Bootcamps, you can move at a pace that works for you and around your schedule. You can also decide whether it’s worth your time to quit your job and pursue these studies full-time or to fit your studies around your job.

End Goal: All programs are focused on teaching you the skills you need to get your first job as a data scientist.

What's the application process like?

The first step is to fill out a written application. Once submitted, you should hear back from our admissions team on the next step within 2 business days. If your application is chosen to move forward, you will be invited to schedule a video call with a member of the admissions team to get to know you better. Afterwards, students applying to a full-time or part-time course must complete the data science admissions assessment. After this point, students you will receive an admissions decision within a few business days. 

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 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.