Course Start Dates
| Start Date | Pace | Campus | Status | |||
|---|---|---|---|---|---|---|
| August 29, 2022 | Part-Time | Online | Few Spots Left! | |||
| September 19, 2022 | Part-Time | Online | Open | |||
| September 19, 2022 | Full-Time | Online | Open | |||
| September 19, 2022 | Full-Time | New York City | Open | |||
| October 10, 2022 | Part-Time | Online | Open | |||
| October 31, 2022 | Part-Time | Online | Open | |||
| October 31, 2022 | Full-Time | Online | Open | |||
| October 31, 2022 | Full-Time | New York City | Open | |||
| November 21, 2022 | Part-Time | Online | Open | |||
| December 12, 2022 | Part-Time | Online | Open | |||
| December 12, 2022 | Full-Time | Online | Open | |||
| December 12, 2022 | Full-Time | New York City | Open | |||
| More Dates | ||||||
An Exceptional Learning Experience
Awarded Best Coding Bootcamp 2021
Awarded Best Data Science 2021
Awarded Best Cyber Security Bootcamp 2021
Awarded Best Online Bootcamp 2021
Learn the skills to kickstart your data science career.
Data Analysis & Engineering
You’ll learn basic Python programming, how to use Jupyter Notebooks, and will be familiarized with popular Python libraries that are used in data science. To organize your data, you’ll learn about data structures, relational databases, ways to retrieve data, and the fundamentals of SQL for data querying structured databases.
Items covered:
- 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
Scientific computing & Quantitative Methods
You’ll learn about the fundamentals of probability theory like combinations and permutations. You’ll also learn about statistical distributions and how to create samples, then apply this knowledge by running A/B experiments. Lastly, you’ll build your first data science model using linear regression.
Items covered:
- Combinatorics
- Probability Theory
- Statistical Distributions
- Bayes Theorem
- Sampling Methods
- Hypothesis Testing
- A/B Testing
- Linear Regression
- Model Evaluation
Machine Learning Fundamentals
You’ll learn about regression analysis and a new form of regression — logistic regression. You’ll also learn about penalization terms, preventing overfitting through regularization, and using cross-validation to validate regression models.
Items covered:
- Linear Algebra
- Logistic regression
- Maximum Likelihood Estimation
- Optimization Cost Function
- Pipeline Building
- Hyperparameter Tuning
- Grid Search
- Scikit-Learn
- Gradient Descent
- K-Nearest Neighbors
- Decision Trees
- Ensemble Methods
Advanced Machine Learning
You’ll be introduced to threading and multiprocessing to be able to work with big data. In doing so, you’ll learn about PySpark and AWS, and how to use those tools to build a recommendation system. You’ll also learn about densely connected neural networks and sentiment analysis.
Items covered:
- Dimensionality Reduction
- Clustering
- Times Series Analysis
- Neural Networks
- Big Data
- Natural Language Processing
- Text Vectorization
- Natural Language Toolkit
- Regular Expressions
- Word2Vec
- Text Classification
- Recommendation Systems
Data Science Project
In your final project, you’ll work individually to create a large-scale data science and machine learning project. This final project provides an in-depth opportunity for you to demonstrate your learning accomplishments and get a feel for what working on a large-scale data science project is really like.
Choose a course pace that works for your life. Learn full-time or at a part-time pace.
Learn a life-changing skill at your pace. Your admissions representative will help you choose the option that makes sense for you.
Full-Time
You’ll learn data science skills on a fixed full-time schedule: roughly 8 hours a day, Monday through Friday, for 15 weeks. You will interact with students and instructors, learning both collaboratively and solo.
- 15 weeks long.
- Daily touchpoints with your cohort, group work with instructor help, paired programming sessions, lab time with instructional staff, and community support.
- Best for students who want to learn in live lectures, keep a structured schedule, or who enjoy learning in a community with other students.
- Available in-person and online.
- Also known as our Live program.
Part-Time
You’ll learn data science skills on your own schedule over 40 weeks. You will have access to study groups and one-on-one instructor sessions.
- 40 weeks long. Set your own hours.
- Mostly recorded lectures, with optional live weekly lectures and office hours, weekly check-ins with instructors, chat with classmates and instructors via Slack.
- Best for working professionals that need to fit classes into their already-busy schedule.
- Available online only.
- Also known as our Flex program.
Now offering prep courses.
Find the location for you.
Learn online from anywhere or at one of our campuses across the country.
Get the syllabus.
Real-world preparation
Our data science courses aren’t for people who think they’ll land their dream data job without much effort. Flatiron School is for driven students who understand that they’ll need to put in the work for elevated outcomes. You’ll graduate with a portfolio of real-world projects to show for your job search.
Career coaching for 180 days
We’re committed to your success. That’s why we include up to 180 days of 1:1 career coaching. Meet with your Flatiron School career coach regularly to optimize your job search. Your coach can help with interview prep, resume reviews, and building your personal brand.
Access to a vast employer network.
Some of the most influential tech companies in the world hire our Flatiron School grads. Take advantage of Flatiron School’s global network of hiring managers.
Your dream data science role is within reach, but it takes real work. Our courses are immersive and intensive, but they will prepare you for a fulfilling tech career. Our career coaches offer actionable advice and insight to help you land a role where you can make a genuine impact and take control of your future.
Our grads work for some of the most influential companies in the world
Learn with a community.
Flatiron School offers award-winning courses and proven outcomes. But the beauty of Flatiron School is that you learn in-demand skills while also networking with a community actively rooting for your success.
Flatiron School offers award-winning courses and proven outcomes. But the beauty of Flatiron School is that you learn in-demand skills with the support of the community — that we call the Flatiron Family. From our employer partners down to your cohort mates, our community is actively rooting for your success.
Experienced Instructors
Dr. Thiessen specializes in developing risk prediction models that assist healthcare professionals and their patients. She is passionate about helping students understand the concepts of Data Science and Machine Learning.
“My favorite project would have to be working for a client in order to help predict substance abuse relapse. Creating this predictive model was very impactful and was the true essence of “Data for Good.”
“I was proud to work on a Food Environment project where we applied data from different sources — CDC, Yelp API, U.S. Census Bureau — to investigate the effect of ‘Food Environment’ of a particular region and health outcomes.”
“My favorite project was modeling and counting the different possible final standings for a group of soccer teams at the World Cup.”
How to Apply
Step 1: Apply
Submit your application. Tell us about yourself and why you’re interested in this career.
Step 2: Interview
Speak with an admissions representative. This is a non-technical interview, and is an opportunity to learn more about our program. Here’s what you can expect in the admissions interview.
Step 3: Admissions Assessment
Complete a 15-minute critical thinking and problem-solving assessment. Find out how to pass the assessment.
Step 4: Admissions Decision
Typically within 4 business days, you will hear from our team if you’ve been accepted.
Step 5: Prework
If accepted, you will begin “pre-work” that may need to be completed before the first day of class. Pre-work consists of approximately 40 hours of lessons and labs to prepare you for the course.
Tuition
No matter what discipline or pacing option you choose, all of our programs are available at one price, with 3 ways you can pay.
- $16,900
- $500 deposit
We have 3 easy ways you can pay for tuition.
- Pay upfront
- Pay with a loan
- Pay in 12 monthly installments
Scholarships & Diversity Initiatives
We believe that everyone who is willing to work hard deserves an opportunity to break into tech. That’s what we offer scholarships to support diversity in tech — from our access scholarship to programs to support underrepresented groups in tech. See Scholarships
Learn more about Data Science
Frequently Asked Questions
Data science bootcamps offer a lot of opportunity for anyone looking to break into data science. Though different bootcamps and courses vary, most of them have one goal: to help you learn the skills you need to become a professional data scientist.
Your responsibility is to find a course that teaches you the right skills in a style that aligns with your learning style. That’s why, at Flatiron School, we offer courses full-time and part-time, on-campus and online.
If you have a clear vision into your career ambitions, find a course that teaches you the math skills & languages and other data science skills that align with those ambitions. If you do your research well and attend the right place that works for you, then attending a bootcamp is definitely the right choice.
Basically, if you want to become a data scientist, then good bootcamps — and especially Flatiron School — are a good choice for you.
Each data science bootcamp varies — they teach you different skills, languages, disciplines, all in different ways and styles — but generally the term “data science bootcamp” means an accelerated learning program that helps students learn the skills they need to become data scientists.
If you consider “working” to mean that a bootcamp helps you land a new data science job and career, there is a lot of proof that our courses work.
But if you want to just dabble in some data analytics but aren’t looking to switch into a data career, then perhaps a data science bootcamp isn’t the right option for you. Bootcamps take a lot of commitment, time, and discipline to excel at — it’s the type of commitment that would make sense for someone who wants to start a new career, but probably not for someone who’s just interested in learning a couple of new skills or hobbies.
But if you’re looking to start a career in data science, then good data science bootcamps are a good and efficient route to pursue that ambition.
The Flatiron School Career Services team exists to help get you hired. We do this in two ways:
- Empowering stand-out job-seekers to learn to be no-brainer hires → this is what your Career Coach does!
- Building a nationwide network of hiring partners → this is what the Employer Partnerships team does!
You will have an initial meeting with your career coach during the program to get acquainted with the process. Once you’ve graduated from the program you’ll work with your Career Coach on how to maximize your opportunities and efforts for landing a job. It is important to note that, like with our course, you must come prepared and committed. Your Coaches will help you to get organized and prepare you for interviews, but it is up to you to do the heavy lifting as well.
You have a few options in terms of financing your enrollment in one of Flatiron School’s courses. See all of your options on our Tuition & Financing page.
We also offer initiatives that can help to offset the cost of tuition on our Scholarships and Diversity Initiatives page.
If you would like to connect with a member of our team, please simply schedule a chat with one of our admissions representatives.
You can view our latest job placement rates in our Jobs Report.
Our commitment to honesty and transparency is stronger than ever. That’s why we continue to release third-party examined Jobs Report each year.