We’re honored and grateful that we’re a top ranked Data Science Bootcamp by Career Karma for Q1 2021, 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.
Course Report takes many factors into consideration – alumni and student reviews, transparency around job placements, financing options, and commitment to diversity, just to name a few. We are proud to be recognized on this prestigious list.
Change your life with our San Francisco data science bootcamp — just choose your pace
Everyone lives life at a different speed, which is why our San Francisco data science bootcamp is offered at different paces. You can learn the skills you need to become a data scientist full-time or part-time, on-campus or online — just pick the course that works with your schedule, lifestyle, and learning style.
One data science program, multiple ways to learn
What learning pace works best for you: full-time or at your own pace? We all have different learning styles and schedules — our structured full-time pace is the learning fast-track while our Flex program is designed for students planning to learn at a more flexible pace.
 Full-Time |
 Flexible |
|
|---|---|---|
Data Science Live |
Data Science Flex |
|
Learn full-time. Think of this one as the fast-track schedule with lots of accountability. You’ll attend live lectures and work on projects both solo and with others from your cohort. |
Learn at your own pace. Think of this one as working with your already-busy schedule. Flexibility is the name of the game here. It’s the same curriculum as our full-time program, but you set the pace. |
|
| How long? | 15 weeks | 20, 40, or 60 weeks |
| Daily schedule: | 9 hours/day, M–F (including lunch and breaks) |
Set your own schedule & work independently. Sign up for optional study groups or 1:1s with an instructor. |
| Best for: | Students that want to lean into live lectures, a structured schedule, and learning in community with other students. | Working professionals that need to fit class into their already-busy schedule. Choose the pace that works best for your life. |
| Location: | On-campus* and online | On-campus* and online |
Enjoy a learning community on our San Francisco campus and online
*Due to the pandemic, all courses are currently offered online. With campuses around the country, we’ll soon reopen our spaces where you can connect with fellow students and alumni, find quiet studying space, and attend networking and workshop events. Programs can be completed from home, with the option to be on-campus as our locations reopen. Learn more about the campus experience.
One curriculum, no matter which pace you choose
If accountability, a set schedule, and dedicated classmates match your learning style, we suggest learning full-time. But if you have a packed schedule and flexibility is what matters most to you, we recommend choosing our Flex program.
No matter which pace you pick, you'll learn our tried-and-true curriculum proven to help students land jobs and start promising data science careers.
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
Matlotlib/Seaborn for Data Visualization
Git/Github
SQL
Accessing Data through APIs
Web Scraping
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
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
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
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.
Pick a start date that fits your schedule
In our full-time courses, you'll have access to a virtual classroom where you’ll interact with your instructors and fellow students on a fixed, full-time schedule: 9 hours a day, Monday through Friday, for 15 weeks.
If you select the Flex schedule, you have the option of 20, 40, or 60 weeks and can change your learning pace at any point. That way, if your schedule changes and you'd like to learn at a faster pace — or more slowly — you have the flexibility to make that change. All Flex courses are for students in any time zone.
Once you apply, you'll work with your admissions representative to select the pace and start date that best fits your timeline, so you can start learning to become a data scientist in a way that makes sense for you.
| Cohort Start Date | Pace | Length | Status |
|---|---|---|---|
| Nov 1, 2021 – Varies | Flexible | 20, 40, or 60 Weeks | Closing Soon – |
| Nov 22, 2021 – Mar 11, 2022 | Full-Time | 15 Weeks | Open – |
| Nov 22, 2021 – Varies | Flexible | 20, 40, or 60 Weeks | Open – |
| Dec 13, 2021 – Varies | Flexible | 20, 40, or 60 Weeks | Open – |
| Jan 10, 2022 – Apr 22, 2022 | Full-Time | 15 Weeks | Open – |
| Jan 10, 2022 – Varies | Flexible | 20, 40, or 60 Weeks | Open – |
A San Francisco data science bootcamp with passionate instructors and seasoned Career Coaches
Learning something new is best done with others. And even while we're all learning online because of the pandemic, our San Francisco data science bootcamp is designed to combine flexibility with community so you're never alone and support is always available.
Experienced data scientists with a passion for teaching
Since day one over seven years ago, we’ve taken teaching seriously. Great teachers inspire us to connect to topics on a profound level, but development experience alone doesn’t necessarily make someone an effective teacher. That’s why we’re passionate about finding not only great data scientists, but deeply committed teachers.
Whether you learn data science with our full-time program or at your own flexible pace, you'll learn from the best.
Greg has an extensive background in academia and has taught and studied various subjects in addition to data science, turning to data science for good in 2016. He’s passionate about data science’s growing role in our daily lives.
Erin’s previous work involved researching AI interpretability from a human-centered design perspective. She sees helping students understand difficult technical topics as a fun, rewarding design challenge. Outside of teaching, Erin runs a laser art design studio.
Norman has many years of experience in academia and socioeconomic research. He strongly believes that "data-driven decisions" are the key to resolving most of the abstract problems in our lives. His passions lie in data science and in using data to identify intuitive insights to guide business decisions.
Navigate data science's top opportunities with the help of our Career Coaching team
After many years working with passionate students and helping them land fulfilling careers in tech, we’ve got a keen understanding of what goes into getting that first data job. Graduate both with the skills to succeed as a data scientist and the know-how to land your first job.
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.
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.
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.
Where Flatiron School grads get hired
Not all data science bootcamps are created equal. Flatiron School alumni have gone on to work at some of tech's most influential and innovative tech companies.
Meet our alumni who changed their lives through data science bootcamps
Succeeding in a data science bootcamp takes passion and hard work. Meet some data science alumni and learn how Flatiron School helped change their lives.
Meet Flatiron School alum and Eve.io data scientist Shuyu Wu.
Meet Data Science grad the former opera singer and Dartmouth data scientist, Chris R.
What the application process looks like
Our application process is five steps from when you apply to when you begin preparing for class. After you apply, a member of our Admissions team will reach out to chat about your goals, and then you'll be given some questions to assess how you approach problems and solutions. After that, you'll receive your admissions decision.
Submit your application. Share a bit about yourself and what’s driving you to start a career.
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. Here’s what you can expect.
Complete a 15-minute critical thinking and problem-solving assessment. Find out how to pass the assessment.
Receive your acceptance decision from Admissions. This usually happens within 4 business days.
If accepted, you'll begin course pre-work to prepare for the first day of class.
Data Science pre-work consists of 20-40 hours of lessons and labs covering the basics of Python (including loops and functions), statistical measures such as central tendency and dispersion, and building data visualizations using matplotlib and seaborn.
Find the right tuition plan for you
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.
$16,900
$500 deposit
Maximum tuition under this plan: $16,900
Pay with a loan
$16,900
plus interest
$500 deposit
Maximum tuition under this plan: $16,900 plus interest
Pay in installments
Make an initial deposit of $500 up front, then pay your tuition balance via 12 monthly installments with no interest.
Maximum tuition under this plan: $16,900
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.
$16,900
$500 deposit
Maximum tuition under this plan: $16,900
Pay with a loan
$16,900
plus interest
$500 deposit
Maximum tuition under this plan: $16,900 plus interest
Pay in installments
Make an initial deposit of $500 up front, then pay your tuition balance via 12 monthly installments with no interest.
Maximum tuition under this plan: $16,900
Current scholarships and diversity initiatives
You could be eligible for one of the programs listed below. Whether it’s with a partner or through our own initiatives, we’re committed to making a life-changing education accessible.
Flatiron School’s partial scholarship enables students to enroll for $0 upfront. Available for all courses globally.
Learn More
We’re closing the tech gender gap with the National Center for Women & Information Technology (NCWIT). Their full-tuition scholarships to women in Michigan and Alabama for our Full-Time and Part-Time Online Software Engineering, Data Science, and Cybersecurity courses.
Learn MoreLearn more about our San Francisco data science bootcamp
Data and data scientists are more important than ever for companies across every industry. Dive deeper into the different aspects of data and analysis, data science bootcamps, the future outlook for data science, and more.
Frequently asked questions about our San Francisco data science bootcamp
Start your application to Flatiron School and change your life today.
Apply Now
Join us for a seminar or info session to see what student life is like.
See Events
Have a question about our program that we haven’t answered above?
Schedule a Chat