The Data Incubator

Data Scientist: The Sexiest Job
of the 21st Century
Harvard Business Review

Our 2021 Winter Cohort will be moved online for everyone's safety. We will continue to monitor the situation and will keep everyone up to date on any changes. We can ensure that our online students receive the same care and attention as those attending in person, as we have many years of experience running an online cohort. We strongly encourage you to apply.

Data Science Fellowship Program

Your Data Career Is Waiting

Do you have what it takes to become a leading data scientist?

The Data Incubator Fellowship Program is an immersive data science bootcamp for those with STEM degrees and a passion for data looking to take the business world by storm. Choose from our full-time, 8-week program, or our new part-time, 20-week program (evenings only) when you apply.

The Fellowship Program

The time you spend in The Data Incubator Fellowship Program are going to be tough. They're going to be rigorous. They're going to be amazing.

You'll work closely with our expert instructors and fellow students to master in-demand skills to help launch your career in data science.

We don't do theory. Each program includes several projects that showcase your world-class data science skills. Plus, you'll work with real-world data for each project to solve real-world business problems.

On top of that great skills training, you'll work on your capstone project. Choose the public data set that sparks your interest and build a functioning tool to show off your talents to future employers.

Here are some of the exciting capstone projects we've seen from past graduates:

  • A website that helps you find a movie for your date night
  • A tool to predict where to grow the best crops using NASA climate prediction data
  • A tool to detect spam reviews on Amazon
  • A website that uses Google Trends to predict stock prices

Not sure if your data skills are ready for the Fellowship program? Looking for a class to help you level up your data skills? Check out Data Science Essentials. Learn More

Introducing: The Part-Time Bootcamp

Work or other commitments make it difficult to attend our full-time bootcamp? Then check out our new part-time program.

You'll get the same great training, instructors, and career boost as our full-time program, but with even more flexibility.

The part-time program:

  • Lasts 20 weeks
  • Takes place in the evenings Monday and Thursday from 7:00 PM ET to 9:30 PM ET, with office hours held each week
  • Allows you to work full-time while advancing your data science career
  • Includes TDI data scientist certification
  • Offers the same curriculum and career services as our full-time program

Tell us your preference for full-time or part-time on your application.

Apply Now

Your Future Awaits

We don't just give you the tools you need to succeed in the business world - we help you find your first data science role.

82% of our students are employed within 6 months of completing the program, working for companies like:

Freddie Mac
DSW
Foursquare
Jackson Lewis
Squarespace
Genentech
Foot Locker
Fresenius Medical Care

But it's not just the big names, it's companies of all shapes and sizes where you can make a real impact in a variety of industries:

  • AI
  • Energy
  • Finance/Fintech
  • Healthcare
  • Law
  • Marketing
  • Advertising
  • Retail
  • Software
  • Technology

Wow Your Next Boss

Work with a career coach to craft the perfect resume and hone your interview skills so you can shine in front of potential employers.

Get the chance to meet and mingle with our hiring partners at our mixer events, held during each cohort.

Build a network of fellow data scientists and broaden your connections so you can find the right role for you. Nearly 80% of jobs are found through your network, according to LinkedIn, and we'll help you expand your world.

Hands-On Training from Expert Instructors

Our data science instructors work side-by-side with you to help you build the skill set you need to succeed. Our instructors come from MIT, Harvard, Stanford, and other esteemed educational institutions, and they've worked at world-class organizations.

Get the skills you need to achieve your career goals. Over the course of our 8-week program, you'll master the most in-demand skills, including:

Python
Spark
Jupyter
Pandas
TensorFlow
Scikit-learn
spaCy
Statsmodels
NumPy
Git
SciPy
Matplotlib

The Application Process

To become a TDI-certified data scientist, you first have to apply.

Our application is broken into three parts:

We'll ask you all the usual questions about your education and work experience, your preferences for part-time or full-time, and other details that help us determine if you meet the basic qualifications for the program.

You must have at least one of the following:

  • A Master's degree completed before the program begins
  • A PhD degree completed before the program begins
  • A PhD degree that will be completed within 3 months of the conclusion of the program
  • Extensive experience in a data-related position

Application dates for the next cohort:

  • Early decision application deadline: 2021-01-15
  • Regular application deadline: 2021-02-12

We highly encourage you to apply by the early decision date. We view applications on a first come, first served basis, and the sooner you get yours in, the better chance you have of moving forward.

Once you've completed your application - and you have to finish the general application on time to move forward - you'll move to the coding challenge.

This coding challenge is designed for you to show off your current abilities. You'll get 72 hours to complete the challenge once you start, so make sure you're prepared to give it your all. Depending on when you apply (early vs. regular deadline), you may have more time to schedule your challenge.

Keep in mind: You don't have to finish all of the challenges, but you do need to do as much as you can. We look at the quality of your work as well as the quantity. And make sure you save as you go. You can always come back and continue your work anytime during the challenge open dates. But the last time you save is the version we'll look at.

We'll also ask you to propose your capstone project. But don't worry - you have time before the interview to solidify your capstone idea. Just give us an overview of what you'd like to do, and why.

After the coding challenge, we'll contact the most promising candidates to set up a time for an online interview with our instructors and staff.

Those who show the most promise during the entire application process are awarded one of our limited tuition-free spots, so put your best foot forward. Tell us about the capstone project you have in mind, and why you think you're the right candidate for the program.

Check out this handy infographic to get some of our best tips and tricks for doing well during your interview.

Tuition-free spots are limited, but that's not the only way to attend our program. We now offer income sharing agreements, which allow you to pay your tuition after you've secured a job and are earning more than $40,000 per year. Check out the details.

Ready to apply?

Have more questions about the application process? Check out our FAQ.

Testimonials

See what some of our alumni have to say.

David Wallace

"TDI provided the opportunity to work with an incredibly intelligent and motivated group of people on difficult problems that were directly relevant to Data Science. [The] collaborative atmosphere, coupled with a very strong curriculum and knowledgeable mentors, really helped me to take my programming and machine learning capabilities to the next level."

David Wallace, Amazon

Johns Hopkins University

Brian Farris

"The most valuable thing I got out of The Data Incubator was the ability to meet people from industry through the partner panels and happy hours. [It] was an extremely efficient way to do a lot of networking in a short amount of time, which greatly increases the chance of finding a job. It is much easier to initiate a dialogue with a hiring partner if you have already met someone from the company in person."

Brian Farris, Capital One

Columbia University

Xia Hong

"Completing miniprojects on diverse and up-to-date topics really helped me to be confident about how to apply my technical skills to solve problems in practical situations. The hands-on experience from end to end, especially the relevance of the techniques to that in industry, is going to be a long-term benefit for me and certainly for any previous and current Fellow."

Xia Hong, LinkedIn

Emory University

Data Science in 30 Minutes: The Podcast

Have you ever wondered what it's like to be a Data Incubator instructor? Or what past Fellowship graduates did for their capstone projects? Or what leading data scientists from around the world are excited about in the growing world of data?

Find out all that and more in our new data science podcast, Data Science in 30 Minutes, where our hosts talk about hot data science topics.