Data Science Bootcamp: Pay only
after you get a data science job.

With deferred tuition and a job guarantee, investing in yourself is risk-free.

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4.79 of 5
Structured to fit into your life, guaranteed to get you a job

Learn at your own pace with 1-on-1 mentorship from industry experts and support
from student advisors and career coaches.

Unlimited 1:1 mentor support

Meet weekly with your personal mentor, with as many additional calls as you need.

Hands-on experience

Learn by building 14 real-world projects and developing a data science portfolio.

Career support & job guarantee

Get a data science job within 6 months of graduating or your money back.
What you'll learn

The curriculum is split into 18 units covering the topics below, with a specialization that aligns with your career goals.

Estimated time: 21+ hours

Python has become a lingua franca of data science. In this unit, you'll learn to program in Python, how to follow best coding practices, and start using an ecosystem of powerful Python-based tools.

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Learn how to use Python and its standard libraries
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Build visualizations with Matplotlib and Seaborn
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Write clear, elegant, readable code in Python using the PEP8 standard

Request a detailed syllabus

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Springboard’s learning experience

Learn from the best online resources

We work with hiring managers and experts to curate our curriculum.

Get guidance from your mentor

Your mentor will provide constructive feedback and challenge your thinking.

Learn from your peers

Connect with students and alumni who share your career path in our forum.
Develop portfolio-worthy capstone projects

In addition to small projects designed to reinforce specific technical concepts, you’ll complete two capstone projects focused on realistic data science scenarios that you can show to future employers.

While working on the projects, you'll:

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Identify a client’s business problem
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Acquire, wrangle, and explore relevant data
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Use machine learning to make predictions
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Create real-world business impact through data storytelling
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Kelly Sims
Graduated 06/2018
Capstone project: Cryptocurrency Price Prediction
See project
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David Albrecht
Graduated 08/2018
Capstone project: Capital Bikeshare Rebalancing
See project
Work 1:1 with a mentor

Mentor-guided learning not only helps you build skills faster, but also enables career growth.

1:1 mentorship

Have weekly guided calls with your personal mentor, an industry expert.

Accountability

Your mentor will help you stay on track and as you tackle your goals.

Unlimited mentor calls

Get additional 1:1 help from a mentor from our community, at no extra cost.
Ryan Rosario
Data Scientist
Eric Rynerson
Senior Data Scientist
Sameera Poduri
Data Science Manager
Ike Okonkwo
Data Scientist
See more mentors
Get the perfect job with unlimited 1:1 career coaching

Career-focused course material is paired with personal coaching calls to help you land your dream job. You’ll have 6 scheduled calls, with unlimited access to more. And full career support continues for 6 months after completing the program.

Your career coaching calls will help you:
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Create a successful job search strategy
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Build your data science network
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Find the right job titles and companies
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Craft a data science resume and LinkedIn profile
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Ace the job interview
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Negotiate your salary
Our graduates were hired by...
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Student outcomes
1,450+

Total students

who have enrolled in the Data Science Career Track since its launch in 2016
0

Refunds

requested by job guarantee eligible students through May 1, 2019
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$23k+

Average salary increase

as reported by students who provided pre- and post-course salaries
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Is this program right for me?

This data science bootcamp was designed for people with prior experience in statistics and programming, such as software developers, analysts, and finance professionals. All professional and academic backgrounds are welcome.

Prerequisites
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6 months of active coding experience with a general-purpose programming language (e.g., Python, R, Java, C++)
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Comfortable with basic probability and descriptive statistics, including concepts like mean and median, standard deviation, distributions, and histograms
See sample admissions challenge
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Need more prep?
If you don't meet these requirements, check out our Data Science Career Track Prep course instead.
Learn more

The Admissions Process

1
Submit your application
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2
Pass the challenge
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3
Join the program
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Fill out our application form to get started. There is no application fee. It takes about 10-15 minutes. You should expect a reply in 2-3 business days.
Course start dates

The Data Science Career Track is a 6-month program. Most students devote 15-20 hours a week to complete the course.

The next cohort starts
Aug 5, 2019
Deadline for applications
Jul 23, 2019
Tuition

Get a full refund within 7 days if you’re not happy with the course. If you don’t get a job within 6 months of completion, you’ll receive a full refund. See job guarantee eligibility terms

Scholarship eligibility: Are you a woman or a veteran?

Upfront Pay upfront and save 16% on tuition
$7,500

Paid at the time of enrollment $7,500

Total cost $7,500

Month to month Pay as you go, only for the months you need
$1,490 /mo

Total: Up to $8,940

Paid at the time of enrollment $1,490

Monthly payments during course $1,490

Total cost Variable (up to $8,940)

Deferred tuition plan Pay monthly only after you start a data science job
$817 /mo

Total: $10,500

New

Paid at the time of enrollment $700 refundable deposit

Monthly payments during course $817 for 12 months after starting new job

Total cost $10,500

Learn more
Climb Credit loan Finance your education with low monthly payments
$43-73 */mo

Total: $8,426 - $9,228*

Paid at the time of enrollment $500

Monthly payments during course $43 - $73* (interest payments only)

Monthly payments after course $227-$244* for 36 months

Total cost $8,426 - $9,228* (Loan amount of $7,000)

* range varies based on approved interest rate

Learn more
Meet a few of our alumni
George Mendoza image

George Mendoza

Education: Bachelor’s in history/economics
Previous job: Business Analyst
Current job: Data Scientist

My mentor Danny Wells was an incredible sounding board while I was learning Python, during my capstone ideations, and throughout their execution. The mock interviews forced me to prepare my pitch and served as a great recap of everything I’d learned up to that point. And I can’t possibly overstate the benefit of doing it all remotely while maintaining a job.

Read more
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Karen Masterson

Education: Ph.D. in Linguistics
Previous job: Language IT Specialist
Current job: Data Analyst

I was searching for a program that I could do online that was both rigorous and intensive, and I found all of that with Springboard’s Data Science Career Track. The program also assigns a mentor that you meet with on a weekly basis, which has been invaluable for the accountability and advice.

Read more
Brandon Beidel image

Brandon Beidel

Education: BA, Engineering, Economics
Previous job: Software Developer
Current job: Data Scientist

Springboard had the four factors that were the most important for me: the ability to learn remotely, the ability to have a flexible schedule so I could still work part-time, dedicated mentors, and Career Services. They did a really good job providing me a structured way to apply for jobs all over the country and ultimately helped me find something that piqued my interest.

Read more
Apply for the Data Science Career Track

Secure your spot now. Spots are limited, and we accept qualified applicants on a first come, first served basis.

The application is free and takes just 10-15 minutes to complete.

What is included in the course tuition?

  • 500+ hour expert-curated curriculum
  • Weekly video calls with your mentor
  • Unlimited additional 1:1 mentor support
  • Active online student community
  • Support from community managers
  • Unlimited career coach calls
  • Resume and portfolio reviews
  • 1-on-1 mock interviews
  • Access to our employer network
  • 100% money-back guarantee
Frequently Asked Questions
Additional FAQs