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How Springboard prepares you for a Data Science career

data science career
Build job ready skills
Master foundations of data science and choose your focus area: advanced machine learning, natural language processing, or deep learning.
data science career
Develop a professional portfolio
Complete 14 real-life projects, including two industry-worthy capstone projects to showcase your skills to employers.
data science career
Launch your dream career
Make yourself hireable with personalized career coaching and exclusive access to our network of hiring companies.

Student outcomes

1200+

Total students

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

$23k+

Average salary increase

as reported by students who provided pre- and post-course salaries

0

Refunds

requested by job guarantee eligible students through November 15, 2018

What hiring managers think about our program

David Croushore, Pandora

Sathya Anand, Netflix

Ankit Jain, Uber AI Labs

Springboard graduates work for amazing companies

capitalOne
ford
boeing
wayfair
kaiser
hp

Meet a few of our Data Science Bootcamp alumni

undefined Springboard helped with career prep and the job search where we were exploring different companies I'd be interested in. We also did mock interviews, technical interviews, and take-home coding exercises. They put me in contact with a few different employers.

DSC alumni

Justin Knight

Principal Data Scientist

DSC alumni

undefined Springboard has given me the opportunity to update my technical skills and my interviewing skills which gave me the edge in being hired for this position with Verizon.

DSC alumni

Karen Masterson

Data Analyst

DSC alumni

undefined Working through exercises and lessons produced by multiple institutions or individuals accelerates the learning by exposing you to different approaches to data science concepts and techniques. Having a human mentor likewise accelerates the learning cycle by making sure you don't get stuck and lose motivation.

DSC alumni

Ledger West

Senior Data Scientist

DSC alumni

Your own mentor

You’ll meet weekly with your mentor, where you’ll get to:
data science career
data science career
data science career
Learn from the best
Set your own agenda
Get additional help

Your mentor is already working in the industry and will give you valuable insights.

Discuss deliverables, topics you are interested in, or career steps.

If you need more help, you can schedule additional calls with some of our mentor community members at no extra cost.

Meet our mentors

Our world-class mentors are hand-picked, for their experience and love of teaching.
data science career

Ryan Rosario

Machine Learning Engineer

data science career

Eric Rynerson

Data Scientist

data science career

Sameera Poduri

Principal Data Scientist

data science career

Ike Okonkwo

Senior Data Scientist

Curriculum - what you’ll learn

The curriculum is split into 9 units, followed by your capstone project and career advice.

UNIT 1

The Python Data Science Stack
  • Learn how to use Python and its standard libraries
  • Build visualizations with Matplotlib and Seaborn
  • Writing clear, elegant, readable code in Python using the PEP8 standard


Estimated Time: 16+ Hours

UNIT 2

Data Wrangling
  • Learn to use Pandas to wrangle and clean data
  • Learn to work with different file types from text to Excel, CSV and JSON.
  • Get an overview of relational and non-relational databases and gain SQL skills.
  • APIs: Collect data from the internet using Application Programming Interfaces (APIs)


Estimated Time: 44+ Hours

UNIT 3

Data Story

Project

You’ll practice the concepts you've learned so far by creating a story out of a dataset. Your mentor will help structure and evaluate your approach as you explore a dataset and present insightful findings to them.

Estimated Time: 10+ Hours

UNIT 4

Statistical Inference
  • Learn the basics of inferential statistics and parameter estimation
  • Use hypothesis testing to determine if a phenomenon is statistically significant
  • Learn how correlation and regression can be used to identify useful features
  • Know how to build A/B split tests
  • Exploratory data analysis


Estimated Time: 16+ Hours

UNIT 5

Machine Learning
  • Use scikit-learn to implement supervised and unsupervised algorithms
  • Advanced topics: time series analysis, social network analysis
  • Ensemble learning with random forests and gradient boosting
  • Validate and evaluate machine learning systems


Estimated Time: 50+ Hours

UNIT 6

Data Science at Scale
  • Work with MapReduce, one of the most popular algorithms for large-scale data manipulation
  • Understand NoSQL databases and how they differ from SQL
  • Learn Spark, the state-of the-art in distributed computing frameworks
  • Learn SparkML and MLlib to implement Machine Learning at scale on Spark


Estimated Time: 10 Hours

UNIT 7

Choose your Specialization

Halfway through the course, you will have the option to choose a specialization that aligns with your career goals. These are areas of focus that allow you to adapt your learning experience to your interests within Data Science.

They are: The Generalist Track: Advanced Machine Learning, The Natural Language Processing Track, or The Deep Learning Track.

UNIT 8

Capstone Project

In this program, you'll complete two Capstone Projects for your portfolio. They will be evaluated by your mentor, giving you experience with real business problems and datasets.

Your second capstone project will related directly to the specialization track of your choice (if you have chosen one).


Estimated Time: 50+ Hours

UNIT 9

Career Services
  • Get your resume and Linkedin reviewed
  • Work with your own personal career coach
  • Get a personalized job search strategy
  • Learn networking principles that will land you your next job
  • Learn how to negotiate your salary


Estimated Time: 35+ Hours

Swipe left to browse chapters

Get a detailed course syllabus in e-mail:

Who is this workshop for?

This Data Science Bootcamp is for

people with a prior background in statistics and programming.

How much prior experience is needed?

Most students in this course will:
(1) have completed a college-level statistics class, or have equivalent knowledge, AND
(2) know programming well enough to be comfortable picking up a new language using resources on the web.
Other than that, all professional and academic backgrounds are welcome. We've taught software developers, grad students, analysts, and BI / finance professionals.

Not sure if your background is a fit?

Write to us at katie@springboard.com. Katie, our Admissions Manager will help you think through the decision.

Prefer a phone call?

Schedule a call instead with one of our admissions managers.

Schedule a call

No math/programming background? See Introduction to Data Science

data science career
data science career

Kane Li, Student Advisor

We’re with you every step of the way

We’re not going to pretend that this course is easy street. This is a serious commitment, with real rewards.

The good news? We’ve helped thousands of aspiring data scientists like you level up their skills and advance their career.

You commit to put in the hard work and time. We are committed to support you at every step, and help you succeed.

A proven path to a career in data science.

We’ve done the research on what employers want by talking to our mentor network, recruiters, and hiring managers.
What Springboard provides

Mentored training on Python and SQL.

Hands-on experience with Spark and big datasets.

Practical exercises with top data visualization libraries: seaborn, matplotlib, and d3.js.

Two industry-worthy capstone projects for your portfolio, under the supervision of your own expert data science mentor. Each capstone project is targeted to a real or hypothetical client.

Individual lessons on the most popular machine learning algorithms, covering key concepts such as regression and clustering.

Personalized career advising from professional career coaches to help you succeed at every stage of the job search.

Average data scientist salary in the United States

$113,436

Data from Glassdoor.

"Python and Spark are among the tools
that contribute most to salary."

Data Science Salary Survey 2016

Sample job postings

Here are some examples of data scientist positions you could apply to after taking our Career Track.

Data Analyst / Quantitative
Researcher, Salesforce
Qualifications:
  • Experience with broad suite of statistical methods, including logistic regression, factor analysis, clustering techniques, design of experiment, and others
  • Experience cleaning and maintaining complex datasets
  • Ability to communicate clearly and concisely
  • BS in Statistics, Economics, Mathematics, physical or life sciences, or similar quantitative field of study
  • Working knowledge of SPSS, R, or similar statistical programming package
  • Strong Excel skills
Data Scientist, Deloitte
Qualifications:
  • A Bachelor’s degree in one of the following disciplines: Computer Science, Statistics, Mathematics, Physics, or a closely related field
  • Hands-on experience with Machine Learning techniques
  • Good understanding of Machine Learning theory
  • Familiarity with Natural Language Processing and Text Mining techniques
  • Mid-level experience in Python (other high-level programming and scripting languages are acceptable, but Python is preferred)
  • Good experience with R
  • Experience with database design and SQL
  • Very high attention to detail
  • Ability to thoroughly think through problems
  • Excellent interpersonal and communication (both verbal & written) skills
  • Strong Experience with a Data Visualization tool (e.g. Tableau or Qlik) is critical
Senior Data Scientist, Amino
Qualifications:
  • Strong analytical and problem solving skills
  • Deep understanding of machine learning techniques such as classification, recommendation systems and regression
  • Solid programming experience with Scala or Python
  • Experience using distributed processing engines like Map/Reduce and Spark
  • Proven ability to develop data products from inception to business impact while working in a cross functional team
  • Prior experience or a strong interest in working with healthcare data

Your career coach will help you get the perfect job

Meet your career services team (1m21s)

Janet Matta, Lead Career Coach at Springboard

Schedule & Price

The next cohort starts:

March 4, 2019

Deadline for applications is Feb 19, 2019. That's in:

3 Days 12 Hours

The Data Science Career Track is a 6-month program. We estimate the total effort required at 500-600 hours. Most students devote 15-20 hours/week to complete the course in 6 months.

Start Application

It is free to apply and takes only 10-15 minutes.

Payment Options

  • Paid at the time of enrollment

  • Monthly payments during course

  • Monthly payments after course

  • Total cost

Upfront
$ 7,500

Pay upfront and save
16% on tuition

Apply now

Month to month
$ 1,490 /month

Pay as you go, only for
the months you need

Apply now

Deferred tuition plan
$950 $ 817 for 12 months

Pay only after you start a
Data Science job

Learn more

Climb Credit loan
$ 43-73 /month

Finance your education with
low monthly payments

Learn more

* range varies based on approved
interest rate

To read the terms of the job guarantee, head to the FAQ below.

Apply for Data Science Career Track

Ready to take your career to new level? Apply now!

Spots are limited, and we'll accept qualified applicants on a first-come-first-served basis. Apply early to secure your spot.
Start My Application

data science career The application will take 10-15 mins

data science career

Full refund within 7 days if you are not happy with the course.

data science career

Full refund if you don’t get a job within 6 months of completion.

data science career

Complete the course in up to 6 months. You can pay upfront or month-by-month.

The Admission Process

In three simple steps, you can start your journey to a data science career.


1
Submit your application
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.
2
Pass the challenge
If it's a fit, we'll send you a challenge to test your statistics and programming knowledge. Applicants spend up to 3 hours on the challenge.
3
Reserve your spot
If you pass the challenge, we will send you a registration link. Choose the start date and payment plan that works for you (we can help!).
4
Join the program
You'll be one of the fewer than 20% of applicants who secured a spot in the Data Science Career Track. Congratulations!
Start My Application

Frequently Asked Questions

A career transition into data science is exciting, but involves focused and consistent effort. We are thrilled to have your back in this journey and ask for an equal commitment from you. In order to be eligible for this job guarantee, you should:

  • be 18 years or older.
  • hold a Bachelor’s degree from any educational institution in any subject, which is still a requirement by most employers for these roles
  • be proficient in spoken and written English, as determined by initial interactions with our Admissions team
  • be eligible to legally work in the United States (or Canada if applying for positions in Toronto) for at least 2 years from your course start date. See the detailed policy for further requirements about specific Visa types
  • be able to pass any background checks associated with jobs that you apply for
  • apply to positions, dedicate sufficient time and effort, and follow the job search process recommended to you by our career coaches.

Note that while our different specialization tracks prepare you for a career in a specialized field, we cannot guarantee that your first data science position will be in that field.

Read the full eligibility criteria and terms here.

There are 4 payment options (all of which come with our job guarantee as long as you meet eligibility requirements).  Our two standard payment plans are:

  • Monthly Plan: You pay $1,490 per month while you are enrolled in the program, capped at $8,940. After 6 months in the program, we will stop billing you. If you take 6 months to graduate, your total payment is $8,940. If you graduate sooner, you pay less!
  • Upfront payment: You pay $7,500 upfront for 6 months. This is a 16% discount on the monthly plan.

In addition, we have 2 other payment options.  These are available by application to qualifying US citizens and permanent residents. If you are not a US citizen or permanent resident, you can still apply for financing with a fully qualifying co-borrower who is a citizen or permanent resident - as long as you both have a US address.

  • Deferred Tuition: You pay a $700 deposit upon enrollment to confirm your seat (that's a discount on the normal $1,490/mo plan).  Then, you’ll pay the remaining tuition ($9, 800) only when you land a job using your newly learned skills.  You can pay that final balance in 12 monthly installments of $817. The remaining tuition will be waived if you don’t get a job, and maintain eligibility, within six months of graduating!
  • Climb Credit loan: Available by application to qualifying US citizens and permanent residents. If you are not a US citizen or permanent resident, you can still apply for financing with a fully qualifying co-borrower who is a citizen or permanent resident - as long as you both have a US address.
  • If approved, you pay $500 deposit to confirm your seat. You can finance the remaining $7,000 through a loan. You’ll make small interest-only payments for the first 6 months. After that, you will pay 36 monthly payments of $227-244 each. Learn more here
  • Please note: lending might not be available in all 50 states - click here for the current full lending list.
Yes, we have a financing option available! Students can apply for a loan with our partner Climb Credit, and if approved, use it to pay for tuition. Learn about the application process on Climb Credit’s website here.

We do also have a Deferred Tuition payment plan. With this payment plan, you can pay an initial upfront deposit ($700) and then not pay anything else until you graduate.  This option is not subject to interest on payment––you will owe a flat fee of $9800 once you get a job.  This fee will also be broken up into monthly payment of $817/month over 12 months.


Please note: lending might not be available in all 50 states - click here for the current full lending list.

We not only provide content to help you get a data science job quickly, we want you to have more impact in the role that you land. Your tuition includes:

  • 500-600 hour curriculum of technical and career materials curated by industry experts.
  • Weekly 1-1 video calls with your personal mentor.
  • Access to an exclusive community of mentors, career coaches, and peers.
  • Dedicated community managers to answer questions and give feedback on projects within a day.
  • Personalized feedback to help you polish your resume, portfolio, and social profiles.
  • 1-on-1 sessions with a data science career coach to personalize your pitch and job-search strategy.
  • Lots of interview practice via 1-on-1 mock interviews (behavioral and technical).
  • Exclusive access to an employer network.
  • 100% money-back guarantee if you can't find a job within six months of course completion.
  • All taxes and fees.

The Data Science Career Track is a 500-600 hour course. Most students complete the course in 6 months, working 15-20 hours per week. 

You should expect to take the full 6 months, but can aim to complete in less time if you are: highly proficient in Python and Statistics; are ready to devote more time per week to complete the curriculum materials; and are driven and disciplined with managing your study schedule. 

We work with industry experts to determine the most relevant data science topics, and find the best resources on each topic (e.g. videos, tutorials, lectures).

Note that many of the videos and resources in the curriculum are not created in-house by us. Instead, we find and curate the best resources available on the subject. Think of us as a college professor who creates a syllabus by combining the best textbook chapters, articles, papers, and projects (instead of teaching from only her own textbook).

We believe the curated curriculum is our unique strength. By standing on the shoulders of giants, we’re able to update the curriculum frequently, and always teach the latest tools and technologies.

Once you complete your first capstone project, you will have the option to choose a specialization. Specializations are areas of focus that allow you to adapt your learning experience to a particular career path. You can choose one of three tracks that align with your career goals and area of interest: The Generalist Track: Advanced Machine Learning, Natural Language Processing, or Deep Learning.

Based on your choice, you will focus on that particular specialization and focus your second capstone project around that topic.

You’ll have support from:

  • Your mentor: a data science expert will provide weekly 1:1 guidance and accountability in a 30-minute video call at a time that works for your busy schedule. 
  • Community teaching assistants: Dedicated help when you’re stuck, and detailed feedback on each project.
  • Career coaches: Your career coach will help with resume reviews, mock interviews, job search strategy etc.
  • Springboard student advisors: Our advisors will answer questions, discuss goals, and provide tips and support on any aspect of the program.
  • And finally, your classmates: You can form study groups, get feedback, and work on projects together!

We will provide certificates of completion to all the participants who successfully complete the course and all the projects. We also have integration with LinkedIn, so you can display a verified certificate on your LinkedIn profile. 

All our courses take place entirely online. All you need is an Internet connection.

You should have a strong background in probability & statistics, and should be very comfortable enough in programming to pick up a new language using resources on the web. If you do not meet these requirements, please check out our Introduction to Data Science workshop instead.

Spots are limited and we accept candidates on a rolling basis. We have a multi-step application process. The first step involves a 10-15 minute questionnaire to learn about your prior educational and work experience. Based on your responses, we might ask for additional information -- e.g. a brief phone interview, or a quick coding and statistics challenge - just to make sure the Data Science Career Track is a good fit for you.

Our partners include consulting, healthcare, education, finance, manufacturing, technology, and security companies. We have hiring partners in all metropolitan areas where the job guarantee is offered.

Once you complete the course, you'll have lifetime access to your Springboard account, including the online community and office hours. We'll even provide you with an additional six months of access to external resources upon request. Whenever our course development team updates the curriculum, you'll see it too. Lifelong learning guaranteed.