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Springboard

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Springboard

Avg Rating:4.64 ( 575 reviews )

Springboard is an online coding school offering online, flexible, mentor-led courses including the Data Science Career Track, UX Design Career Track, and Machine Learning Career Track (all offer job guarantees). While learning cutting-edge digital skills entirely online, students receive teaching and mentorship from industry experts. Springboard offers a number of self-paced, mentor-led workshops, plus a full Data Science Career Track program. The Data Science Career Track includes a deferred tuition option, so students can enroll for a small deposit and finish paying after starting a job. In all of Springboard’s self-paced courses, students develop job-ready skills that display industry-worthy capstone and portfolio projects. Throughout the entire process, students receive support from their industry mentor, as well as Springboard's resident advisors and the larger student/alumni community. Springboard combines expert-curated curricula with one-on-one mentorship. Springboard has served thousands of students from around the world.

To apply, applicants fill out an online form, take an aptitude test, then talk with a school representative about their background and motivations. For the data science career track a background in statistics and/or programming is required. For the UX career track, students should have academic or professional background in user design or development-oriented fields.

All graduates receive 1:1 career coaching including networking tips, resume and LinkedIn assistance, interview prep, and salary negotiation. Graduates go on to considerable success: those who accepted new jobs reported an average annual salary increase of $19,919. And because of the job guarantee, students who don’t find a job within six months of graduation receive a full refund.

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  • Data Analytics Career Track

    Apply
    Data Visualization, Excel, Data Analytics , SQL, Python
    OnlinePart Time15 Hours/week
    Start Date Rolling Start Date
    Cost$5,500
    Class sizeN/A
    LocationOnline
    Become a data analyst in six months, job guaranteed! Through this course, developed in partnership with Microsoft, you’ll master the technical and business thinking skills needed to get hired. In addition to learning fundamental business statistics concepts, key tools (like Excel, SQL, Python, Power BI, and Tableau), and advanced analysis techniques, you’ll develop your problem-solving skills—something hiring managers told us most job applicants lack. Two capstone projects will allow you to bring all of your skills together, becoming the center of a powerful portfolio. And you’ll do it all with the guidance of your personal mentor and career coach, plus support from your fellow students and Springboard alumni.
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb Credit

    Deferred tuition plan: Pay $500 and the rest when you get a job.
    Tuition Plans$5,500 upfront or $1,100 monthly payments, or deferred tuition plan.
    Refund / GuaranteeBecome a data analyst. Job Guaranteed.
    Scholarship$500 scholarship for veterans and women in tech.
    Getting in
    Minimum Skill Level2 years of professional work experience working regularly with office, design or programming tools. Strong critical thinking and problem-solving skills.
    Prep WorkNone
    Placement TestNo
    InterviewNo
  • Data Engineering Career Track

    Apply
    Spark, Virtualization, Data Structures
    OnlinePart Time20 Hours/week24 Weeks
    Start Date None scheduled
    Cost$7,500
    Class sizeN/A
    LocationOnline
    Data Engineering students will learn to translate business needs into data infrastructure. The curriculum is designed to teach students the framework, skills, and tools the world's top technology companies demand. Some of the topics the curriculum covers include ETL and data pipelines, big data technologies like MapReduce, Apache Hadoop and Spark, and data warehousing, data schema, and modeling.
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb Credit
    Tuition Plans$1490/month, $7500 upfront, or financing available.
    Refund / GuaranteeFull tuition refund if you don't land a job within 6 months of graduating.
    Scholarship$750 scholarships for veterans and women in tech.
    Getting in
    Minimum Skill Level- 6+ months of work experience in any analytical role, ideally working with SQL - 6+ months of work experience as a software engineer using Python or Java or C++ - Bachelor's degree in CS or other degree that involves extensive programming skills
    Placement TestNo
    InterviewNo
  • Data Science Career Track

    Apply
    MySQL, Data Science, Git, Spark, SQL, Python, Machine Learning
    OnlinePart Time20 Hours/week26 Weeks
    Start Date Rolling Start Date
    Cost$7,500
    Class sizeN/A
    LocationOnline
    Get a job, or your money back, through Springboard’s mentor-guided online bootcamp. With our job guarantee, if you don’t land a job within six months of graduating, your tuition will be refunded. Students will master the data science process, from statistics and data wrangling to advanced topics like machine learning and data storytelling, by working on real projects designed by industry experts. With the guidance of your personal mentor and career coaches, you will graduate with an interview-ready portfolio and a network of data scientists. We won’t stop there. We know that career transitions are hard, and we’ll support you every step of the way—until you get hired.
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb Credit

    Deferred Tuition available: Pay $700 and the rest when you get a job.
    Tuition Plans$1490/month or $7,500 upfront or deferred tuition plan.
    ScholarshipWomen in Tech Veterans
    Getting in
    Minimum Skill LevelComfortable programming and comfortable with statistics.
    Placement TestYes
    InterviewNo
  • Data Science Career Track Prep

    Apply
    Data Science, Data Visualization, Python
    OnlinePart Time15 Hours/week6 Weeks
    Start Date Rolling Start Date
    Cost$490
    Class sizeN/A
    LocationOnline
    Need more prep before you begin the Data Science Career Track? In this mentor-led course, you'll spend 4-6 weeks mastering the foundational Python and statistics skills needed to pass the admissions challenge and start your career. This course was designed specifically for go-getters who want to enroll in our Data Science Career Track, but who need an introduction to, or a refresher in, Python programming, statistics, or other core data science concepts. With guidance from your personal mentor, you’ll finish the course having learned how to use Python to complete real-world coding exercises. You’ll also be able to ace our Data Science Career Track admissions challenge and begin your data science journey.
    Financing
    DepositNone
    Getting in
    Minimum Skill LevelBeginnger
    Prep WorkNone
    Placement TestNo
    InterviewNo
  • Introduction to Design

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    User Experience Design
    OnlinePart Time10 Hours/week4 Weeks
    Start Date Rolling Start Date
    Cost$349
    Class sizeN/A
    LocationOnline
    This four-week, online course allows students to experience the Springboard curriculum in a bite-sized, easily digestible format. It’s created for those who want to test if online learning is for them, and those who are simply curious to see if their interest in design could lead them towards a new career. Introduction to Design students have access to one-on-one mentorship from a design expert, a one-on-one call with a career coach, hands-on, exercise-based learning, access to a dedicated student advisor, a teaching assistant, student operations support and a community of aspiring designers and design experts.
    Financing
    DepositN/A
    Tuition PlansThere is a one time fee of $349 at the time of enrolling in the course.
    Getting in
    Minimum Skill LevelNo minimum skill level required.
    Prep WorkNo prep work needed for this course.
    Placement TestNo
    InterviewNo
  • Machine Learning Engineering Career Track

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    Artificial Intelligence, Python, Machine Learning
    OnlinePart Time20 Hours/week26 Weeks
    Start Date Rolling Start Date
    Cost$7,940
    Class sizeN/A
    LocationOnline
    Fast-track your machine learning career through our mentor-guided, hands-on machine learning engineering course—the first to come with a job guarantee. Our curriculum, designed for people with software engineering experience, is rigorous and deeply technical, teaching the foundations of machine learning and deep learning. But it’s also hands-on. Of the 400 hours of work we estimate it will take to complete this course, 100 hours go toward capstone projects. You’ll build and deploy large-scale AI systems—with guidance from your mentor, an experienced machine learning engineer currently working in the industry.
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb Credit

    Deferred Tuition Plan Available: $700 refundable deposit at the time of enrollment, pay the rest after landing a role in machine learning engineering.
    Tuition Plans$7,940 upfront $1490/month Climb Credit Loan
    Refund / GuaranteeJob Guarantee. Get a job after 6 months or get your money back.
    ScholarshipWomen In Tech: $750 Veterans: $750
    Getting in
    Minimum Skill LevelN/A
    Placement TestNo
    InterviewNo
  • Software Engineering Career Track

    Apply
    HTML, JavaScript, jQuery, React.js, Front End
    OnlinePart Time20 Hours/week36 Weeks
    Start Date Rolling Start Date
    Cost$8,500
    Class sizeN/A
    LocationOnline
    Launch your career as a software engineer with 1:1 mentorship, career coaching, and a job guarantee. If you don’t land a job within six months of graduating, your tuition is refunded. We’ve partnered with legendary coding instructor Colt Steele to develop a cutting-edge curriculum covering everything from Python and SQL to the latest JavaScript frameworks that employers are hiring for, React and Node. As part of the course, you’ll build your own production-ready web apps to showcase to employers. You’ll also be paired with a personal mentor, an experienced software engineer currently working in the industry, who will guide you throughout the course.
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb CreditPay $500 upfront. Then make low monthly payments of
    $61-121 during the course, and $346-380 for 33 months after.
    Tuition PlansOne-time Upfront Payment: $8500 Month-to-month: $1,150/month
    Refund / GuaranteeLand a software engineering job in 6 months of graduating or get a full tuition refund.
    ScholarshipWe offer a $750 scholarship for women in tech and veterans.
    Getting in
    Minimum Skill LevelPrerequisites: JavaScript fundamentals & programmatic problem solving skills. Recommended: HTML & CSS fundamentals
    Placement TestNo
    InterviewNo
  • Software Engineering Career Track Prep

    Apply
    HTML, JavaScript, CSS
    OnlinePart Time10 Hours/week6 Weeks
    Start Date Rolling Start Date
    Cost$490
    Class size1
    LocationOnline
    Learn HTML/CSS and JavaScript in this online self-paced course from your own senior software engineer mentor. The perfect foundation to becoming a software engineer and taking more advanced job-guaranteed bootcamps like Springboard’s Software Engineer Career Track.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelN/A
    Placement TestNo
    InterviewNo
  • UI / UX Design Career Track

    Apply
    Data Visualization, Design, User Experience Design
    OnlinePart Time20 Hours/week39 Weeks
    Start Date None scheduled
    Cost$10,000
    Class sizeN/A
    LocationOnline
    Want to break into the tech and have a creative impact? Even if you have no previous design or tech experience, you can become a UI or UX designer in 9 months, equipped to own the product design process end-to-end. With our guarantee, if you don’t land a job within six months of graduating, your tuition will be refunded. The course curriculum is ideal for those looking to career transition from non-design related backgrounds. You'll learn to apply design tools and concepts in the context of real-life design problems. Receive rigorous training from user research and wireframes to high fidelity mockups and working with developers to implement them. Build your confidence and a stellar portfolio curated from hands-on projects with clients. You have the flexibility to study online whilst working full time. Plus get 1-1 expert mentor support and a dedicated career coach to ensure your success throughout your journey.
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb Credit

    Deferred Tuition: Pay $700 upfront, and the rest when you get a job.
    Tuition Plans$1299/month, $10,000 upfront, or deferred tuition
    Refund / GuaranteeJob Guarantee
    Scholarship$750 for women and veterans
    Getting in
    Minimum Skill LevelAll backgrounds are welcome as long as you can demonstrate strong visual, creativity, and communication skills.
    Placement TestYes
    InterviewNo
  • UX Career Track

    Apply
    Data Visualization, Design, User Experience Design
    OnlinePart Time15 Hours/week26 Weeks
    Start Date Rolling Start Date
    Cost$6,900
    Class sizeN/A
    LocationOnline
    Become a UX designer in six months, job guaranteed! The UX Career Track is an intensive user experience course with a full career services component. With our guarantee, if you don’t land a job within six months of graduating, your tuition will be refunded. This self-paced, mentor-guided, online bootcamp is designed for people with adjacent skills from a few specific backgrounds: visual design, coding, marketing, and research. With the fundamentals already in place, you'll master design thinking, develop cross-functional communication skills, and create real-world projects that you can show off in a unique portfolio. After graduation, you’ll continue to enjoy the support of career coaches and access to our employer network so that you can land an entry-level UX job.
    Financing
    DepositN/A
    Financing
    Lending partner: Climb Credit

    Deferred Tuition: Pay $500 upfront, and the rest when you get a job.
    Tuition Plans$1299/month, $6,900 upfront, or deferred tuition
    Refund / GuaranteeJob Guarantee
    Getting in
    Minimum Skill LevelAcademic or professional experience in user design or development oriented fields.
    Placement TestYes
    InterviewNo

1 Scholarship

  • $500 Springboard Scholarship

    Course Report is excited to offer an exclusive Springboard scholarship for $500 off tuition!

    Eligibility

    Offer is only valid for new applicants. Applicants who have already submitted an application cannot claim this scholarship. & This scholarship cannot be combined with other offers.

    Qualifying Courses

    • UX Career Track (Online)
    • UI / UX Design Career Track (Online)
    • Software Engineering Career Track (Online)
    • Machine Learning Engineering Career Track (Online)
    • Data Science Career Track (Online)
    • Data Analytics Career Track (Online)
  • Angela Krontiris  User Photo
    Angela Krontiris • Student Verified via LinkedIn
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    I enrolled in Springboard's Online Data Science Career Program in August 2017 and completed the course in March 2018. I started the course with no programming skills. While this was difficult for me at the start, I became comfortable with python in the first two months.  My favorite part about Springboard is the connection with my mentor.   My mentor helped me tremendously with my capstone projects and gave me great advice in the workplace. The one thing that I had hoped for from Springboard is referrals. It is very difficult to build connections in a short period of time and then ask for referrals when applying for jobs. Hearing back from companies after applying and reaching out via Linkedin has been a struggle for me.  It would be nice to receive a little more help in the job search.  I am still looking for a job.  In the end, the skills that you learn are invaluable. I definitely recommend Springboard to someone who is looking to get into Data Science or just wants to learn a new skill. 

  • UX Design
    - 2/22/2018
    Gabriela   User Photo
    Gabriela • Student Verified via LinkedIn
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    I really had a good experience with Springboard and I have learned so much and found the course one of the best technical courses I have attended. 

  • Erik E.  User Photo
    Erik E. • Research Scientist • Graduate Verified via LinkedIn
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    The Springboard Data Science Career track has been an amazing investment for me. Even though I had studied data science online for 6 months on my own before starting the course, the they the course content has been curated and laid out helped me to build a much stronger foundation. There is also a wealth of resources from counselors and a mentor that I was matched up with who had a similar academic background to my own which really helped me to build out my technical and professional skills for a career in data science. Overall, I'm pretty sure that this Springboard course is the best personal investment I have ever made. I highly recommend it to anyone thinking of starting out a career or transferring their current skill set to the field of data science!

  • UX Design Course
    - 1/3/2018
    Emma Albert  User Photo
    Emma Albert • Product Manager • Graduate Verified via LinkedIn
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    The UX Design course was a great experience. It really went into all aspects of UX and having a mentor to help you along the way was extremly valueable. This would be a great course for a refresher or to get started in the UX field.

  • Omar Al-Naimi  User Photo
    Omar Al-Naimi • Epidemiologist • Graduate Verified via LinkedIn
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    I took Data Science Career Track course after I did many mini-courses and read many books. The main issue with data science is that there is no clear start and end points. After a while of taking diffirent courses, you feel that you do not know what is data science career. In Spring board, besides learning more, I also could connect the dots and the field became clear to me.

    After finishing Career Track Data Science course, you can continue your journey by yourself.

     

    Thank you

    Omar

  • Melanie Hanna  User Photo
    Melanie Hanna • Data Scientist • Graduate Verified via LinkedIn
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    I took Springboard's Career Track Data Science course, which was exactly what I needed to transition my career.  I'm pretty self motivated, which you'll need as the course is self-paced (you can also choose to pay per month which is an extra motivation to complete the course as fast as you can!), but wanted some sort of defined path to teach myself data science.  There are a ton of online resources for free but it's pretty much impossible to know where to start without guidance.

    The course does a great job of starting you from basics but they move you on pretty quick from there in case you already have a foundation in CS or statistics.  They match you with a mentor who can give feedback on your projects or answer any questions you might have about the material or the industry.  

    The job guarantee is a big reason why I chose this course.  It was pretty much a win-win.  I started looking for a job about a month from finishing the course and got a job offer in about two months.  I absolutely LOVE my new job and what I'm doing now.  

    There seriously isn't a better deal out there.  I recommend this program to anyone who wants to become a data scientist.  The ROI here is unbeatable.

  • Rounak Banik  User Photo
    Rounak Banik • Student Verified via GitHub
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    I was a student of Springboard's Data Science Career Track between July and November 2017. Completing the track has been one of the most fulfilling experiences of my life. The track was extremely streamlined and sufficiently challenging to keep you involved for the entire duration.
    The biggest take away of the program was the mentorship. My mentor, Baran, taught me skills that you will never find in a book or a publicly offered MOOC. He also gave me invaluable glimpses into the world of professional data science. With his constant guidance, I was able to participate in Data Science Hackathons, publish and gather traction for my kernels on Kaggle and  develop a proposal for a talk on Inferential Statistics which was accepted in SciPy India 2017.
    Another huge benefit of the program is the network you get to build. Springboard mentors and alumni work at amazing places. I connected and interacted with more than a dozen people doing inspiring work. My mentor personally introduced me to Data Scientists at Airbnb (my first capstone project was on Airbnb User Bookings) and Amazon.  They, in turn, gave me a sneak peak of their work at their respective companies.
    As part of DSC, I completed over 15 technical projects and 2 major Capstone Projects. With the help of my mentor, I was able to channel my work in the right places. My analysis on TED Talks caught the eye of the Kaggle CEO who then submitted my notebook to the official TED Team. My second capstone project on Movie Recommender Systems had me publishing a dataset that was trending at the top for 3 straight days. 
    The material I learnt from Springboard also helped me in performing reasonably well in Data Science Competitions. My bachelors' thesis project on Fake News Detection is also based on the knowledge I acquired from the program. 
    Finally, DSC prepares you for the non technical aspects of getting a job. There are intensive, personal evaluations of your LinkedIn Profile, your resume and mock interviews. These exercises prepare you well for evaluating, applying and eventually interviewing for various data science jobs.
    All in all, DSC is a great investment if you want to switch careers or get started with the field of Data Science. It prepares you for entry level Data Science jobs and equips you with enough expertise to jump into more advanced material after the program. Highly recommended!

  • Great Course!
    - 11/3/2017
    Alla Prazyan  User Photo
    Alla Prazyan • Graphic Designer • Student Verified via LinkedIn
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    I am in Graphic Design industry for more than 8 years and I was happy to explore UX Design course here on Springboard.  The curriculum is very well designed and covers all aspects of UX design. This course is ideal for busy people, who cannot attend scheduled classes on site. Mentors are all professionals from the UX field, and student's advisors are always right away ready to assist with any question.

  • Dirk Maserkopf  User Photo
    Dirk Maserkopf • Student • Verified via LinkedIn
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    My 12 weeks experience with springboard was excellent. My weekly mentor calls helped me to find the right way to analyze data and go beyond the actual case study. The learning material is easy to read and understand, not that the course is too easy, but the layout and structure of the course is very good and makes it a pleasure to learn. Catherina from student support is great to deal with. I had one small problem, none of springboards fault, but my first assigned mento wasn't available any longer, so  Catherina went beyond her normal hours of work and found me a new mentor over the weekend. I was really impressed with the support she gave me and any other questions, were answered right away, even though we had like 16 hours time difference between Western Australia and San Fran. 

    A special thanks to Chinmay , my mentor, who was always available and even so we had to change sometime our time of call, he was always flexible and guided me through the course plus gave me some great insights from his past experience and working as BA. 

     

     

     

     

  • Arun  User Photo
    Arun • Student Verified via LinkedIn
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    I took the Foundations in Data Science course from Springboard. I have had some introduction to statistics and programming (quite a bit of stats in my MBA program and took many datacamp certificates for R and Python programming).

    Really enjoyed the foundations course from Springboard. Have tried using many MOOC`s (massive online open courseware) to learn data science but to no use. Springboard`s mentor driven and community driven coursework is a lot better. Setting up the R Studio environment, Github, writing code on R, R markdown etc, all take quite some effort, if you are from a non computer science background (I am not a CS major but had some coding in high school and undergrad). This is where the mentor and community are most useful. 

    The $ 500 per month fee is very reasonable for the community, mentor interactions and curriculum that you get in the course. 

    My advice to prospective students who have no background in statistics and programming is as follows:

    1) First learn statistics from online resources like Khan Academy, Saylor.org etc. Topics may include descriptive statistics (mean, median, mode, variance, standard deviation, types of distributions, probability), inferential statistics (p-value, Z-scores, hypothesis test, t-test) and machine learning (linear regression, logistic regression, some simple classification algorithms etc). Even datacamp.com has many good coding courses built around statistics.    

    2) Learn some R, Python and SQL from datacamp.com. Take a total of 10 certificate courses from datacamp in these 3 programming languages. This will really help develop your coding skills. In R, take introduction to R, intermediate R, dplyr, ggplot, statistics with R etc. In Python, learn numpy, pandas, seaborn etc. 

    3) After you have finished above 2 points, you can move to Springboard. You may think that Springboard is also about the first 2 points. Yes, it is. But the most important part of Springboard is the capstone project. Once you have completed point 1 and 2, you can enter the Springboard foundations course confidently and spend most of your time thinking and working on your capstone project. Remember that nothing matches the skills you develop while completing an end to end capstone project. This is only possible on Springboard at a very reasonable price.

    Lots of effort and motivation + Springboard + Datacamp is the best formula for becoming a quantitative analyst/junior data scientist, if you do not already have a background in statistics and computer science.

Thanks!