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Springboard

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Springboard

Avg Rating:4.73 ( 516 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 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
  • Machine Learning Engineering Career Track

    Apply
    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$8,200
    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$1099/month, $8,200 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$5,400
    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$1199/month, $5,400 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)

Shared Review

  • David Gray • Graduate
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    The Springboard Data Science Career Track course provides more resources than I expected.  These include the weekly calls with a professional for mentoring, career calls to talk about aspects of applying and making contacts and refining a resume and LinkedIn profile, mock interviews that were a great motivation to prepare for, and individuals who can review projects and code.  I was impressed by the number of resources and their quality.  My mentor helped me understand a solid strategy for making contacts with individuals at companies for referrals.  Another resource is the free access to DataCamp during and after the course, which is effective at teaching concepts and code.  The main suggestion I would make to improve the course is providing supplemental resources to deepen knowledge of a topic if one wanted to increase understanding.  Overall, I feel that I advanced a lot from studying the course materials but, of course, expect that I will need to study independently to be effective in my new job.

  • Lucia Zhu  User Photo
    Lucia Zhu • Student • Verified via LinkedIn
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    When I was looking at bootcamps, I considered access to mentors, real world experience, and portfolio guidance. Springboard gives you unlimited mentor calls: during the busiest time of the curriculum for me, I was choosing to meet with 3-4 different mentors a week, which was awesome I got to do that. I learned the most from these industry professionals. There was 1 internship offered by the curriculum, and that was an invaluable experience because working as a designer on a team is very different than working alone. There was a unit in the curriculum dedicated to creating my portfolio, and I also chose to take the 2-month extension to have continued access to my mentors to just build my portfolio. 

    The mock interviews at the end of the bootcamp covered pretty much everything you would see at a UX interview: portfolio walkthrough, white-boarding, and behavioral. I appreciate the unlimited career coaching calls as well, including Linkedin and resume reviews. The bootcamp didn't give you real interview offers though- I heard a data science bootcamp did this but not sure if this is something UX bootcamps do where they have connections that get their students hired. I heard some students in this bootcamp got hired by their internship partner though. 

    The curriculum was informative: it is a combination of online articles and some articles written by Springboard mentors. These articles give more detail into UX topics and are good for referring back to (you get lifetime access to the curriculum after graduating).

    Lastly, everyone I met was really friendly. The Springboard support staff is great and timely in their responses! The student advisors are awesome. The mentors know so much and the career counselors are so knowledgable. There's also a slack channel for all the students. 

    Your experience at Springboard is going to be what you make of it. They offer you a lot of valuable resources, and it's up to you to take advantage of them. 
  • Data Scientist
    - 5/22/2020
    William Dew  User Photo
    William Dew • Data Scientist • Graduate • Verified via LinkedIn
    Overall Experience:
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    Great support system from mentors to advisors.
  • Allison Rosburg  User Photo
    Allison Rosburg • Product Manager • Student • Verified via LinkedIn
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    I signed up for this program to help enhance my skill set with regards to data analytics to help increase my technical acumen as a PM. I do want to say that this course is a very robust overview of data analytics, so likely not the best fit for someone who is already pretty well versed in excel, data visualization tools like Tableau or executive reporting. That being said, for someone truly looking to start with the basics and move up through the intermediate and proficient levels, it's great. I was very impressed with the program materials and how the breadth of curriculum did not diminish it's depth. It's engaging, easy to follow and informative. Also, access to a mentor weekly, definitely helps keep you on track so that you gain a deeper understanding and don't get held up by difficult assignments. All in all, not the best course for me as I already knew much of the content, but truly a great course for someone looking to start their career in data analytics. Highly recommended.
  • Sava Dashev  User Photo
    Sava Dashev • Graduate • Verified via LinkedIn
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    It is a good course that gives you freedom to work whenever you can. Don't be fooled by the freedom. Get your time set aside each week. Do your job!

    The curriculum gives foundation to all aspects of data science. Also, big part of changing career is finding new people to meet with. The ideas in that part are very valuable.

    Working with mentor helped me understand the basics and the principles. I really appreciate the help of my mentor Branko Kovach.

    There should be more exercises in some parts. Particularly, some mini projects, where the code should be written by student entirely or parts of it.

    It was a good experience. I learned a lot.
  • Atsushi Miyamoto  User Photo
    Atsushi Miyamoto • Graduate • Verified via LinkedIn
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    Springboard provides me a great mentorship and challenging curriculum. It was quite challenging to complete this course. Because I didn't have enough experience in math and programming. But my mentor helped me to keep my motivation and progress. Actually I have faced some problems with my mentor. I changed my mentor twice because my mentor didn't show up our call and didn't match their skills with my caption project. But the Student adviser supported me to change my mentor kindly. If you feel not comfortable with your mentor you can ask your student adviser. I am sure they will support you properly.
    I would recommend you take Machine Learning Engineering Career Track if you want to dive into the data world.
  • Taylor Brightwell  User Photo
    Taylor Brightwell • Graduate • Verified via LinkedIn
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    Mentorship and real-world practice were the two things that set this program apart. The curriculum was interesting but mostly curated from free online resources. You are paying for the mentorship and peer review of the work you do, which to me was worth it.
  • student
    - 5/5/2020
    Jasim Rasheed  User Photo
    Jasim Rasheed • Graduate • Verified via LinkedIn
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    Mentors are very helpful as they are experienced data science professionals . Great value for the cost of course but the instructions in some units are not clear especially in Excel case studies but overall it was a good experience. I  am excited to start looking for a job.
  • Atticus Soane  User Photo
    Atticus Soane • Graduate • Verified via LinkedIn
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    Very good experience. Well-structured curriculum with excellent resources. Project-based approach makes the learning experience, and the partnership with an industry mentor is excellent.
  • Ben  User Photo
    Ben • Student • Verified via LinkedIn
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    I attended the fully online intro to data science course. While I did not finish the course, I found it very enlightening and insightful for a data analyst and data scientist career. The mentor I was paired with was very friendly and helpful, and was in approximately my same time zone. 
  • Data Analyst
    - 5/3/2020
    Angelica Kechukyan  User Photo
    Angelica Kechukyan • Graduate • Verified via LinkedIn
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    Springboard is simple. Build skills. Meet professionals. Get career and industry advice. I went to  UCLA for economics and think that, in some ways, I learned more from Springboard than UCLA, and definitely not for as much the price. The reality in today's economy is that jobs pay the bills and skills and experience get us jobs.  Springboard helped me build a portfolio to showcase to employers. The more you put into Springboard, the more you will get. If you take it seriously, it's definitely worth the price.
  • Fanny Arenas  User Photo
    Fanny Arenas • Digital Marketer • Graduate • Verified via LinkedIn
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    The last time I finished any school was 15 years ago. I decided to enroll after I was impressed by my sister's curriculum for a different program. This was the best decision I have made in my entire life. Springboard is so easy to follow and excellent as far as motivation. You talk to a mentor weekly that helps with any questions you may have. The projects were fun and useful! I hate having to learn something that I will never use. This doesn't happen with Springboard. Everything that you are required to learn, you will use. I am a single mom with a full time job. I thought there was no way I could take this on too. I did and I finished. You can too. Invest in yourself!
  • Data Science
    - 4/17/2020
    Lacey Field  User Photo
    Lacey Field • Graduate • Verified via LinkedIn
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    I enrolled in the Data Science Career Track prep course as well as the main course for a combined curriculum of 8 months. I thought the prep course was very helpful as I did not have any coding experience. The prep course did a nice job of introducing me to Python and getting me ready for the main course. I was able to complete the main course in six months; however, it is a lot of content and most people need a two month extension (which is included in the price). The content is very user friendly and helpful but can be extensive. I tried to stick to the 10-20 hours of coursework weekly to ensure I stayed on track. The course consists of two capstone projects, which are used in your portfolio, and this is where a lot of the technical skill is applied. I found the capstones challenging and enjoyable and felt as though they really helped me to understand the course material. The statistics section of the course could be better formatted and with more user friendly material. I did not think it was easy to grasp and would have enjoyed something more finished. I also would have enjoyed some cheat sheets or reference guides. They had provided those in the prep course, and I found them very helpful to refer to. I really enjoyed the mentor relationship and felt it was super helpful in keeping me accountable. I met with my mentor every week and was nice to have someone for questions or concerns. 

Thanks!