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Springboard

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Springboard

Avg Rating:4.64 ( 582 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

    Apply
    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

    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$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)

Shared Review

  • Cayte Burdick  User Photo
    Cayte Burdick • UX Designer • Graduate • Verified via LinkedIn
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    The course was great. Even though you do it all online and at your own pace, you feel very connected to other people. I had weekly calls with my mentor who is a UX expert, that was super helpful. We also have a Slack community where we can talk with other students, and a community mentor who is super helpful when we have questions. There are also career coaches who help you along the way as you prepare for the job search, and continue to help you for six months after you complete the program! There are also weekly office hours on Zoom where you can ask any questions. Everyone is super nice and helpful. I learned a lot in the course, and am excited to start looking for my first full time position as a UX Designer!
  • Victoria Jesionek  User Photo
    Victoria Jesionek • Graduate • Verified via LinkedIn
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    The course is a great way to get the fundamentals and basic knowledge of digital marketing. The mentorship helps you really understand the topics you just learned and with the weekly feedback you can really improve over time. 
  • Paul Scheibal  User Photo
    Paul Scheibal • Graduate • Verified via LinkedIn
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    The pros of this course are as follows:
    1) Well organized set of curriculum to take you from 0 knowledge to an entry level data scientist.
    2) Mentors are very helpful as they are experienced data science professionals.
    3) Great value for the cost of course.
    4) Challenges you throughout the course. Thoroughly enjoyed the neural network specialization.
    The cons are:
    1) I had a challenge finding detailed knowledge within organization for signal processing (FFT, DWT, …)
    2) Career counseling became overwhelmed with the number of students and could not meet demand for a few months. It was corrected however.
    3) If you don't live in the right areas of US, job guarantee is not there. Counselors do help you after you graduate though.
    This is neither a pro or con, but be prepared to do a lot of research outside of the curriculum if you want to do this right. I would say 35% of my work was doing research outside of the classes.
  • UX Career Track
    - 4/2/2020
    Katelyn Locke  User Photo
    Katelyn Locke • Graduate • Verified via LinkedIn
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    I would highly recommend Springboard for anyone looking to switch careers into the field of UX. Mentorship is what really sets their program apart. 
  • Rosalie Day  User Photo
    Rosalie Day • Graduate • Verified via LinkedIn
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    Springboard's Data Science Career Track includes an extensive curated course plan made credible by expert mentors - but be prepared to be frustrated..
     
    Springboard's Data Science Career Track is comprehensive, including: paid and free interactive courses, lectures, multiple assignments to submit and a great administrative staff. It is not only Python, but some UNIX, some Git, some SQL, some Pyspark, sort of everything you need to operate as a data scientist. This is a double edged sword because you learned how to do something, applied it for the next segment, but would go weeks without having practiced it. I spent a lot of time referring back which was frustrating. 
     
    The most frustrating aspect for me was for most of the mini-projects, the assignments would ask you to use either new concepts/code or use functions/methods/attributes that were not emphasized in the interactive lessons. I again spent a lot of time referring back, combing through my notes, only to discover, it was not covered or not sufficiently. Perhaps, this would not be an issue if you had some previous skill with Python or a lower level language. (My previous language was R.) I spent far more time than the curriculum said – either taking notes or referring back to them.
     
    The one thing that can make or break your experience is your assigned mentor. (And by the way, I would have never persisted through the frustration without a good mentor.) I spent the first 5-6 weeks with a mentor who was not a good fit. This set me back for the first half of the course. I ended up changing my data set for the first capstone project after I had been working on it for three months. Luckily, my second mentor was extremely helpful, accessible and an expert. When I changed data sets, things started to come together. I also started to use more of the resources that Springboard provides - the on-call mentor and the TAs.  I could not get much out of the community chat because even within my cohort there was a different pace.
     
    The career track means data science as a career. The career mentors were focused on getting jobs for data scientist or data analyst titles. I found out a few months into the track that I didn't really want to be an entry level data scientist. I have had 20 years of experience in public policy. I still want to craft and implement policy while having the skills to describe, predict with and visualize the data.
  • Robert Malka  User Photo
    Robert Malka • Student • Verified via LinkedIn
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    Join the data science career track prep program in February 2020, and I'm currently in the full data science career track program. There are a lot of good things to say about the program. The most beneficial aspect is that you meet with a mentor six times over the course of the program. This turned out to be essential for me, because he not only corrected my code, but he corrected my way of thinking, which improved my work exponentially. He also introduced me to other resources that would dramatically improve my coding abilities, and every week he pushed me to think a little harder and do a little better. 

    It's worth noting that the curriculum is curated, and so you could theoretically complete the equivalent program by paying a small subscription fee on Next.tech's site. But what Springwood really gets right is the structure of the program and the quality of their mentors and community. Best of all, the prep program is free if you end up going into the full data science career track program (they reimburse you 10 days in). A couple small notes: Next.Tech didn't quite give me enough practice with the individual coding exercises, but that was just me -- I think if I approached it a little less mechanically, it might have been enough.

    Highly recommend!
  • Marsha Dubuk  User Photo
    Marsha Dubuk • Graduate • Verified via LinkedIn
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    Great program if you are working full time! It's still a lot of work and I didn't have much time to myself.... but it was definitely worth the effort! I appreciate the mentor-led model as it allows you to build a relationship with your mentor over time. They also offer extra mentorship on-demand if you would like. The staff of Springboard honestly want to see you succeed and are not there just to get money out of you. Very supportive staff and mentors!
  • UX Design
    - 3/23/2020
    ROYDEN MILLAR  User Photo
    ROYDEN MILLAR • Graduate • Verified via LinkedIn
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    Overall I had an excellent experience with Springboard. My mentor was amazing in particular. The only negative thing I can say about the program is regarding their industry design project. The companies that they pair you with are not vetted as thoroughly as I hoped and I ended up having to get re-matched with a different company. Still 5 stars all around.
  • Garrett Yamane  User Photo
    Garrett Yamane • Graduate Verified via GitHub
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    When I was in University, I studied computer science but I did not know how I wanted to apply it. I first heard about data science through some friends who were in the field, and I was interested in changing career paths. The thing I really wanted in a bootcamp was a thorough curriculum, which is what I got through Springboard. Not only did I feel like I learned a lot, but the selling point for me was the one-on-one mentorship I received each week and the capstone projects that I got to create through Springboard. The relationship I developed with an expert in the field along with the consistent guidance I received when I needed help understanding difficult concepts helped me succeed, and I would highly recommend Springboard to anyone looking to start their career in data science.
  • Charles Tucker  User Photo
    Charles Tucker • Sr. Data Analyst • Graduate • Verified via LinkedIn
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    This course is great for the independent learner. Lessons are completed online at your own pace.

    You have weekly 1:1 skype calls with a mentor who is a data scientist. They provide advice and technical assistance, and this is extremely helpful throughout the course.

    There is also a community page where you can post and connect with other students and discuss your projects, technical questions, or career search opportunities.

    You have career coaching calls to plan networking, work on your resume, and provide 4 mock interviews to practice, and these really help prepare you to find a job.

    This course is highly recommended, especially with the money back job guarantee!
  • Jonathan Mills  User Photo
    Jonathan Mills • Graduate • Verified via LinkedIn
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    I found the Data Analytics program at Springboard to be one of the best online bootcamps for two main reasons: the people and the coursework.  The coursework had a great balance of helping you learn the key material for the field of data analytics, but integrated a great balance with career development that helped you not feel overwhelmed.  The course had a tremendous balance of being challenging yet not insurmountable.  The weekly mentor calls were helpful, I felt like my mentor truly cared about me and my progress, but did have weeks where they were too short in length.  Springboard does provide you with unlimited on-call mentors, which is helpful when you're stuck or need some help.  

    The other shining part of Springboard's structure are the people, which is a tad ironic (to quote Alanis?), but everyone was amazing.  The Slack community of students is more connected than I thought or experienced in previous boot camps.  My mentor, Laib, as I stated earlier, was engaged, encouraging, and flexible as illness occurred in my family.  My student advisor, Sophie, was off the charts in her kindness and helpfulness.  Her fingerprints are all over the program, and she is helpful and warm to all students. Her genuine kindness was with a strength to me throughout the course, and an understated - yet extremely important - presence at Springboard.  Chris, one of the main content creators of the course, gave me personal encouragement on my progress and completion of big assignments.  I am in my 30's, but that personal touch meant a lot.  And I'd be remiss not to life up my career coach - Faren, she was superb.  She made time for me, even when her schedule was stacked, to help shape my resume or cover letter for specific positions.  She, like Sophie, Chris, and Laib, went well above my expectations or what I think was compensated by Springboard.  

    The fact that the material was solid, instructive, and helpful, coupled with the supreme touch of caring and support (despite being remote), makes this an easy recommendation to anyone pursuing a growth or change into data analytics.

Thanks!