springboard-logo

Springboard

Online

Springboard

Avg Rating:4.74 ( 440 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.

Recent Springboard Reviews: Rating 4.74

all (440) reviews for Springboard →

Recent Springboard News

Read all (23) articles about Springboard →
  • Data Analytics Career Track

    Apply
    Python, Data Visualization, SQL, Excel, Data Analytics
    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, Python, SQL, Machine Learning, Spark
    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, Python, Data Visualization
    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
    Python, Machine Learning, Artificial Intelligence
    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
    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 None scheduled
    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
  • 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

    • Data Science Career Track (Online)
    • Machine Learning Engineering Career Track (Online)
    • UX Career Track (Online)
    • Data Analytics Career Track (Online)

Review Guidelines

  • Only Applicants, Students, and Graduates are permitted to leave reviews on Course Report.
  • Post clear, valuable, and honest information that will be useful and informative to future coding bootcampers. Think about what your bootcamp excelled at and what might have been better.
  • Be nice to others; don't attack others.
  • Use good grammar and check your spelling.
  • Don't post reviews on behalf of other students or impersonate any person, or falsely state or otherwise misrepresent your affiliation with a person or entity.
  • Don't spam or post fake reviews intended to boost or lower ratings.
  • Don't post or link to content that is sexually explicit.
  • Don't post or link to content that is abusive or hateful or threatens or harasses others.
  • Please do not submit duplicate or multiple reviews. These will be deleted. Email moderators to revise a review or click the link in the email you receive when submitting a review.
  • Please note that we reserve the right to review and remove commentary that violates our policies.
You must log in to submit a review.

Click here to log in or sign up and continue.

Hey there! As of 11/1/16 is now Hack Reactor. If you graduated from prior to October 2016, Please leave your review for . Otherwise, please leave your review for Hack Reactor.

Title
Description
Rating
Overall Experience:
Curriculum:
Instructors:
Job Assistance:
School Details
About You

Non-anonymous, verified reviews are always more valuable (and trustworthy) to future bootcampers. Anonymous reviews will be shown to readers last.

You must log in to submit a review.

Click here to log in or sign up and continue.

Shared Review

  • Lai Jing Chu  User Photo
    Lai Jing Chu • UX Designer • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    Towards the end of 2018, I was looking for a UX bootcamp to make the career pivot. After digging around, I decided to join Springboard's (SB) UX Career Track because with the job guarantee in place and affordable tuition, I felt reassured that it would be the quickest and efficient means to get into a new industry. 

    Now that I'm done, I believe this was one of the wisest decisions I've made. What I liked the most about SB is that it is designed to be very resource-conscious, and even though they are an online program, you actually get a lot of one-to-one/real-life interaction. They are genuinely invested in your learning and success, and everyone I've engaged with through the SB network—from the administrative staff to mentors to fellow coursemates—are really smart and supportive individuals. You don't get the impression that they are just "running a business" or scheming to milk your every dime. The entire experience was very human.

    The curriculum is also very thoughtfully designed. Even though at first I thought the idea of "curated content" rather than "original content" may be a downside, I have come to appreciate it. Because we are reading materials written by multiple people on similar subject matters, I have a better feel of the overall disciplinary discussions out there, and I feel like the knowledge is something I could confidently fall back on.

    Even though this is an online/remote program, I am glad to see that over time SB is investing in more in-person activities and interactions, such as onsite community events. One of the three projects we had to complete was an industry design project (IDP) where we get paired with a start-up to do real client work. My student advisor, Dave Weiner (Hi Dave...), thoughtfully paired me up with a company that works with education, since I came from academia myself. The office of the start-up was also located really close to where I live, so I actually got to visit the office and meet the team in real life. Because of this human thoughtfulness, the whole internship experience unfolded much more smoothly and successfully, and in the end, I got hired back as full-time staff without having to go through endless rounds of resume (re)writing, etc.

    The fact that the industry project turned into a real full-time position really helped me get the foot in the door (which is the hardest step really), so I don't take it lightly. But even without that luck, I do believe that in the current product job market, having real work experience is more important than learning of any shape and form, so having the IDP as one of the units was a huge advantage. Hopefully, SB will continue to invest in the IDP/internship program and expand their professional network, so that more students can continue to benefit.

  • Shannon Clark  User Photo
    Shannon Clark • UX Designer • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    This course was an amazing experience. I always felt surrounded with help and guidance from the beginning to the end.  One of my favorites parts about this course was the weekly mentor calls that I had with my own designated mentor. This really helped with receiving feedback and my overall growth with the curriculum as well. I would definitely recommend this course to anyone looking to switch their careers or if you're just interested in learning more about UX design in general. 

  • Vince Joshua Laylo  User Photo
    Vince Joshua Laylo • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    Springboard's UXCT program is for anyone who wants to switch career paths in to User Experience.  With the program, you get a mentor who will be there throughout the way to help guide you.  In addition, Springboard offers many other resources to supplement your learning including 1-on-1 calls with other professionals, office hours, career development and many more.  Overall, I believe Springboard has prepared me for a great career in the field and I'm excited for the future.

  • Alfred Hull  User Photo
    Alfred Hull • Lead Data Scientist • Student • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    Springboard gets it! 

    I had an extremely great experience with the Data Scientist career track and put had multiple jobs offers before I completed my curriculum with Springboard. The curriculum is complete and takes a significant amount of focus and coding work. The online format is very convenient and the help sessions along with the mentors are world-class. I particularly appreciated the weekly calls with my mentor who was/is an industry specialist in Data Science. It was beneficial having a mentor to seek feedback on exercises, questions about the curriculum, and or about insight about the role of Data Science in industry. The calls with career coaches were also constructive to guide in job search efforts, including mock interviews. 

    One of the things that stuck out to me was the two comprehensive capstone projects. I thought these were important in solidifying your work and expressing what we learned to more significant audiences. I utilized my capstone projects to answer real-world problems at work that were met with much praise and helped to solve and or better under pressing business problems!

    I highly recommend this impactful bootcamp!

  • Lissette I. Lopez  User Photo
    Lissette I. Lopez • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    N/A

    The mentor sessions were great and very flexible for times I was unavailable. My mentor was very understanding and super helpful whenever I had questions outside of our mentor calls. The curriculum was also easy to understand and helpful with both videos and reading material. I'd say the only con for me was just time-management. I was working full-time as a UI Designer and studying this UX course, which definitely did get hectic and limited my studying time. When trying to manage the work-life balance, organizing your time and sticking to a goal to finish the course is so important--especially for online courses! 

  • Awesome Experience
    - 1/14/2020
    William  User Photo
    William • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    I had a wonderful experience with Springboard. The 1-on-1 mentor experience truly helped me so much to be able to talk to a person that was in the field and pick their knowledge base. I especially think that the capstone projects made the program special. I was able to gain such good hands-on experience through these projects.

  • Good experience
    - 1/8/2020
    Diane Deroualle  User Photo
    Diane Deroualle • Data Scientist • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    I had a good experience learning the Data Scientist job with Springboard. The curriculum is very complete and takes a lot of work. The online format is very convenient. I particularly appreciated the weekly calls with a mentor in Data Science. It was really helpful for feedbacks on exercises, for questions about the curriculum or about the job but also to guide us in the development of 2 capstones projects. The calls with career coaches was also very helpful to guide us in our job search, including mock interviews. I haven't found a job yet but based on my experience so far, I recommend this bootcamp. 

  • Sajeed Hassan  User Photo
    Sajeed Hassan • Other • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    N/A

    Overall great Curriculum and Mentorship experience. My Mentor guided me through all the challenging projects very clearly.

    Curriculum was industry based and quiet challenging.

    Student Advising was very freindly and responsive.

     

     

  • Alisha Antony  User Photo
    Alisha Antony • Student • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    N/A

    I had a great experience learning at Springboard.

    The course curriculum was very advanced. The best part about the course was the mentor calls. I worked with 2 mentors (Branco Kovac and Vivek Kumar). Both of them have helped me a lot with my curriculum and capstone project. Branco helped me choose my topic for the Capstone project and Vivek helped with with the further progress of curriculum and capsyone project.

    During the mentor call one can discuss any doubts regarding the curriculum and the capstone project. The mentors are readily available to help and assist.

    I'm also happy with the student advising team. They are always available to respond to all the queries that we have.

  • a good start
    - 12/18/2019
    connie huang  User Photo
    connie huang • Student • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    Honestly, I had a great experience in Springboard's UX career track. Going into it, I was nervous because the program was at an early stage and didn't have any data on the success rate of alumni landing jobs. But I am glad I did it and it was a great experience!

    The mentorship and Industry Design Project are the greatest parts of the program! My mentor really helped me to grow as a UX designer and IDP gave me an opportunity to pair with a real company and work on a real-world project. 

    I am still nervous because the true test is landing a UX job! I hope it will be all worth it in the end ... 

  • UX Career Track
    - 12/12/2019
    elizabeth sandoval  User Photo
    elizabeth sandoval • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    Springboard was honestly a great experience. I didn't expect it to be as in depth as it was and I feel like the money was definitely worth it. Springboard always helped me when I needed it and my mentor was a complete angel. The mentor suppot makes the program a million times better. I'd say definitely take the course if youre interested, you wont regret it.

  • Shaun McGuire  User Photo
    Shaun McGuire • Product Manager • Student • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    N/A

    I'm currently enrolled in the UX Career Track program and I love it. Going into it I wasn't sure what to expect, but so far, I'm very satisfied with the skills taught throughout the course. The course has a capstone project that sits as the backbone of the overall curriculum. With each unit you complete, you add to your capstone project. This style gives you an immediate opportunity to apply the skills you learned during the unit and solidify the new knowledge. Even though I'm only partially through the course, I've already been able to apply lots of the skills and tools I'm learning to my current. For me, it's been a really effective means of growing my skillset.

    Tip: make sure you're making progress each month. Like many, I probably procrastinated longer than I should have and have been left cramming a bit towards the later months. The staff has been very accommodating with the course freezes though.

  • Rachel Braun  User Photo
    Rachel Braun • Student • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    I enrolled in Springboard's UX Career Track in April 2019. I was able to finish in eight months and still get the job guarantee. What I liked the most was the one on one weekly mentor calls and the community on Slack. With those tools I was able to have any of my questions answered. Springboard also really prepares you to work in the industry, since in order to be eligible for the job guarantee, you need to pass a behavioral mock interview and a portfolio walkthrough, which are the two types of interviews you have to go through when applying for UX jobs. I am now excited to start my job search and look forward to keeping in touch with everyone on the Slack community.

  • Keith Snyder  User Photo
    Keith Snyder • Student • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    I am rewriting my review as it has been 6 months and still no job. The problem is that the career coaches are always booked up and you cant book a time that works for you. I booked 2 career coach calls within a 2 week period and canceled one of them because I had one booked already. Sometimes the career coach has to reschedule, thats why I did 2 schedules. Not a month later the school emails me that I am no longer eligble for the money back guarantee because I canceled one of my 2 calls. The problem with this Bootcamp school is they dont have enough resources for you and your set up for failure. Also you should try and stick to one career coach as multiple people have different ideas and it messes you up. Like, one said to do this on your resume and the other said to do this. Stick with one that you like. 

  • Philip Sparks  User Photo
    Philip Sparks • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    N/A

    This course gives an extremely broad foundation for getting into ML/AI/DS careers. The weekly mentoring is perhaps the best part, and having weekly meetings with an experienced member in the field pays huge dividends, especially as you find yourself changing jobs or feeling like some impostor to the field.
    You will become extremely knowledge about the math and proof of concept stage to getting machine learning-based projects off the ground. I think this is helpful, but could improve in many ways for 2020.
    1. More emphasis on deploying systems and system design. The curriculum delves very little into cloud services (AWS, GCP, Azure), preferring a more open-source based model. I think this is good in general, but machine learning engineers are inevitably going to be using one of these services in their careers. The course gives you credits for AWS, but little attention is paid in the curriculum to its use cases. Given all the time spent in the course, reading other paid material like "Grokking the System Design Interview" shouldn't be necessary if the curriculum is better formed. 
    2. Techniques other than machine learning. It's kind of ironic to ask a course like this to do something other than ML, but knowing when ML is useful and when other techniques are appropriate (from heuristics to Deep RL) does not really get much attention.
    3. More work on data collection. It would be much more helpful if the course explained more further up the pipeline on how to collect, ETL, and store data to make ML possible. It might be an old school way of thinking, but many companies have older data  systems that need to be understood in order to get to the interesting ML portions.

  • Jorge Agustin Suarez-Marill  User Photo
    Jorge Agustin Suarez-Marill • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    This course covers a lot of info in a very detailed manner. You get a wide variety of topics, and you will get a nitty-gritty view of it, too. I appreciate the mentor they give you to get you through it. I had a very helpful one that I met with every week and was very good about answering my questions. You even get some career help, and you can't graduate from the course unless you do some practice interviews. This is were my negative comes in. It was very difficult to even schedule these interviews (and other career advisor meetings that are separate from the mentor ones). The slots were few and filled very quickly. For one practice interview, the person that I was supposed to do it with didn't even show up, so I had to reschedule that one. That was frustrating to me and a mar on an otherwise good course. Other than that, I would recommend it.

  • Varun Tyagi  User Photo
    Varun Tyagi • Data Scientist • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    Springboard did a really good job in putting together all the coursework and materials together. The materials and topics were up to date and quite relevant to the latest trends in machine learning. Even though the coursework and videos might have come from different sources and might seem unstructured, the content was useful and pointed you in the right direction in case you wanted to delve into that subject using resources you found on your own. Hands-on mini-projects for certain topics were crucial in helping gain a practical understanding of the subject matter. The one-on-one weekly meetings with the mentor were an invaluable experience.

    The coursework and videos will take up a lot of your time and sometimes it is hard staying on track, especially while trying to work on the capstone project in parallel.

    Overall, it was well worth the time and effort!

  • Excellent!
    - 11/25/2019
    Kristen Colley  User Photo
    Kristen Colley • Data Science Intern • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    Springboard definitely got the job done. Their mentors and career services really make the entire experience.

  • Queeny  User Photo
    Queeny Verified via GitHub
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    I had done my research into choosing this course, and it is the best school to sign up for if you are working full-time. The curriculum is well-paced and offered a lot of technical coursework to supplement my existing knowledge of product design. The support I received was absolutely fantastic. Everyone was gracious and understanding to my needs. I've also noticed the community has been growing quickly since I've last signed up.

  • Melanie Malinas  User Photo
    Melanie Malinas • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    I just completed the Data Science Career Track with Springboard. I had a good experience overall. My mentor was very helpful with the two capstone projects. I felt that the curriculum was pretty in-depth, although it would have been nice at some points to get more practice with some of the concepts because it is a lot of information to digest and I feel like over the course of the last few months I have forgotten a lot of what I've learned.

    I do feel like the career support is good because they are actually invested in you getting a job because of the job guarantee. I don't have a job yet but I have had a few phone interviews, and I am optimistic about my prospects.

  • Debisree Ray  User Photo
    Debisree Ray • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    Pros:
    Nice and organized curriculum, with mini hands-on projects.
    Continuous help from the mentor (real Data Scientist working in industry)
    Remote and part-time. So you can maintain your present job while working on this.
    Opportunity to work on two capstone projects with the help and support from your mentor.
    Career coaches are there to help with your resume/LinkedIn profile, networking, and soft skills.
    Mock interviews to prepare.

    Cons:
    No in house lectures/ they are tied up with Data camp/Khan Academy/ LinkedIn learning mostly for all lectures.
    Everything is remote, so you might lose motivation sometimes, where in-person boot camps are like a real school.
    Not all the mentors are equally caring and helpful.

  • Guilherme Lopasso  User Photo
    Guilherme Lopasso • Head of Analytics • Student • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    6-month online bootcamp on ML Engineering, which is to put ML models into production, using high software engineering standards for quality, testing, serving, monitoring, documentation, etc.

  • Tannistha Maiti  User Photo
    Tannistha Maiti • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    They are one of the crooked so-called educational institutions. I took their course which ensures money back guarantee if I am unable to secure a job within a time frame. I did everything according to their guideline, and now, they are making false accusations to grab my money. I will not let this organization cheat students like this, and I will take every legal actions against them. All the good reviews on internet are simply generated by their robots. They even pay some employers, so that the employers can do fake advertisement of recruiting their students after the completion of the Springboard career-track program. This is such a deceptive and fishy institution ripping off many innocent students in North America. I would never recommend them.

    Response From: Jonathan Heyne of Springboard
    Title: General Manager, Data Courses
    Thursday, Nov 14 2019
    Hi Tannistha,

    I am Springboard’s General Manager of Data programs. Thanks for this feedback. I can completely understand your frustration, we witness almost daily how career change is a challenging journey which requires focused, consistent efforts. That’s why we created a comprehensive career services system that has helped hundreds of students secure new jobs with an average salary increase of over $25,000/year. We are committed (and excited!) to support our students through every step of this journey, and ask for a similar commitment from them.

    For regulatory privacy reasons, I cannot share student-specific information and address your situation on this thread. However, generally speaking, as has been communicated to you over email, in those rare cases where the job guarantee process is not followed despite multiple reminders and exceptions by us, we are simply unable to create the desired outcome for the student single-handedly. When the process is followed, however, it’s been extremely successful (over 50% of our students’ job offers come in before they even finish the course!).

    As any other Springboard student, if you are willing to commit to the process and work with us on completing your career change, you are very very welcome and will receive our full and complete support.

    Best,
    Jonathan
  • Walker Page  User Photo
    Walker Page • Aspiring Data Scientist (currently unemployed) • Student • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    A little background: I'm currently about 25% through Springboard's Data Science Career Track program. My professional background is in higher education. I recently completed a PhD in philosophy and have experience teaching undergraduate philosophy courses. I have minimal background in math beyond the high school level, but my philosophy degrees have prepared me for the sort of technical and critical thinking skills used in data science. I'm doing the Springboard program to make a career change. I completed most of Springboard's Data Science Prep Course, which I found helpful, before being accepted into the Career Track program.
    Review: Overall, my experience in the Career Track program has been pretty good so far. My impression is that the quality of one's experience with the program depends largely on the quality of one's mentor. My mentor was initially pretty poor, and I had a difficult time understanding his accent. But I reached out to Springboard early in the program, and they helped reassign me to a new mentor. Thankfully, my new mentor is excellent and has dramatically improved my experience. I'm in a study group with other students, and I've gotten the impression that their mentors are so-so. I have learned a lot so far in the program, and I've been especially happy with Springboard's "customer support" (very friendly and helpful) and career support (they get you started on job stuff early on in the program). A fair portion of the data science curriculum (so far) has consisted of Datacamp exercises. Springboard partners with Datacamp, and students get free access to Datacamp courses. Honestly, I haven't been that impressed with the Datacamp courses. They are helpful for gaining superficial exposure to tools and skills used in data science, but they don't cultivate a deep understanding. I will say that the time estimates Springboard gives (completion in 6 months, working 15-20 hrs a week) are pretty unrealistic. Most of my study group (including me) is working on the course full time, and we are all on track to finish in 5 months (at the earliest), and probably more like 6 months. Unless you already have significant data science experience, don't expect to finish the program in under 5 months, and possibly even under 6 months.
    Overall, given my experience so far, I would probably recommend (pretty highly) Springboard's program to people (depending on their circumstances). I'm happy to discuss my experience with people if anyone would like to know more, especially people with an academic background in the humanities. You can find me on LinkedIn and around the web if you look (e.g. philpeople.org). Feel free to reach out.

  • MEHRETEAB  KIDANE  User Photo
    MEHRETEAB KIDANE • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    I was looking for an intense, well-run program that would help me get a job as a data scientist, and Springboard career track absolutely delivered.

Thanks!