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Springboard

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Springboard

Avg Rating:4.77 ( 374 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 4.77

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  • Cybersecurity Career Track

    Apply
    Penetration Testing, Mobile Security, Ethical Hacking
    OnlinePart Time15 Hours/week26 Weeks
    Start Date
    None scheduled
    Cost
    $2,900
    Class size
    N/A
    Location
    Online
    Your springboard to a cybersecurity career The cybersecurity industry is expected to have 3.5 million high paying unfilled jobs by 2021 (source). If you have experience in related technical fields and are interested in a cybersecurity career, now is the time to get started! In this bootcamp, you will develop your cybersecurity skill set under the guidance of an industry expert who will mentor you 1-on-1 throughout the course. With our online labs, you can advance the technical skills needed to make systems and software more secure as well as prepare for passing the certification exam. All this will culminate in a multi-part capstone project that you can highlight on your resume for prospective employers. You will also get bonus prep materials to help you pass the CISSP certification so you stand out when applying for software security analyst roles. Career transitions are hard, but we’ll support you every step of the way - until you are hired. By the end of the course, you will: - Develop the technical proficiency needed to make software and applications more secure - Gain preparation to help you pass the CISSP security certification - Be able to conduct a full risk and vulnerability assessment for a software application, write a report of your findings and recommend improvements. - Have the skills to get hired for Software/Application Security Analyst roles
    Financing
    Deposit
    N/A
    Financing
    Climb Credit available.Deferred Tuition available. Pay when you get a job.
    Tuition Plans
    $2900
    Scholarship
    Women in Tech Veterans
    Getting in
    Minimum Skill Level
    N/A
    Placement Test
    No
    Interview
    No
  • 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 size
    N/A
    Location
    Online
    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
    Deposit
    N/A
    Financing
    Climb financing availableDeferred 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 / Guarantee
    Become a data analyst. Job Guaranteed.
    Scholarship
    $500 scholarship for veterans and women in tech.
    Getting in
    Minimum Skill Level
    2 years of professional work experience working regularly with office, design or programming tools. Strong critical thinking and problem-solving skills.
    Prep Work
    None
    Placement Test
    No
    Interview
    No
  • 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 size
    N/A
    Location
    Online
    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
    Deposit
    N/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.
    Scholarship
    Women in Tech Veterans
    Getting in
    Minimum Skill Level
    Comfortable programming and comfortable with statistics.
    Placement Test
    Yes
    Interview
    No
  • Data Science Career Track Prep

    Apply
    Data Science, Python, Data Visualization
    OnlinePart Time15 Hours/week6 Weeks
    Start Date
    Rolling Start Date
    Cost
    $490
    Class size
    N/A
    Location
    Online
    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
    Deposit
    None
    Getting in
    Minimum Skill Level
    Beginnger
    Prep Work
    None
    Placement Test
    No
    Interview
    No
  • 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 size
    N/A
    Location
    Online
    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
    Deposit
    N/A
    Financing
    Climb Credit
    Tuition Plans
    $7,940 upfront $1490/month Climb Credit Loan
    Refund / Guarantee
    Job Guarantee. Get a job after 6 months or get your money back.
    Scholarship
    Women In Tech: $750 Veterans: $750
    Getting in
    Minimum Skill Level
    N/A
    Placement Test
    No
    Interview
    No
  • 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 size
    N/A
    Location
    Online
    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
    Deposit
    N/A
    Financing
    Lending partner: Climb Financing.Deferred Tuition: Pay $700 upfront, and the rest when you get a job.
    Tuition Plans
    $1099/month, $8,200 upfront, or deferred tuition
    Refund / Guarantee
    Job Guarantee
    Scholarship
    $750 for women and veterans
    Getting in
    Minimum Skill Level
    All backgrounds are welcome as long as you can demonstrate strong visual, creativity, and communication skills.
    Placement Test
    Yes
    Interview
    No
  • UX Career Track

    Apply
    Data Visualization, Design, User Experience Design
    OnlinePart Time15 Hours/week26 Weeks
    Start Date
    Rolling Start Date
    Cost
    $5,400
    Class size
    N/A
    Location
    Online
    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
    Deposit
    N/A
    Financing
    Lending partner: Climb Financing.Deferred Tuition: Pay $500 upfront, and the rest when you get a job.
    Tuition Plans
    $1199/month, $5,400 upfront, or deferred tuition
    Refund / Guarantee
    Job Guarantee
    Getting in
    Minimum Skill Level
    Academic or professional experience in user design or development oriented fields.
    Placement Test
    Yes
    Interview
    No

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

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  • Christina Nichols  User Photo
    Christina Nichols • President • Graduate Verified via LinkedIn
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    I completed the Springboard Digital Marketing for Professionals course over the summer. I appreciated the self-paced, web-based coursework that was available when I had time to tackle it. I was impressed with the content that was curated and made available to me as a student. It was clear that the curriculum was created by experts who want to educate others to be successful.

    My two favorite features of the course were the mentor and the capstone project. Each student is paired with a mentor who provides useful, candid feedback through weekly calls. The calls and time with the mentor are worth their weight in gold! The capstone project allowed me to assemble all that I had learned and have a final product that I could show to a future client or employer. All around a great investment and fantastic customer service experience. 

  • Alex Yom  User Photo
    Alex Yom • Student Verified via GitHub
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    This bootcamp really provides you with the necessary tools to learn from the basics and provides you with many outlets of support. It can get a little tempting to start slacking when you work all online but if you put the time and effort into the curriculum, you will be able to come away with a much broader sense of understanding along with technical skills.

  • Keith Snyder  User Photo
    Keith Snyder • Graduate Verified via LinkedIn
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    It is tuff to get started and focused as online can be intimidating. Once you get passed that, the whole course is great. You get great feedback from a mentor who is in the field. I finished just under 6 months as I was working a full time job. If you have all the free time, use it and get done quicker. Don't just fly through the course, take your time and learn. If you get stuck ask quetions in the slack community, mentor or career coach. They are all there to help us succeeed.  

  • Sankeerth Ankam  User Photo
    Sankeerth Ankam • Data Analyst • Graduate Verified via GitHub
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    Springboard has a great curriculum. I found my Mentor's feedback invaluable. He’s very analytical and thoughtful about it, and is realistic about what is achievable. He is very talented. It’s a really useful experience.

  • Kavisha Shroff  User Photo
    Kavisha Shroff • Student Verified via LinkedIn
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    I compared a lot of bootcamps before I decided to pursue my data science journey with Springboard, and I am very happy with my decision. 
    I graduated with a major in bioinformatics and worked in research laboratory, so had very little data science experience when I started with the program. Although, I did come in with prior programming and statistics experience which definitely helped me in the first month of the bootcamp. 
    The curriculum is very well designed with nicely curated material. It teaches you the most important skills that a person transitioning into DS would require, but at the same time gives you the flexibility to work on projects and pursue the learning journey with a bit of autonomy.
    The mentoring was also a great experience, it was just the right amount of support that I needed - my mentor provided motivation to keep rolling and was very helpful when I was feeling stuck, and also provided insightful feedback. 
    My over all experience was amazing and this program helped me make my transition into data science without a CS or math major and helped me feel confident about my skills. It is a great program for anyone who wants to transition into data science or just hone their skills further. 

  • Demetri Lee  User Photo
    Demetri Lee • Corporate IT Support Engineer • Student Verified via GitHub
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    I was interested in a career change but didn't know any data scientists. It's probably possible to learn from other free sources everything Springboard curated for me but I didn't know where to start and without guidance from a mentor, it was hard to guage where I was in this journey towards a career change. I felt having 1-on-1 access to a mentor was worth the price of admission. I truly valued my time with my assigned mentor as he was encouraging, helpful and experienced about the subject matter. Although I didn't take the career track, my mentor answered my career related questions. As a working professional with a family, Springboard made it possible to follow a syllabus and learn at my own pace.

  • Raviteja Bodla  User Photo
    Raviteja Bodla • Student Verified via LinkedIn
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    Well-organized intensive online boot camp covering all aspects of the data science life cycle. In addition, materials on advanced topics (NLP, recommender system, Spark, etc.) are also included in the curriculum. The weekly one-on-one coaching call with industry expert is my favorite, providing necessary guidance and keeping me motivated throughout the program. Overall, I had a nice learning journey with Springboard and appreciated all the supports along the way. If you are looking for a good online boot camp with flexible hours at a reasonable price, Springboard Data Science Career Track is a good bet.

  • Morgan Nimmons  User Photo
    Morgan Nimmons • Graduate Verified via GitHub
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    I took Springboard when I was still working as a full time web developer. I didn't have the opportunity to do any design work like was promised in this position, so I started to look at other options to pursue a career in design.

     

    I went to school for Graphic Design before my web developer job and I was freelancing on the side, but it wasn't something I wanted to do full time because I saw how the trend in the work field was shifting from print to digital. I have a friend that is a UX Designer and after learning about what she did, I knew UX Design was a career I wanted to pursue. 

     

    I chose Springboard because I was impressed with the curriculum and I liked that the max amount of time I'd have to spend weekly on doing assignments was 15 hours a week which I could handle with having a full time job. I also liked that all students get a mentor while they're doing the course, and Springboard was more affordable and shorter term than the other courses I looked at. It was also completely online which was ideal.

     

    I already had experience doing month-long coding bootcamps in order to learn web development and a 6+ month course was not something I was interested in, as I was trying to transition to a new career as quickly as possible.

     

    Springboard covered a lot of topics on the research side of UX which was what I was ultimately interested in because I already had experience with User Interface Design. My mentor, Cari had a plethora of knowledge about the UX design field since she's done it for about 10+ years. She provided helpful constructive criticism on my assignments and my projects would come out more pristine and better aligned with the industry standards after receiving her feedback.

     

    Dave was an awesome student advisor and was always available to answer my course related questions. The course offered Office Hours in the evening which included interviews with UX Designers who had been in the field for a few years and would offer advice and share their experiences. I only went to a few of those but the ones I attended were helpful.

     

    I started interviewing for my current job when I was in module 8 of the course. It was at the same company my friend worked at and she encouraged me to apply. Springboard seriously prepared me for the interview process even though I was no where near the career prep section of the course (that's module 14).

     

    However, everything I learned up until section 8 helped me through the interview process, and Springboard's articles on Medium about preparing for interviews was also a life saver. The course in combination with the articles taught me how to explain my work and discuss the typical UX design process, since I had experience with that through the course.

     

    I was interview around 4 times, with different members of the team/recruiters which included an in person interview and I also had to do a design challenge which I was very nervous about but I took everything I learned so far in Springboard and applied it to the challenge. 

     

    I'm happy to share that I got the job and have working there for 3 months (since January), but I decided to still continue with Springboard and I completed the course the end of February 2019.

     

    I would definitely recommend Springboard to those who already have a design background and are looking to gain more experience in the research aspect of UX Design. Even those who have a research background such as Psychologists, Communication/Marketing (I have a BA in Communication) majors will also find the course helpful if they're looking to transition into UX, however, the UI Design section isn't as thorough in this course like in the UX Career Track, as this course is only 3-4 months long.

     

    If you're looking for a course that goes more in depth when it comes to UI design, the UX Design Career Track for Springboard might be a better option. That course is 6 months long with career coaching and a job guarantee, but the application process is much more extensive and the price is higher. You also have to have a previous design background to gain entry into that course so the UX Design course that I took might get your foot in the door.

     

    Overall, I'm grateful for Springboard and all they have to offer. I highly recommend them!

    Note: The course I took was originally a Skills Track called UX Design when I was enrolled, but it's now called UX Essentials.

  • Jing Zhao  User Photo
    Jing Zhao • Graduate Verified via GitHub
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    Well-organized intensive online boot camp covering all aspects of the data science life cycle. In addition, materials on advanced topics (NLP, recommender system, Spark, etc.) are also included in the curriculum. The weekly one-on-one coaching call with industry expert is my favorite, providing necessary guidance and keeping me motivated throughout the program. Overall, I had a nice learning journey with Springboard and appreciated all the supports along the way. If you are looking for a good online boot camp with flexible hours at a reasonable price, Springboard Data Science Career Track is a good bet.

  • nirav sheth  User Photo
    nirav sheth • Graduate Verified via GitHub
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    I tried many times in the past to learn data science, but work always got in the way. My top 3 ways way that Springboard helps you. They help you focus on what is important to learn so you spend less time on learning useless information. Your mentor is able to guide you when you do not understand certain concepts. And they make you concentrate on career development which is the part I hate doing, but it is the most important. Overall, I am glad that I have taken this course because I feel confident that I have developed a great foundation to start my data science career. The rest is up to me to learn and develop myself to become even better. 

  • A great start
    - 2/14/2019
    Chris Lynch  User Photo
    Chris Lynch • Graduate Verified via LinkedIn
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    Springboard's project-based, mentor-guided curriculum combined with their helpful and friendly career services and support staff made for a wonderful experience as a student. There is a broad range of skills learned and practiced through projects including statistics, hypothesis testing, data visualization, SQL, and applied machine learning. Through your capstones, you can dive deeper into data science topics that interest you. Since there is a job guarantee, a fair amount is asked of students, including finding additional resources to help complete projects. For me, this meant spending a minimum of 20-25 hours a week, so make sure you are able to carve out time in your day on a consistent basis.

  • Amir Beck  User Photo
    Amir Beck • Digital Producer • Graduate Verified via LinkedIn
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    Great class, it was a lot of fun. I learned a lot which has got me started. My mentor was great and the program had good pacing. Looking forward to starting my career as I get more experience.

  • Shantanu Rathore  User Photo
    Shantanu Rathore • Student Verified via GitHub
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    I enrolled in the Data Science career track. I completed my course a couple of weeks back. I opted out of the career assistance because I already had a job which I am not planning to quit any time soon. I completed my course work. I had to interrupt my course twice. Once due to flooding and the other time when I was about to be a father. On both occasions Springboard paused my course and were supportive of me resuming it later.
    Pros:-
    1. Structure: The course is well structured and gives you a good idea of how to progress
    2. Exercises: There were a lot of exercises which gave a very good insight about how a data science project progresses. This included basic and intermediate statistical analyses and advanced topics.
    3. Projects: Two capstones make you practice a lot. The capstones along with mentor guidance solidified many concepts in my mind.
    4. Mentors (Biggest Pro): Having a mentor was the biggest pro. I was matched up to an excellent mentor, an expert in the field and he was extremely patient with me and always pushed me in the right direction. I understand a mentor can be different for different people but if they match you up with a mentor who is helpful, extract every thing from the opportunity.
    Cons:-
    1. I felt that not enough attention was paid to big data and data engineering. Maybe they will fix it in the future.
    2. The content was...ok. You can find equally good video materials on YouTube if not better materials.
    Overall:-
    Its a very good program for the amount of money you pay. I am not sure about the job support but based on the quality of my mentors, I am sure that is solid too.
  • Springboard Review
    - 1/10/2019
    Laura Friese  User Photo
    Laura Friese • Graduate Verified via GitHub
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    Overall I had a pretty good experience with Springboard. The curriculum was very robust, and I felt like they covered a wide range of topics. I found the homework to take much longer than the suggested time, but the Student Support was very helpful, and gave me specific help and corrections for my work. I got a job a few months after I started the program, so I can't speak much to the job support, but I'm glad I had the opportunity to build a portfolio. The mentor aspect also kept me honest and on task, which was positive. 

  • Eric Ens  User Photo
    Eric Ens • Security Analytics engineer • Graduate Verified via GitHub
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    There are probably some people who are very at selling themselves and wont need this program, but for people like me it was immensly helpful. In particular, the help in building a network and assembling a portfolio it was really helpful. It's farily pricey, but I can confidently say it would have taken me much longer to find a job without it.

  • Suraj Sridhar  User Photo
    Suraj Sridhar • Graduate Verified via LinkedIn
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    I was constantly looking out for a UX course from past 1.5 years or so. I wanted a classroom training but there were limited to no options. I had to settle down for an online course and I can say I made the right choice by opting for Springboard. 
    I asked few of the designers to go through the curriculum and give me feedback and everyone suggested that the curriculum was thorough and covered all aspects of the process. I completed the course a few days ago and here is my detailed review :

    Pros : 
    - The course is self-paced which is exactly what I was looking for. 
    - Every student gets a mentor and my mentor was really very helpful in resolving all the issues that I had. 
    - The course material covers almost every important aspects written by great authors.
    - Additionally, you also get 1 year lynda.com subscription which you can utilize to learn more in-depth about UX processes.
    - Very supportive student advisors. 


    Cons :
    - Mentor calls are usually once a week and sometimes they are busy and cannot get back on time. 
    - For countries like India, the fees is a tad bit expensive. 

  • Joshua Kim  User Photo
    Joshua Kim • Student Verified via LinkedIn
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    The last 6 months has been quite the journey and I'm happy to have chosen Springboard to jet-start my data science career. The program covers a lot of ground and includes concepts such as Python programming, SQL databases, inferential statistics, building your resume/cover letter, networking with professionals, machine learning, etc. 

    Pros:
    - Everything is online so you can learn at your own pace.
    - You are assigned a personal mentor who is a data science professional.
    - You have access to extra daily mentor calls with one of the other data science mentors.
    - The course will help you complete 2 major capstone projects that you will add to your data science portfolio.
    - The curriculum is very thorough and presents you with an abundant amount of resources for learning.
    - There are many mini-projects along the way that help you practice your learning.
    - You can schedule calls with career coaches who will help you prepare for interviewing and beefing up your resume.

    Cons:
    - Since everything is online, there are no live instructors who give you feedback in-person.
    - Getting feedback on your projects may sometimes take a while because the TAs are typically busy.
    - Some of the material was confusing, which resulted in difficulty understanding some of the concepts.

    Overall, I would give Springboard a rating of 4/5. I definitely recommend it to anybody interested in becoming a data scientist!

  • Kai-yu Chen  User Photo
    Kai-yu Chen • Graduate Verified via LinkedIn
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    The program helped me to better understand what skillsets that are required to become a data scientist. The most helpful resources from the program are from their mentors and career services. The mentors are data scientists or quantitaive positions from the industry, where they can support your personal projects, interview feedback, and questions that benefit your transition in to data science field. The career service is excellent. I finalized my resume and a set of flow for behavior questions from the program. I feel I don't need to worry about my behavior questions in the future anymore since I learn tips and what people like to hear from the interview. 

    I also appreciate immediate service from the program everytime I email them, especially thanks to Kane Li, she is super responsive and helpful. I feel to be taken care of and being supported from the program. 

    The only cons for the program is overall the materials are easy and are limited in shaping your ability in becoming a "real" data scientist. The only way that enable you to become harnessing in data science field is by doing capstone projects. I learned a lot from the capstone projects. You can choose an easy dataset as the capstone project, yet I think it would be beneficial if you choose dirty dataset to work on, while it is very time consuming but I think that's what people are looking for as a data scientist in the real world. I am still revising and optimizing it even after I graduated from the program. 

    In summary, the program prepare you well in basic skillset and directions to become a data analyst/ data scientist. You will have a clear head of how and what to work on to transitioning to this field. 

  • Mugendi Zoka  User Photo
    Mugendi Zoka • Foreign Service • Graduate Verified via LinkedIn
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    I did the UX bootcamp and learned all the general principles behind UX design, also learned with rich content from various credible authors and teachers. Highly recommend this for anyone who's not looking for an expensive full time bootcamp. You get one on-one interaction with tutors regularly with video calls and an actie forum for assignment feedback.

  • Dimitri Kourouniotis  User Photo
    Dimitri Kourouniotis • Graduate Verified via LinkedIn
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    The curriculum has probably changed since Oct 2017, some of the criticisms may no longer apply.

    The strongest part of the course is the mentor(s) and the career coaches. 

    The curated course content overall is very good, though some lectures are from 4-5 years ago.
    The main focus is the two capstones and the mentor interaction to keep you moving forward on them.
    The Python Datacamp courses (at the time) were mostly useful, though at some points I used other materials from courses like Udemy or LinkedIn Learning where the curriculum fell short of the coursework being asked.
    Why the coursework at many points had incorrect time-estimates for the (2-4 hrs suggested but actually needing 10-20) is confusing. We constantly posted about it in the forums but nothing seemed to happen.

    Also, some coursework questions and worksheets were out of date or missing. If you have a full-time job then staying on a schedule based on the course completion time then you will falling behind.

    The most common observation on the forums was the poorly supported statistics element, with insufficient course material for a crucial element of data science and insufficient study material for the coursework.

    Since graduation, I have work every week or fortnight with my career coach to refine my resume, profile etc. I am getting invitations to on-site interviews and phone screens. I have placed my focus on Data Analyst roles instead of Data Science roles, as even a junior data scientist role is a senior position.

  • Excellent Program
    - 11/9/2018
    Ellen Savoye  User Photo
    Ellen Savoye • Graduate Verified via LinkedIn
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    I absolutely love Springboard!! I took the introduction to data science course and it was one of the best and most comprehensive programs I've seen in R. The student advisor and mentor aspect just take the course to that next level. I would absolutely recommend this to anyone looking to break into data science.
  • Walter Moguel  User Photo
    Walter Moguel • Product Manager • Graduate Verified via LinkedIn
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    I only have good things to say about the online UX Design class offered by Springboard.  I just completed the course.  I am a Product Manager and was looking for a class to really give me an in-depth look at what UX was.  I got that and more.  A very well organized class, great materials to read and watch (videos).  You choose a website or smartphone app to design, and they step you through the project as you progress in the units of the course.  Best thing of all - an assigned, experienced mentor with whom you interact with once a week via a video chat.  Priceless advice and guidance from somebody who is in the business.  Phenomenal!

  • Zachary L  User Photo
    Zachary L • Graduate Verified via LinkedIn
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    I honestly can't speak highly enough about Springboard. I feel like I received an amazing value for the cost of the course. The course is self-paced, and you can complete it as quickly or as slowly as you like. I finished the course in about 2 months, which I've heard is pretty quickly — I had just graduated from college when I started the course though and was only working part time. I imagine someone with less time on their hands might take between 4 and 6 months. You're also paired with a mentor, whom you meet with once a week for 30 minutes to discuss any projects you've turned in and any questions you have about the curriculum. These sessions are hands down the best part about the course; anyone can just find a variety of content about UX online and teach themself how to design, but the mentor helps validate a lot of that learning and encourages you as you go. 

    The content of the course is an amalgamation of various sources online about UX design, from Lynda courses to Skillshare to articles on Medium and other sites. The quality of the materials tends to be great, though there are a few pieces that I skipped over. You only need to complete 60% of the course and all 13 projects in order to receive your certificate, so if you already feel well versed in an area then you can cut straight to the area's project and move on. 

    I'm excited for more of Springboard's in-person events, too! As of this review, they have hosted one conference/meet-up at their headquarters in San Francisco earlier in September, and meeting with other students, staff, an faculty really cemented for me that I chose the right course. I'm excited to see if there will be more of these events, and potentially in various areas of the country. 

  • Taesun Yoo  User Photo
    Taesun Yoo • Student Verified via GitHub
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    I have tried many MOOC data science courses on edX, coursera, udemy and udacity. I got to know the Springboard for almost 1.5 year but kind of doubtful about will it be really useful with associated cost and time commitment. 

    After reviewing lot of comments carefully from CourseReport/SwtichUp, I decided to enroll in the course. Another reason is that Springboard is one of the most fair online DS bootcamp companies out there. They offer a full refund if you don't like the curriculum and not meeting the requirements within a week (timeline).

    I gave it a try and turns out it was one of the best decision I have ever made in my career movement! The curriculum covers the contents in following order:

    intro to data science --> data wrangling --> data exploration/inferential stat. --> machine learning modeling --> capstone.

    For me, it was very practical and useful since the curriculum contains basic assignments for data wrangling and basic ML modeling (i.e., regression, cluster analysis and etc.). However, the best part is choosing your own personal project to build your own portfolio with your assigned mentor. Mentorship was the best thing which made Springboard stands out from other DS bootcamp competitors. 

    From my own experience, I had my 1st mentor assigned. After my 1st video chat, I realized that my mentor did not meet my expectations. So I had a call with Springboard course advisor and he helped me to find a new mentor which suits my interests and learning goals. 

    I really recommend anyone who is new to data science and enroll in Springboard for accomplish your dream career. 

    Here are my few tips for being successful in Springboard DS Python track:

    1) Prepare your background knowledge: basic math/stat courses from Udacity and other text books.

    2) For learning python, if you subscribe to DataCamp and finish 10 courses from their Python data scientist track, you will be more comfortable working on Springboard's assignments and capstone project. This is due the fact that this curriculum has some overlap with DataCamp's Python data scientist track since they are doing collaborative partnership on this curriculum.

    3) Carefully review your own time table and get matched on a mentor. Springboard assign your mentor based on your time availability and potential mentor's time availability. So it is important to pick time that works out for you. Another thing to note here is that if you don't get along well with your mentor ask for help from Springboard student advisor. They will help you tremendously in any shape or form to help you get successful.

    4) Take a break: if you feel overwhelming sometime due to your schedule, I think they let you freeze account once and can reactivate it in which I did it once for a week or so. Make sure to check out Springboard FAQ section do NOT trust what I am writing here as I don't exactly recall how long you can take a break.

    5) Partial refund: let say if you made a full payment (3 months?) and finished the whole curriculum earlier, they will give you the partial refund on whatever remaining portion. Ask Springboard student support on this.

    Overall, it was the best online data science bootcamp with following:

    A. Great mentor-mentee relationships

    B. Support from Springboard community manager and fellow students

    C. Flexibility to work at your own pace

    D. Affordable and reasonable cost compared to other online bootcamps out there. 

    E. There is no job lead on this track but you can get some helpful free resources from Springboard on how to prepare data science interviews. Or you can have a option to enroll in data science career track!

    Cheers,

Thanks!