Springboard is an online learning platform that prepares students for the tech industry’s most in-demand careers with comprehensive, mentor-led online programs in software engineering, data science, UI/UX design, cybersecurity, tech sales, and more. All Springboard courses are 100% online, remote, and self-paced throughout an average of 6-9 months. Springboard acts as a support system, coach, and cheerleader for working professionals who are ready to level-up or make a major career shift. Students have access to a unique community of industry mentors, thought leaders, and alumni, who are on hand to offer insights, networking opportunities, and support throughout the program and well past graduation. Every Springboard student is matched with a personal student advisor and industry mentor who guides them throughout the program through regular video calls.
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.
Before graduation, Springboard’s career services team supports students in their job search, helping prepare them for interviews and networking, and facilitates their transition into the tech industry. Springboard's programs are backed with a job guarantee.
Springboard’s support does not end when students graduate. All graduates benefit from an extensive support network encompassing career services, 1:1 career coaching, networking tips, resume assistance, interview prep, and salary negotiation. Since Springboard was founded in 2013, 94% of eligible graduates secured a job within one year, earning an average salary increase of $26,000.
Great course to get an introductory knowledge to UX. There is an indepth explanation of the entire process with references and helpful links. Through the projects and assignments you get an idea of what UX design entails and the processes to be followed.
I enrolled in the Springboard Data Science Career Track on December of 17, completed April 19. Due to life circumstances, I had to freeze and extend my completion date during the latter half of 2018. When I returned, I made sure I kept the same mentor as that was an absolutely highlight of this experience. I was working full-time while enrolled.
Pro:
Mentor relationship
Con:
Depth of coursework
My mentor was simply superb, this was in my opinion the ...
I enrolled in the Springboard Data Science Career Track on December of 17, completed April 19. Due to life circumstances, I had to freeze and extend my completion date during the latter half of 2018. When I returned, I made sure I kept the same mentor as that was an absolutely highlight of this experience. I was working full-time while enrolled.
Pro:
Mentor relationship
Con:
Depth of coursework
My mentor was simply superb, this was in my opinion the best feature from this program that differs itself from others. Having a professional data scientist with working experience to offer insight concurrently while the course progresses enhanced the learning experience, I was able to bounce questions and solicit feedback both from course content and my perfornce freely and openly on a weekly basis. This has helped fuel my growth tremendously.
Although, in my opinion, I wish there was stronger emphasis and more depth offered on the machine learning portion of the coursework. For those who are curious, the way Springboard structures their coursework follows the format of data science work flow: Familiarization with programming -> Data Wrangling -> Exploratory Data Analysis/Visualization -> Statistical Inferences -> Modeling/Machine Learning -> Delivery of Results/Implementation. This flow offers a very good broad perspectives on what a Data Scientist does, but I was left craving a bit more material on the depth of Machine Learning models, such as the math and science behind some of the methodologies and the tools used.
In terms of Job Assistance, I thought the career advisors I worked with provided good feedback. However, I thought a lot of the resume and cover letters support are readily available online already, and that the job opportunities within Springboard I noticed are more relevant for students in the SF Bay Area and NYC. For those not living in the two areas, the process will not be noticably easier.
I was completing my PhD in geophysics and I started my online course on Data Science with Springboard. One of the things I really liked the curriculum it stated with the basics and then went difficult. The curriculum helped me to understand the bigger picture of Data Science. I really appreciate the mentoring part of the program. It really helped me to get a good understanding of various topics in Data science. Without mentoring, I would not be confident in communicating with the Data scie...
I was completing my PhD in geophysics and I started my online course on Data Science with Springboard. One of the things I really liked the curriculum it stated with the basics and then went difficult. The curriculum helped me to understand the bigger picture of Data Science. I really appreciate the mentoring part of the program. It really helped me to get a good understanding of various topics in Data science. Without mentoring, I would not be confident in communicating with the Data science group. I shared my articles in Medium and LinkedIn and got acknowledged by the Data science group. I am still working with the career service to land a job as a Data Scientist. I can honestly say that I would not be able to make a transition from geophysicist to data scientist so fast without Springboard. Also special mention to the staff, incredibly responsive and helpful.
This course is self paced and Springboard did a great job of estimating the amount of work necessary per week to get me to my desired completion date. I needed/wanted to complete the UX Design course in three months and their curriculum plan (with timing) worked very well for me.
Before I started this course, I didn't know how to code, and I didn't truly understand what data science was. But with the help of my mentor, the curriculum, and the projects in the course I know have valuable skills and a deeper understanding on how to analyze data.
This course is perfect for setting up your own pace. Since I had 0 experience coding, I was not pressured to cover it in a pace that I wasn't comfortable with. In contrast, since I did have a background in statistic...
Before I started this course, I didn't know how to code, and I didn't truly understand what data science was. But with the help of my mentor, the curriculum, and the projects in the course I know have valuable skills and a deeper understanding on how to analyze data.
This course is perfect for setting up your own pace. Since I had 0 experience coding, I was not pressured to cover it in a pace that I wasn't comfortable with. In contrast, since I did have a background in statistics I was able to quickly go though all of that material without being forced to work at a pace that didn't suit me.
Springboard is the best place to start!
Lot of material and practice with data munging/cleaning/visualization. However, certain topics, such as Spark and Data Science for production, are only covered superficially with no actual practice. Overall, there are plenty of resources to practice the general skill set needed.
This is an entry level boot camp program designed for students with limited background in data analytics.
Pros: Weekly mentor calls is the main selling point, I enjoyed chatting with my mentor, but you need to be well prepared with agenda items, otherwise 30 minutes can pass so fast with no solid progression made. The mini projects in Jupytor notebooks are all very interesting and insightful, I think I've learnt more from those than videos and quiz. While I can see the trace that...
This is an entry level boot camp program designed for students with limited background in data analytics.
Pros: Weekly mentor calls is the main selling point, I enjoyed chatting with my mentor, but you need to be well prepared with agenda items, otherwise 30 minutes can pass so fast with no solid progression made. The mini projects in Jupytor notebooks are all very interesting and insightful, I think I've learnt more from those than videos and quiz. While I can see the trace that those are probably not what they originated, they did make modifications to those projects so it ended to be a good summary of each section.
Cons: I'm not a big fan for a student proposed capstone project. I can easily imagine someone getting stuck at thinking about valuable business ideas and reliable data source to begin with their project, especially for a program facing inexperienced students. The program course material is mainly from Datacamp, there is nothing wrong with that business collaboration, but you won't feel happy realizing Datacamp subscription is only $29 per month. I convinced myself I'm mainly paying for the tutoring, and this could be subjective people believe it worth the price or not. Not much job support if you are not choosing the career track.
One suggestion I'd like to make is to alter a little big the tempo of the program. Currently I can strong feel a jump of level of difficulty moving from statistical inference section to machine learning, and I consider myself half-experienced for those topics. If this is supposed to be a program for people start thinking about exploring their career at data analytics, I think you can simplify on machine learning topics and make the mini project as easy as what datacamp offered. If you believe this is a hard-core data science program, you'd like students to put more hours into the topic.
The program gives great job support and has a great curriculum. The curriculum combines some lectures providing theoretical backgrounds of the algorithm, coding lessons, homework and projects. I have gained a lot of knowledge on Python and Machine Learning.
This was an excellent program to gain exposure to many different areas in the data science process. I had excellent support from my mentor and the career resources during the program, and am confident this will continue throughout the job search. The curriculum is very good, although some issues are slightly present due to pacing but are relatively minor. There is a lot of work which will need to be done in the program over a long period of time but if you are willing to put the effort in ...
This was an excellent program to gain exposure to many different areas in the data science process. I had excellent support from my mentor and the career resources during the program, and am confident this will continue throughout the job search. The curriculum is very good, although some issues are slightly present due to pacing but are relatively minor. There is a lot of work which will need to be done in the program over a long period of time but if you are willing to put the effort in it will certainly be worth it.
The introduction to UX Design takes students on a comprehensive journey into the field. The flow of the curriculum demonstrates the progression of the UX workflow, and gives students not only the ability to gain the skills and understanding of this process, but leaves them with the work to prove it. I'm happy to have a portfolio completed and ready to present to employers. This was an extremely helpful course for a complete beginner, and I'm confident that it will help me to changes career...
The introduction to UX Design takes students on a comprehensive journey into the field. The flow of the curriculum demonstrates the progression of the UX workflow, and gives students not only the ability to gain the skills and understanding of this process, but leaves them with the work to prove it. I'm happy to have a portfolio completed and ready to present to employers. This was an extremely helpful course for a complete beginner, and I'm confident that it will help me to changes careers into the UX field.
Was extremely helpful course. Loved the mentor experience.
Course Report readers can take $1500 off Springboard tuition with an exclusive scholarship! Be sure to enter CR1500SB in the Promo Code field of your application so Springboard can extend the discount to you upon acceptance.
Course Report readers can receive an Exclusive Scholarship to Springboard!
How much does Springboard cost?
Springboard costs around $11,900. On the lower end, some Springboard courses like Introduction to Design cost $349.
What courses does Springboard teach?
Springboard offers courses like Cyber Security Career Track, Data Analytics Career Track, Data Science Career Track, Data Science Career Track Prep and 7 more.
Where does Springboard have campuses?
Springboard teaches students Online in a remote classroom.
Is Springboard worth it?
Springboard hasn't shared alumni outcomes yet, but one way to determine if a bootcamp is worth it is by reading alumni reviews. 1,681 Springboard alumni, students, and applicants have reviewed Springboard on Course Report - you should start there!
Is Springboard legit?
We let alumni answer that question. 1,681 Springboard alumni, students, and applicants have reviewed Springboard and rate their overall experience a 4.62 out of 5.
Does Springboard offer scholarships or accept the GI Bill?
Yes, Course Report readers can take $1500 off Springboard tuition with an exclusive scholarship! Be sure to enter CR1500SB in the Promo Code field of your application so Springboard can extend the discount to you upon acceptance.
Can I read Springboard reviews?
You can read 1,681 reviews of Springboard on Course Report! Springboard alumni, students, and applicants have reviewed Springboard and rate their overall experience a 4.62 out of 5.
Is Springboard accredited?
While bootcamps must be approved to operate, accreditation is relatively rare. Springboard doesn't yet share information about their accreditation status.
Sign up for our newsletter and receive our free guide to paying for a bootcamp.
Just tell us who you are and what you’re searching for, we’ll handle the rest.
Match Me