Springboard exists to launch you into a career in data science, data analytics, UI/UX design, or software engineering. Each course (or ‘career track’ as Springboard calls it) takes 6-9 months to complete, with most students spending 15-20 hours per week studying. And if you don’t get a job at the end of the course, you get a money back.
- Upskilling to a highly paid career
- 1-on-1 mentorship
- Unlimited career coaching
- Job guarantee
- It’s not cheap ($5,500 - $10,000 per course)
- Strict admission requirements
Springboard offers seven ‘career tracks’, courses that put you on track for a career in various roles in data science, data analytics, UI/UX design, or software engineering.
The career tracks are:
Data Science – 6 months. Curriculum is split into 18 units plus real-world projects and developing a data science portfolio. Beginners can also sign up for a data science prep course beforehand to learn the foundational coding and statistics skills needed to start a career in data science.
Machine learning engineering – 6 months. Curriculum is split into 11 units plus hands-on projects where you build machine learning algorithms.
Data engineering – 6 months. Over 400 hours of coursework plus practical data engineering projects.
Data analytics – 6 months. Consists of 5 units: framing structured thinking, analyzing business problems, connecting data using SQL, visualizing data with Python, and communicating your analysis.
UI/UX design – 9 months. 35 units coverage all the stages of the UX/UX design process, including design thinking, ideating, and sketching. Beginners can also take an introduction course to obtain basic skills before starting the career track.
UX design – 6 months. 25 units focusing on highly sought-after skills in user experience design.
Software engineering – 9 months. 800+ hours of coursework covering key aspects of front-end web and back-end web development, databases, data structures and algorithms.
Each Springboard course is composed of hundreds of hours of coursework plus hands-on projects, one-on-one mentoring and a final project you need to complete before graduation.
Here’s the step-by-step process from sign-up to graduation:
Enrol in a course. Enrolments open a few weeks before each class begins. The process includes an application form (takes 10-15 minutes, no fee), interview with an admissions director, and a technical skills survey. Spots are limited and qualified applicants are accepted on a first-come, first-served basis.
Get matched with your mentor. Fill out an online profile detailing your availability and the skills you want to focus on developing. Springboard will match you with a suitable mentor.
Begin the course. Each course consists of a carefully curated curriculum that is regularly updated to reflect the newest technologies and trends.
Real-life projects. Each course includes case studies, problem sets and project-based assignments. Some of the projects are sources from top industry partners like Microsoft Ventures, AngelHack, and Alchemist Accelerator.
Weekly mentor call. This is where you review concepts, get project feedback, and get help with career planning, job search advice, and interview tips.
Weekly learning goals. You and your mentor will set and review weekly goals to keep you on track.
Final project. With your mentor, complete your final course project and show off the skills you’ve learned.
Graduation. Your personal mentor will present you with your certificate of completion.
Some of the courses are designed solely by Springboard, while others are a collaboration with partners such as Microsoft, DataCamp, and Rithm School. The coursework itself consists of online resources that you can access in your own time – although you will need to keep up with the course schedule.
Guidance comes from mentors, who include senior data scientists, engineers, and designers at companies like Google, Amazon, Uber, Verizon, and Ford. In addition to working with your own mentor, you can also get additional one-on-one help from a mentor in the Springboard community at no extra cost.
The platform itself is really easy to use and navigate. On the date your course begins, you’ll have access to your own course portal where you can work through the curriculum, jump on a mentor call, engage with other students, and access additional resources.
The best thing about Springboard is that it’s more than an online learning platform. Each career track actually sets you up for a career in that profession. In addition to unlimited one-on-one mentor support, Springboard gives you one-on-one career coach calls, one-on-one mock interviews, resume and portfolio reviews, and access to its employer network. If you fail to land a job within 6 months of completion, Springboard will return your money.
Springboard promises to set you up with a lucrative career and it charges accordingly. Courses typically cost thousands of dollars, although women and veterans can apply for scholarships.
||Pay after finding a job
||Low monthly payments
||$8,940 ($7,500 upfront)
|Machine learning engineering
||$8,940 ($7,940 upfront)
||$8,940 ($7,500 upfront)
||$6,600 ($5,500 upfront)
||$11,691 ($10,000 upfront)
Springboard is a privately held company with offices in San Francisco and Bengaluru, India. It was founded by Gautam Tambay and Parul Gupta in 2013. In August 2020, it raised $31 million in Series B funding led by Telstra Ventures, bringing to more than $50 the total amount of money it has raised.
You don’t have to do a four-year degree to become a highly sought-after data scientist or software engineer. Thanks to Springboard, you can complete all the training you need and be in a job within six to nine months. With real-life projects, one-on-one mentorship and career guidance, Springboard virtually guarantees your chances of launching a career in one of these lucrative professions.