Springboard

I really had a good experience with Springboard and I have learned so much and found the course one of the best technical courses I have attended. 

Amazing experience!

The Springboard Data Science Career track has been an amazing investment for me. Even though I had studied data science online for 6 months on my own before starting the course, the they the course content has been curated and laid out helped me to build a much stronger foundation. There is also a wealth of resources from counselors and a mentor that I was matched up with who had a similar academic background to my own which really helped me to build out my technical and professional skills for a career in data science. Overall, I'm pretty sure that this Springboard course is the best personal investment I have ever made. I highly recommend it to anyone thinking of starting out a career or transferring their current skill set to the field of data science!

The UX Design course was a great experience. It really went into all aspects of UX and having a mentor to help you along the way was extremly valueable. This would be a great course for a refresher or to get started in the UX field.

I took Data Science Career Track course after I did many mini-courses and read many books. The main issue with data science is that there is no clear start and end points. After a while of taking diffirent courses, you feel that you do not know what is data science career. In Spring board, besides learning more, I also could connect the dots and the field became clear to me.

After finishing Career Track Data Science course, you can continue your journey by yourself.

 

Thank you

Omar

I took Springboard's Career Track Data Science course, which was exactly what I needed to transition my career.  I'm pretty self motivated, which you'll need as the course is self-paced (you can also choose to pay per month which is an extra motivation to complete the course as fast as you can!), but wanted some sort of defined path to teach myself data science.  There are a ton of online resources for free but it's pretty much impossible to know where to start without guidance.

The course does a great job of starting you from basics but they move you on pretty quick from there in case you already have a foundation in CS or statistics.  They match you with a mentor who can give feedback on your projects or answer any questions you might have about the material or the industry.  

The job guarantee is a big reason why I chose this course.  It was pretty much a win-win.  I started looking for a job about a month from finishing the course and got a job offer in about two months.  I absolutely LOVE my new job and what I'm doing now.  

There seriously isn't a better deal out there.  I recommend this program to anyone who wants to become a data scientist.  The ROI here is unbeatable.

I was a student of Springboard's Data Science Career Track between July and November 2017. Completing the track has been one of the most fulfilling experiences of my life. The track was extremely streamlined and sufficiently challenging to keep you involved for the entire duration.
The biggest take away of the program was the mentorship. My mentor, Baran, taught me skills that you will never find in a book or a publicly offered MOOC. He also gave me invaluable glimpses into the world of professional data science. With his constant guidance, I was able to participate in Data Science Hackathons, publish and gather traction for my kernels on Kaggle and  develop a proposal for a talk on Inferential Statistics which was accepted in SciPy India 2017.
Another huge benefit of the program is the network you get to build. Springboard mentors and alumni work at amazing places. I connected and interacted with more than a dozen people doing inspiring work. My mentor personally introduced me to Data Scientists at Airbnb (my first capstone project was on Airbnb User Bookings) and Amazon.  They, in turn, gave me a sneak peak of their work at their respective companies.
As part of DSC, I completed over 15 technical projects and 2 major Capstone Projects. With the help of my mentor, I was able to channel my work in the right places. My analysis on TED Talks caught the eye of the Kaggle CEO who then submitted my notebook to the official TED Team. My second capstone project on Movie Recommender Systems had me publishing a dataset that was trending at the top for 3 straight days. 
The material I learnt from Springboard also helped me in performing reasonably well in Data Science Competitions. My bachelors' thesis project on Fake News Detection is also based on the knowledge I acquired from the program. 
Finally, DSC prepares you for the non technical aspects of getting a job. There are intensive, personal evaluations of your LinkedIn Profile, your resume and mock interviews. These exercises prepare you well for evaluating, applying and eventually interviewing for various data science jobs.
All in all, DSC is a great investment if you want to switch careers or get started with the field of Data Science. It prepares you for entry level Data Science jobs and equips you with enough expertise to jump into more advanced material after the program. Highly recommended!

I am in Graphic Design industry for more than 8 years and I was happy to explore UX Design course here on Springboard.  The curriculum is very well designed and covers all aspects of UX design. This course is ideal for busy people, who cannot attend scheduled classes on site. Mentors are all professionals from the UX field, and student's advisors are always right away ready to assist with any question.

 

My 12 weeks experience with springboard was excellent. My weekly mentor calls helped me to find the right way to analyze data and go beyond the actual case study. The learning material is easy to read and understand, not that the course is too easy, but the layout and structure of the course is very good and makes it a pleasure to learn. Catherina from student support is great to deal with. I had one small problem, none of springboards fault, but my first assigned mento wasn't available any longer, so  Catherina went beyond her normal hours of work and found me a new mentor over the weekend. I was really impressed with the support she gave me and any other questions, were answered right away, even though we had like 16 hours time difference between Western Australia and San Fran. 

A special thanks to Chinmay , my mentor, who was always available and even so we had to change sometime our time of call, he was always flexible and guided me through the course plus gave me some great insights from his past experience and working as BA. 

 

 

 

 

I took the Foundations in Data Science course from Springboard. I have had some introduction to statistics and programming (quite a bit of stats in my MBA program and took many datacamp certificates for R and Python programming).

Really enjoyed the foundations course from Springboard. Have tried using many MOOC`s (massive online open courseware) to learn data science but to no use. Springboard`s mentor driven and community driven coursework is a lot better. Setting up the R Studio environment, Github, writing code on R, R markdown etc, all take quite some effort, if you are from a non computer science background (I am not a CS major but had some coding in high school and undergrad). This is where the mentor and community are most useful. 

The $ 500 per month fee is very reasonable for the community, mentor interactions and curriculum that you get in the course. 

My advice to prospective students who have no background in statistics and programming is as follows:

1) First learn statistics from online resources like Khan Academy, Saylor.org etc. Topics may include descriptive statistics (mean, median, mode, variance, standard deviation, types of distributions, probability), inferential statistics (p-value, Z-scores, hypothesis test, t-test) and machine learning (linear regression, logistic regression, some simple classification algorithms etc). Even datacamp.com has many good coding courses built around statistics.    

2) Learn some R, Python and SQL from datacamp.com. Take a total of 10 certificate courses from datacamp in these 3 programming languages. This will really help develop your coding skills. In R, take introduction to R, intermediate R, dplyr, ggplot, statistics with R etc. In Python, learn numpy, pandas, seaborn etc. 

3) After you have finished above 2 points, you can move to Springboard. You may think that Springboard is also about the first 2 points. Yes, it is. But the most important part of Springboard is the capstone project. Once you have completed point 1 and 2, you can enter the Springboard foundations course confidently and spend most of your time thinking and working on your capstone project. Remember that nothing matches the skills you develop while completing an end to end capstone project. This is only possible on Springboard at a very reasonable price.

Lots of effort and motivation + Springboard + Datacamp is the best formula for becoming a quantitative analyst/junior data scientist, if you do not already have a background in statistics and computer science.

I've been a visual designer (mostly web) for about 10 years. I've done aspects of UX in many of my jobs/projects. But there were a lot of best practices in research and prep that I'd never properly learned to be an official UX designer. I learned and practiced all these textbook need-to-knows and quickly got my portfolio updated to prove it through this course in a matter of a few months. I saved $1000's from avoiding full-time courses that I didn't need since I had quite a lot of on the job training already. Since completing the course I've gotten messages weekly to daily from recruiters on LinkedIn looking to place me in new exciting roles at big and small companies. TOTALLY WORTH IT.

My UX project from the curriculum: https://www.jennlindeman.com/ux-project

I took Springboard's UX Design course, and really enjoyed my experience. The curriculum was engaging, varied enough to accommodate many different learning styles, and was dynamic - Springboard updates their curriculum all the time, so nothing feels out of date. The emphasis on working with other students through the online community made it easy to gather ongoing feedback about your process, and simulated a bit of what it's like to work on a UX team - you never work in a bubble ;) 

The self-paced nature of the class is a bit of a double-edged sword, because you can finish the course while working a full time job, but it does mean you need to be really self-motivated - I work full time, and finished the course in 3 months. Both your mentor and Springboard advisors are extremely helpful and supportive, and can even provide suggested timelines for what to work on each week in order to finish the course in the time that meets your needs.

As I mentioned earlier, each student is assigned a mentor, with whom you work closely, meeting each week to discuss progress, goals, and other, non-course-related aspects of UX design work. This mentor/student relationship was invaluable to my success. My mentor is extremely talented and charismatic and working with her helped keep me on track. 

 

I highly recommend Springboard to anyone looking for a dive into UX Design. 

I would highly recommend the Springboard UX Design course to anyone that is looking to learn UX Design or would like to get a jump start on putting some UX examples on their portfolio. I had worked in UX for about a year but didn't have any personal examples that I could show for on my public portfolio. My Springboard (Sara) was extremely helpful in providing me with feedback and recommending resources that were outside of what the course had listed. 

This course was great because as a freelance web designer, my schedule isn't consistent week to week. Since the course is flexible, you are able to do as much or as little of the work each week to make it work for you. 

I was left with an amazing portfolio piece on the entire process of UX Design and have been offered multiple positions since completing the course. I also felt extremely comfortable in the interviews as I was confidently able to walk through the ENTIRE UX Design process since I had gone through every piece. 

Would highly recommend this to anyone interested in UX!

I had a good experience with Springboard. The course was very effective and even the curriculum and projects were very useful and productive. The mentor I got was a very friendly person with great technical knowledge. The slack community  group and student advising were very helpful as well.

My experience with Springboard has been very positive. The program provides a structured learning path with practical projects that help build real-world skills. The curriculum is well organized and designed to help students understand important concepts step by step.One of the strengths of the program is the mentor support and the clear guidance provided throughout the learning journey. The instructors and advisors are responsive and helpful, which makes the learning process smoother and more engaging.The coursework includes hands-on assignments that allow students to apply what they learn, which is very useful for building confidence in the subject. The platform is also easy to navigate and provides useful resources for continued learning.Overall, I would recommend this program to students who are looking for a flexible and structured way to build skills in data science and related technical fields. It provides a good foundation and practical exposure that can help learners move forward in their careers.

Springboard provided a structured and purpose-driven curriculum that allowed me to earn a Data Analytics certification while progressing at an efficient pace. The program included one-on-one mentorship to reinforce technical proficiency, along with dedicated career coaching to strengthen my interview and professional communication skills. I had a positive experience with the program and would definitely recommend it to any who are curious.

The Data Analytics course from Springboard offers an industry-relevant curriculum covering tools like SQL, Python, Excel, and data visualization, combined with hands-on projects that help build a practical portfolio. The 1:1 mentor support ensures personalized guidance, making complex concepts easier to grasp and apply.Additionally, the program provides career support, including resume reviews and interview prep, which helps in transitioning to data-driven roles. Its flexible, self-paced format allows learning alongside other commitments, and the strong community of peers and alumni adds valuable networking opportunities.

I completed the Springboard Cybersecurity Bootcamp and found it to be a comprehensive, well-structured, and career-oriented program that effectively bridges foundational knowledge with hands-on technical skills. The curriculum covers essential domains including cybersecurity fundamentals, network security, threat detection, cryptography, security operations, and risk assessment, which provided a strong base for real-world security work.One of the biggest strengths of this bootcamp is the project-based learning model. Through multiple real-world simulations — including a full penetration testing capstone — I was able to apply tools and methods used by professionals in the field. This practical experience boosted both my confidence and portfolio, making it easier to speak to technical skills during interviews.The mentor support was a standout feature. My mentor was experienced, responsive, and provided clear guidance on concepts I found challenging, especially during more technical modules like threat detection and vulnerability assessment. The curriculum pacing allowed me to progress steadily while accommodating my schedule.What I appreciated most about Springboard was its focus on career readiness. Beyond technical training, the bootcamp provided structured support for resumes, LinkedIn, interview preparation, and networking — which made the transition to job hunting much more manageable.Overall, Springboard’s Cybersecurity Bootcamp was a valuable investment in my professional development. It successfully prepared me with both the theoretical foundation and practical skills needed to pursue a career in cybersecurity. I would recommend this bootcamp to anyone serious about breaking into the field or strengthening their existing security expertise.

y experience with Springboard was challenging in a good way. The program focuses on real-world UX problem solving, with hands-on projects and honest mentor feedback that helped me improve my thinking and presentation skills. Career support adds helpful structure during the job search.One downside is that the self-paced format requires strong self-motivation, which can be challenging at times. If Springboard adds more built-in accountability or motivation checkpoints, it would make the experience even better.Overall, it’s a solid program for anyone serious about growing as a UX designer.

This course was amazing and really well-paced. The assignments that the course provide is very insightful. Not only that, it makes the sutdents a great profolio which is definitely needed for the work world where employers nowadays would look for. As a result, I believe this course is the perfect start for those who wants to get started in their UX UI career.