Data Science Career Track

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.

The data science program goes quickly through the material and doesn't have any fluf. They give you face to face mentors and are quick to respond with problems you may have. The tuition is about $10000 and their classes are mostly data camp. You are paying for the person interaction and job search help. Which if you can keep up with their requirements and don't get a job you get your money back.

If you have a background in technical work and desire for learning the tools data scientists use this is a great course. It was helpful to have some coding experience otherwise just expect to put some more time into the beginning of the course to get up to speed. 

I enrolled in Springboard’s Data Science Career Track (Foundation to Core) after taking an 8-year career break. Before that, I had worked as a web developer, and I wanted to transition into a data scientist role. For anyone coming back after a long break, it’s important to find a program that keeps you motivated, provides a structured approach, and helps you upskill with confidence.Springboard offered exactly that. The curriculum is comprehensive and project-based, the mentorship is outstanding, and the career services provide continuous guidance. The job guarantee gave me the extra assurance that I wasn’t alone in this journey—they are committed to your success until you land a role.Most importantly, the program kept me accountable. Between mentor calls, deadlines, and career coaching, I stayed consistent in my studies and built momentum day by day. This not only helped me finish projects but also showed future employers that I was serious and committed to coming back stronger.I highly recommend Springboard to anyone looking to restart their career, especially after a break. It’s more than just a bootcamp—it’s a supportive path to re-enter the workforce with new, in-demand skills.

Attended the Data Science course program, had a very difficult time getting the right mentor assigned to my needs and style or learning. I had no choice to drop out and then the school continues to refuse to refund me even thought I could drop out and get a refund. I am seeking legal advice since the school is not cheap and school refuse to give me a refund even though it clearly states in the signed agreement by both parties. I would ask other students about the school and experience before signing up as school is for profit and it does have student best interest.

Curriculum is good, support and mentors are amazing. They definitely try their best and it's a good starting point for jumping into the field if you don't know how to start. Try to do as much research as you can to use the time wisely, and attend conferences and career networking events. Best of luck!

 I’ve had a great learning experience with the Springboard Data Science Bootcamp. As part of the job guarantee program, I’m currently in the job search phase and actively exploring opportunities. The mentorship has been incredibly valuable — my mentor provided not only technical guidance but also real-world insights that helped me grow as a data professional. The career coaching support has also been excellent, offering practical strategies for networking, resume building, and interview preparation. 

SpringBoard had a lot to offer on paper, and receives favorable reviews when compared to other online-education options.  I had the opportunity, so I took a chance on it.And then my father died.I suddenly found my entire world turned upside down with less time and more responsibilities shortly after starting the SpringBoard boot camp.  I just couldn't do it all.  I was feeling overwhelmed, crushed, and despairing.I reached out to their support team to complain about something I just couldn't get to work and received a phone call soon after (it was within 24 hours, if not the same day).  The representative could not have been more supportive.  They granted me an extra month of time, found me a mentor that would better suit my needs and schedule, and were overall very considerate and positive despite what I had been through.The pressure was off and I could breathe again.I had to work hard in order to get through everything on time, but I did it.The two best things that will always stand out to me are the practical work with a professional mentor and their extraordinary support team.  I could probably have gone online elsewhere and found what I needed for a lot less, but the practical experience and having someone to talk to (my mentor, not just the support team) made all the difference in the world!No, the whole program was not perfect; there were dead reference links, and it was hard to find how to get help sometimes, but it was definitely a great experience over all.

I signed up for Springboard's Data Science program and it was definitely the best career-related decision I've made in many years. I've had an interest in Data Science and AI-related topics for a while, but was never quite sure how I would go about preparing myself for the field. I had taken some smaller individual courses, which helped, but I felt I need more.Springboard emerged as the best all-around solution for me. Their bootcamp is compact and dense (suggested 6-7 months), but trainees have the option to proceed at their own pace. The flexibility is invaluable, especially for folks who are working full-time and have other obligations. The curriculum was awesome and one of the strongest reasons for me in choosing this program. It covered so much - Data Science Method, Python programming, Data Visualization, Statistics, Machine Learning and AI, Big Data, etc. It also provided a ton of hands-on experience which really helped to build confidence in the material. All along the way, I was helped by the Springboard staff who were simply amazing! From my first call (an assessment of my suitability for the program) to my invaluable weekly mentor calls, career coaching calls, to my course completion emails and discussion, they have always been knowledgeable, super positive and done all they can to support my progress. I cannot recommend Springboard enough!

The DS Career track had a great curriculum- sequential learning that actually made sense. My mentor was phenomenal and encouraging. The program support, student services people were amazing in email communication. TBD on Job assistance since things have not yet made progress (new grad), but promising so far. Career coaches were sweet but I did not learn anything significantly new. Some of the tech coaches were really amazing, others led me on a goose chase to contact them. Overall, I think great program and no regrets. I have done another bootcamp for software engineering years ago and that program was super extra. Springboard did not ask you about your trauma and then expect you to go learn Pandas. This program is pretty much a : you get what you put into it type of vibe.

The coursework in the Data Science Career Track was thoughtfully designed to build both foundational knowledge and practical skills. From statistics and hypothesis testing to supervised/unsupervised machine learning and deep learning fundamentals, the material was both rigorous and relevant. The emphasis on real-world tools like Python, pandas, scikit-learn, and SQL made every project feel industry-aligned.What truly made the experience exceptional was the 1:1 mentorship. Weekly sessions with my mentor provided personalized feedback, kept me on track, and helped me approach each project with a data scientist's mindset. The ability to ask questions, discuss model trade-offs, and receive career guidance added a human touch that online learning often lacks.This program doesn’t just teach you how to code — it teaches you how to think like a data scientist. Highly recommended for anyone looking to break into the field with confidence and support.I haven't yet used the Career Coaching but expecting to be good with my previous experience with Springboard

I've had a great experience with Springboard's Data Science Career Track overall. I enrolled in this course with the intent of pivoting careers and becoming a Data Professional.  The curriculum is comprehensive and touches on a very broad spectrum of topics that pertain to Data Science. The consistent mentor calls served as a great tool and motivator to maintain a steady pace. I also have enjoyed having the support of various career coaches. I was a total beginner going into this course, and I've learned so much in such a short time. I have so much more to learn, but Springboard is helping me build the foundation that I'll need to transition into this new industry. 

I‘m thoroughly impressed with Springboard‘s comprehensive Data Science program. The curriculum covers nearly every aspect of the field. I highly recommend Springboard to anyone seeking a rigorous and supportive Data Science program 

I'm a 29 year old career changer with a background in Engineering who was thinking about a career change into something more lucrative, that is projected to grow year after year in the next decade. I decided on Springboard because of their Job Guarantee, mentorship, and self-paced curriculum (which by the way deeply prepares you for a career in data, and I'm someone with a bachelor's degree in engineering from an accredited University ). The mentorship was great, you meet with your mentor who guides you in technical concepts and helps keep you accountable in completing the work. If you're thinking about a BootCamp, this is the one. From the technical curriculum and the mentorship, to how to approach the job search process, networking, and building a personal brand they work with your unique situation. 5/5 on all levels, and they are less expensive than other boot camps. The data job market is shifting, and with the current president (as of the time of this writing) passing a $500 Billion dollar investment in AI infrastructure in a project called Project Stargate, this will only bring more technical jobs to the US for the golden age of AI.Super glad I did the program, and you will be to, I highly recommend it.

• My background in physics, research, and engineering helped me feel well-prepared for the course.• While a strong foundation in math was beneficial, it wasn’t absolutely critical for success.• The course material was engaging, especially during the early stages.• Machine learning was taught through a hands-on approach, starting with simple concepts and scaling up to complex implementations.• Worked on three capstone projects, gaining valuable experience in finding datasets, formulating the right questions, and executing the full data science workflow.• Career services provided excellent support throughout the program.• Mentorship was a standout feature, providing regular meetings that offered guidance and kept me on track with incremental progress.At the end of it, I feel humbly confident that I can contribute meaningfully to any data science team.

I enrolled in Springboard’s Data Science Career Track with zero prior experience in technology, and I couldn’t have chosen a better platform. The curriculum is comprehensive, breaking down complex concepts into digestible lessons that are easy to follow. The standout feature for me was the 1:1 mentorship. Having access to an industry professional who provided personalized guidance made all the difference. The career coaches offered actionable advice that gave me confidence in pursuing a career in data science. For anyone considering this bootcamp, I wholeheartedly recommend it—it’s an investment that truly pays off.

Springboard's Data Science bootcamp has a great curriculum and excellent community and mentorship support. This course is well structured and provides great materials for ML, statistics, Deep learning, python etc. I really enjoyed working on all the projects in this track as it helped me understand the concept really well. I will 100% recommend anybody looking to switch their career or upskill in Data science to join this track.

I would recommend Springboard to anyone looking to make a transition into Data Science or simply wanting to expand their skillset. Before Springboard, I had never written a line of code. Now, I am able to build machine learning models, import, transform, and visualize data, and so much more. I would say you need to be self disciplined and find a mentor that suites you. 

 The Springboard Data Science Career Track provides a thorough introduction to data science, covering foundational skills before moving into advanced topics. The curriculum includes programming in Python, SQL, and machine learning techniques, as well as mentorship with industry professionals. The course is self-paced, which is ideal for those balancing other commitments, and includes project-based learning, allowing students to build a professional portfolio. 

The Springboard program gave a great survey of the entire data science process before going into various topics. I gained a good handle on Python programming and SQL by the end. The projects were organized in tiers of difficulty which gave me the ability to complete them at any level. By far the greatest part of this program was my technical mentor. She had incredible industry knowledge  and guided me in my capstone projects so I didn't deliver work that was too simplistic or get lost in overcomplicated projects.The one thing I'd like to see in the future of the program is more time spent on the 'software engineering' side of data science. How do you deliver in the broader context  setting up models and product for commercial use within a company? I think this could be a differentiator in the future. I am very glad I chose the Springboard Data Science Track as my first introduction into Data Science.