
Springboard's Data Science Course equips students with comprehensive skills in statistics, data wrangling, machine learning, and data storytelling. Delivered online through project-based learning, this program includes mentorship and career coaching to ensure graduates are job-ready. Students develop an interview-ready portfolio while building a network of industry experts.
Aspiring data scientists seeking career transition
Suitable for both beginners and experienced professionals
No prerequisites required, just a passion for data
Online, mentor-guided learning with flexible pacing
Hands-on projects designed by industry experts
Career coaching and support for job placement
Interview-ready portfolio showcasing data science skills
Comprehensive understanding of data science processes
Strong foundation for a data science career
No certifications are covered by this course.
Student 2020
Springboard is well though-out, but there can be some improvements in the overall curriculum (which are being made). Pros:- Good support system. Curriculum has a good set of professionals that are able to communicate terms very well. - Mock interview are a good idea and do give you insight of what to expect. They also booster your confidence with the overall process.- Capstone projects can be challenging if you decide to put the extra work and do help improve you portfolio to showcase it to potential employees.Cons:- Some courses need a revamp, for example the statistics part of it. While I was working through it, this specific course got updated and I really like the new version. I see that they are putting work on it, but I also think that some other aspects need to get updated sooner than later.- No course regarding big data or cloud computing. The 2nd project we have to use Deep Learning components where we might have to handle 100K+ rows of data. For a normal computer, training a model can take a couple of hours (in my case 37 hours). Leaning how to use AWS or Azure is a requirement now a days.- Better guidelines for at least the first Capstone project. It is very intimidating to start typing in a blank notebook. Getting a guideline to have an overall idea on how to start will help the student.
Graduate 2020
I always wanted to enter the data world, but lacked the technical skills to do so. I didn't want to go back to school nor did I want to go to a 9-5 bootcamp which basically was like school and super expensive. To the rescue came Springboard, providing an affordable, yet flexible plan to learn Data Science. They have amazing content and the power to connect online with so many people around the world. I was able to meet course mates from around the US and the Bay Area to link up with and work on my projects with together. Through this passion of learning I was finally able to land my first job and I have never been more excited to use something I learned in a school environment and take it to the real world.I do have to admit at times I felt overwhelmed with the course since it is online and you don't really interact with people regularly like you'd do in a school setting, just know you have resources and Springboard continues to supply additional ones as they deem it necessary or essential to help their students.
Graduate 2020
UNDOUBTEDLY A WELL DESIGNED COURSE FOR DATA SCIENCE AND OTHER SPECIALIZATIONS SUCH AS NLP & DEEP LEARNING. THE MENTOR OPTION ALONG WITH THE JOB GUARANTEE IN THE COURSE TAKES THIS COURSE TO THE TOP 1% OF ALL THE COURSES AVAILABLE IN THE MARKET. AWESOME EXPERIENCE
Graduate 2020
Goes in and covers several, if not all, major areas of data science. You do have to do a lot of outside research but you get out what you put in. I recommended taking 8 to 10 months full time to thoroughly go through the course of you have no prior experience. I also recommend learning Python before hand to truly understand the ML portion.
Graduate 2020
My experience with Springboard is exceptional and I found the staff super helpful. The curriculum has a wide variety of collections (Videos from Harvard, exercise from Datacamp, etc) towards each topic. Mini projects alongside each chapter gave me hands-on experience on certain topics which I found super helpful. Career coaches and on-demand mentors are knowledgable and patient. If there is one thing I have to be picky about is the quality of the assigned mentor, some of them can be more passionate about our work.
Graduate 2020
Easy to follow curriculum, great guidance from my mentor, support from amazing online community, career coaches and student advisor made my journey with Springboard very enjoyable. It was a wonderful learning experience and I am so glad that I enrolled in it. I would highly recommend this course to anyone looking to transition into the world of data science.
Graduate 2020
I highly recommend Springboard's Data Science Career Track for anyone who is looking to pivot careers into data science. I learned a lot through my mentors and connecting with other students. The staff at Springboard are extremely dedicated to their students and do all they can to help you prepare for networking, interviewing, and eventually being a successful data scientist. The curriculum is largely datacamp courses, but you are also required to complete 2 capstone projects. This is where you do much of your learning.
Student 2019
Springboard gets it!
I had an extremely great experience with the Data Scientist career track and put had multiple jobs offers before I completed my curriculum with Springboard. The curriculum is complete and takes a significant amount of focus and coding work. The online format is very convenient and the help sessions along with the mentors are world-class. I particularly appreciated the weekly calls with my mentor who was/is an industry specialist in Data Science. It was beneficial having a mentor to seek feedback on exercises, questions about the curriculum, and or about insight about the role of Data Science in industry. The calls with career coaches were also constructive to guide in job search efforts, including mock interviews.
One of the things that stuck out to me was the two comprehensive capstone projects. I thought these were important in solidifying your work and expressing what we learned to more significant audiences. I utilized my capstone projects to answer real-world problems at work that were met with much praise and helped to solve and or better under pressing business problems!
I highly recommend this impactful bootcamp!
Student 2019
My Experience with Springboard .
I joined the springboard course in the month of Aug,2019 and I left/discontinued the course in the month of Jan,2020
It’s not worth at all, simply i can say waste of your hard earned money and waste of time as well.
So called mentors will be not available as per the schedules and they don’t spend much time with the students in explaining their doubts or explaining the concept.
Next coming to so called office hours , coding support sessions it’s just for the name sake they fix up the sessions without even asking/discussing our availability time, i can they do as per their need.
They force you to enroll for the course by paying 1.9 Lakhs and they also provide you easy EMI/Loan by third party finance company, after your enrollment they don’t even care/bother about you concerns related to course .
Most imp thing is, they state you like 100%per job guarantee after the successful completion of your course in 6 months but the hard fact is you can’t complete the course within the stipulated time as they mentioned since you don’t get proper support from mentors/support team after your enrollment in any manner and course is not easy at all as they state you while enrolling.
Whenever you try to reach support team/student adviser to discuss your concerns they don’t pick your call many times and if they receive the call they just say will come back to you in few min/EOD or will solve within EOD but you don’t get any solutions on time or they try to convince you as per their needs.
whenever you try to raise your concerns regarding the course, you will get only one statement/answer like you are not attending sessions properly, not following the mentor instructions or you are not spending your time. They will never ever agree their mistakes and listen you concerns as well.
Most pathetic part - When you say i am not satisfied with the course or if you ask for the cancellation and your money back, they simply say we don’t have refund policy at all and they will again try to convince you to the fullest with the flashy words/statements. It’s like mental harassment .
My suggestions please don’t waste your hard money and time as well.
if you are interested to learn data science and to make career transition , we have many institute in Bangalore who offer data science course, ML , AI course with very minimum fee ranges like 15–45k with excellent course structure so please don’t get fool y enrolling Springboard.
All the videos/materials provided by springboard are available for free in YouTube .
When the entire course material is free resources why they are charging 1.95 Lakhs I don’t understand
Mentor ship(mentor call) is something they make as a star of the program. But you will get to interact with your mentor once in a week only for half an hour.
I never got a chance to discuss in detail with my mentor as there was a time constraints (mentor is be not available after 30min )
Whatever the things/words which i explained above, it’s my pathetic experience and wasted money as well.
I definitely made a wrong decision by joining Springboard.
Graduate 2020
I had a wonderful experience with Springboard. The 1-on-1 mentor experience truly helped me so much to be able to talk to a person that was in the field and pick their knowledge base. I especially think that the capstone projects made the program special. I was able to gain such good hands-on experience through these projects.
Graduate 2020
I had a good experience learning the Data Scientist job with Springboard. The curriculum is very complete and takes a lot of work. The online format is very convenient. I particularly appreciated the weekly calls with a mentor in Data Science. It was really helpful for feedbacks on exercises, for questions about the curriculum or about the job but also to guide us in the development of 2 capstones projects. The calls with career coaches was also very helpful to guide us in our job search, including mock interviews. I haven't found a job yet but based on my experience so far, I recommend this bootcamp.
Student 2020
I used it as an entry into the analytics career path. Great mentors and curriculum. Career coaches could use some work, though.
Student 2020
I had an amazing experience with the Data Science Career Track. The 1:1 weekly mentor calls really helped me stay on track with course materials as well as help with any questions I had with anything related to data science and applying for jobs. I received help with resume review, cover letters, job search, and interview questions, on top of Capstone Project help.
One slight negative I experienced was the career coaches. I would have preferred to have the same career coach throughout my Springboard experience, but the first coach I signed up with ended up getting transferred to a different career track. So I signed up for a second career coach, and she ended up getting transferred as well. The third career coach I signed up for ended up being my favorite of the three anyway, so things worked out.
Finally, I was on the deferred tuition plan with a job guarantee, which means I paid nothing until I landed a job. Which Springboard helped me with! In under a year, I was able to switch professions and land a role as a Data Analyst in a tech start up.
Graduate 2019
I entered the Springboard program (DS career track) in early 2019 after struggling to get a decent job in data science after graduating from college in the spring of 2018, despite having a statistics degree from a reputable university. After graduating from Springboard, I found an extremely satisfying job within a month. The difference in my job hunt pre- and post-Springboard was pretty much that, while this program certainly didn't transform me into a 10X data scientist, I was exposed to so many aspects of the data science world that I not only built a solid foundation in data science but I was able to "speak the language" pretty well when I was interviewing afterword. You obviously could try and learn everything on your own, but the great thing about Springboard for me was the mentor they pair you with. Reading a textbook/website is one thing, but having someone help you develop an intuition for solving data-centric problems is something else. Completely.
I obviously can't speak for anyone else, but the mentor I was paired with, AJ Sanchez, was worth the price of admission alone. Throughout the many months I was in this program, there wasn't a single question he couldn't answer. Not only that, but he's extremely personable, he's a role model both as a person and a data scientist, and speaking with him was something I looked forward to every week. You'd think someone as smart as him would be intimidating or impatient, but that was not the case whatsoever.
My only issue with Springboard was that I frequently found myself needed to reference many materials and textbooks that weren't in the curriculm. However, I've also needed to do this in pretty much every other math-related class I've ever taken, so this 'issue' I guess isn't really an issue with Springboard at all because it just was not reasonable to expect them to somehow predict and curate the best curriculm for me before the fact. You obviously have to put the work in, and for me that meant doing a little extra digging on concepts that weren't immediately intuitive to me based on the provided materials.
Anyway, I hope this helps for whoever is reading. I assume you're also doing research on other data science academys/bootcamps, like I did, and while I can only talk about Springboard, I was not disappointed with my choice. Definitley wouldn't have taken the time to write this out if I didn't think it would help someone else.
Student 2019
Springboard definitely got the job done. Their mentors and career services really make the entire experience.
Student 2019
Let me categorize my experience with Springboard in 2 ways:
1. What I liked about this course
2. What I didn't like
Like:
1. Covers a lot of areas in Data Analysis, Visualization Techniques and Machine Learning
2. Mentor Support
3. Introduces some really cool soft skills like networking, writing cold emails, etc. which I personally really appreciate
4. Opportunity to work on 2 Capstone Projects to use the concepts learned in the curriculum and some mini exercises to practice
Did Not like:
1. The time provided for each section of the curriculum is not very realistic
2. Students may lose interest and get bored after some time
3. Career coaches are helpful if you can get hold of them. But it was challenging to book a time. I think they need to hire more career coaches.
Overall, I would say, I had a good experience with Springboard.
Graduate 2019
Great program to learn data science by applying what you learn, and building your own portfolio. You will work along with industry experts, who will guide you through the entire process end-to-end. There will be times when you will feel lost, struggling with the unknowns. I think that is the beauty of the program which prepares you to solve the real world problems as well as deal with ambiguity.
Graduate 2019
After completing the program and securing a job, I wanted to come back and review Springboard again after experiencing their job search program.
In terms of curriculum, I overall enjoyed Springboard’s curriculum and learned a lot. The Harvard lectures are very informative and good for understanding machine learning theory. I do feel that their SQL curriculum is not very strong and could be improved, my SQL skills were poor when I finished the bootcamp. I also feel like there should be more information about basic Python coding - I had coding interviews that I was not prepared for.
The two capstone projects are definitely the strongest aspect of Springboard and the aspect that got me the furthest in the interview process. Having projects to talk about really helped me in my initial interviews. My mentor who helped me with my projects was really nice and helpful!
One thing that is a little sketchy that you should be aware of before you join: as part of the job guarantee, you are required to pass several mock interviews, and you only get two chances to pass each one. This did not impact me, but it is not something that is disclosed before you start the bootcamp.
I was pretty satisfied with Springboard’s curriculum, but what I was completely unprepared for was the competitiveness of the job market. It’s tough to get interviews with no experience, and when you do get interviews, you have to be perfect or they will just find someone more qualified than you. I struggled with technical interviews, particularly coding interviews and business interviews (business is not my background). The mentors that they have to help you prepare for technical interviews are not super helpful.
The job guarantee makes it so that they have a reason to help you get a job, but I honestly didn’t find them that helpful - my career coach was nice and was good emotional support but didn’t help me get referrals and didn’t help me with technical interviews. Part of the issue is that I feel like there’s only so much they can do - the data science interview process is really like the Wild West, every company does the interview process differently and it’s tough to prepare. It felt like every company was looking for something different and it was impossible to be prepared for everything because there is just so much to know.
About four months into my job search process the pandemic hit, and Springboard made a couple of major improvements to the job search program. The most important improvement they made is they created a Placements team that spend their time specifically looking for referrals and “ins” at companies for you. This was extremely helpful for me, and though the job I accepted was one that I found on my own and got through networking on my own, I got a few good referrals from this team.
The second major improvement that they made was getting new mentors to help you with technical interviews. I got a job soon after I started speaking with my mentor, but I felt like he was very good and better than the mentor I had worked with in the past.
Overall, a mixed experience with Springboard. I appreciate that they have the job guarantee program because they do try to help you, but I wish there had been more help sooner and not just because of the pandemic.
Graduate 2019
Pros:
Nice and organized curriculum, with mini hands-on projects.
Continuous help from the mentor (real Data Scientist working in industry)
Remote and part-time. So you can maintain your present job while working on this.
Opportunity to work on two capstone projects with the help and support from your mentor.
Career coaches are there to help with your resume/LinkedIn profile, networking, and soft skills.
Mock interviews to prepare.
Cons:
No in house lectures/ they are tied up with Data camp/Khan Academy/ LinkedIn learning mostly for all lectures.
Everything is remote, so you might lose motivation sometimes, where in-person boot camps are like a real school.
Not all the mentors are equally caring and helpful.
Graduate 2019
They are one of the crooked so-called educational institutions. I took their course which ensures money back guarantee if I am unable to secure a job within a time frame. I did everything according to their guideline, and now, they are making false accusations to grab my money. I will not let this organization cheat students like this, and I will take every legal actions against them. All the good reviews on internet are simply generated by their robots. They even pay some employers, so that the employers can do fake advertisement of recruiting their students after the completion of the Springboard career-track program. This is such a deceptive and fishy institution ripping off many innocent students in North America. I would never recommend them.
Jonathan Heyne of Springboard
General Manager, Data Courses
November 14, 2019
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