Data Science Career Track Reviews

 My favorite part of Springboard is the ability to learn at your own pace.  I was able to schedule when I was going to go through the curriculum and take as much time as I found necessary. There were weeks when I really immersed myself in the course work, while there were other weeks when I took it easy. Likewise, career coaching truly made the course more than just a skills bootcamp. It really transformed how I view job searching, and the best strategies to get into the industry. 

Springboard provides so much material to help students master Data Science. If you just follow the curriculum, you will be more than fine.  I love the Seat, Crawl, walk, run  model they implement for all the topics. That helps someone who does not know anything about a subject in Data Science to become an expert. You can't find this type of training in Universities because they deal with a lot of theory.  Springboard will make you first of all understand the business aspect of Data Science before bringing you into the technical aspect.  The training with Springboard is very close to working as a Junior Data Scientist in a company, and I think that it was designed that way for companies to have  people that will be less trained to do their job.

If you are reading this, you probably know about Springboard a thing or two. So I will just go for the important stuff:The way I see it Springboard gives you a very nice combo: you get to work on a lot of practical stuff and you get to pick brain of a professional. You can't overestimate the value of having your questions by someone who is working in the field that you are trying to get into. These 2 points (practice and mentor calls) are what is great about Springboard. What's not so good about it? I think the curriculum can be improved. But again it's coming back to mentor calls, you can always consult with your mentor what to look for and what things to pay more attention to.Overall it's a great course as it makes the hard process of navigating the first steps in data science way easier. 

I did exhaustive research before picking a Data Science Bootcamp. I looked online, in-person -- even considered the DIY route. I landed at Springboard, and I was so pleased with (even surprised by) my experience. Springboard excels at combining a solid curriculum with hands-on learning, but what set them apart (and what surprised me) were their weekly 1-on-1 mentor meetings and rigorous career coaching focus. I wasn't alone simply learning how to become a data scientist. I was part of an encouraging community that prepared me to confidently create machine learning projects, network with the data science community and apply for jobs the day I left the program. Would highly recommend.

Pros:- The course work is extensive and to me seemed to be equivalent to a Masters Degree.- EXCELLENT mentor support and without which I would have given up. This is a key factor in my completion. Previously I tried the pathetic Udacity Business Analytics course and they lacked mentor and course work support.
Cons:- Timeline is very aggressive.- Would love to have placement support as part of the course (this is now being offered due the covid situation).- Job interviews guaranteed but placement is extremely difficult if you dont have a PhD or Masters.

Pros: Great way to get your bearings navigating through the ocean of material available to learn data science. The most helpful part of the course was hands down the mentor. After the course, you will have a solid foundational understanding of programming, stats and ML as well as a good portfolio to showcase to potential employer.Cons: There is a LOT of material so I will say I felt 6 months was a rather aggressive timeline to complete the course. Be prepared to dedicate at least 8 hours/weekly over their estimates. 

It is a fully loaded course. They are very flexible about timeline and pace and they keep checking in on you. The technical resources are well structured. You will get enough practice, and the 2 capstone projects are important. I completed my course in June. The interviews I am getting have all been focussed around my capstone. The career coaching resources are good. Make sure you follow the guidelines, they are very helpful. Make sure to get your resume and cover letter reviewed. The career coaches and mentors all give constructive reviews on your work and skills. That really helps you work on your profile.

I have started the Data Science Career Track in October 2019. It is basically a 6-month Data Science program with 4 mock interviews and 2 Capstone Projects. Even if you can work at your own pace, you need to put the dedication of 15/24 hours per week to finish the course within 6 months. However, there are options of a break from 1 to 3 weeks and a three month extension for free if you managed to finish at least 50% of your course during the original 6-month period. You have two attempts to pass each mock interview if you want to maintain your job guarantee at the end of the course. Career coaches however are very supportive and informative, especially on how to ace your interviews and how to build your portfolio and network in finding a job.  Customer service is also excellent in answering your inquiries in an informative and timely manner. Pros:- Offers unlimited mentor advice through the curriculum- Excellent on how to build your job portfolio and network as well as how to ace your interviewsCons:- Some assignment instructions are vague. Needed extra guidance from mentor and Google search to understand how to complete some assignments.

I attended the Data Science Career Track bootcamp for a little over 6 months. The curriculum is a combination of DataCamp courses, Harvard lectures, other videos and projects. I especially liked practicing Spark and machine learning. The curriculum flows very well, and there was a thought behind the order (even though they can improve it by fixing some errors). If you do the career part of the curriculum, you receive a job guarantee. You get weekly 1:1 calls with a mentor, projects support, online community support, career coach calls, and student advisor help. Overall, it was a good curse for the money I invested in it, and I would recommend others to do it.

I have recently completed the Data Science Career Track at Springboard and am very pleased with the overall experience. I believe that the 1-on-1 mentorship is the real strength of this course along with all the projects that give great hands-on experience. It is extensive and can take a long time to complete but the course is designed in a way that people without technical backgrounds and strong coding skills should not feel lost. If like me you do have a coding background, while the initial portions of the course may seem easy, there is a great variety of resources that are great for review. The team at Springboard is also supportive and flexible allowing you to proceed at your own pace offering breaks and extensions when applicable. Career support is also an important aspect of the course and the career coaches take time to help you optimize your job search and narrow down what you really want. It is expensive but I believe the resources provided give you all the opportunity to get your money's worth. Finally, I would like to add that while there are flexible methods of payment, some allowing you to pay a majority of the course fees after completing the course and getting a job, a lot of these options were exclusive to American citizens when I applied. The job guarantee does cover Toronto, which is where I am based, so I would love Springboard to provide similar options of payment for Canadian citizens

 Participated in the Data Science cohort. It started off strong, but quickly fell apart after the first module, when the material shifted from standard coding techniques that were adapted from the datacamp course to more data/math focused topics. Our teacher was under-qualified to be teaching us Data Science, and we received essentially zero feedback on our coursework throughout the 15 week program. I honestly do not believe the curriculum was ready for launch, it felt way too rushed. Numerous topics advertised as part of the course were skipped or rushed through. Some of the labs and lectures were riddled with errors, and often we were not provided lecture notes or videos as promised. The 3rd module consisted of watching youtube videos 50% of the time - didn't really need to pay 1.95 lakh for that.The career guidance was misleading, we were told our guidance counselor would be randomly selected, yet 10 of 12 students received the same coach. The career team always seemed like they placed their personal interests ahead of mine.I feel like the program was rushed, misleadingly advertised, and did not really prepare me for a job in Data Science.As an aside, I recommend actually sifting through these reviews before signing up - many of them are from people who have only completed the free bootcamp prep. I was asked to write a review before starting the class but refused because I thought that was misleading.Overall, if you are interested in a bootcamp, definitely attend one! Just be very skeptical of all promises made to you in inquiries, interviews, etc and I would definitely recommend going somewhere other than Spring board. 

I started this Spring board India data science Career track program with broken promises. Before enrolling the school GUARANTEED A FULL TIME JOB OR A FULL REFUND. None of it has happened. The first month was great the easy stuff. The months moving forward I was assigned about 7 different mentors. Reasons being they did not know data science or they would direct me to google. A lot of times the mentors would complain about the low rate of pay. If they didn't like you or if you did not meet a certain requirement they would again point you to google or say they don't know the subject matter. About 75 % of the Q & A's I registered for were cancelled, no reason was given. The curriculum is outdated and old it is a lot of reading and more reading. The mentors are not experienced at all. They just come to collect a paycheck and update their skills on the expense of the students. The school does not monitor the mentor sessions or the Q & A sessions which are just a waste of time. The slack channel your questions will go unanswered or if they answer it they will shame you and point you to an article on how to ask questions. I was not a professional programmer I was a student looking to learn. This program is not designed for students to be successful. Not a single assignment was graded or was any feedback given.Save yourself the time and money go buy the same course on udemy for $10 bucks. Employers do not look at education they look what can you build. The stuff learned here I was not even able to get a UNPAID internship.spring board is one of the most expensive bootcamps out there. And naturally, I thought it would be one of the best out there. It also had so many good reviews. Now, I think they remove all the bad reviews and just keep the good ones.It is definitely not worth the money they ask. The curriculum is not that great and teachers are fine but pacing is just awful. Also, I can not stress this enough. You can not, You can not learn programming and become developer in few weeks. If you put effort and time, you can get same resources provided by springboard all over internet.Do not go here.

 I am currently enrolled in Springboard. This program is a complete joke. The curriculum is just a few articles and drills. You have a "mentor" who is supposed to answer questions and help you along the way. My mentor regularly just tells me to google things. They claim that is the best way to learn. If all I'm doing is googling then why pay them 1.95 lakhs? I tried to talk to my program manager who was very unhelpful also. I have been very displeased with this program from day 1.
They label themselves as self paced but in fact they have a schedule they want you to keep to and you HAVE TO have  meeting a week with your mentor. If you don't finish the program in 6 months you don't the job guarantee so I feel so much pressure to finish on time, when all I wanted was to be able to work at my own pace.
Would not recommend this to anyone. You're better off googling and taking free courses online. 

A great bootcamp with the four essentials I needed for transitioning back to industry:1. Mentoring. I had a great mentor, with broad knowledge of the industry and good attention to detail so that I was pushed in the right directions. A perfect match.2. Up-to-date curriculum. I learned all the industry standard tools, very good3. Capstone projects. I did one on recommender systems, showing my creativity, and a second related to the weaker side of my CV, software engineering.4. Career support. Motivated coaches with EXCELLENT plans

Do not go for this course you will end up losing your 1.65 lac rupees with zero learning.The structure is    =  -5/5   (negative 5 on 5 rating.)Tech Support for learning/coding =  0 on 5 (0/5) Jobs - they will give you the LinkedIn jobs URL which you can also get , simply using a LinkedIn pro.i can write a lot but it's a waste of my time and your time - just don't go for this course or write me a mail on google then i can explain all pro and cons 

I would recommend Springboard to anyone looking for career transition/advancement who wants to keep an open schedule. If I had the choice again, I would absolutely choose Springboard over an in-person program. Having the whole course online meant I set my own pace of study and supplemented when I felt necessary. The course material itself is great, with a fair mix of hands-on exercises and video lectures. The curriculum is littered with mini-projects for students to practice their new skills further. The best part of the program for me was probably the mentor experience. The weekly meetings are opportunities to not just review your capstone projects, but to learn how to think like a professional. If you ever feel like you need more time to discuss something (and those half hour sessions can feel short), most mentors are available for messaging or possibly even extra sessions. One thing I really liked about the program was the heavy focus on building essential non-technical skills, like networking or storytelling. Thanks to the course material and the career coaches, by graduation, I really felt like I was ready to enter the job market.Here are some changes to the curriculum I would recommend:- Make mini-project reviews more important. While I talked to my mentor about some of them, I never saw a single review in writing. I think this would be a great opportunity to discuss theory and practice code reviews.- Course material needs to be expanded in some key areas.       -Deployment was limited to one Github mini-project and a very high-level overview video. Graduating students should probably have some familiarity with Docker or other software for productionization.      - Distributed computing was covered in just two sets of exercises. I'd prefer if there were not just more material on the subject, but some more discussion of the underlying theory.      - While this may have been a result of me taking the "generalist" track, I felt the material on deep learning was way too light. We were given only one optional exercise that worked with Keras, despite it being the easiest major DL framework to learn and the least likely to be implemented at scale. Even some more optional reading material would have been nice.   In conclusion: if you're a self-starter, someone who likes to set their own schedule and do some of their own research, then pick Springboard.