I had a terrible experience working with Springboard for the user experience module. The mentors assigned to me,  other than the one or two individuals i have worked with were disrespectful and were not considering the need to allow for students to pursue their civil liberties. The unjust interference in attempting to tell me that I should spend my time working on a project for the healthcare industry as opposed to working on something for the fashion industry is absolutely ridiculous and uncalled for. It is unamerican, I have wasted so much of my time trying to work alongside someone who doesn’t see eye-to-eye with me when it comes to things that truly matter. Springboard’s mentor matching program seriously needs some major improvement and maybe even a variety of mentors spanning across various industries and sectors. Narrow-mindedness doesn’t help. Having already been exposed to UX material, I should have also been able to complete the course much earlier, but due to these conflicts with said mentor and attempting to work alongside and take guidance from someone whose values differ conflictingly from yours, it took me more than twice the amount of time to progress through the course. I could not complete the course due to these issues and having considered the fact that I’m paying $499 a month just to work alongside a conflictingly contrasting individual. It was totally unnecessary and I have most certainly asked for my full refund back for the course as I have dealt with absolute ridiculousness and have come out of the experience with no additional valuable UX mastery. Ridiculous.

The main positives to take from the course are the interactions with the mentor and the interview preps. Now I had a very hesitant mindset about applying for a bootcamp wondering whether I would be able to get employment considering I do not have a computer science degree or a STEM degree. I have a political science degree. I was told that these things do not matter and that you can easily land a job after you get both your projects done. I had done very detailed projects and posted them on github and did everything the career coaches suggested I do. Unfortunately not a single data science position had reached out to me. 

Now for the curriculum. This was sadly most dissappointing. The course mainly revolves around data camp courses. And then these are supplemented by youtube lectures from Harvard or other institutions that would talk about the subject with the impression that you have intermediate knowledge of the subject matter, despite it being a beginners intro video to a concept. I have had much better success with the self study resources available on the internet, such as youtube tutorials etc. Also did two Udemy courses for 11 dollars each and got a better understanding of the subjects. There was no feel of an actual boot camp teaching you, they basically link you to external sources that arent theirs. 

Great course to get an introductory knowledge to UX. There is an indepth explanation of the entire process with references and helpful links. Through the projects and assignments you get an idea of what UX design entails and the processes to be followed.

I enrolled in the Springboard Data Science Career Track on December of 17, completed April 19. Due to life circumstances, I had to freeze and extend my completion date during the latter half of 2018. When I returned, I made sure I kept the same mentor as that was an absolutely highlight of this experience. I was working full-time while enrolled.

Pro:
Mentor relationship

Con:
Depth of coursework

My mentor was simply superb, this was in my opinion the best feature from this program that differs itself from others. Having a professional data scientist with working experience to offer insight concurrently while the course progresses enhanced the learning experience, I was able to bounce questions and solicit feedback both from course content and my perfornce freely and openly on a weekly basis. This has helped fuel my growth tremendously.

Although, in my opinion, I wish there was stronger emphasis and more depth offered on the machine learning portion of the coursework. For those who are curious, the way Springboard structures their coursework follows the format of data science work flow: Familiarization with programming -> Data Wrangling -> Exploratory Data Analysis/Visualization -> Statistical Inferences -> Modeling/Machine Learning -> Delivery of Results/Implementation. This flow offers a very good broad perspectives on what a Data Scientist does, but I was left craving a bit more material on the depth of Machine Learning models, such as the math and science behind some of the methodologies and the tools used.

In terms of Job Assistance, I thought the career advisors I worked with provided good feedback. However, I thought a lot of the resume and cover letters support are readily available online already, and that the job opportunities within Springboard I noticed are more relevant for students in the SF Bay Area and NYC. For those not living in the two areas, the process will not be noticably easier.

I was completing my PhD in geophysics and I started my online course on Data Science with Springboard. One of the things I really liked the curriculum it stated with the basics and then went difficult. The curriculum helped me to understand the bigger picture of Data Science. I really appreciate the mentoring part of the program. It really helped me to get a good understanding of various topics in Data science. Without mentoring, I would not be confident in communicating with the Data science group. I shared my articles in Medium and LinkedIn and got acknowledged by the Data science group. I am still working with the career service to land a job as a Data Scientist. I can honestly say that I would not be able to make a transition from geophysicist to data scientist so fast without Springboard. Also special mention to the staff, incredibly responsive and helpful.

This course is self paced and Springboard did a great job of estimating the amount of work necessary per week to get me to my desired completion date. I needed/wanted to complete the UX Design course in three months and their curriculum plan (with timing) worked very well for me.

Before I started this course, I didn't know how to code, and I didn't truly understand what data science was.  But with the help of my mentor, the curriculum, and the projects in the course I know have valuable skills and a deeper understanding on how to analyze data.

This course is perfect for setting up your own pace. Since I had 0 experience coding, I was not pressured to cover it in a pace that I wasn't comfortable with. In contrast, since I did have a background in statistics I was able to quickly go though all of that material without being forced to work at a pace that didn't suit me.

Springboard is the best place to start!

Lot of material and practice with data munging/cleaning/visualization. However, certain topics, such as Spark and Data Science for production, are only covered superficially with no actual practice. Overall, there are plenty of resources to practice the general skill set needed.

This is an entry level boot camp program designed for students with limited background in data analytics.

Pros: Weekly mentor calls is the main selling point, I enjoyed chatting with my mentor, but you need to be well prepared with agenda items, otherwise 30 minutes can pass so fast with no solid progression made. The mini projects in Jupytor notebooks are all very interesting and insightful, I think I've learnt more from those than videos and quiz. While I can see the trace that those are probably not what they originated, they did make modifications to those projects so it ended to be a good summary of each section. 

Cons: I'm not a big fan for a student proposed capstone project. I can easily imagine someone getting stuck at thinking about valuable business ideas and reliable data source to begin with their project, especially for a program facing inexperienced students. The program course material is mainly from Datacamp, there is nothing wrong with that business collaboration, but you won't feel happy realizing Datacamp subscription is only $29 per month. I convinced myself I'm mainly paying for the tutoring, and this could be subjective people believe it worth the price or not. Not much job support if you are not choosing the career track.

One suggestion I'd like to make is to alter a little big the tempo of the program. Currently I can strong feel a jump of level of difficulty moving from statistical inference section to machine learning, and I consider myself half-experienced for those topics. If this is supposed to be a program for people start thinking about exploring their career at data analytics, I think you can simplify on machine learning topics and make the mini project as easy as what datacamp offered. If you believe this is a hard-core data science program, you'd like students to put more hours into the topic.

The program gives great job support and has a great curriculum. The curriculum combines some lectures providing theoretical backgrounds of the algorithm, coding lessons, homework and projects. I have gained a lot of knowledge on Python and Machine Learning.  

This was an excellent program to gain exposure to many different areas in the data science process. I had excellent support from my mentor and the career resources during the program, and am confident this will continue throughout the job search. The curriculum is very good, although some issues are slightly present due to pacing but are relatively minor. There is a lot of work which will need to be done in the program over a long period of time but if you are willing to put the effort in it will certainly be worth it. 

The introduction to UX Design takes students on a comprehensive journey into the field. The flow of the curriculum demonstrates the progression of the UX workflow, and gives students not only the ability to gain the skills and understanding of this process, but leaves them with the work to prove it. I'm happy to have a portfolio completed and ready to present to employers. This was an extremely helpful course for a complete beginner, and I'm confident that it will help me to changes careers into the UX field. 

Was extremely helpful course. Loved the mentor experience.

Springboard UX is a great course for learning UX Design. This course offers valuable insights and knowledge into various aspects of UX Design. You have the opportunity to meet with a UX designer once a week via Skype. This gives you valuable real-world insights into what you are learning. 

This is a great course if you are ok learning online. If you need the experience of being in a classroom setting where you can ask questions, then this probably isn't the course for you. 

I went through the intro to ds class late 2017.  The material was great and having a mentor to work through my capstone project was invaluable.  It helped me to apply the skills I learned to a real life problem and set me up to speak to the project in job interviews.

This course gave me everything I wanted. I learned all the necessary skills to get the job I wanted. I went from a data analyst to a data scientist, doubling my salary. 

I did this program in under a month - to save on the tuition. I was between jobs so i had the time and the outcome was good. The flow, the course - it all made sense. And, in the end, with the capstone project all assembled, it was has been a great tool/resource for discussions in the interview process for UX design hobs. 

I started the Data Science Career Track bootcamp in April 2018, completed Aug 2018. 

BACKGROUND: Graduated with a master's in one of the biosciences, few months prior to bootcamp. Due to my work, already had background in data analysis, stats, and programming in another language besides Python. Some Python tutorials were sufficient for applying to this bootcamp. 

CURRICULUM:  Covers required basics, esp for data science interviews. Mostly based on pre-existing materials online, but Springboard does the legwork of sifting through the overwhelming sea of Internet resources and curating them into a chronological curriculum. Additionally, they’ve got their own resources, including lists of interview questions and networking how-to’s. These were immensely helpful. I also used the interview questions as a study guide, which paid off as several topics appeared in actual interviews. 

STAFF/MENTOR: Lots of support – you can schedule calls with a career coach, do mock interviews, and generally interact with other people in what could otherwise be an isolated journey of self-teaching. Incredibly professional and knowledgeable staff, very responsive customer support. 

I was also very happy with my mentor. The first one I was assigned to was a bit lackluster, but after having to postpone my start date, I ended up with another one. My weekly call with him helped me stay on track, and he was incredibly helpful and encouraging. This included post-bootcamp, when I sought his advice on choosing between jobs.

CAPSTONE PROJECTS: Critical part of my resume, since I didn’t have industry experience or data sci projects where I used machine learning. Starting a project can be intimidating and unfamiliar, so the bootcamp provided me structure. Another Springboard staff member grades your project and provides feedback - I wish their comments/suggestions were more detailed though. 

COST: Steeper than I’d liked, but it paid off. I had the freedom to pursue this full-time, so I did the per-monthly plan hoping I’d complete it within 2-3 months. I ended up taking 4 months, but still avoided the heftier 6-month charge.

JOB HUNT: Again, YMMV – like I suspect w/ many bootcamps out there. It’ll be up to you to do a lot of the networking. I reviewed my Springboard curriculum, plus lots of extra reading outside the curriculum (particularly practice tech & behavioral questions). Also deployed one of my Springboard projects as a Flask web app. I went to events/Meetups, did informational phone calls w/ close and distant contacts, and applied to several jobs (requiring cover letters) each week. 

Overall: Good self-paced curriculum that covers the basics. Pricey, YMMV, but worth it for me ultimately. I found a job 2 months after completing the bootcamp, but a lot of the post-bootcamp work was on me to apply, network, etc. Happy with my mentor and interactions with staff.

great course. fast paced. mentor help is invaluable

My time as a student at Springboard has been nothing but AMAZING. I was paired with an awesome mentor that really pushed me to excel in my studies and building my portfolio. Without my mentor, I wouldn't be in the position I am today, ready with confidence in tackling my UX job interviews with confidence. I now have an awesome portfolio in which he let me know the rights and wrongs in building one. For what I got out of Springboard, it is definitely worth every penny compared to other UX bootcamps. I would highly recommend Springboard for the price and opportunities you get out of the curriculum.

I took Springboard's UX Design course. I have to say that the weekly 1 on 1 mentoring calls is what made Springboard better than any other course out there. Not only you get an accountability partner, which is really critical to complete a course (Most MOOCs students failed to finish a course), but you'll also be getting industry professional insights. 

I was paired up with a mentor that works in a top Silicon Valley company. I can't be happier to learn from her experience and industry knowledge every single week. Thanks Springboard for the top notch online education!

This course really built my confidence in preparing me for a Data Science career through extensive Python training and working through multiple projects. I felt like the program extensively approached the fundamentals while providing support and resources to engage with both the material and employment process. I felt like they truly cared about my development. My only hope for the program was that there would be more practice using Spark and SQL seeing as those are becoming absolute fundamentals in the job market. 

As I was thinking about making a career change to tech, there were so many different paths and fields to take. Springboard was a fantastic help because they have some good, free resources on their site that detailed what these different paths and fields really do! After some more research, I decided to enroll in their UX Design course. Every single bit of it was project based, hands-on experience. They also paired me with an amazing mentor who is a professional in UX Design. We would have weekly Skype meetings and she would give me tons of feedback and advice! I definitely recommend Springboard if you are serious about learning and motivated to gain experience for the career you want!

What I like most about the course is that systematic introduction to every aspect of data science, excellent mentors ( I like my mentor a lot, he's very very knowledgeable and resourceful and taught me a lot), very helpful and encouraging career mentors, and very practical and interesting exercises to help you apply what you've learnt in theory. IT WAS INTENSE. As a full-time Ph.D. student working on transitioning to this field, I've got lots of school work to do. But luckily I had the flexibility to explore this course after school, and I really enjoy it.

I don't particularly like the order of extra learning materials and career materials at the end tho, but again you have the discretion to complete the course in whatever order you like