UPDATE (Got a job!)

This is the absolute best UX bootcamp you will find for the price and quality.  I found contract work 2 months after applying for jobs and continue to receive career support as I look for full-time positions.  I was also able to complete the course in half the time for half the price.   If your curious about how to complete the track super fast and efficiently please DM me - andrew.hopkins.d@gmail.com - I'd be happy to send you some lessons learned or answer questions :)  Feel free invite me on LinkedIn or view my portfolio there to gauge what you might come out with: https://www.linkedin.com/in/drew-hopkins-53052a114/ 

REVIEW

I thoroughly researched all of the other options before entering into this track, this one's the best.  Other bootcamps charge $10,000+ for coursework that teaches the same principles over the same length of time.  Additionally, springboard comes with a straight-forward job guarantee.  

The quality of the course material is excellent.  I’m an avid learner and have taken many online courses through community colleges and state colleges.  The amount of knowledge you gain and support you get from springboard makes universities look slow, petty, wasteful, unresourceful, and greedy.  Much of the course material is drawn from online sources, but this is now common practice in higher academia.  The coursework is highly informative and of sound quality (rivaling and surpassing the quality of a HCI course I took at PSU for example).  

What’s more, at the end of the career track you will also have a portfolio and a website platform to showcase all your work - critiqued by senior designer to make sure it looks right. And a CV and cover letter that is evaluated by those same designers.  You also get a weekly one-on-one mentor throughout the length of the course.  My mentor, Ciarda, tailored every session to my needs, was efficient beyond compare, and was always accessible.  You can also schedule help from additional mentors whenever you need.  

Finally, the administration of springboard is flexible, personable, and does right by its students.  I had the intention to complete the 6-month track within 3-months (I was on the month-to-month payment option so this would make the course $2,000 less for me).  There were a few set-backs that pushed me a couple days past this deadline.  The career track manager, Dave, very kindly worked with me through the obstacles to make sure everything worked out fairly. 

Going into it, I was worried a bootcamp might just be another form of degree-mill.  The company isn’t about extorting students for money, but really wants to empower students to learn and earn a good name doing so.  Way to go!  I’ll likely be coming back for the AI/Machine Learning track once I get my Python up to speed :)

This Bootcamp really allows you to start from the basics and work your way up. It's flexible, online and comes with a great community and mentor support. I am very happy with results and opportunities to learn and grow my career and marketing knowledge.

Springboard was great with providing a clear path to learn about data science. The course is well laid out and progresses naturally, building on previous concepts. The 1:1 mentor time is critical in getting things clarified and individualized help, make sure you get the most of it by knowing what you want to discuss. The course is designed for 6 months but if you have limited to no coding experience expect to put in more time. Great support from the staff and career coaches as well. I came from a physical science background, so was lucky to be familiar with a lot of the math and statistics the course covers, but others may find having to spend extra time on that as well. Being able to work on projects that you have interest in is also a great way to make it more exciting.

Overall I had a good experience. Springboard uses other online courses, like Bootcamp, to teach you. My mentor experience was very good, he was very helpful and made my experience much better. I reccommend prior experience with Python or R otherwise the 6 month timeline is difficult to achieve.

This bootcamp really provides you with the necessary tools to learn from the basics and provides you with many outlets of support. It can get a little tempting to start slacking when you work all online but if you put the time and effort into the curriculum, you will be able to come away with a much broader sense of understanding along with technical skills.

It is tuff to get started and focused as online can be intimidating. Once you get passed that, the whole course is great. You get great feedback from a mentor who is in the field. I finished just under 6 months as I was working a full time job. If you have all the free time, use it and get done quicker. Don't just fly through the course, take your time and learn. If you get stuck ask quetions in the slack community, mentor or career coach. They are all there to help us succeeed.  

Springboard has a great curriculum. I found my Mentor's feedback invaluable. He’s very analytical and thoughtful about it, and is realistic about what is achievable. He is very talented. It’s a really useful experience.

I compared a lot of bootcamps before I decided to pursue my data science journey with Springboard, and I am very happy with my decision. 
I graduated with a major in bioinformatics and worked in research laboratory, so had very little data science experience when I started with the program. Although, I did come in with prior programming and statistics experience which definitely helped me in the first month of the bootcamp. 
The curriculum is very well designed with nicely curated material. It teaches you the most important skills that a person transitioning into DS would require, but at the same time gives you the flexibility to work on projects and pursue the learning journey with a bit of autonomy.
The mentoring was also a great experience, it was just the right amount of support that I needed - my mentor provided motivation to keep rolling and was very helpful when I was feeling stuck, and also provided insightful feedback. 
My over all experience was amazing and this program helped me make my transition into data science without a CS or math major and helped me feel confident about my skills. It is a great program for anyone who wants to transition into data science or just hone their skills further. 

I was interested in a career change but didn't know any data scientists. It's probably possible to learn from other free sources everything Springboard curated for me but I didn't know where to start and without guidance from a mentor, it was hard to guage where I was in this journey towards a career change. I felt having 1-on-1 access to a mentor was worth the price of admission. I truly valued my time with my assigned mentor as he was encouraging, helpful and experienced about the subject matter. Although I didn't take the career track, my mentor answered my career related questions. As a working professional with a family, Springboard made it possible to follow a syllabus and learn at my own pace.

Well-organized intensive online boot camp covering all aspects of the data science life cycle. In addition, materials on advanced topics (NLP, recommender system, Spark, etc.) are also included in the curriculum. The weekly one-on-one coaching call with industry expert is my favorite, providing necessary guidance and keeping me motivated throughout the program. Overall, I had a nice learning journey with Springboard and appreciated all the supports along the way. If you are looking for a good online boot camp with flexible hours at a reasonable price, Springboard Data Science Career Track is a good bet.

I took Springboard when I was still working as a full time web developer. I didn't have the opportunity to do any design work like was promised in this position, so I started to look at other options to pursue a career in design.

I went to school for Graphic Design before my web developer job and I was freelancing on the side, but it wasn't something I wanted to do full time because I saw how the trend in the work field was shifting from print to digital. I have a friend that is a UX Designer and after learning about what she did, I knew UX Design was a career I wanted to pursue. 

I chose Springboard because I was impressed with the curriculum and I liked that the max amount of time I'd have to spend weekly on doing assignments was 15 hours a week which I could handle with having a full time job. I also liked that all students get a mentor while they're doing the course, and Springboard was more affordable and shorter term than the other courses I looked at. It was also completely online which was ideal.

I already had experience doing month-long coding bootcamps in order to learn web development and a 6+ month course was not something I was interested in, as I was trying to transition to a new career as quickly as possible.

Springboard covered a lot of topics on the research side of UX which was what I was ultimately interested in because I already had experience with User Interface Design. My mentor, Cari had a plethora of knowledge about the UX design field since she's done it for about 10+ years. She provided helpful constructive criticism on my assignments and my projects would come out more pristine and better aligned with the industry standards after receiving her feedback.

Dave was an awesome student advisor and was always available to answer my course related questions. The course offered Office Hours in the evening which included interviews with UX Designers who had been in the field for a few years and would offer advice and share their experiences. I only went to a few of those but the ones I attended were helpful.

I started interviewing for my current job when I was in module 8 of the course. It was at the same company my friend worked at and she encouraged me to apply. Springboard seriously prepared me for the interview process even though I was no where near the career prep section of the course (that's module 14).

However, everything I learned up until section 8 helped me through the interview process, and Springboard's articles on Medium about preparing for interviews was also a life saver. The course in combination with the articles taught me how to explain my work and discuss the typical UX design process, since I had experience with that through the course.

I was interview around 4 times, with different members of the team/recruiters which included an in person interview and I also had to do a design challenge which I was very nervous about but I took everything I learned so far in Springboard and applied it to the challenge. 

I'm happy to share that I got the job and have working there for 3 months (since January), but I decided to still continue with Springboard and I completed the course the end of February 2019.

I would definitely recommend Springboard to those who already have a design background and are looking to gain more experience in the research aspect of UX Design. Even those who have a research background such as Psychologists, Communication/Marketing (I have a BA in Communication) majors will also find the course helpful if they're looking to transition into UX, however, the UI Design section isn't as thorough in this course like in the UX Career Track, as this course is only 3-4 months long.

If you're looking for a course that goes more in depth when it comes to UI design, the UX Design Career Track for Springboard might be a better option. That course is 6 months long with career coaching and a job guarantee, but the application process is much more extensive and the price is higher. You also have to have a previous design background to gain entry into that course so the UX Design course that I took might get your foot in the door.

Overall, I'm grateful for Springboard and all they have to offer. I highly recommend them!

Note: The course I took was originally a Skills Track called UX Design when I was enrolled, but it's now called UX Essentials.

Well-organized intensive online boot camp covering all aspects of the data science life cycle. In addition, materials on advanced topics (NLP, recommender system, Spark, etc.) are also included in the curriculum. The weekly one-on-one coaching call with industry expert is my favorite, providing necessary guidance and keeping me motivated throughout the program. Overall, I had a nice learning journey with Springboard and appreciated all the supports along the way. If you are looking for a good online boot camp with flexible hours at a reasonable price, Springboard Data Science Career Track is a good bet.

I tried many times in the past to learn data science, but work always got in the way. My top 3 ways way that Springboard helps you. They help you focus on what is important to learn so you spend less time on learning useless information. Your mentor is able to guide you when you do not understand certain concepts. And they make you concentrate on career development which is the part I hate doing, but it is the most important. Overall, I am glad that I have taken this course because I feel confident that I have developed a great foundation to start my data science career. The rest is up to me to learn and develop myself to become even better. 

Springboard's project-based, mentor-guided curriculum combined with their helpful and friendly career services and support staff made for a wonderful experience as a student. There is a broad range of skills learned and practiced through projects including statistics, hypothesis testing, data visualization, SQL, and applied machine learning. Through your capstones, you can dive deeper into data science topics that interest you. Since there is a job guarantee, a fair amount is asked of students, including finding additional resources to help complete projects. For me, this meant spending a minimum of 20-25 hours a week, so make sure you are able to carve out time in your day on a consistent basis.

Great class, it was a lot of fun. I learned a lot which has got me started. My mentor was great and the program had good pacing. Looking forward to starting my career as I get more experience.

Overall I had a pretty good experience with Springboard. The curriculum was very robust, and I felt like they covered a wide range of topics. I found the homework to take much longer than the suggested time, but the Student Support was very helpful, and gave me specific help and corrections for my work. I got a job a few months after I started the program, so I can't speak much to the job support, but I'm glad I had the opportunity to build a portfolio. The mentor aspect also kept me honest and on task, which was positive. 

There are probably some people who are very at selling themselves and wont need this program, but for people like me it was immensly helpful. In particular, the help in building a network and assembling a portfolio it was really helpful. It's farily pricey, but I can confidently say it would have taken me much longer to find a job without it.

I was constantly looking out for a UX course from past 1.5 years or so. I wanted a classroom training but there were limited to no options. I had to settle down for an online course and I can say I made the right choice by opting for Springboard. 
I asked few of the designers to go through the curriculum and give me feedback and everyone suggested that the curriculum was thorough and covered all aspects of the process. I completed the course a few days ago and here is my detailed review :

Pros : 
- The course is self-paced which is exactly what I was looking for. 
- Every student gets a mentor and my mentor was really very helpful in resolving all the issues that I had. 
- The course material covers almost every important aspects written by great authors.
- Additionally, you also get 1 year lynda.com subscription which you can utilize to learn more in-depth about UX processes.
- Very supportive student advisors. 

Cons :
- Mentor calls are usually once a week and sometimes they are busy and cannot get back on time. 
- For countries like India, the fees is a tad bit expensive. 

The last 6 months has been quite the journey and I'm happy to have chosen Springboard to jet-start my data science career. The program covers a lot of ground and includes concepts such as Python programming, SQL databases, inferential statistics, building your resume/cover letter, networking with professionals, machine learning, etc. 

Pros:
- Everything is online so you can learn at your own pace.
- You are assigned a personal mentor who is a data science professional.
- You have access to extra daily mentor calls with one of the other data science mentors.
- The course will help you complete 2 major capstone projects that you will add to your data science portfolio.
- The curriculum is very thorough and presents you with an abundant amount of resources for learning.
- There are many mini-projects along the way that help you practice your learning.
- You can schedule calls with career coaches who will help you prepare for interviewing and beefing up your resume.

Cons:
- Since everything is online, there are no live instructors who give you feedback in-person.
- Getting feedback on your projects may sometimes take a while because the TAs are typically busy.
- Some of the material was confusing, which resulted in difficulty understanding some of the concepts.

Overall, I would give Springboard a rating of 4/5. I definitely recommend it to anybody interested in becoming a data scientist!

The program helped me to better understand what skillsets that are required to become a data scientist. The most helpful resources from the program are from their mentors and career services. The mentors are data scientists or quantitaive positions from the industry, where they can support your personal projects, interview feedback, and questions that benefit your transition in to data science field. The career service is excellent. I finalized my resume and a set of flow for behavior questions from the program. I feel I don't need to worry about my behavior questions in the future anymore since I learn tips and what people like to hear from the interview. 

I also appreciate immediate service from the program everytime I email them, especially thanks to Kane Li, she is super responsive and helpful. I feel to be taken care of and being supported from the program. 

The only cons for the program is overall the materials are easy and are limited in shaping your ability in becoming a "real" data scientist. The only way that enable you to become harnessing in data science field is by doing capstone projects. I learned a lot from the capstone projects. You can choose an easy dataset as the capstone project, yet I think it would be beneficial if you choose dirty dataset to work on, while it is very time consuming but I think that's what people are looking for as a data scientist in the real world. I am still revising and optimizing it even after I graduated from the program. 

In summary, the program prepare you well in basic skillset and directions to become a data analyst/ data scientist. You will have a clear head of how and what to work on to transitioning to this field. 

I did the UX bootcamp and learned all the general principles behind UX design, also learned with rich content from various credible authors and teachers. Highly recommend this for anyone who's not looking for an expensive full time bootcamp. You get one on-one interaction with tutors regularly with video calls and an actie forum for assignment feedback.

The curriculum has probably changed since Oct 2017, some of the criticisms may no longer apply.

The strongest part of the course is the mentor(s) and the career coaches. 

The curated course content overall is very good, though some lectures are from 4-5 years ago.
The main focus is the two capstones and the mentor interaction to keep you moving forward on them.
The Python Datacamp courses (at the time) were mostly useful, though at some points I used other materials from courses like Udemy or LinkedIn Learning where the curriculum fell short of the coursework being asked.
Why the coursework at many points had incorrect time-estimates for the (2-4 hrs suggested but actually needing 10-20) is confusing. We constantly posted about it in the forums but nothing seemed to happen.

Also, some coursework questions and worksheets were out of date or missing. If you have a full-time job then staying on a schedule based on the course completion time then you will falling behind.

The most common observation on the forums was the poorly supported statistics element, with insufficient course material for a crucial element of data science and insufficient study material for the coursework.

Since graduation, I have work every week or fortnight with my career coach to refine my resume, profile etc. I am getting invitations to on-site interviews and phone screens. I have placed my focus on Data Analyst roles instead of Data Science roles, as even a junior data scientist role is a senior position.