Springboard

I took the UX design course with springboard and I've learned a lot.

The course was comprehensive. Eventually I was able to understand how the design process actually works.

Adding to that, the mentor was very helpful and resourceful. The best thing was the weekly one on one calls with the mentor; that kept me motivated and I was able to address and solve the problems i had in my project.

Also, The advisor was very responsive and helpful.

I highly recommend taking courses with springboard.

I just completed my 12-week data analysis for business program and am I glad that I got on board with this one!

It stretched me mentaly; which was frustrating sometimes, however, I came out the better for it.

My mentor (Paras Doshi) is extremely knowledgeable, patient and kind. He was always all about my interest, which was to learn as much as was possible.

I am not sure it there will be an advance business analytics program in the future; and if there happens to be one in the pipeline, I'd sign up in a heart beat.

I recently completed the  Foundations of Data Science course. It took me a little less than 3 months to complete the curriculum and  capstone project. 

The best part about Springboard is the mentoring. I loved my mentor--she was extremely generous with her time and knowledge and her interests and mine aligned very well. She was always quick to respond and really encouraged me to push forward with coding and analytics that I felt usure about. I really miss my mentor!

I came to Springboard with no coding background , but with a graduate degree and some knowledge of statistics. Springboard does not make ANY of their own curriculum and they don't craft any tie-ins or connections between the different lessons. A large part of the curriculum is based off of Data Camp to learn R. Learning through Data Camp has it's own set of challenges and none of these are addressed by Springboard. Other components of the course include the EdX Analytics series and dplyr videos through Data School. Many of these resources are good on their own, but none is complete enough to give the student (or at least one w/o a coding background) sufficient foundation to tackle the assignments. Often the assignments are so disconnected from the curriculum, that they are difficult to complete w/o help for your mentor--which is OK to a degree, but given that each mentor session is 30 minutes--often time runs out before addressing the capstone and other project concerns. I really feel that more attention should be paid to the curriculum---it is certainly OK to use resources from other sites, but there should be reinforcement of key concepts like..writing functions...through either supplemental videos created by Springboard, or focus lessons during the office hours.

With regard to job assistance--there is none and the career materials provided, again are brief You Tube video clips or books that are not presented in any kind of way to give the student a view of the field, options for careers or even guidance in terms of moving forward with skills, once one completes the course. In fact, after completing the course, there is zero follow up or transition. I never received any certificate or any kind of "next steps  if you want to keep learning" email. Once I finished and got my rubric from my mentor (and stopped paying the monthly fee), Springboard went off the radar.

Compared to other online data science training programs, the best part of the SpringBoard is the mentor system in which they assigned a prominent Data Scientist working in the industry as your mentor. Using google search, everyone can easily find thousands websites for the data science courses. However, for the people without data science background, like me, it is very hard to know what kind of knowledge and skills for the data science in the real world. This training equipped with both theoretical and practical skills to solve industry problems. With the mentor system, I was assigned a mentor to learn first hand how to think like and solve problems like a data scientist. At the end of the training, I finished a project to solve a data science issue in the real world. The feedback from the expert is extremely important for those people want to find a data science job but have no experience on that. The only one thing to complain is my mentor knows too much, it is hard for me to digest all of them in a short time. Except for the mentor system, I also enjoyed the data science community. In the community, you can post questions or share experience with others. I always learned a lot of update information about data science there even after finished the training program.

Springboard's Data Science Intensive is a great blend of self paced study, practical coursework, and mentor led training. As part of my mid-career self improvement, I had begun looking at post graduate data science programs at nearby universities. During my research I came across Springboard which was offering a course of training that covered all the same topics as the university programs with better cost and schedule, and complete with access to a data science mentor currently working in the industry.

Having completed the program in early 2017, I feel I came out with a solid technical foundation in data science techniques and tools. On top of that, the practical advice from my awesome mentors was highly valuable with insights into day to day responsibilities and expectations. And, while the sense of community may not have been directly integrated into the course, Springboard does provide the infrastructure of slack channels and office hours for support and communication among students. 

Hey everyone, I want to let everyone know that this workshop has changed my life.
As a student in software engineering... Sticking with the discipline and the kind of learning I went through, it didn't give me a wider range of knowledge i wished to seek.
There was no design or human interaction involved out of school. There was no vibe of control over the things you want to do. Everything was structured and it just wasn't my taste.
So, I decided to take UX Design in hope that it would play along side with my Engineering/Programming background and build a more diverse portfolio.

In the workshop, I finished it in 3 months. Depending on how much time you want to put in it, how fast you want to complete it is all up to you. Obviously the more effort you put into the workshop the more you get out of it. It was very flexible to my time but also intimidating to the point where you're not making use of all your money if you decide to miss a week or even 2 weeks. I honestly could've finished it faster if i put my full focus into the workshop. And that's the point of this program, you work at your own pace and you figure out when you can subsidize it with your daily routine.

I've learned quite a big chunk of stuff and used it to my advantage for my school courses(depends) as well as outside business work.
Do you think I recommend this workshop? I definitely do. You will also get a mentor that will guide you through the course and make sure you succeed with satisfaction. Heck, I already miss my mentor :c

I have taken the data science intensive course which is python based and it really helped me gain a proper understanding on how to deal with cleaning data, pre processing data, doing exploratory data analysis and machine learning. The course material is great. It is simple and easy to learn. The 1:1 mentor sessions every week was super helpful combined with an entire community of data scientists helped me engage in several things. The youtube videos on career and interview prep helped me a lot as well. The topics discovered were very much aligned to what they would expect in a data science interview. I even had a couple of mock interviews. In overall, a great experience, definitely recommend it.

My experience with the UX Design course at Springboard was incredibly pleasant. The materials gathered and provided to the student are thorough without being overwhelming. Being able to work at my own pace has always been the best way to learn for me and the mentor calls provided insight that you wouldn't be able to receive in a traditional classroom setting. My mentor encouraged and helped me set proper goals for our next calls and in the end I had a great portfolio to use for future positions. I would definitely recommend this course to anyone wanting to further their UX knowledge and build a portfolio.

I really enjoyed the Springboard UX design program. It's self-paced, so you do have to have some motivation to finish / get work done, but I found the curriculum to be a great overview of all aspects of UX. I thought all the info was relevant and interesting, and confirmed that I want to work in UX for a career!

As for timeline, I was able to finish the program in one month while also working a part time job. I only felt a little pressed for time at the very end when I was finishing up the final project.

The mentor calls were particularly helpful, especially for career and portfolio advice. Overall I thought this course was great and would recommend it to anyone who is interested in UX.

It was a pleasure and I enjoyed it very much! Upfront I read that former students found Springboard to be so effective because of the mentor calls. That is, for sure, a very important reason. But I want to add that I find the current curricular also very well thought through. I noticed how I was able to put more and more pieces together and create a complete picture of what the course was promising. Well done guys! Thank you very much and all the best to you! I can definitely recommend Springboard!

This is a review of the Foundations of Data Science course through Springboard. I've found the course to be very thorough and specifically catered to an individual with little to no knowledge of the basic tools of large data compilation, analysis and presentation. Real-life data is messy and the course caters to the basic process of cleaning and compiling data that is then suited for hypothesis driven analysis.

It is expensive and well worth if only individuals have substantial time allocated in the day to completed both learning of concepts as well as implementation of the code. One can avail of several shortcuts during the course , which would severly handicap the learning experience. Hence the onus lies on the individual to put an honest effort to work through the datasets in conjunction with the instructors to get the best out of the course.

The self paced learning and the help of the instructor helps busy individuals like me to get a grasp of odd concepts and move through the course. Along with my assigned project I was able to apply concepts to my personal work which is doubly satisfying.

If I were to repeat this course, I would go through the courses in Datacamp, complete them and then join the Foundations course.