Springboard

I started the UX Design course at Springboard with one major goal in mind: to land a job in the field. I had lots of design experience and some UX experience under my belt, but apparently not enough to get a job. Springboard was the extra push I needed.... Read More It was super useful because it taught me a few extra things about the UX process that I didn't know and I was able to ask my mentor lots of questions. It gave me a structured and organized way to add a big piece of work to my portfolio and low and behold, as soon as I finished the project I was able to land a job in the field! If you already work in UX design I'm not sure that you'd learn a ton of new stuff, but I would definitely recommend to someone looking to get into the field.

I really enjoyed the springboard UX design course. The mentor component is a big advantage to other online courses. While I couldn't always complete tasks each week due to life, it was nice to have some accountability but also support and guidance from... Read More someone in the field. The course is setup nicely to teach concepts and then provide an opportunity to apply the knowledge directly to a project. Choosing your own project is also fun because you are more inspired to improve something you don't like. Well laid out with a study plan too.

Pros
The career track was a good learning experience. You get good support from teaching assistants, mentors and career coaches. It is approachable enough and you get to do plenty of exercises.
This boot camp gives a good foundation to build a data science... Read More career on.

Cons
There are few video lectures included in curriculum which can be difficult to follow, specially for a novice learner.

Wrapped up the class in 3 months. Great into to UX concepts and enough to get you going. Definitely going to look into taking their career course since I learned a lot over this 3 month period and would like to see how much more I learn. Definitely recommend... Read More for newcomers.

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... Read More 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... Read More 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.

Overall, I had a great experience with the class. The curriculum was nicely organized, and the reading materials were immensely helpful. I am very happy about the fact that I can access these materials even after completing the final capstone project.... Read More The weekly mentor meetings were also very helpful. They made me keep my commitments to get things done and gave me the opportunity to obtain constructive feedback from UX experts.

Overall the course was an awesome experience. The course contains interactive coding courses through Datacamp.com. You are given a free membership to DataCamp while you are enrolled in the course. There are also actual Harvard Computer Science lectures... Read More provided for some of the machine learning topics. Something I didn't know going in, but was a nice surprise. Then, there are mini projects and your major capstone project. The projects can be challenging at times, but that is what it takes to learn. There is also the mentor aspect, which is great. Weekly calls with an expert to keep you focused and provide assistance on projects or any other advice. The community is not as strong as they advertise, but I think this is expected as most people are very busy and aren't looking to go out of their way to help other students. If you are coming from minimal coding experience in python, it will take a lot longer than average to complete this course.