Springboard

I said the best part as long as you have a good mentor you'll get the most out of the program since the mentors are people that work in the field so you get to have feedback from someone with real life experience. I think some subjects need more in depth... Read More information. But overall it was good

The curriculum and teacher are the strong points for this boot camp. The one on one mentoring is also very good but could use some improvement on engagement. Engagement with your cohort is severely lacking and I wish the school would do more to promote... Read More that.

The UI/UX program at Springboard is a complete offering, giving you the opportunity to learn every detail surrounding UX design and making you apply that knowledge to a variety of projects. From the simple design spruce ups to full-scale capstones, you... Read More perform every level of the design process in order to understand every aspect back to front. While there are some lessons that do go on a little long (i.e. lots of articles that simply repeat the same information) or slightly outdated articles, the essence of what you're learning remains the same. Overall, I would recommend this course to anyone who is interested in entering this space.

It was a correct decision to learn at the Data Science Career Track program at Springboard, as I finally started getting responses from employers. On one of the applications I was one step away from employment. This course helps boost your chances and... Read More compete with those who has formal specialized education, such as in computer science or data science. While a lack of formal experience through employment is still a problem, it is somewhat alleviated by the hands-on curriculum projects and the projects done after completing the course. In my feeling, completing this course gives you a credibility. There are three main components: career coaching by people experienced in technical recruiting, mentorship by data scientists working in industry, and well organized tutorial materials. In my opinion, it would be very hard for a self-learner to achieve such pace and quality of learning. Having to pay disciplines and ensures a good pace of learning. Not everyone gets a good mentor. My two advices here are: 1) change the mentor if he behaves like he is your boss and only demands, and you need to spend a lot of time just to think what questions are good and bad. This could be OK only in the beginning. 2) Stick to the one who is genuinely willing to help. Springboard allows to switch to another mentor, they have some long-term selection in place. Most career coaches are very helpful, you can meet with them roughly every week. Here my suggestion is to stay organized: write their suggestions and execute on the same day, because otherwise you will find it difficult to get back to it due to a lot of main technical learning which keeps piling up if you are not as organized. Make sure to agree with your family members: they will miss you a lot 6 to 9 months, because they will mostly see your back while you are sitting at the computer. The skills you get are worth it, but there is still a long job search ahead after graduation in most cases. Delve deeply into material, as there are four mock up interviews close to the end of the course. The best ways to prepare for Data Science course is to learn Python, Statistics, and SQL in advance, and try to craft a resume and LinkedIn profile. At the end, you learn how to extend your network, data analysis, and machine learning. Only basic familiarity with statistics and SQL, but there are many resources in the curriculum, which you can use for training, including after graduation. No exposure to cloud techniques, but you will become prepared to play with those on your own. Up to two breaks are allowed, up to 3 weeks each, which helps make it in time if you like to delve deeper or have a lack of prior experience.

Springboard's Software Engineering Career Track is built for people that want to switch their career path and become a software engineer. This 9-month course helps you develop skills (Python, JaveScript, etc.) necessary for looking for a job in the market.... Read More Definitely recommend it even though you are starting from scratch.

It was a difficult journey to manage my time on an online, 'open-ended' course (although there still are deadlines), but I learned a lot about how UX and UI Design is applied. Through the projects and group Industry Design Project, I was really able to... Read More apply all of the learnings in the course. I will say it would be nice for Springboard to add more emphasis on how to set metrics to measure in our projects early on, and possibly a unit on how to develop products that are not just user-focused, but also take into account how to incorporate business goals while creating a user-centric product. Overall, I am happy I took this course and learned lots through the process - especially because of my mentor. I learned so much because of being connected with someone in the industry who could provide direct feedback on all my works. Springboard's career coaches are quite helpful too, I learned so much about job hunting that I wasn't taught in university. I am eager to apply those techniques in my job search and am optimistic in landing a job in this field now. The Springboard support staff are quite understanding and supporting as well with any issues I ran into. They were quick to respond and help me out.

The curriculum is excellently designed and does not require any programming or computer science experience for anyone to participate. I am a biologist and absolutely did not had any experience in data science. I took the Data Science prep course first,... Read More which taught me python programming in just 4 weeks. Then I enrolled on the Data Science Career Track. The course is expected to be completed in 6-9 months, so one has to be ready to invest at least 4 hours of time every day in learning. The best thing about the course is it teaches the entire curriculum using public resources, which include DataCamp, LinkedIn, Youtube, Harvard lessons and other useful public forums. This is great because you know after the course completion where to continue your learning and find resources related to a specific subject. Every unit has a number of mini-projects to practice that increase your confidence in your learning. 1 to 1 mentor calls every week is a great benefit, as you will be interacting with an industry expert to review your projects and they will help you to streamline your learning and choose a better career path. At the end of the course, you will be proficient in python programming, mastered in essential statistical concepts and you can independently work on data science projects. I strongly recommend anyone who is looking for a career in data science to opt this course, as every minute and penny is worth plus job guaranteed.

I started Springboard with very little IT experience. They have a great program set up with many support lines. From student mentors to career coaching. They also have a platform to reach out with other students in the program. I experienced a personal... Read More hardship during the coarse. They did not hesitate to help me with pausing and pushing to complete after my break. I cannot say enough about this school.

From the start, Springboard moves you along quickly. Onboarding went smoothly. They match you with a great Mentor and you meet for 30 mins each week. You talk about curriculum and all things that may or may not even be quantifiable. I felt immediately... Read More comfortable. Although I am certain I asked some dumb questions, no one on the Springboard staff ever made me feel like it did. They were consistently positive and encouraging. Would recommend it to a friend. In fact, I have several times!

Pros: - Good support and admin team always willing to help you out - Good experience with mentors who work in the industry, as well as a good experience with career coaches who are also in the business of recruiting people - You go through mock interviews... Read More at the end of the course - There's an industry design project as part of the course, which gives you the opportunity to work with a real-life client Cons: - Mentors are not always available in a timely manner - Talking about career strategies too early in the program