Springboard

Pros:
Nice and organized curriculum, with mini hands-on projects.
Continuous help from the mentor (real Data Scientist working in industry)
Remote and part-time. So you can maintain your present job while working on this.
Opportunity to work on two capstone projects with the help and support from your mentor.
Career coaches are there to help with your resume/LinkedIn profile, networking, and soft skills.
Mock interviews to prepare.

Cons:
No in house lectures/ they are tied up with Data camp/Khan Academy/ LinkedIn learning mostly for all lectures.
Everything is remote, so you might lose motivation sometimes, where in-person boot camps are like a real school.
Not all the mentors are equally caring and helpful.

They are one of the crooked so-called educational institutions. I took their course which ensures money back guarantee if I am unable to secure a job within a time frame. I did everything according to their guideline, and now, they are making false accusations to grab my money. I will not let this organization cheat students like this, and I will take every legal actions against them. All the good reviews on internet are simply generated by their robots. They even pay some employers, so that the employers can do fake advertisement of recruiting their students after the completion of the Springboard career-track program. This is such a deceptive and fishy institution ripping off many innocent students in North America. I would never recommend them.

A little background: I'm currently about 25% through Springboard's Data Science Career Track program. My professional background is in higher education. I recently completed a PhD in philosophy and have experience teaching undergraduate philosophy courses. I have minimal background in math beyond the high school level, but my philosophy degrees have prepared me for the sort of technical and critical thinking skills used in data science. I'm doing the Springboard program to make a career change. I completed most of Springboard's Data Science Prep Course, which I found helpful, before being accepted into the Career Track program.
Review: Overall, my experience in the Career Track program has been pretty good so far. My impression is that the quality of one's experience with the program depends largely on the quality of one's mentor. My mentor was initially pretty poor, and I had a difficult time understanding his accent. But I reached out to Springboard early in the program, and they helped reassign me to a new mentor. Thankfully, my new mentor is excellent and has dramatically improved my experience. I'm in a study group with other students, and I've gotten the impression that their mentors are so-so. I have learned a lot so far in the program, and I've been especially happy with Springboard's "customer support" (very friendly and helpful) and career support (they get you started on job stuff early on in the program). A fair portion of the data science curriculum (so far) has consisted of Datacamp exercises. Springboard partners with Datacamp, and students get free access to Datacamp courses. Honestly, I haven't been that impressed with the Datacamp courses. They are helpful for gaining superficial exposure to tools and skills used in data science, but they don't cultivate a deep understanding. I will say that the time estimates Springboard gives (completion in 6 months, working 15-20 hrs a week) are pretty unrealistic. Most of my study group (including me) is working on the course full time, and we are all on track to finish in 5 months (at the earliest), and probably more like 6 months. Unless you already have significant data science experience, don't expect to finish the program in under 5 months, and possibly even under 6 months.
Overall, given my experience so far, I would probably recommend (pretty highly) Springboard's program to people (depending on their circumstances). I'm happy to discuss my experience with people if anyone would like to know more, especially people with an academic background in the humanities. You can find me on LinkedIn and around the web if you look (e.g. philpeople.org). Feel free to reach out.

The Springboard Data Science Career Track 6-month course has taught me a lot.  The curriculum is set up very well.  You start by learning Python basics, then go into inferential statistics, machine learning, software engineering, etc.  Throughout the course there are 2 major capstones that you build from scratch.  The links to my projects are below.  I've learned so much but please do not think that you can spend 10 hours a week on the course and complete it.  I spent 3-4 hours every night during the week and some weekend days working on the course.  And I will mention that I did not do the job guarantee since I already enjoy working at my current company so you will need to add more time to do the job guarantee sections.

Overall I highly recommend the Springboard Data Science Career Track.   It is kind of pricy but they do have payment plans.  I personally did not pay for the course as my company picked up the cost but just remember that you get what you paid for.  

I can't wait to start applying my knowledge to the real-world!

Capstone 1: https://github.com/brocknosbisch/Springboard_Capstone_1
Capstone 2: https://github.com/brocknosbisch/Springboard_Capstone_2
LinkedIn: https://www.linkedin.com/in/brocknosbisch/

I enjoyed the Springboard UX Career Track program! Haven taken other UX design curriculums, Springboard’s coursework was much more up-to-date pulling a broad range of resources which I appreciated when thinking about real-world application. My mentor has become a life long mentor who was very supportive of my particular UX journey. I enjoyed that capstone and research projects which were more personalized compared to other UX programs I’ve participated in. This allowed me to stay highly engaged throughout the coursework.

Pros:
- Self-paced and flexible programming
- Optimal Resources 
- Unique project opportunities
- Responsive Staff

Cons:
- It could provide a more compelling and accurate pricing structure that reflects the average completion time for students.

The Business Analytics course was very beneficial for me to understand this career path. I like to analyze data and this course allowed me to analyze data in different ways and by using various tools. You are very fortunate if you have a motivating mentor. I almost always had technical issues with my laptop but my mentor and I were able to overcome those and we managed to still make it work. Apart from technical issues my mentor was very knowledgable and through in his analysis. I learned his excellent presentation style and wish for myself to be as eloquent as him.

My experience with Springboard was also very good. The various advisors I worked with were accomodating to my challenging situations and worked with me to help me complete my certification till the end. Overall I had a fantastic experience and if I they had more courses that interest me, I would take it in the future and also would tell my dear and near ones about Springboard.