Springboard

Springboard has been a great experience. I had taken the Intro to Data Science before taking the Business Analytics course, so it was a good enough experience to make me a return customer. The BA course was much easier, primarily Excel for data manipulation, small amount of Tableau (but if you have previous experience with Tableau you can utilize it throughout the course), and introductory level SQL , all spread through a handful of interesting case studies. . I would definitely recommend this course. The mentorship with Springboard is top-notch. 

I have an environmental engineering background and spent 6 months on the data science career track via springboard hoping to step into the data science career. It's definitely challenging and intense when you have a full time job at the same time. If you do not have the time, energy or persistence, I suggest you get yourself both mentally and physically prepared, if you have a full time job. The course program is good overall, not perfect. But the same goes for all other data science boot camps, as they are a relatively new field and still growing. The mentorship offered by springboard is definitely a highlight of the program and I had a great experience with my mentor. I got a couple of data scientist offers right before I finished the program and the outcome is extremely rewarding. If you are fully prepared, dedicated, and eager to learn and constantly challenging yourself (the learning does not stop through out your career), then I highly recommend this program to you. And best luck!

I'd been wanting to learn data science for years, and finally managed to do so thanks to Springboard. In a past life, I was both a web analyst for an e-tailer and a management consultant with a top firm, and had always wanted to get more sophisticated in my modelling work. I was also very keen to hone my skills in machine learning, and be able to build great predictive models. Fast forward a few months with Springboard and I've achieved all of these objectives. The mentorship was stellar, the project work excellent, and the student support top-notch. I can't recommend Springboard enough -- if you truly want to build your data science muscle, don't go to a cheap online library or an expensive in-person bootcamp. Go with Springboard.

Springboard helped me ultimately transition from a career in academia to one where I applied my knowledge of research and the scientific method to industry problems in data science. My weekly mentor calls helped me contextualize my online training (which I could do completely on my own, about 10-12 hours each week on my own time) and also helped me understand how best to market my projects to appeal when I applied for jobs. While some can afford to quit their jobs and attend trainings like this full-time, Springboard allowed me to continue to support myself while gaining the training I needed to re-tailor my resume for a data science career.

I'd say the best parts of the Digital Marketing Career Track were the direct experience running Facebook Ads and Google Ads campaigns. You get hands-on experience using $100 budgets and up to $10,000 if you participate in the Google Marketing Challenge where you work with a real non-profit which is invaluable. In addition, you can talk to your mentor each week and they'll help answer any questions you have regarding these projects. I also appreciated the career  services, especially since you have access to the career coaches for 6 months after you complete the course to help you find your perfect job. 

This program has many great resources to help you advance your skills as well as a curriculum that keeps you focused and scheduled in completing your work. There is a community of people looking to help you including career coaches, weekly mentor calls, which I used to discuss the projects I was working on as well as specific questions about coding. And an online forum of students asking questions pertaining to the same types of projects you are working on. The main focus of the course is completing two main capstone projects which are geared towards building your portfolio and are exemplary of work one may do in a data science career. While there are many smaller mini projects included in the course that are also good practice to improving python and sql skills, there could be created content designed for learning the code and applications needed in these types of assignments. A significant portion of the curriculum was just courses on DataCamp and video lectures, while informative, are not particularly useful in grasping the concepts needed. For an expensive course, I was expecting more specialized resources focused on learning the skills needed, rather than just projects that force you to know the material and go out and use it, which is difficult at first and slowed my progress throughout the beginning of the course. I viewed this as being both a good and bad thing, because although I began working on these projects without all the necessary knowledge and skills, it forced me to pick them up as I went along.

Pros:
- dedicated mentor
- can schedule calls with random mentors for problems your having with very open times to choose (super helpful)
- access to datacamp and linkedinlearning (my favorite platform to learn data is from datacamp personally)
- Excellent administrative team
- Excellent career support team with advice well in line with reality, always super friendly
- Show you how to network properly
- Annual springboard rise event
- Involved student community

Cons: 
- too much use of videos and not enough use of reading for many of the subjects. Many of the topics could have been better explained from a book or article than watching many of the webinars from Harvard or pycon in my opinion. Those videos were often very lengthy and hard to follow along with and I found myself skimming through them. They didnt have decent background information before the these videos that would delve into complex subjects sometimes. This is my biggest complaint to be honest. 
- Some of the assignments needed better instructions such as the databricks miniproject. I know trying to figure something out yourself is the best way to learn but when you dont have the 
preknowledge on something so new to you it could be frustrating

Summary:
Springboard was exactly what I needed as someone coming from a background in business and who had next to zero technical skills such as coding. I landed a role as a  contingent worker  at Facebook as a business data analyst. Without a masters degree or more extensive work experience in tech working with data, i still havent been well suited for a data scientist position, so I'm supplementing this with starting a masters degree program in data scientist, but I believe if you already have a masters in any field and or have remotely relevant experience working with data, a masters degree wont be needed to land a data scientist position like I think is needed for me. Springboard is overall an excellent program to learn.