Data Science Career Track Prep

I fully enjoyed this course. The carefully curated content really accelerated my progress in the field of data science. Not only did I learn new concepts, but I also improved my coding skills significantly.One standout feature of Springboard was the personalized mentorship. This one-on-one support kept me motivated and encouraged me to strive for continuous improvement.Overall, if you're seeking to improve your coding skills and leverage your expertise for a lucrative career, I highly recommend considering Springboard. 

While I definitely have a lot to learn to become a data scientist, I feel like this prep course does a good job at introducing you to the field as well as preparing you for bigger and better things.  I think this is a great first step for anyone considering a career in Data Science without  a relevant background. A) The prep course is affordable. B) It prepares you for their career track test. and C) Should you choose to do their DS career track course, you'll be able to apply the cost of this program towards that tuition.

Coming from a healthcare background this course was a great introduction to python. I was expecting some video tutorials however there were none, besides some random youtube videos related to the chapter. The mentor is a nice part of this course but even for beginners I don't think you really need a mentor and pay that price.  I paid around $500 which is not worth the price and ended up getting data camp subscription which is structured way better with videos and more interactive exercises. Also much cheaper than this prep program. Goodluck

I enjoyed the prep course. However, I think there were some aspects of the course that can definitely be approved. I often times felt like my questions weren't answered when it came to the actual skills test being taken. I was just told to try again. Nonetheless, I enjoyed the course. Overall it was organized very well.

Amazing opportunity and well-organized material to learn more about data science. highly recommended 

I'm a new grad exploring possible opportunities in tech. I initially wanted to learn data science because coding has always been something I wanted to learn. It's a lot like trying to solve a rubix cube, but I could just never understand the cube. I approached Springboard like any other bootcamp. This is my 3rd program in learning data science in python. First off, I love how timely everything was, organized, from the outreach and communication. Wonderful. The course was very easy to navigate. You'll find no issues here because almost everything is there for you. Just commit! Be ready to challenge your mind! Have fun with coding! Sure wish we weren't in a pandemic, would've loved to visit the office and meet the other cohort members.

Great introduction to Data Science

Was a good prep course, just a quick taste of data science. Was a little light on code and too heavy on basic statistics. Would have prefered more statistical concepts and less math forumlas. 

The program content was standard, it's meant to make students more comfortable in searching for answers by themselves. I believe what you are truly paying for is its mentorship program, which is awesome! My mentor taught me how the real world actually focus on for skills, how a data science team uses agile methodology, what his typical day in work is like, and a lot of real world examples to expand my horizon on data science while keeping me accountable in this study journey.

This was a great prep course for a beginner with an intro level of prior experience. The material is vast but specific to the career track. It focuses more on practical application of skills within the business environment. 

I am a career changer going from healthcare/medicine into data science and the information sector. I completed Springboard's Data Science Prep Course in anticipation of continuing on with their main Data Science Career Track. Coming from a place of limited coding experience, the Prep Course was definitely a great way to get my hands dirty in some of the technical aspects of coding and what the role of a data scientist may be. There are small projects sprinkled throughout to help build your understanding and comfort with the content. Some of the resources are a bit irrelevant in their applicability to real world problem solving, and are not easily translated to a professional setting. However, this is fine overall because their main goal is to get you prepped for their 6-month career track.The best part about this experience is definitely the mentorship. My mentor was incredibly helpful throughout my 4 weeks in the course. He was always engaged during our weekly meetings, and was very open to offering me advice outside of that time via fast email response. The mentorship is by far the highlight of the course, and got me excited to continue on with the Career Track.Overall, I'd recommend this course to anyone with a limited coding background considering doing a bootcamp, as it gives you those basic tools to pass the technical skills assessment and gives you the confidence to endure a 6 month bootcamp. The course is affordable and your tuition gets applied as a credit towards the already-affordable price of the full Springboard Career Tracks.

The program was very beneficial. It allowed me to see various aspects within the world of Data Science. The course offered a little bit of everything to at least get me familiar with what I may see once I am able to dive into my career. Considering there are many avenues to pursue from a career prescriptive, myself (or someone ) will probably need to find outside resources to dive deeper depending on what they'd like to fully immerse themselves in.  Coming out of the program, I feel that I have a strong understanding of Python, SQL, as well as machine learning techniques. The main wealth of knowledge came from working on my 2 capstone projects. It was within these 2 projects that I was able to use information learned from the coursework as well as learn to properly research other techniques and/or look for deeper learning. All the while, I was able to work with my mentor as I made mistakes and more importantly learned from them. A suggestion I would have for future students of the program is to work with a networking coach early on in the process. I spoke with a mentor on a weekly basis but I somewhat slacked on the network side of things as I feared I wasn't ready to "talk the talk". Looking back on it, I should have bunch more effort into this aspect, earlier on instead of leaving a majority of it to the end. The networking coaching if very beneficial to help prepare for life after the course. They offer very good networking tips. I truly enjoyed my experience!

The course material was to the point and easy to understand. I learned at an amazing pace, and took some extra time with the material I was having difficulty with, but still stayed head of schedule.

Joined the data science career track prep program in May 2020, and I'm currently in the full data science career track program. There are a lot of good things to say about the program.  The Next.tech platform was really useful and helped me a lot through the program. The final portfolio project really helped me get a taste of what a Data Scientist does on a day to day basis. If you complete the technical  skills survey you'll have a good idea if you have what it takes to enroll in the full course.  What Springboard really gets right is the structure of the program and the quality of their mentors and community. Best of all, the prep program is free if you end up going into the full data science career track program.

I attended the fully online intro to data science course. While I did not finish the course, I found it very enlightening and insightful for a data analyst and data scientist career. The mentor I was paired with was very friendly and helpful, and was in approximately my same time zone. 

Join the data science career track prep program in February 2020, and I'm currently in the full data science career track program. There are a lot of good things to say about the program. The most beneficial aspect is that you meet with a mentor six times over the course of the program. This turned out to be essential for me, because he not only corrected my code, but he corrected my way of thinking, which improved my work exponentially. He also introduced me to other resources that would dramatically improve my coding abilities, and every week he pushed me to think a little harder and do a little better. It's worth noting that the curriculum is curated, and so you could theoretically complete the equivalent program by paying a small subscription fee on Next.tech's site. But what Springwood really gets right is the structure of the program and the quality of their mentors and community. Best of all, the prep program is free if you end up going into the full data science career track program (they reimburse you 10 days in). A couple small notes: Next.Tech didn't quite give me enough practice with the individual coding exercises, but that was just me -- I think if I approached it a little less mechanically, it might have been enough.Highly recommend!