Data Science Career Track Reviews

The curriculum is well done, and the Capstones allow for the student to really explore and get used to creating a data science project. I had a good mentor who was able to help me with the technical work and some of the logistics. The lack of required group work makes the course feel isolating and its hard to get a sense of how good you are relative to people in the same position since the only point of contact is a mentor who is established in the field.

I just submitted to complete my course and am really happy with my experience. The mentor relationship is what sold me on using Springboard and was very helpful to learn, keep making progress, and get great ideas for future learning. There are aspects of the curriculum that could be improved, I like to take my time with things, but felt pressed for time on some of the more complex projects. But overall I feel like this has prepared me to launch a career in data. The price could be a barrier for people, but there are options for the guarantee. And the community built around the course is amazing. So it was well worth it for me. 

Springboard has been an enriching learning experience, with strong mentorship and a project-focused curriculum. Addressing the suggested improvements would make the program even more effective in preparing learners for successful careers in data science. The mentorship provided during my program was exceptional. My mentor was knowledgeable, approachable, and always willing to offer valuable guidance and feedback on my projects. Springboard's learning platform was user-friendly and interactive. The well-structured curriculum, assignments, and hands-on exercises made it easy to grasp complex concepts. I appreciated the emphasis on hands-on projects, especially 2-detailed capstone projects, as it allowed me to apply the concepts I learned to real-world scenarios. This practical experience was invaluable in strengthening my skills. The community aspect of Springboard was beneficial. Interacting with fellow learners and exchanging ideas in forums enhanced my understanding and provided a supportive learning environment. Overall, Springboard's Data Science career track program exceeded my expectations and I highly recommend this program to anyone looking for a career change or to enhance their skill set and to make a career in the field of data science.

I recently completed the Data Science Career Track at Springboard, and it was an incredible experience. Throughout the course, I gained a vast amount of knowledge and practical skills in the field of data science. The curriculum was comprehensive, covering various essential topics and techniques.One aspect that stood out was the opportunity to work on two capstone projects. These projects were invaluable as they allowed me to apply my newfound knowledge to real-world scenarios. The guidance and feedback provided by the mentors during the project development were instrumental in my success.I greatly appreciated the extensive support offered by Springboard. Not only did they provide mentorship for the technical aspects of data science, but they also had a dedicated mentor for my job search. This personalized guidance helped me navigate the job market and prepare for interviews, giving me a competitive edge.The mentors at Springboard were exceptional, offering expertise, guidance, and encouragement throughout the course. They were readily available to address any questions or concerns, fostering a supportive learning environment.Overall, the Data Science Career Track at Springboard exceeded my expectations. I acquired valuable skills, completed meaningful projects, and received outstanding support from mentors. I highly recommend this program to anyone looking to embark on a successful journey in the field of data science.

As a postdoc looking to transition from academia to industry, I came across Springboard's data science program and decided to give it a try. I was impressed with the program's career training, which not only taught me data science but also prepared me for a career in the field. The program provided me with the necessary tools to build a portfolio of projects, practice mock interviews, and get my resume reviewed, all of which helped me secure a job offer within a few months of completing the program. The program's curriculum is comprehensive and well-structured, covering topics such as data analysis, machine learning, statistical inference, and data visualization. The self-paced nature of the program allowed me to work at my own pace and take as much time as I needed to understand the material fully, and having a mentor to guide me throughout the program was incredibly beneficial. Overall, I highly recommend Springboard's data science program for postdocs looking to transition from academia to industry.

This program is great - comprehensive, thorough, logical, and well-designed. If you are able to be self-motivated and manage your own milestones/progress/education, you can gain a ton. They will definitely not be micromanaging you at any point, so it's something to be aware of if you work better with more oversight. I found that support and guidance was available when needed, but that ultimately I had to answer most of my own questions for myself (which is a good learning experience, in the end!). I feel ready to do well in a data scientist role.

The curriculum: They have a solid program and excellent resources with which you can code and try your own models on real datasets. Moreover, In Springboard they know that you need to have some practical experience apart from the theoretical background you gain through different readings, videos, and books. The practical training you receive is invaluable: The projects and case studies make you see that Data Science is not only about coding and creating models to analyze data. Yoy have to understand the stakeholders needs and the true company's problems. In Springboard you are also trained to analyze a company's situation in order to offer the best solution. Networking coaching: The Data Science Track is not all about Data Science, networking will also allow you to know people that will enrich your career. Coaches in Springboard will help you, and give you the best tips for you to take advantage of everything the Data Science Community has to offer.Academic Excellence and the instructors: When it comes to Data Science, I believe you can learn whatever you want from Springboard's instructors. They experience and knowledge is an invaluable resource. It is important not to miss the chance to listen about their experiences and the jobs they have had in the field.

The course definitely has a great introduction to Data Science. It starts off strong with showing you how to utilize python and it’s libraries. I enjoyed going over all the tools used for data analysis and prediction. You can definitely expect to improve your python skills when going over each project and capstone. My mentor was a great and knowledgeable person and I really valued the feedback he provided. It was a great experience learning at springboard.

I enrolled in the Springboard Data Science Career track in May 2022 and achieved my certificate in Dec 2022. It was a great journey to realize my goal of becoming a data scientist. Intensive courses, numerous hands-on exercises, and mini-projects, along with two personal capstone projects, assist me in mastering skills of Python, Statistics, SQL, Machine Learning and the full life cycle of data science projects. During my study, I work with an industry mentor with practical data experience who supports my learning tremendously. We met regularly and emailed once I had a question. My career coach is also helpful in cheering me up, setting goals, and teaching me to interview and resume tips. I always learned new things from her each time we met.Last but not least, I grow my network gradually during my study. I had informational interviews and enthusiastic support from current students and alumni. I believe I am on the right track to landing a dream job. 

Springboard focuses on the application of the tools required for a career in Data Science and Machine Learning. This was best exemplified by two capstones developed independently by myself with the guidance of an experienced mentor. While the coding skill development could be more challenging, Springboard gives its students the ability to supplement their skills by providing a variety of resources. 

Springboard provides an excellent opportunity to grow my career at my own pace.Springboard is a great option to expedite growth in all areas of data science education and job search. The mentorship and career coaching is perfect for getting one-on-one help throughout the course and meeting specific needs. The case studies are informative and the capstone projects allow working in an area that is of personal interest. Keep in mind, this course is fully online and is work at your own pace; be prepared and determined to set and stick to your schedule.

I already had a job as a Data Scientist so I did not concern myself with the job guarantee. My motivation was to learn Python (I’m an R user) and get guidance from a mentor (I mostly work alone) to become an overall better data scientistI understand you can find/learn the material on your own, but Springboard has it all organized and laid out cleanly here. I always knew I could learn Python but I couldn’t figure out the best way to do it. The combination of the guided capstones and the Datacamp exercises gave me the framework to fly on my own. I also love how the course is more than just building models. It goes over the entire data science process, career help, and mentorship. I feel that I am much more well-rounded as a data scientist.My only issue was with the mentorship. I actually did the preliminary data science course and had a great mentor I really connected with on a personal level. Someone I would get a drink with. Though my mentor this course was knowledgeable and helped me enough, the relationship felt minimal and transactional. I regret not being more adamant in changing mentors because apparently it’s an easy process. The last thing I’ll mention is that this course is an investment. Both in terms of money and time. It cost a lot and I had spent most of my personal time working on it (I definitely rushed it a bit). I would suggest it unless you are VERY serious about becoming a data scientist or improving as one. It’s a premium product that for me at least was worth it.

With this course  learned what Data Science is all about. Before taking it, I enrolled and completed around 15 MOOCs and always felt confused on how to start applying my gained knowledge. With Springboard, I was able to join all the dots together and mastered top notch technologies and methodologies for that. Great technologies used for Data Science, absolutely emailing mentorship from industry experts while doing the capstone projects, incredible career coaches during the job hunt and a very welcoming, warm and helpful community. There are some missing topics in the curriculum that would have been nice to have like more SQL practice and DB administration, introduction to NoSQL, cloud computing and software engineering concept for model deployment. So, a huge recommendation would be to make this a yearly program and trying to include those topics as well.