Data Science Career Track

I had a good experience with the curriculum content, which offers a variety of resource types and levels. There are also optional materials that enhance the learning experience. At times, the pace of the curriculum can feel a bit fast, especially if you're balancing work or studies, but there are options like pausing the course or getting a free extension after completing a certain percentage of the content. Overall, it was a positive experience, with the technical support and mentor calls being some of the most valuable aspects.

This was a great way for me to continue my learning for my career while still allowing me flexibility for my job and family. The mentor was great to stay on track as well as answering my questions or concerns in a judge free way. The multiple tools and applications used made it really easy to learn the material. They also set me up for continued growth in the future.

I had an excellent experience with Springboard's Data Science course. The curriculum was well-structured, providing a strong foundation in data science concepts and tools, while also focusing on practical, hands-on projects that allowed me to apply what I learned. The mentorship program was a highlight – my mentor was knowledgeable, supportive, and always gave helpful feedback, which made a huge difference in my learning journey.The career support was another strong point, helping me refine my resume, prepare for interviews, and navigate the job search process with confidence. I felt well-prepared for the real world by the time I finished the course.

I had a great experience with Springboard’s Data Science Career Track. The curriculum was very well-structured, with a good mix of theory and hands-on projects that helped me understand real-world problems.What I liked the most was the personalized mentorship. My mentor gave me very helpful feedback and career advice that made a big difference for me. The career services also helped me improve my resume and get ready for interviews.I recommend Springboard to anyone who wants to start a career in data science.

I enrolled in Springboard's bootcamp with no prior experience, seeking a structured course and mentorship to kickstart my journey. The program exceeded my expectations in several ways. One of the standout features was the opportunity to work on two distinct projects, including a real-world client project that allowed me to collaborate with a team and build my portfolio. The weekly mentor calls were invaluable, providing me with actionable feedback and insights that I wouldn't have gained through self-study. My mentor's guidance was instrumental in my growth, and I appreciated the support and expertise they brought to our calls.

Springboard is a very comprehensive education program. all the staff are very comprehensive. The career coach and advisor are very talent and professional. you can get free access to Datacamp where you can learn much as many courses  as you want. Definite recommend.

I recently completed the Springboard Data Science Career Track, and overall, I am very satisfied with the experience. The curriculum is comprehensive and well-structured, covering essential topics such as Python, statistics, machine learning, and data visualization. The inclusion of real-world projects was particularly beneficial, as it allowed me to apply theoretical knowledge to practical scenarios, which is crucial for building a strong portfolio.The one-on-one mentorship is a highlight of the Springboard experience. My mentor was not only experienced but supportive. Regular weekly check-ins provided personalized guidance, constructive feedback, and accountability.Springboard’s career coaching is another standout feature. The career services team provides extensive support, including resume reviews, LinkedIn optimization, and personalized job search strategies. The one-on-one career coaching sessions were particularly helpful, offering tailored advice on how to navigate the job market and prepare for interviews. The community aspect is strong, with active Slack channels. Whenever I encountered issues, the support team was responsive and helpful. However, sometimes the response times were longer than expected, which could be frustrating when working on time-sensitive projects. The program’s flexible schedule is a major plus for those who are working or have other commitments. Being able to learn at my own pace was crucial for me. However, this self-paced nature requires a high degree of self-discipline to stay on track.Springboard is an investment, but considering the quality of education, mentorship, and career support, I found it to be worth the price. There are also financing options available, which can make the cost more manageable. Overall, Springboard’s Data Science Career Track provides a well-rounded education with solid support systems in place. The hands-on projects, personalized mentorship, and dedicated career coaching make it a great choice for those serious about pivoting into a data science career. While there are areas for improvement, particularly in response times and mentorship consistency, the strengths of the program far outweigh the negatives. I highly recommend this program to anyone looking to break into the field of data science.

Pros: overall is fine. Cons:Would be better if NLP would be as an important topic, not optional. A had Vishal Ratra instructor  who took a coding mock test, in my opinion, he was not a professional, as he did not want to answer to his own question, when I asked him. I believe, if you ask a question, you need to answer and show how to solve it if a person whom you ask doesn't know the answer or needs some guidance to answer it.

Had a great experience and learned a lot from the experienced mentors available. I was able to complete the work on my own after going through all the modules and becoming more confident in real world work! 

The overall experience at Springboard Data Science Career Track is good, especially the curriculum content and the 1:1 mentor directions. The curriculum content difficulty ranges from easy to difficult and it is very good for practice and sharpen your skills, even for me who have already learned python and data science by myself for almost two years. About my mentor, for my questions, he always ask me to try my own ideas and see the result, not just tell me to do this or not do that blablabla. My mentor likes to ask me questions to deepen my understanding and then explain, which is helpful for my learning. The most important drawbacks of the camp is its career support, it doesnot provide any internship with the partner or any internal referal, especially for me who want to change the career focus.

Pros+Excellent mentor feedback+Clear projects+Helpful structure and balance between academic knowledge, programming, statistics, and hands-on and hands-off guidance+Solid exposure via DataCamp to Python, SQL, Stats+Career support and LinkedIn advice Cons+None 

I took the course and spent countless hours after trying to get a job and it did not help. I followed every detail and every recommendation they gave, and it was mostly a waste of my time. The mentors and career service staff will show up to your meeting 5-15 minutes later IF they show up, and will rush you providing no details. After my job search period, I reached back for the job guarantee, and when I provided all the info they asked for, they stopped responding to my emails for over a month. Extremely frustrating experience. Not worth the money

I'd like to share my experience with Springboard's Data Science boot camp. It was truly an unforgettable journey. While most of the learning material is readily available online, like on YouTube or DataCamp, what set Springboard apart was its structured program and well-designed projects. Additionally, having a mentor who offered valuable guidance and support throughout the course made a significant difference in my learning journey

Very helpful. Curriculum goes heavily through all details that one might see when working in a Data Science role. The resources available are very vast especially being able to contact a technical mentor or a career coach at a rate of once every 1-2 weeks minimum.

I believe there's always room for improvement as with everything in life. However, Springboard offers a pretty good overall experience, with great support for students and mentor experience. 

1 on 1 mentorship program is great for all the support  you can need along with community slack channels to help. Pacing for the course is great and there are many resources to help when confused.

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. 

Sringboard coursework is pretty good. It is geered heavily towards individual projects and in my opinion that's the best way to learn. I also do believe it is helpful for improving job-worthiness.

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.