NYC Data Science Academy

I took this bootcamp mainly due to a referral from a friend and colleague from work. I had a background in working with R but had never really worked with python or ML. My schooling is in Engineering and have been exposed a bit to ML and programming,... Read More but have neve really delved deep into it. The Good: I though the availability of the TA’s and their responses were amazing. You essentially have infinite time you can schedule with them and their responses re always great. If you asked a question they didn’t have an immediate response to, they would even go back do research and follow up through email and personally cater to your questions, it was great! The best parts of the course were the python and R modules, they do a great job at explaining these and help you get started right away. The advanced modules on ML were hit and miss and found that I definitely needed to re-inforce after with more studying. The career guidance and the career network is amazing, at the time of writing I have not yet been actively pursuing a job (just graduated), but am already finding a ton of support. The guidance you can get from Vivian (the bootcamp founder) is great, she’s always actively trying to get you the best offers and career guidance and you can notice that she really wants her students to succeed. The projects are well structured, and I really loved them. They are designed to make you progressively get into designing a full blown ML project and though they were great. The Bad: Many of the office hours, live lectures and additional support are only offered from 9-5, even for the part-time online version of the bootcamp, this makes it difficult for working professionals to actually benefit from this. It would be nice if some of these were offered after 5pm so that we could attend. As you get more advanced and specialized, not all the TA’s can really help you, for example I had questions about CNN’s and LLM’s that the TA’s couldn’t really help with until they hired an expert (sometime later) that really knew the topics. The help on all the basic programming stuff is great though. I thought the SQL and Git modules were a bit lackluster and need more development, however, I also didn’t take the Data Engineering part (I decided to take the data science curriculum), so perhaps they’re better explained in the Data Engineering part and are only supposed to be a gentle intro for the Data Science curriculum. Some TA’s give better lectures than others, at the time I took the course the best and most comprehensive lectures (especially for the math heavy bits) I thought were given by Luke. The other TA’s did not give great lectures and found were difficult to follow. This mostly applies only to the advanced ML lectures were the math really played a big role. For the basic programming parts, all of the lectures were great, as a matter of fact I found Alex to be a great lecturer for these parts. Overall: I found this experience great, for me it was much better than just taking a course online from coursera or other platforms since here you actually have deadlines and classmates that you can interact with and they help keep you honest and push you towards actually finishing. That part was important to me as a working professional since I always found it hard to motivate myself to actively separate some time to studying ML on my own, but this course gave me all the correct motivation in all the best ways. If you’re looking for a smooth introduction to ML and can’t find the motivation to go it on your own, this bootcamp is the best. I will definitely need to study more after graduating to snag a job, but that comes with any bootcamp, and the post graduation services here are great as well.

I completed the online Data Science Bootcamp in 2021. I had been thinking about enrolling in a DS bootcamp for years, and although the price was steep, I read many positive reviews on NYCDSA and it was recommended to me by colleagues. I decided to put... Read More my life on pause for a few months and dove both feet forward in the full-time program looking to invest in myself and my future. Coming from a non-DS, non-programming background, one of the primary reasons I enrolled in an interactive bootcamp would be the structure and support working with peers and instructors. I quickly found this to not be the case. For the online program, the curriculum is entirely self-paced, online self-study. There are check-ins and office hours with instructors and mentors, but support is always passive, never active. The student must always take the prerogative 100% of the time to take ownership of their own learning progress and know their own deficiencies and weaknesses. This can work for certain extremely Type A, self-motivated individuals, but gets tiresome for anyone. Especially if you don't have a DS/programming background, you don't know what you don't know yet. There is never any feedback on code or any type of code review, and I found myself struggling to self-learn code and never knowing if I was implementing it efficiently. The program assumes a baseline knowledge of programming and it can feel like trying to run before knowing how to walk. At first, I had been extremely motivated and took advantage of all available learning resources, meeting with instructors and mentors regularly. But after weeks and weeks of self-studying challenging material, it becomes tiresome without real accountability. If I had suddenly decided to quit the program, nobody would have noticed. There is nothing about the program to hold you accountable, and it becomes little different than self-studying an online program like Coursera while costing tens of thousands more. The program sets you up with a cohort of peers early on, but other students either drop off slowly and/or progress through the material at different paces, and soon you feel like you're just studying by yourself. In terms of the quality of curriculum and instructors: the instructors themselves are second-to-none. You learn a lot from the live learning sessions and office hours as long as you can proactively utilize the available resources. The curriculum itself is good but has some holes. There is a heavy emphasis on machine learning - so much that you repetitively learn it twice, once in R and once in Python. There is less focus on key skills like Docker, Git, SQL, data visualization, data engineering etc. I have since been able to land several data jobs in my industry, and have done most of my continued learning while on the job. Only through actual work experience have I been able to reflect on things I wish I focused on more in the bootcamp. The positive is that you have lifetime access to the learning materials, so that you can always go back and review at anytime. Overall, I realized that most of these reviews are geared towards the in-person version of the bootcamp, and it felt like most of NYCDSA's support is biased towards its on-premise students. Maybe the in-person experience is entirely different, but the online experience felt isolating, even second-class, and I would recommend self-study elsewhere instead.

The 12-week Data Science bootcamp at NYCDSA was an incredible learning experience. The program provided an extensive and comprehensive curriculum that covered a wide range of data science topics, from data manipulation and analysis to machine learning... Read More and deep learning. What made it truly exceptional was the combination of expert instructors and hands-on projects. The instructors were knowledgeable and passionate, always ready to clarify doubts and provide valuable insights. The real-world projects allowed us to apply what we learned, reinforcing our understanding and building a strong portfolio. Furthermore, the academy's commitment to providing career support was remarkable. They offered guidance on job interviews, resume building, and networking opportunities, which greatly enhanced our chances of landing data science roles in New York City. Overall, my experience at NYCDSA was transformative. It not only equipped me with the necessary skills but also gave me the confidence to pursue a career in data science. I highly recommend this bootcamp to anyone looking to excel in the field of data science.

Biggest pro is the community which is very strong and the support you get from them in tbe job search is the best. Another pro would be the teaching staff who are very knowledgable of they are teaching. I could not think of a con as of this moment as... Read More my time in the program was very good

I strongly recommend anyone who wants join the industry take the Data Science Bootcamp at NYC Data Science Academy. You will get not only industry level knowledge and training but also exceptional support to land a great job. I have advanced background... Read More in quantitative fields and needed to acquire skills and experience needed to be a Data Scientist / Machine Learning Engineer. At NYC Data Science Academy, You during the course already understand how quickly your skills and confidence change and feel you are ready to do a great job at any company that hires you. I myself after graduation joined a consulting company and landed a six figure job. Another great part of NYC Data Science Academy is that they always keep up to new skills and trends in the industry and make the program extremely relevant and up to date. I strongly recommend anyone who wants to join the industry take the Bootcamp in Data Science at NYC Data Science Academy. You will acquire strong and relevant industry skills, make great friends among smartest people, and after graduation join alumni that is extremely helpful and supportive.

After searching for a data science / machine learning program, I am truly happy I chose NYC Data Science Academy. I gained incredible technical skills with R, Python, and SQL over the bootcamp. Although the upfront software setup was overwhelming, there... Read More is so much material that it is important to take a break and return to it. Many mentors were available that help share their industry's best practices. The flexibility to choose 3 out of 4 projects helped motivate me to learn, research, and improve my efforts. Having completed the data science/machine learning bootcamp, it's great to see that there are smaller courses for additional topics such as generative AI. Financing is available. Mentors are experienced and patient. Strong post-graduation support and additional courses. Initial courseload can seem overwhelming, but just stick through it and it'll all fall into place!

I recently completed the part-time Data Science Bootcamp offered by New York City Data Science Academy, and I must say it was an exceptional experience. Before enrolling, I conducted extensive online research and compared it with other data science boot... Read More camps, and I am confident that I made the right choice. The boot camp provided a comprehensive curriculum that covered all the essential aspects of data science. Over the course of 6 months, I gained hands-on experience with Python, R, SQL, and machine learning techniques. The instructors were knowledgeable and experienced, guiding us through beginner and intermediate levels of data science concepts and tools. One of the highlights of the boot camp was the emphasis on real-world projects. Alongside the intensive lectures, we worked on multiple projects that allowed us to apply our knowledge and develop practical skills. These projects were showcased to employers through various channels, including on-campus hiring partner events, student blogs, meetups, and presentations. This exposure helped me gain confidence in my abilities and showcase my work to potential employers. In addition to the excellent educational experience, the academy also provided great post-graduation support. The career assistance offered mock coding challenges, resume and LinkedIn profile reviews, and one-on-one interview reviews. Moreover, they organized hiring and networking events and provided access to a vast alumni network and industry connections. These resources greatly facilitated my transition into the data science industry. Overall, I highly recommend the Data Science Bootcamp by New York City Data Science Academy to anyone looking to jumpstart their career in data science. The comprehensive curriculum, hands-on experience, and strong post-graduation support make it an exceptional choice among data science boot camps. My personal success in securing a job as a Data Scientist is a testament to the quality and effectiveness of this program.

If you're looking for a fast-track to becoming a competitive data scientist, NYC Data Science Academy is the place to be. Their 12-week data science bootcamp offers a well-rounded curriculum taught in a systematic and intensive manner, covering everything... Read More from Python and R to statistics and machine learning. The program is designed to equip students with real-world data science skills that will enable them to make a huge impact in any company they work for. I had the opportunity to work on industry-level data challenges, which allowed me to build my portfolio and enhance my job readiness. What sets NYC Data Science Academy apart from other data science programs is their networking opportunities, which allow students to meet with top-company recruiters and hiring managers.. In short, NYC Data Science Academy is worth every penny. Their program is selective, with most students holding advanced degrees before the camp, making for a strong and talented team that will support you throughout your data science journey. The professionalism, diligence, and confidence of the instructors in empowering students to become top data scientists in the job market are truly remarkable.

I took the online Data Science Bootcamp during the Fall Cohort of 2020. You start with a R and Python best-practices course, then move-on to Machine-Learning in R and Python. You will do three different projects, including a Capstone that provides opportunity... Read More to work with industry partners of the academy. Overall: The instructors were experts in the field. Questions were addressed very well and the instructors had an obvious passion for the field and educating the next-generation of professionals. Curriculum: I would NOT consider this curriculum to be distilled. It is DENSE. Machine learning is a very technical mathematical field and the curriculum provides theory deep-dives. The reality is that you will not really retain or master most of it. However, you are able to access lecture videos/materials through your student portal beyond graduation. For this, the burden is on the student to dive-deeper into the theory to understand the caveats and rigorous esoteric theory behind the black-box models. Job Support: A post-bootcamp study plan is provided, that includes coding challenges, case-studies, and more advantageous programming topics like time-complexity analysis. There are also weekly optional check-ins provided for alumni, where there are occasional guests that come to present coding-challenge approaches or company highlights. You also have a number of "Mentor one-on-ones" that you can utilize post-graduation. The quality of instruction, mentor support, and networking opportunities make this a worthy investment. I am very satisfied with my choice.

I recently completed the in person Data Science Bootcamp with M/L. I chose NYCDSA as they were the only accredited program offering in-person classes at the time and teach Python, R, and SQL. I thought the quality of content and instruction were thorough... Read More and rigorous, incorporating first principles / math foundations behind the core concepts (their main instructor was excellent). There was a new lecture and a homework assignment nearly everyday. Some aspects of it were a little disorganized but I attribute this to the fast pace of the program. I came from a Biochemistry background and felt the program was challenging - expect to consistently put in additional hours after classes to keep up and after graduation to secure a job offer. Four months after graduation, I received two job offers, one of them from the school's network of hiring partners that was willing to sponsor a temporary work visa. I had prior data analytics experience, but no direct data science experience, so it is possible to secure a data science role after graduation. Overall I think the Data Science + ML program was well worth the investment. It helped me launch a new career path and was an experience that facilitated professional, intellectual, and personal growth. Classmates were also awesome so that was a bonus! If you have been contemplating enrolling in a data science bootcamp, are wanting to make a career switch, and are ready to put in the work, I highly recommend NYCDSA.