12-Weeks In-Person/ Remote Live Data Science with Machine Learning Bootcamp

NYCDSA is a fantastic bootcamp. I picked them on the recommendation of a former student and it didn't disappoint! It was a seriously tough 3 months, I had never coded before I started the course pre-work having just finished a humanties degree and they pack a huge amount in. With their syllabus the course should really be much longer than 3 months, so you'll need to spend time on the pre-work and also consolidating post-bootcamp, but they give you a solid base to work off and plenty of material to work through even after you've left.You get out what you put in to this course. I was often pretty exhausted and increasingly had no weekends! It was no picnic but definitely worth it as I now have a job at a consultancy specialising in data. I think the best aspects of the course were that you could ask anyone for help, both students and teachers, plus the nature of the project work where you were also judged on your presentational skills. 

Very fast-paced, intense experience that gave a vigorous run-through of the Computer Science, Mathematical, Statistical, and Business-oriented skills necessary to break into Data Science. You won't graduate an expert, but you'll at have at least a baseline understanding of countless tools that you can continue to develop your understanding of upon graduation. The staff is VERY dedicated to student success and will go out of their way to ensure your understanding, and even more so if you approach them first. They do a good job building a strong sense of community among the students and faculty. If you're eyeing a career change or a way of breaking into the field, I'd highly recommend NYCDSA.

 I have a biomedical engineering background, and I enjoy solving complex problems using quantitative methods.  I had decided to venture into the field of data science and machine learning because I realized that there are many processes that are insufficiently modeled in a deterministic way.  When I graduated with a Master's degree in Data Science, I had acquired many tools and methods in disciplines such as computer science and applied math; however, I was lacking some experience actually "doing" data science, especially in working with real-life data.  NYCDSA gave me the opportunity to obtain hands-on experience in the model building process.  I also had a great time collaborating with other fellows, instructors, and mentors on challenging projects, which further expanded my skill set in proper data collection, data retrieval, and data visualization.  Overall, NYCDSA fosters an enriching and inclusive environment for students of all different backgrounds to gain valuable experience that's needed for a data-driven career. Regarding the job prospects post Bootcamp, I find it challenging in finding a suitable position in this ever-changing career field coupled with the tough economic situation.  However, I do think that NYCDSA is a great guide in pointing me in the right direction by providing the appropriate resources.   After graduation, a couple of recruiters reached out to me, and I was able to pass rounds of interviews with the knowledge I gathered from the projects I did in the boot camp. Ultimately, I'm able to receive a full-time data scientist position offer about three months post-graduation.  

I recently graduated from NYC Data Science Academy in March of 2020. Before I began my cohort, my background was in finance and was a novice in the data science/coding world. Though challenging and difficult at times the staff, instructors, and the TA's really helped me to push myself and assisted me to complete the program. The curriculum not only covers coding and data science but the individual & group projects, presentations, and the helpful feedback is very advantageous in the real world. Also, I really appreciated how NYCDCA went what of their way in little things that can make a big difference such as: head shots, resume reviews, interview preps, strategy in job hunting etc...They did an excellent job of covering all topics and encompassing everything that comes with either career change or building up your current career. From my experience, I only have positive things to say about the staff, instructors, curriculum, job support, and the community at NYC Data Science Academy and highly recommend NYCDSA to anyone who is interested in data science. 

This bootcamp helped me go from code illiterate to code proficient. The curriculum at NYCDSA is amazing. Trying to become an expert at anything in 3-months is nearly impossible, but NYCDSA does a pretty dang good job of presenting all salient data science topics and pairing these with four major projects that help to solidify your understanding. I was incredibly pleased with the quality of instruction and the expertise of the teachers. It felt like the instructors truly cared about my development and reception of the material. The career services team has been very very helpful. Like many things, you get out what you put in. I highly recommend this bootcamp, but if you do decide to attend make sure to complete the prework, devote 100% of your time to it (i.e. don't work at the same time), and put your all into each project. The four major projects (R Shiny, Python Web Scraping, Machine Learning, and Capstone) are important in how you market yourself post-bootcamp and were fundamental in giving me the confidence to say that "I am on my way towards becoming a great data scientist". Listening to lectures and understanding concepts can only take you so far, so make sure to befriend stack overflow, your instructors, and your keyboard as much as possible. Best of luck in your studies!

After working in the financial sector for over ten years, I have decided to strengthen data science skills, such skills are increasingly critical in problem solving. I chose NYC Data Science Academy over other bootcamps since it has a more comprehensive curriculum, the quality of faculty and the successful graduate networking. The 12-week curriculum covers the basics of data science, including Python, R and SQL coding skills, machine learning, clustering and algorithms knowledge, such a curriculum is indispensable in developing the data science-based analytical skills. The projects and the homework that we were assigned to are also quite useful to prepare job interviews. Alex and Luke are great instructors who helped out a lot with my study, as did TAs, I also made great friends from the cohort that I worked with here. I received invaluable support from the bootcamp in data scientist and data analyst interviews. I must say this is the best bootcamp to learn and improve data science skills and develop professional networks. 

I graduated from NYC Data Science Academy in September 2019. I was recommended by a friend of this bootcamp, as he told me that I will be able to learn a full spectrum of skills needed to enter a data-related job. Having almost finished my Master in Statistics, I wasn’t sure about the tools needed in the industry, because the master program focuses very much on theory but not on the practical tools.  Hence, I was very glad to be introduced to a toolkit of data science skills, those of which will be very applicable to any data science/engineer jobs in the future. One thing I really liked about the program was its intensity. I understood that students coming to this bootcamp came from different backgrounds, some of which might find it a bit challenging. For someone who has background in statistics and a little bit of computer science, the pace was very good because I could learn a lot of things within 12 weeks, bombarded by one project after another. I really liked the instructors here, especially Luke Lin and Zeyu Zhang, as they were so knowledgeable and patient. I also made many friends here, especially for someone who just moved to New York City. 

 The productivity of all the students including myself is one of the most remarkable things about my NYC Data Science Academy experience. The environment of top tier professors, hands on teaching assistants and extensive resources to learn from is inevitably going to prepare you well for a data science career if you are willing to put in the effort.  You learn a wide array of tools and gain very good insight about the field itself.  They're very proactive when it comes to helping you with your job search. 

NYC Data Science Academy’s program covers more material than any other leading bootcamp. Curriculum is created with long-term professional development in mind, while at the same time being incredibly “up-to-date” with all the latest developments in the industry. Thanks to the things above, bootcamp positions students for immediate success right after the completion of the program, while keeping on serving their career in the long run. In other words, NYC Data Science Academy’s curriculum includes some extra components, which are essential for getting a job at the top companies in the industry (e.g. FAANG). In addition to the core of the program, NYC Data Science Academy also offers practical and extensive preparatory material (already included in the price of the bootcamp). Thanks to these materials students are capable of building a strong foundational knowledge of the core material, and as a result, have a much easier time during the program.One of the greatest advantages of NYC Data Science Academy’s bootcamp is the group of extraordinarily supportive teaching assistants. Since 100% of teaching assistants are former bootcamp students, they possess a unique understanding of anything that current students are going through at any given moment. Another pivotal part of the program is its amazing collective of instructors, most of whom possess advanced degrees and multiple years of industry experience. No other place creates such a remarkable mix of academic and industry knowledge that allows students to not only learn how to code but to understand the underlying principles of the scientific and business processes. Last but not least, is the selection of projects that students have a chance to complete during the bootcamp. These projects not only allow students to apply newly-learned coding techniques but also push them to solve “real-life” problems and to create industry-specific practical solutions. Bootcamp has a healthy mix of individual and group projects, which gives students a chance to work with different kinds of dynamics, and most importantly to learn from fellow students. Overall, the unique selection of material, amazing teaching and supporting staff, along with the ability to be among a diverse group of people with all sorts of professional backgrounds is what distinguishes NYC Data Science Academy from the rest.

Before thinking about any kind of bootcamp, my background was in finance and I wanted to brush up on coding skills and my statistics knowledge. Once I decided I wanted to explore careers in data, I spent an insane amount of hours researching and talking people. I was scared to leave my job without any guarantee of getting a new job. Ultimately, I chose NYCDSA, and looking back, I am very grateful that I did. The people that I talked to from admissions were friendly, informative, and helpful. They were empathetic about the fact that this was a big step and they were not pushy or sales-y at all, which was very refreshing compared to some of the other bootcamps. During the bootcamp, the instructors and TAs were very invested in the students. They helped me think through project ideas, review concepts, fix a bug, and all of the above. I came out of the bootcamp with Python, R, and SQL skills along with a portfolio of projects that I wasn't embarrassed to talk about in interviews. The hard part of networking, interviewing, and studying for a new job doesn't go away - but NYCDSA gave me the tools and the job support to feel confident that I can do it. I've learned so much more in the 3 months than in the one year I tried self-studying for a career pivot. I've also met a great group of friends and people while doing so. Even with COVID, which forced our cohort to go online for the last 2-3 weeks, I was able to get a handful of data scientist and data analyst interviews.   I went in with the goal of making a successful career pivot and they've helped me accomplish exactly that as I accepted an offer at a new firm which I'm very excited about. 

I have nothing but positive things to say about the instructors, curriculum, job support, and community at NYC Data Science Academy! From day 1 I felt welcome and part of an extended family. While the curriculum is incredibly challenging; the instructors, classmates, and even alumni are ALWAYS there to help guide you through it. Like most things in life, you will get what you put in. If you work hard and embrace the collaborative community NYCDSA has built, you will be incredibly well-positioned for success in the Data Science industry.I secured a role as a Data Analyst at FanDuel Sportsbook 2.5 months after graduating from the program. We have now hired another NYCDSA graduate and will be looking to continue to build this pipeline in the future!Thank you NYC Data Science Academy for changing my life. 

 I picked NYCDSA because it offered the most comprehensive curriculum. Surely, the amount of content introduced was overwhelming especially in the second half of the bootcamp but with unwavering dedication and commitment, which was pretty ubiquitous and contagious in the bootcamp, the workload was just about manageable. I would describe myself as having a relatively strong quantitative background as I have a PhD in physics (though my knowledge of statistics and coding in general is abysmal), the coursework was still challenging. I would also confidently say that the coursework is taught in a way to be conceptually accessible by all. The bootcamp teaches two popular languages (Python and R, some SQL) as well as the core concepts of machine learning. The machine learning topics are taught with a good mix of qualitative and quantitative reasoning. The students are required to do four intense projects along with many exams and homework. Overall, the bootcamp sets up the students well for future success-- it gives us the foundation necessary to continue to grow as data scientists. The job support is unexpectedly great. The bootcamp works with us personally to become competitive candidates for the job market and also actively makes work connections for us. The instructors are beyond amazing as they rise above expectations always. They make you feel that they are truly responsible for your understanding of the topics and they are very open to feedback (in fact, they actively look for it). In hindsight, as a more experienced data scientist and knowing that there is only 12 weeks, I wish that we had focused purely on Python and SQL, and spent more time on coding challenges, algorithms, case studies, AB testing and big data techniques. There were duplicate content taught as we switched between Python and R though for some this may be good because repetition of topics with a different spin can help with better understanding and retention. And despite saying I wish we focused purely on Python, working with R and having the knowledge to use R Shiny was what ultimately made me more attractive as a candidate since I was able to showcase my work as an app. All this back and forth rambling probably just means that 12 weeks is very short and given that the field of data science is growing so quickly, it's really hard to gauge what exactly and what amount to master. Given this situation, if I turned back time and had to decide all over again where to invest my 12 weeks of time, I would without any doubt pick NYCDSA. With their expertise, receptiveness, hustle and attitude of wanting to do what's best for us, I truly believe that any student there will be in good hands. 

I took the 2019 summer bootcamp at the Academy, and chose it over other bootcamps based on the excellent reviews and ratings. I was not disappointed. Aiko, Luke, Alex, Drace and Michael were terrific teachers, and taught us Python, R and Machine Learning from scratch. The bootcamp is three months long, but because there is a lot of material to cover, it is incredibly fast paced. The material was however covered in a thorough and accessible manner. The Academy also does a nice job of preparing us ahead of time for the volume of work to come, by having the students do a lot of prework before the first day of class. In addition we get excellent and detailed course notes (which I refer to all the time). Overall it was a fantastic experience, and I strongly recommend it to anyone looking to build their skills in data science.

I chose NYCDSA because of its focus on data science applications in both R and Python and because of the quality of the faculty. The program lived up to every expectation. I came from a quantitative background, but the program did an excellent job of providing material so that it was accessible to people with a less quant heavy background, while also allowing people with a quant background to take a deeper dive. I was looking to switch from finance to a data science role, and this program helped me bridge the gap. The program is intense but deeply gratifying.

I had been an advanced analytics director in media looking to make a career change into the healthcare field as a data scientist. I was working with marketing scientists in my prior job that were using machine learning but was not fully aware of the power, accuracy, and methodology behind statistical models and machine learning. Not only did I learn the ins and outs of traditional machine learning through this course, but I also picked up hands on experience web scraping, analyzing many types of data sets, and creating my own algorithms and machine learning models to tackle real-life problems such as predicting critical disease. R & Python are taught side by side, allowing you to pick up both languages and also understanding pros and cons of each.Don't get me wrong, this was a lot of hard work, but if you're looking to make a career change and become a data scientist there is really no better way than to enter the belly of the beast. This is called a bootcamp for a reason so expect to roll up your sleeves and work very hard. However, if you do all your assignments, listen to the helpful advise from the instructors and administrators, and really make practical use of your projects and career support, this will be a career changing experience for you, as it was for me.

This 12-week course begins with a well-structured introduction to Python, R, and SQL and is friendly for beginners with no programming background. You'll be able to complete the first two projects: one is about web scraping and one is data visualization with R Shiny. We then covered the most popular machine learning models and concepts, which we implemented in the last two group projects. The boot camp also helps with resume, elevator pitch, code challenges, and there is a well-planned post-boot camp review section to prepare for theories and interviews. I have four years of experience working as a financial analyst and managed to get an offer one week after the career event. The things you learn here are the most practical skills in the professional world and will help you continue learning data science on your own after the boot camp. Job support is great!

I have more than 15 years of experience working in supply chain and I took the bootcamp with the idea of updating my data analysis skills and obviously also learn about machine learning, clustering, algorithms, etc. and I can say that it was totally worth it. The material, explanations and projects are really very interesting and challenging.

The main reason I choose this school was because it was the most professional one, most of the teachers had been there for a long time and they don't switch instructors in the middle of the cohort as most other schools.

A normal day is, usually, theory for about 3 hours in the morning and then practice and homeworks in the afternoon.

The part that I liked more is that the school really support the students in making sure we learn but also are able to create a very friendly and collaborative environment. I made really great friends!!

The reason I picked this Bootcamp over the other's was that after talking to the admission office they seem to be really serious about what they were teaching and the people they admit to their program. In my case, I was looking for a challenging environment where I could develop my programming skills and learn new skills in the data science world and the academy helped me achieve what I was looking for and much more.

The academy instructors are very well prepared and passionate about what they do. The only downside is that given only 12 weeks is hard to understand every single thing they are teaching, for example, one day you are learning Random Forest and the next day you are learning something different. But something that they planned really well and is really helpful is that since you are learning Machine Learning in R and Python when switching to the other language the theory remains the same only the code changed, so in a way, you are reviewing theory twice.

The whole experience was incredible, the people that attended my cohort were very smart people coming from different backgrounds like finance, physics, business, engineering, to name a few and from top universities like Harvard, Oxford, Cornell and also different countries which made the whole experience much more interesting. What I enjoyed the most was that working with these different people made you look at data from very different perspectives and in result have a richer analysis of a simple dataset.

After the Bootcamp feel ready to start looking for a data science job, I was already in a quantitive field but this program has really helped me gain that confidence I needed to have a career change.

NYC Data Science Academy was my first choice because of my interest in data science, and their reputation as the best data science program. They did not disappoint.

As a recently separated veteran with a master's degree in physics, I was looking for a way to renew my credentials for employment in the technology sector. A friend of mine told me about his successful full-stack engineering boot camp experience and subsequent employment, so I began doing some research. I did not know what data science was, at the time, but I read about it on Course Report, and it seemed like a perfect fit for me, so I signed up. 

NYCDSA is exactly as advertised: an intensive program on data science methodology aimed at students from a wide variety of backgrounds. With my background in physics, math, and C++ and Java coding, I felt that the Python and R syntax taught at NYCDSA was not too difficult. Other students were less prepared but often did okay anyhow. The course began with Python and R syntax for handling and visualizing data, and then continued with machine learning methods in both languages as well. SQL and Docker were also covered, but rather briefly. At the end of the course, deep learning and Tensorflow were introduced, as well as Spark and Hadoop. I would have preferred that more time be dedicated to those topics, but this is a three-month boot camp, so time is limited. Nevertheless, given the allotted time, I feel that I have achieved an incredible amount, and I'm very happy with my experience. Boot camp is not cheap in either time or money, but this one was well worth both. I intend to continue building on the knowledge, experience, portfolio, and network that I have accumulated at NYCDSA as a professional data scientist.

I graduated in end of June(Cohort 17). Right now I'm a Data engineer at top tech firm in China. 
The bootcamp materies encompass big data, machine learning, and data analysis tool such as Python, R, SQL.
 This include all the to-go package to be a Data Scientist. I'm so grateful that I attended this bootcamp. Peoples in the bootcamp are very nice and helpful. 
This is the big community for every people that want to be a data scientist, come and join us!