NYC Data Science Academy

Before my NYC Data Science Academy Bootcamp Experience, I was a high school mathematics teacher.  In order to make informed pedagogical decisions, I increasingly relied upon data collection and data analysis.  This sparked my interest in data science.  Since I enrolled in the Summer Session of the Bootcamp, I was able to continue to receive my teacher salary for most of the 12-weeks.  
After making the decision to enroll in a bootcamp, New York City Data Science Academy quickly became my top choice for the following reasons:
Multiple Languages (Python and R)
I appreciated the emphasis on learning both Python and R.  When searching for a position, this increased the number of jobs I was qualified for, and I used both Python and R during the Technical Assessments of my job search.
Pre- and Post-Bootcamp Support
From my research, I was convinced I would be supported before and after my bootcamp experience...which was true!  
Pre-Bootcamp
I had no previous programming experience, so I enrolled in 2 helpful introductory courses at the NYC Data Science Academy, one for Python and one for R.  The price for these classes was subtracted from my Bootcamp tuition.

Post-Bootcamp
During the final Capstone Project, many students elect to work with outside businesses that partner with the NYCDSA.  The company I worked with offered my team an additional 2-month, post-bootcamp data science internship.   This was a great learning opportunity, plus a great addition to the resume!

Months after my bootcamp ended, I was able to participate in a free, 2-week intensive,  marketing-focused workshop led by NYCDSA Bootcamp Founder Vivian Zhang (open to any graduated bootcamp student).  The workshop was filled with marketing domain knowledge and practical applications.
In addition, I was also able to schedule over 10 meetings with NYCDSA Career Support, Bootcamp Alumni, and Bootcamp Faculty, allowing me to brainstorm and prepare for my data scientist & data analyst interviews.
I am very glad I chose to join the NYC Data Science Academy Community.  I just landed my first job as a Data Analyst, and I believe my Bootcamp Experience was worth every penny. 

 This bootcamp was suggested to me by my friend. She has done very well after completing the program. I'm a bit different to her. She has a math degree and my background is in languages and business. Also, I have zero experience in Data Science or programming as a whole. 
The curriculum allows to build the foundation first. It's not done slowly, the program is quite intense. Somehow I found myself forgetting I knew so little and understanding the course material. 
The three months  wouldn't end and I think you just live longer during that time as you hardly ever sleep. But ultimately it's worth the long nights as you do learn a lot. 
After the bootcamp you're given post bootcamp challenges to lock in the knowledge. Don't skip them, they are very helpful. Also, there're helpful one-hour sessions to guide your through your job search. I find them particularly useful. 

I joined NYC Data Science Academy this summer to help me make a career transition from Material Science Engineering into Data Science, and in short, it worked! I increased my salary, easily making the Bootcamp worth it as a purely financial decision, and am starting to work in a new exciting field. 

I chose them over others because I was impressed with their instructors and they offer continuous career support after graduating.  I was not disappointed. Their instructors are passionate and knowledgeable and seem to genuinely care about teaching and helping their students. After graduating I had two internships directly from relationships and connections I made at the Bootcamp and had many interviews from the same network.  Their career services have always been available, helping me with my resume and acting as a soundboard to help prep for interviews.  

I only recommend getting into Data Science if you love math and coding. If you do and are willing to put in the work NYC Data Science Academy will prepare you for and help you get a job. 

I was in your shoes not too long ago and chose to attend the full-time program in the first quarter of 2020 due to the overwhelmingly positive reviews that I read on this page. As a career switcher from finance, I think NYCDSA does a great job of helping execute the tangible steps necessary to make a switch like mine, so at this point the ball in your court to take action to change the trajectory of your career. 

The curriculum can be best described as comprehensive - it covers Python, R, SQL, and Machine Learning techniques to provide students with the tools needed to further develop their data science skills and ultimately become competitive job candidates. That said, I must stress the importance of putting in the genuine effort to get the most out of this program. Participation in this program isn't a job guarantee, so please don't go into this thinking of this as a shortcut towards placement in an incredibly competitive field to break into. 

I graduated in March 2020 just as the COVID-19 pandemic was starting, so things like the job fair weren't an option for me, but I do feel that the academy made an earnest effort to make up for this through engagement. Continued check-ins from staff and complimentary workshops really gave me the push I needed to keep going through this unique time and ultimately find a role as a data consultant. 

In short, there's no time like the present, and if you can honestly tell yourself that you are willing put in the effort to learn about this awesome field, unequivocally DO IT!

I attended the Data Science 12 week Bootcamp in Sept 2019. Making career change is definitely the best decision that I ever made. I found a job three months after graduation. 

The professor all have PHD. They are all very knowledge and helpful. The TA mostly have master's degree and PHD. The curriculum is intensive but it is very informational. The machine learning projects that we completed are very good. I have a few interview questions that asked me to explain my machine learning project. 

The bootcamp is expensive but it is an good investment for people who want to make quick career change. 

I was not sure what to expect before I enrolled. The pace is fast, the program is demanding. You need all your ability and energy for this course. The staff is composed of brilliant and kind folks who are there to support you in all possible ways. It is up to the individual  how much is taken out of the program. It is not inexpensive but certainly amazing experience and tool under your belt.

I started this program with absolutely Zero coding background. I was a little skeptical about signing up this program. However, school prep you 2 coding languages (Python and R) from scratch. Instructors are very friendly and helpful, students can reach instructors easily if you have questions. After the 4 weeks intensive basic coding training, i was able to understan and build a strong base for the advanced topic such as, Machine Learning, Visulization. There were 4 projects needed to be completed in order to finished the program. The data we aquried for final capstone project was from the company in leading industries. I would say this school opened a door for you in the data world and help you land your dream job in the future. 

In trying to enter the Data Science field, I came to the conclusion that the bootcamp route was my goldilocks option, somewhere between self-teaching (low cost/commitment) and a master’s degree (high cost/commitment). If you come to the same conclusion, I couldn't imagine a better bootcamp experience than NYCDSA.
Curriculum: Comprehensive and (more importantly) realistic. NYCDSA focuses on building a strong DS foundation. So instead of becoming a superficial expert on the most complicated buzz-word models, you become a solid expert on DS foundations with experience applying those foundations to projects. This turned out to be hugely important, as many of my DS job interviews focused on fundamental ML concepts, and I could give in-depth answers.
Faculty: Top notch. The instructors are experts with years of experience, and they're skilled at breaking down complex topics. This allows them to work with both beginners and advanced students. Further, they're incredibly supportive, and always available to answer questions and help with projects. For me, that alone made the investment worth it - to have experts available to help work through your questions, instead of banging your head against the wall trying to figure it out yourself.
Job Support: The Covid job market is tough, but the NYCDSA team does what they can to help. They made introductions/recommendations, hosted events, helped prep for interviews, and met with me many times for career services. Of course, at the end of the day, you’ve got to get the job… but they’re on your side every step of the way.
The only issue I have with the bootcamp route is that going in, there’s often this “do a bootcamp, get a job” misconception. More realistically, it’s “do a bootcamp, then study for a few months independently, then commit yourself to interview prep and job hunting, then get a job.” 
As long as you’re ready for the work, the bootcamp can be a perfect first step. For me, NYCDSA and the self-led study that followed provided the very necessary foundation of my DS career.

I have a philosophy degree and was working as a data analyst, but I was interested in taking my career in a more technical direction. NYC Data Science academy provided me with all of the tools to become proficient as a Data Scientist. Their 3-month program gives students a unique opportunity to gain a deep conceptual understanding of the field as well as exposure to real-world projects. No other program provides this level of immersion in the field. The projects are real data science projects that you would work on as a professional data scientist and provide you with an impressive portfolio.

It really comes down to the people at NYCDSA from the instructors to career services and the alumni network. They are all ready to make a significant investment in you and your career as a data scientist. I loved learning from my instructors and from my peers. I truly feel like I am part of a community. Even in difficult economic times, you are put into a great position to launch a career as a Data Scientist. You need to be willing to invest a lot of time, but the investment pays off!

NYCDSA went above and beyond to make sure that their students had a stellar bootcamp experience despite being in the midst of a global pandemic. Having a "live online" model meant that we were all taking classes remotely, but that instructors were giving their lectures live through zoom and using screen sharing to share lecture notes, slides, and example code. Instructors and TAs were very readily available digitally, and made sure to make themselves available to teach and answer questions at almost all hours of the day. 

Aside from the impressive response to COVID, overall the curriculum was very involved - a difficult but worthwhile challenge for both beginners and experts alike! The coursework is designed to push you and involve real-world datasets as examples in your analysis, and projects give you a real sense of how to approach data analysis in an intelligent way. This a great place to learn!

A good school, open, with high level professors. Courses are introductive, but if you have deeper questions, there is no problem, the staff is there for you, which is great and adaptive for everyone. The job assistance is very effective, and they help you to be your best!

 i started this program during the pandemic and absolutely no regrets. i was skeptical having it online at first but the instructors and TA's make it as hassle-free as possible to help you out. Its tough but worth the handful of sleepless nights. 

I'm a software engineer with work experience in Business Intelligence. I always felt data science was a logical extension of business intelligence. I had been planning to transition into the data science space by joining an immersive data science Bootcamp. I picked NYCDataSceince Academy after researching on various boot camps near my area.

My experience has been a positive one. I was able to learn a lot of data science-related subjects in a short span of 3 months.
Thanks to the instructors, who were always there for the students. They really cared about the students and are well versed in the subjects they teach. The career services are very efficient, leveraging a large community of alumni.
I would recommend this Bootcamp to professionals who are looking to break into the field of data science. 

I attended the 12-week Data Science Bootcamp in May 2020 and gained a great deal from the experience.  I came in with a background in mathematics, but with limited experience programming in Python.  By the end of the bootcamp I was very comfortable using Python to work with data and run machine-learning analyses such as Random Forests and Gradient Boosting.

What I thought was exceptional about the course was the quality of the instructors.  These ranged from mathematicians with a distinguished track record in academia, to hands-on software engineers with experience working with complex systems.  In all cases the instructors were encouraging and generous with their time.

The bootcamp has an extensive pre-work section and I'd advise any attendees to complete this thoroughly.  12 weeks is a short time to cover the amount of material that's on the curriculum, so building basic coding skills before the start will be very beneficial.

All-in-all I felt the bootcamp delivered exactly the skills that I was looking to build.  I'd recommend it highly to anybody who wants a serious foundation in the subject.

I attended the 12-week Data Science Bootcamp at NYC Data Science Academy and it was a fantastic experience. It was meant to be in-person but the classes were moved online due to pandemic. The transition was seamless even though we were the first on-site cohort to become fully online.  I can't recommend this program highly enough to anyone interested in a career in data science and machine learning. You will learn a lot in a very short amount of time so be prepared for an intensive experience but you'll enjoy every minute of it. The instructors have strong backgrounds in applied mathematics, computer science, statistics and machine learning - as well as industry experience - and it's extraordinary how much time and energy they put in to make sure that students understand what being a good data scientist means.  You'll do homework, quizzes, exams, projects (individual and in groups), it's a lot of work but you will never feel stuck as they have excellent TAs who are always there to help.   You will learn Python, R, SQL, different machine learning algorithms as well as how to work with data. But that's not all: what I particularly liked was how strongly they emphasised the importance of presentation skills and the ability to tell a story behind your numbers.  Their devotion to making sure that they prepare you well for a career in data science is quite remarkable. Their career services are outstanding - you will have regular meetings to discuss your resume, prepare for interviews, network with alumni.  My background is in applied mathematics and quantitative finance but the curriculum is so intensive that I had to work 12 hours a day to meet all the deadlines. But - and that's what makes NYCDSA truly first-class - it will never feel like hard work because you will be surrounded by people who are not just very good at what they do: they are passionate about data science and their enthusiasm will inevitably translate into you enjoying it, too.  So if you are interested in a career in data science - NYCDSA is an excellent place to start. But even if you are considering data science but not sure whether you'll like it or not - try to get into NYC Data Science Academy: not only will you learn a lot but you'll actually love data science and will want to make it your life's work. 

Without question, this is an outstanding Bootcamp for those looking to break into the field of data science. The curriculum is structured to help students master the essential vocabulary in Python (and R) needed to gather, clean, analyze and visualize fairly large data sets(up to a few million records of data) as well as master the theory behind the traditional machine learning algorithms used in supervised and unsupervised learning - ie. penalized MLR, SVM, DA, LR, DT, RF, Gradient boosting algos, clustering and PCA along with hands-on homework, quizzes, exams and project work to consolidate theory with practice. And all this is crammed into 12 weeks so prepare for an intensive ride. But as others have mentioned you will get as much out of it as you put in and this includes utilizing the wealth of resources available to you via the instructors and your cohort.
In addition to the coursework, the Bootcamp prepares students for the job market by emphasizing presentation skills and the importance of using data to tell a relevant story or solve a business problem. The founder of the program is personally involved in the resume and interview preparation as well as many aspects of the job hunt process.
I enrolled in the 12weeks in-person Bootcamp but due to Covid-19, all classes were made virtual. I commend the Academy for making this transition seamless without a reduction in the academic experience.
I certainly recommend this Bootcamp to beginner/intermediary level data science professionals or those looking to make a complete switch. For more advanced students, the Academy offers advanced courses in deep learning and working with much larger data sets that are unfortunately separate from the Bootcamp(at an additional cost of course!)

The NYCDSA is about as rigorous an education as it's possible to pack into 3 months. I was a total beginner in coding, computer science, math, and statistics, so I found the experience very challenging, but very rewarding. Data science is not something to get into idly, but if you're committed, you should be able to make it through. It helps to know someone outside the camp who can assist with the coursework, even though their group of instructors and TAs is top notch. You're going to encounter a pretty brilliant group of people.

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.