NYCDSA was referred to me by professionals in the industry. I chose the remote bootcamp and learned a vast amount of topics including SQL, R, Python, and Hadoop & Spark. During my studies, I published 4 blog posts of project work ranging from a visual analysis of the American Music Awards to predicting housing prices. I had an assigned TA who I met with weekly to discuss my courses and homework, which was very helpful. Interview prep was also a great asset to the program. Upon graduating I received a grad package with a NY State Board of Education certificate included. I received a job offer within a month of graduating as a Growth Analyst. 

After working as a computer engineer for 11 years, I decided to pursue a career change in to data science. I looked at a number of different programs available across the country, and I ended up deciding to go with the NYC Data Science 12 week intensive program. One of the largest advantages that program had over others is that they teach both Python and R. I think that both languages have their place in data science, but the biggest benefit from learning both is that the core elements of the program were first introduced in one language and were later reinforced in the other language. I found this to be especially helpful for creating a solid foundation during the machine learning portion of the course.

The program was very demanding, but it was definitely the type of experience where you get what you put in. The instructors and the TAs were all incredibly helpful and responsive whenever I had difficulties with the projects or understanding any of the course materials. 

The job assistance resources that the program provided were incredibly valuable, from special sessions that were targeted at helping us create a great resume to a hiring event with a large number of prospective companies. The outreach from the school didn’t end once the program was finished, and they were a very valuable resource while I was searching for employment in my new field.

I would say that overall the program was a great experience, and I am very happy that I decided on attending the NYC Data Science Academy.

Attending NYCDSA was an incredible experience that allowed me to pivot my career from traditional finance into Data Science and land me a great job with a well-improved salary soon after graduation. I chose it over other bootcamps in NYC because it taught both R and Python, had a strong alumni network, and had a collaborate and family-like environment that made every day enjoyable.

Be prepared to work very hard and learn a lot in a short amount of time. The curriculum is intense, covers all major areas of data science and teaches you the most up-to-date tools in data analysis, stats, coding and machine learning. I knew only basic SQL and stats before this so it was very challenging for me to learn more advanced stats, Python, R and machine learning in just 3 months. That being said, I typically stayed at the bootcamp 10 hours a day and often 12-14 hours during projects, which helped me learn faster. The TA’s and instructors were always available to provide assistance which aided in the learning process as well.

Because I spent so much time at the bootcamp around like-minded individuals, I became good friends with many people in my cohort, many of which I still keep in touch with post-graduation. Collaborating on group projects, helping each other with homework, happy hours, and late nights made the experience a lot of fun and made the learning easier.

Overall, you get what you put into it. Even as one of the least experienced in my cohort, I was able to keep up and become proficient in coding R, Python, SQL, and build a strong portfolio with practical experience in machine learning by putting in the time. The job assistance prepared me as well as it could have and helped tremendously in getting me more interviews, and performing to the best of my ability during interview behavioral questions, whiteboarding and case studies. I highly recommend this program to anyone looking to get into data science or improve their data science skills.

I have a Ph.D. in Organic Chemistry, and was looking for a career change before coming to NYCDSA. A friend of mine who had finished the bootcamp and got his Data Scientist job shortly after introduced me to the bootcamp.

The program was quite intense and comprehensive. The course materials are well prepared and presented. As someone who didn't have much prior coding experience, I was able to absorbing pretty much everything without any problem. Out of the bootcamp, I felt very confident about my technical skills and understanding of data science.

The job assistance from NYCDSA was valuable for me. They had sessions during the program to prepare resume and workshops for graduates to prepare for interviews. More importantly, their hiring event and referrals helped me to get interviews so that I can show the skills I have gained from the bootcamp. In fact, I got my job through their referral.

Overall, it was a great experience for me. If you are motivated, interested in data science and willing to put in your effort, the bootcamp will be a rewarding journey for you.

I was glad that I took the bootcamp in NYC Data Science Academy where I started my journey in data science. I had some experience in data analytics before coming to the bootcamp and I really want to learn more about machine learning and algorithm. The bootcamp does a great job in offering the intro to ML, Deep learning etc and I really appreciate the way in which we worked as a group to finish our ML and capstone projects. It is intensive but it's definitely rewarding if you put all your efforts in. The instrutors and TAs are helpful in guiding us with homework and projects. I also made friends with some bootcamp alumni who are both supportive and wholesome. I finally decided to do a master degree in Data Science and the experience in bootcamp contributes a lot in my application. They also connected me to previous graduate who was able to refer me for internship opportunities. If there is one thing that the bootcamp could improve, it would be that the instructors don't have much experience working in the industry before they become the faculty. It would be more helpful if they know the industry expectation and how to tailor the curriculum to the industry demand. In all, I really recommend this bootcamp!

I took the Python Data Analysis course and found it very well structured and useful. My instructor Anthony Schultz did a great job covering both theoretical and concrete concepts all the while with a sense of humor and funny analogies. 

I'm leaving the five weeks feeling that I have a solid foundation of the basics of python and how it can be applied for data analytics and task automation. 

I attended the Introductory Python course.

I really enjoyed this class and after just one month I feel like I have strong foundation of Python. (I had no coding expirience prior taking the course).

Classes were a combination of theory and practice. Anthony Schultz did a great job with covering all necessary course material and making it interesting and funny!

I learned a lot about Python and working with data. I had no prior experience with Python but after this short introductory course, I started to actually understand what, why and when I can do with Python and actually use in for data analysis.

Anthony Schultz comes up with awesome metaphors that can really explain how stuff works and why it is important.

I really loved the way the course is structured: we had some theory followed by short practicing that helped to understand the given information better and to stay on track.

I went through the NYCDSA 12-week Bootcamp in Fall 2018 and later stayed as a TA for the next cohort.

Before joining the Academy, I had a significant coding experience both in R and Python. Still, I learned a lot. My main goal was to structure my knowledge and learn how to code at the production level. Also, I figured that the program would strengthen my resume as I was switching from investment banking/VC world to Data Science.

The Bootcamp is a very immersive experience, and as it is the case with many programs, you get out what you put into it. The curriculum is packed with practical and theoretical knowledge and can keep you busy most evenings/nights during the Bootcamp. For those who have limited or no coding experience, there is a pre-course work online with hours of training videos and hundreds of exercises. Instructors are extremely knowledgeable and can be a great asset if you decide to experiment with your Capstone Project.

Speaking of the Capstone, the Bootcamp leaves you with four projects: web-scraping, visualization, Machine Learning, and a Capstone of your choice. These projects were beneficial for me when I talked to potential employers.

Now probably the most crucial part. The school is very well connected with high calibre hiring partners from various industries. Most of my classmates landed jobs within a couple of months after graduation. In my case it, it took about two months of a very focused search to get two offers from the companies I dreamt working for.

All in all, I could not be happier with my experience.

This bootcamp completely exceeded my expectations. The curriculum was challenging and thorough. The instructors were intelligent and very helpful outside of the classroom. My classmates were very bright, helped foster a fast paced program, and I never expected that we’d have a lot of fun together too. Of course the bootcamp helped with my Python, R, and SQL skills, but I also gained public speaking and teamwork skills from the project-focused curriculum. The career advice given to us about job-searching, communication skills, and analytics in the workplace were valuable too. 11/10.

The NYC Data Science Academy is an amazing place to get started if you are looking to make a transition into Data Science.

That being said, you really need to do the pre-work before the boot camp and having math and stats knowledge is very helpful. The program is very challenging and covers a broad range of material to get you exposed to the vast realm that is 'Data Science'.

You will work with great instructors who are extremely helpful and really care about the students. If you put in the effort it is truly a transformative experience. I could not have landed my most recent job without the skill set I acquired in this boot camp. Finally, you will also make a few friends along the way with your great classmates :)

I attended the immersive 12-weeks bootcamp during fall cohort 2018. It took me a while to write this review because I am busy but happily working as a Data Scientist, solving exciting and challenging data problems. 

The instructors are very attentive and helpful. If you are Math/Statistics background, it would help a lot during the bootcamp. But the instructors make sure you understand the theories through well-designed course structure, examples and practices no matter what your background is. 

Not only do they teach you on data science and technical tools, but they also offer exceptional advice on searching and interviewing for jobs. Their support is amazing and is what helped me get my current job. Special thanks to Luke and Vivian!

The immersive program was intense but I also learned a lot from fellow students. I made a lot of great friends through the bootcamp. You get to know people from various academic backgrounds and industries. You would learn how they formulate solutions to data problems in their domain, which are always enlightening. Shout out to team JLP aka team Ostrich Pillow!

I joined NYCDSA for their 12-week bootcamp in fall 2018. I had graduated with a PhD in biology that summer, but I was looking to improve my data science skills (which were limited to basic knowledge of R) to work towards a more quantitative scientific career.  My decision paid off, as I am now working as a bioinformatics data scientist after a relatively short (~2 month) job search and interview process.

NYCDSA has a great deal to offer to anyone looking to move into data science. They provide excellent career counseling throughout the course and connect students to a large number of opportunities in many different fields (finance, marketing, biomedical, business operations, etc) through in-course talks/panels, and a very large career/hiring event after completion. The career guidance is an invaluable aspect of the course.

During these 12 weeks, I learned more than I thought possible. I was one of those who considered trying to teach data science to myself. After doing the bootcamp, I would now discourage this for the following reasons: 1) The projects: You will complete 4 thorough projects, with experienced instructors and TA’s, which will serve as a critical piece of your resume during the application process. *I specifically went through my projects and code while interviewing for the job that I ultimately accepted. 2) The aforementioned career guidance, which was so indispensable. And 3) You will learn far more efficiently here than you would on your own. There is simply too much material to learn in such a short time – without knowledgeable instructors who know how to plan and execute a curriculum, you will take much longer to master the same amount of material.

Be warned – the course is very challenging and will require a lot out of you. It is designed, and is most effective, for driven individuals looking to push hard and create opportunities for themselves in the data science field. A small number of the students were frustrated by the amount of content and workload, but in my opinion, NYCDSA is teaching you as much as you need to be competitive as a data science candidate. Read other reviews from people with no coding experience who were hired as data scientists – this is only possible because of the challenging 12-week curriculum offered here.  Bottom line, it’s a great career move if you are properly motivated – I highly recommend it!

The bootcamp provided absolutely everything we needed to boost our resume and give us the skills we needed to start out as a Data Analyst or Scientist. I was offered a position and started working immediately after the bootcamp, and it was due to the resume tweaking and data analysis skill set that I obtained in such a short time.

I attended the 5 week Python course with Anthony Schultz . The syllabus was extremely comprehensive and provided a very well structured approach to Python and its applications.  Anthony was a fantastic teacher and effectively covered a wide range of concepts and topics in a short time period. I enjoyed the weekly homework problems as well - they cemented what was learnt in class and really made me think. I feel a lot more comfortable in my coding abilities and would highly recommend this course. 

New York Data Science Academy & Python for Data Anslysis and Visualization  This course was not only extremely cutting-edge for all of today's industries and work areas but it gave me a great deal of confidence to continue my data and computer science studies at the next level. This course has actually inspired me to not only enroll in other NYC Data Science Classes but also think longer-term about continuing graduate level work in CS. This was my first class at NYCDSA and all I an say is I am extremely grateful to have had Dr. Anthony Schwartz as an instructor. Anthony kept the material vibrant and fun with colorful analogies that made the subject matter easy to digest and remember. This allowed for both an esoteric understanding of what was happening "inside the code" coupled with real-world applications that began to streamline and automate a lot of my day-to-day work right after Class 1.  I cannot day enough good things about NYCDSA and Dr. Shultz !!  Bob Trieste Long Island, NY

I had the Python Data Analysis class with Tony. He did a great job in explaining Python in details and gave specific examples every time new knowledge was introduced. I would definitely take his class again. 

This is perfect for you if you already have some coding and math background and want to tie it all together into data science. The instructors are invested and clearly know their stuff, but with this kind of material you really need to apply yourself and study on your own to gain a complete understanding. You will acquire a good foundational understanding of machine learning techniques, but I think even more valuable is the broad (though in some places not super deep by necessity) exposure to lots of different data science and data engineering tools (R, pandas, AWS, Spark, Hadoop, Keras). The field is huge, and this is a good place to start. You can go a lot of different directions with the knowledge you gain here.

Fantastic Bootcamp.  I was able to gain a solid fundamental on Python, R, and Data Science skills.  I was able to start my career and advance quickly in this field.  Be sure to be ready to climb up a steep learning curve with highly knowledgeable mentors.  The job assistance has been great and Vivian has always provided me with stellar recommendations and references.  

I could not have been happier with the bootcamp experience I had at NYC Data Science Academy.  The staff was incredible and does an amazing job of designing a curriculum and creating an environment for a broad range of participants to develop their data science skills.  They are constantly working to update the curriculum and are very open to feedback.  

I gained a great deal of confidence with both the theory and applications behind supervised and unsupervised machine learning methods, data analysis, statistics, data visualization, and big data tools.  I became very comfortable with both Python and R and completed four projects that were enormously helpful come interviewing time.  Post-bootcamp, I received several job offers as a Data Scientist that I was very pleased with.

Perhaps most importantly, should you decide to attend this bootcamp, you'll be joining a constantly growing alumni network.  There will be endless opportunities for networking, corporate training, and engagement.

I would highly recommend this bootcamp to an aspiring data science professional.

I didn't have a coding background and I was hired as a data scientist after graduating from the bootcamp.

The program is extremely comprehensive, with challenging problem sets and 4 mandatory projects to showcase your abilities. The support staff (TAs, teachers and bootcamp management) are always available and are more than helpful when job hunting. Not only does the bootcamp have deep connections with a multitude of firms, but they also setup a networking event for recent graduates to meet potential future employers which is how I ended up finding a job.

Deep learning course conducted by Jon offers a great learning experience for people starting with their journey on deep learning. Jon starts with the basics and gradually moves on the advance topics. The topics are shared well in advance so that we can prep ourselves before the class. Jon mixes the intuitiveness and the mathematics on the topic in a balanced way. As part of the course, Jon also encourages everyone to do a project and offers great support. My only piece of constructive criticism (which by the way is not at all a criticism) would that the last class is a bit heavy content wise and hence breaking it down a little would be something to consider. Overall, I would highly recommend this course to someone who wants to start with deep learning.

First off, my background: I have a PhD in mathematics. I learned coding (C++, python), machine learning and deep learning myself before bootcamp. But I still struggled to find a job. Therefore, I decided to attend an onsite bootcamp to boost my chance of landing a job. I picked NYCDSA because of recommendation from friends and positive online reviews.

The overall experience with NYCDSA is amazing: Attending a bootcamp is different from learning from books/online lectures. It is more systematic and designed towards requirements on current job market. In addition to lectures, I have to do four projects on different aspects of data science (visualization, web scraping, machine learning, deep learning) where I get essential practice on how to apply theory to real problems. Besides, I made many good friends from different backgrounds and we learned a lot from each other. Last but not least, the career assistance is comprehensive: from resume review, mock interview to alumni referal and hiring event, the team there helped with every step in the job hunting process.

In conclusion, I will recommend NYCDSA to anyone who would like to switch career to data science and is willing to work hard to get the most out of what the bootcamp can provide.

The Deep Learning course by Jon Krohn at the NYCDSA has been one of the best courses I've taken. With a focus on projects, Jon teaches students the tools they need to create their own deep learning project at any level. When I say at any level I really mean at any level. I'm a biology major originally and printed my first 'hello world' a year ago. Even with my very limited coding and programing background, I was able to complete a deep learning project involving creating my own labeled dataset and a convolutional network classifier. You can see it here on my medium page, https://medium.com/@jhaseon/glut1ko-genotyping-classifier-e49f0e5a4ca9. 

I really appreciated his course structure as he drills in the beginning of class what he terms 'arsenal' deep learning terms and theories which I believe played a huge role in my ability to even create a project. The course is just 5 weeks so a lot of information is packed in weekly, but it really is for deep learning hopefuls of all levels from the basics of keras in machine vision or natural language processing to the intricacies underneath tensorflow. 

Jon was insightful, responsive, and encouraging to his students throughout the course. He often broke down difficult theories and concepts on the whiteboard with easy to understand examples and drawings which I found very helpful. I am looking forward to more classes from him!

Jon's course on Deep Learning was great. It started with the basics including the background theory, then progressed to looking at concepts in different fields like computer vision, NLP, reinforcement learning, etc. It required a bit of programming experience, but not too much for those worried about their experience level. Likewise for math chops - having a basic understanding of linear algebra helps in understanding the theory, but it's not required to use it in practice. Following along in class was great, and the materials he had available for learning outside of the classroom were fantastic as well (i.e. his materials on GitHub, links from his presentations to outside materials, etc.) If Jon does a course on Intermediate/Advanced Deep Learning, or deep dives on topics within deep learning, I'll definitely be on the waiting list!