NYC Data Science Academy

I am a career changer with an educational background in the humanities, and the academy was crucial to getting that important first job in a new field. The academy provided me the training and guidance build a small portfolio of data science projects, so that I was able to secure a job as a Senior Data Analyst at a great company. 


One thing that differentiates this academy from other bootcamps is that they teach both R and Python. I really appreciated this because understanding how the same techniques can be implemented in different languages is important - since there are so many languages out there. The machine learning concepts are reinforced the second time around in the new language. Also, learning R allows you to connect with the R community, which is very strong in NYC. I, pe...

This class was very useful. It helped me understand a lot of the visualization basics.

Tony was effective at communicating material that was brand new to me using funny/quirky examples that also livened up the room. My critique would be to focus more on how/what would be most impactful to the professionals in the room for example expanding on pandas and numpy.

I have some background in programming, and I am using this class to brush up my long-estranged relationship with Python. It is very helpful for me to dip my hands back into this subject matter and start integrating this tool into my day - to -day work.

I took the 12-weeks bootcamp at the NYC Data Science Academy. I am a postdoc in India. I had been writing graph algorithms for social network analysis and analyzing data using MS-Excel. I decided to extend myself to data science from data analysis.

I researched for about six months to choose a proper academy to learn data science. I came up with a decision to join NYC Data Science Academy, because I can learn both R and Python within three months. But, I learnt more than I thought. I learnt SQL, Spark, deep learning, Hadoop and Hive as well. This is my best decision because the academy trained me to write code properly.

The materials are technically sound for job interviews. Many experienced professors and industry professionals design and teach the materials. The course laid a...

I am a graduate from this place with experience in Data Science field. I came to NYC data science to learn more. But they have cramped the course content with so much material that you really dont get chance to deep dive.So if you think about it you could get the same content from Coursera and Udacity. They copy the contents from those places and change it and from the book as well. All the instructors are fresh out of college who dont have experience teaching nor industry experience, i repeat the instructors dont have experience teaching they might have the statistic background but not to a point to explain it properly. After graduating i had to relearn everything from online courses since i knew what to cover. So the only thing i can say i gained out of it is the structure to what i n...

I am extremely happy with my decision to attend NYCDSA’s 12-week data science bootcamp.

I had recently completed my PhD in evolutionary biology and was looking for alternative career options. I found that data science satisfied both my intellectual curiosity and my desire for a challenging career, but I needed to find an avenue through which I could quickly make the change.

I researched the different bootcamps in the NYC area and chose NYCDSA because the curriculum offered was unique, being taught in both R and Python, and the instructors had excellent academic and data science credentials.

The program itself was fast-paced, in-depth, and admittedly, quite challenging. It began with coding fundamentals in both languages, and then progressed into the conceptual and mathematical...

I attended the 12-week data science boot-camp at NYC Data Science Academy from Sep. 2016 to Dec. 2016. Before that I got my PhD in Chemistry and worked 6 years' as a Post-doc in biochemistry.

The curriculum was well organized. 12-week courses covered R and Python programming, statistical analysis and machine learning. During the last few weeks, big data tools like Hadoop and Spark were also covered. For one coming from academic background, the breadth of topics and difficulty level felt just right. The boot-camp courses weren't supposed to teach you everything, but they did prepare me very well if I wanted to explore further data science topics.

The bootcamp was intense. I was only sleeping for 4 hours a day during bootcamp. It was demanding both physically and mentally, but I wa...

I took the class with Jon Krohn and could not be more pleased. Jon has a rare ability to take a complicated subject and reduce it to its fundamental elements. Instead of approaching the problems with math alone, Jon spends time crafting examples and analogies to make sure students understand the actual building blocks conceptually. That produces an epiphanic experience where we were able to visualize what is happening behind the scenes. The concepts I’ve learned in this class is something I plan to apply to real-world problems and therefore highly recommend this class to anyone who wants to learn about this field.

I am Brazilian and I was working in the business area for 7 years in Brazil, analyzing health and safety indicators, incidents, and some other data to try to get insights and drive some business decisions. I didn’t have any coding background and I was lacking advanced statistics knowledge to help me out on finding insights. So, after reading a lot about data science I started a MBA in Big Data and Analytics here in Brazil but this MBA was not exactly what I was looking for. I needed something more practical with more coding challenges and more details (theory and coding) on machine learning models, etc. With that in mind, I started looking for other courses to fulfill my needs. I ended up finding the data science bootcamp at NYC Data Science Academy, quitting my job, stopping my MBA and...

The motivation in attending a data science bootcamp generally starts with reading testimonials, which are the experiences and thoughts of past fellows. I believe that my experience as a remote participant in the Summer 2017 bootcamp is unique as the NYC Data Science Academy made it live stream to me throughout the bootcamp. This is totally different experience than doing bootcamp online as I was able to join lectures, industry expert speaker sessions, and workshops as the fellows did in person. This was indeed great opportunity for me as I was able to ask my questions during the lectures and seminars and participated actively with my comments. The crucial point here is that live streaming the bootcamp and communicating through Slack channel made it possible for the team at the Academy t...

Going into the course, I was slightly afraid that I would get lost in the mathematical concepts, and may not have the necessary technical know-how. Turns out I actually had a ton of fun with this class. Jon's class preparation goes beyond any educator I have worked with. He is able to illustrate the complex concepts with super-easy-to-understand visulizations and/or videos. When it came to application, he walked us through, line-by-line, all the code, and incrementally built up the complexity.

Honestly, I can't believe we were able to cover convolutional models, recurrent models, generative adversarial networks, and deep reinforcement learning in such a short time. There was ample amount of sample code in Jupyter Notebooks to follow. Aside from that, Jon was just super nice gu...

I attended the Deep Learning course at the NY Data Science Academy that was taught by Jon Krohn during October 2017 - December 2017. Overall it was exactly what I hoped it would be. It gave me a strong foundation of all the core deep learning concepts. The class was hosted on every other Saturday which allowed enough time to fully explore a particular topic between classes. Jon made a particular effort to keep the material simple and explained the concepts intuitively rather than with complicated math. Jon has great understanding of the content and is well prepared for each lesson. I thoroughly enjoyed the class and it has motivated me to pivot my career into deep learning. I would recommend this class to anyone who is passionate about deep learning but don't know where to begin. It is ...

Attending the NYCDSA 12-week bootcamp is the best career decision I've ever made. I came to it after finishing my PhD in math and working for a year in academia. I wanted to get into data science for lots of reasons (leveraging my background, interesting problems, ample job opportunities, interest in coding, good pay, etc.) but after spending six years in graduate school, the last thing I wanted to do was go back to school for two years to learn basic data science skills.

This program allowed me to do this career change quickly without compromising the quality of the material I learned. The program emphasizes sound foundations in coding in R and Python and in both the theory and application of machine learning. The pace is very fast but you learn and do an incredible amount in those ...

TL;DR: The NYCDSA full-time bootcamp is a great way to start a career pivot into data science. The curriculum covers the most important topics in the space; the instructors are accessible and actually care; and you'll get out what you put in.

The first four weeks are python and R basics. These can get a little tedious and heavy on programming, but are important so that you can fly around when doing the more advanced stuff. The next couple are on web scraping, then a few more on machine learning, then some on more advanced topics like distributed computing, time series analysis, and deep learning.

The 3-hour morning lectures are helpful and touch on the most important issues from a high level. The homework assignments (usually every other day) and projects (4 total) are how you ac...

WHY Data Science and WHY NYCDSA: I had no idea about data science until 2016 Feb when Alphago defeated Li Shishi and it was the first time for me to get to know what is Artificial Intelligence and what is machine learning. Bringing my huge curiosity, I self-learnt an online Machine Learning course on Coursera and was able utilize the skill , for the first time, in my working project and had a positive outcome. Being proud of my achievement, I also realized there was still a long way down the road. This is actually the reason why I decided to join bootcamp - fully armed myself with comprehensive data science skillset and then shifting my career towards a new page. NYCDSA is a perfect choice for me as it teaches anything you need to know to work as junior data scientist and allows you t...

I spent my undergraduate years focusing on the life sciences without much formal educational background in programming and advanced statistics. While working as a data analyst my first few years out of college, I gained practical coding experience in R, picking up general programming and modeling experience - even still, I lacked the underlying foundation needed to understand and implement more complex machine learning for my projects at work.

The NYCDSA online bootcamp was the perfect blend of machine learning theory and practical, hands-on projects helping to solidify the lecture concepts. The overall experience was intense: I worked full-time at my day job and spent most of my free time (~30 hours/week) keeping up with lectures, course projects and career development - but got out...

I came to NYCDSA immediately after graduating from college with a bachelors in math and finance. I had been struggling with passing quantitative interviews due to my lack of programming skills. The New York City Data Science Academy helped out sooo much on that end by constantly keeping us busy with lectures, homework, and projects. I was very surprised at how quickly I was able to learn programming in Python and pass assessments and interviews for a number of top hedge funds. There is no way I would've been able to learn as much as I did in as short amount of a time anywhere else. On top of that, having instructors, TAs, and a team devoted to helping me develop the skils and connections I needed was invaluable. After graduating from the bootcamp, I completed a project in Python for a q...

Machine Learning is transforming the world at an incredible pace and I felt it was imperative for me to acquire new skills in order to be professionally relevant. The summer bootcamp fit my schedule perfectly and I decided to enroll to better understand this exciting new field. With a PhD in Engineering from a top-five ranked school and significant background in Computational Materials Science, I felt that I had sufficient background to be successful in the bootcamp. Due to my hectic schedule, I was unable to complete all the pre-work prior to the bootcamp and I believe that this had an impact in my learning experience at the later stages of the bootcamp. In my opinion, pre-work is analogous to binary decision trees—you are trained to be independent weak learners ahead of the bootcamp. ...

I came into NYC Data Science with experience working as a data analyst at several companies and active data consulting work.

At NYDSA, I wanted to spend three months solidifying my existing skillset as data analyst and learning areas that I did not know much about like machine learning and big data. In my jobs, I had previously worked with both Python and R, and appreciated the value of both languages. I also liked that NYDSA wasn't part of some big cookie cutter data science bootcamp chain.

For the first month of NYCDSA when we covered topics like data wrangling, visualization, shiny, and web scraping, it was mostly review for me. That being said, I learned some new tools and tricks, and was able to work on some interesting projects with some help with from our great teachers....

Going to NYCDSA is one of the best decisions I’ve ever made. Data science was completely new to me and I didn’t have a vey good programming background. At NYCDSA, i was able to master both my data science and programming skills with the help of ever-present instructors, TA’s and friendly classmates. The curriculum was well balanced with all important data science topics, lab practices and mandatory individual projects included. In addition, they also had weekly coding challenges and professional development courses which teaches you how to deal with interviews and present your self in the real world. The three months program was intense but is doable if you put in effort and dedication. After the course, the academy also help you with your resumes and get interviews with companies wi...

I am a recent NYCDSA graduate. Before the retrospect. The outcomes first: Know myself better, made great friends, landed a great job within 3 months, came back to the dream land……

My story is a little different. The pre-DSA career is not bad at all. I have had worked for a couple of top companies in the pharma and health industry for several years after getting my PhD. For some reasons, I am always thinking of expanding and tuning my fields. Life is quite dynamic that I recently moved to the east coast and happened to get stresses from various parts of the life. Rather than hanging there, I decided to challenge myself and make changes. I have thought of schools but it is not realistic for my situation. I have studied some bootcamps and visited NYCDSA last year. The people there we...

I have had a very positive experience during and after completion of the NYC Data Science Academy's Full-Time Data Science BootCamp. I chose this particular school because they were the most transparent (the full - and very rigirous ciriculum is available on their website) and the depth and breadth of interview questions from the Data Science Academy convinced me that they take this very seriously - and that this would be a very difficult but rewarding 12 weeks.

To start from the beginning. the application process of the time was rather straightforward - a web application, a short programming assignment, and an interview. Although I didn't have much familiarity with Python or R and had been working in the retail wealth management industry for the past 3 years, my educational backgrou...

What impressed me most about my experience at NYC Data Science Academy (NYCDSA) was that it exceeded all of the expectations I had from speaking with the instructors and researching the program online. The entire team truly went above and beyond and I have only positive things to say about the instructors, the curriculum, and the way the experience changed me personally.

I found the instructors at NYCDSA to be not only incredibly knowledgeable, but approachable, thoughtful teachers. They seemed to really care about each student’s development and regularly stayed late in the evenings to offer help. If they could not be present in person, the instructors were always an e-mail/Slack message away and made it a point to check in with students and offer additional resources. I also liked t...

I would highly recommend anyone who wants to switch career to data science or strengthen data science knowledge to apply NYC Data Science Academy.

Before I joined the Boot camp, two of my close friends already graduated from the program and landed their dream jobs. So unlike most of people who don’t know too much about this program and have to do some research before applying it, I applied the program without a hesitation and also had a high expectation as well.

The curriculum design was excellent and really taught you how to learn new tech skills, frameworks quickly. It could be hard for people who are not exposed to programming or statistics to keep up the pace. Make sure to go through all the pre work and learn basic statistics before attending the boot camp. Once you started...

It is one of my best decisions to attend NYC Data Science Academy. During the bootcamp, I gained more confidence in programming. The coding skills taught are always on trend. Followed by the schedule of the bootcamp, I smoothly transferred my career path into data science. I do not only learned R, Python with corresponding practical, popular libraries in industrial applications but also acquired the ability in quickly learning new skills. NYC Data Science Academy provides students a good platform to communicate computer programming, machine learning algorithms, and its applications. Instructors and TAs are always helpful and patient for students to overcome difficulties in the study and provide supports. At the same time, students could have a blog platform with editing help to present ...

I went into the bootcamp with little more than a liberal arts B.A. and some online self-training. Within 6 months of finishing the bootcamp, I received multiple job offers and landed a dream job on the strength of my data science skills. The employer found me through the NYC DSA job network-- in that sense, the Academy continued paying dividends well after I had finished.

It is hard. If you are willing to devote your time and effort to developing a new skill, you will be rewarded by this program. The instructors and administration are willing to go the extra mile to help you whenever you take initiative. Highly recommended!

Really a good experience learning from NYCDataScience. Initially tried learning online through various MOOC but wasnt able to make much progress. Going to NYC gave me a good structure how to learn Data Science . Definitely you will come out with breadth of knowledge in 3 months which will help you in your career . Experienced lecturers. The only cons i can think of is it goes by very fast so its sometimes tough to keep up with the speed.

How I started

When I started getting interested in data science, I was looking for any online courses/ bootcamp to help me get into the data science world. And I found out NYC Data Science Academy was the best out of all the data science bootcamps in terms of curriculum, and after talked to Claire and Vivian about how they helped students to locate job after the bootcamp, I decided to apply for the full-time bootcamp.

Preapre for the full-time bootcamp-Prework

After I got admitted, I got access to the online prework courses (Python and R introductory courses). I really love how they organized each video and there are exercises following with each part in the video. I didn't know anything about R and Python before, and the pre-work assignments are overlaped with the content of t...

Long story short --

I have a PhD in computational geoscience and worked as a geophysicist in Houston for five years. I joined NYCDSA for the 12-week bootcamp, and worked as hard as I could. I was hired after my first interview, with an offer in hand within two weeks post graduation. NYCDSA has helped me achieve this smooth transition into a brand new field in just 3.5 months.

How I made the decision to join --

1) The time commitment is right: I was willing to put in a few months of my time through well-designed highly-intensive training, rather than spending a year or so to learn on my own. I do not want to go through a one-to-two-year data science master's program, considering a) I have a quantitative PhD degree, and b) although many data science theories have been long esta...