NYC Data Science Academy

Thank you to Jon Krohn for his approach to teach the lectures and for all his systematic organization of all his materials. Also, for being very attentive to the questions and trying to get back with the constructive help ASAP. And a bit of a personal impression: the mashine vision part of the course was better prepared with the interesting and easy to get examples whereas the NLP part could have been more elaborated, but it is by default the case if you compare these two areas. But, knowing how easy Jon was able to organize the steps for the first noticed I trully believe it is just a matter of a few more thoughts for him and his Co. It may be also true that one more day of classes would be very nice addition to cover the materials better. The other missing thing was a simple example o...

I am very glad that I took the decision of joining NYC Data Science Academy to pursue the field of Data Science. The 12-week intensive program equips you with a strong and solid foundation for Data Science, even if you come with no background in data at all. The staff is easily approachable and highly knowledgeable. The academy makes sure that you have a good experience to showcase at the job interviews through four different projects (one of them being a live project, solving a real-world business problem for a company). The academic setup which includes instructors as well as TA's is excellent and ensures that you have required support and guidance at each and every step throughout the program.

They have a strong professional network and even hold a hiring event towards the end of ...

I took the Deep Learning Course from July - August 2018. This is a part time course for 5 weekends. Jon Krohn is an amazing instructor. I am a Web Engineer and have zero to little idea about Deep learning. For me to sit in class and not be intimidated by the course and fundamentals of Deep learning is a testament to Jon's teaching. The course is a really good starter kit for anyone looking to get into Deep Learning and AI in general. There is some knowledge of python that might be useful to have prior to taking this course as there are many live exercises worked on python. You will be given an opportunity to complete a project during the course which I suggest you do as it will make you apply the skills you review right after class that will make learning the concepts more enjoyable. Al...

A very good place with super knowledgeable staff. Highly recommend.

Attending NYC Data Science Academy is one of the most important and accurate decisions I have made in my life. The academy provides strong training on statistical and machine learning theory. Coupled with 3 real-world problem solving projects and 1 business-oriented capstone project, I gained hands-on insight on how data science address business demands.

With software engineering background, I always want to relate my software knowledge to solve business problem. I believe the training at NYC Data Science Academy help me step forward my career path closer to what I want to achieve.

I wish I can attend NYC Data Science Academy at a much earlier date.

The bootcamp program of NYCDSA is designed to take the skillset of every student to the next level regardless of the preliminary expertise. Covering basics of R and Python during the pre-work and first month of the bootcamp follows by a deep dive into the essence of every popular machine learning algorithm, as well as implementation details and caveats in both, R and Python. The understanding of these caveats combined with more common knowledge will facilitate and ease the continuous learning and career advancement for years to come. It is important to note that to get most out of this bootcamp, full dedication is required.
Anyone who is serious about having career in data science and willing to do the hard work to make it happen should seriously consider this 3-month program. The m...

NYC Data Science Academy was essential in helping me to make the transition from a career in academia to the field of data science. It is a very intensive course that is filled with statistics, coding, machine learning, natural language processing, big data, and other topics. Frankly, there were too many topics for me to apprehend while the bootcamp was running, but one of the great features of the course is that you are able to go back and review key lectures - which I periodically do as my understanding of the field deepens. Another great strength of the curriculum is that you are exposed to a variety of instructors who have different backgrounds and approaches. I can think of distinctive strengths for Drace, Aiko, Luke, and Zeyu in their presentation and shared perspective. Vivi...

I have a background as software engineer and business intelligence developer and I decided to get into data science as well to complete my skills. I began reading books and doing MOOC courses beside my regular job, but it was difficult for me to make substantial progress. So, I decided to participate in the 12-week Data Science Bootcamp. It was a great experience which fulfilled my expectations. Of course, you can’t learn everything about data science in 12 weeks, but you get a solid foundation that allows you to put your own data science projects into practice and to specialize yourself in various directions. If you don’t have the time/money/motivation for a university degree this course is a great option.

I had a truly rewarding experience at NYCDSA. The staff is approachable and friendly, and the material is relevant for a wide range of data professions.

The program really opened doors to several opportunities for me and the staff sets time aside to help you position and present yourself well for job interviews. I accepted a job from one of NYCDSA's hiring partners, and felt very well prepared for the interview process. Five stars!

Side note: One recommendation I have for those less familiar with coding (which I was), is to embrace the "have you tried googling that?" culture within Data Science and programming as a whole. While the tendency at a supportive bootcamp is to ask your instructors how to debug a line of code or build an ML template, more often than not the answer is a ...

I highly recommend NYC Data Science Academy to folks driven to pursue a data science, analysis, or engineering career. I participated in the 12-week onsite bootcamp with the Spring 2018 cohort and can attest to NYCDSA helping graduates land roles in each of these areas.

There are two reasons that NYCDSA was the right fit for me to jumpstart my career.

First, I was attracted to the academy’s strong regional network and job placement support. Vivian and the NYCDSA staff are responsive to your career interests and will put you in touch with relevant folks in the field. In addition, the NYCDSA curriculum is continuously re-evaluated for relevance. While NYCDSA helps bridge a career transition, the challenging task of skill acquisition and evaluation is on you!

Second, I wanted to...

I appreciate all the hands-on projects/assignments opportunities which I did during the data science boot camp. It really gives me chances to apply the machine learning theories to real-world problems. Also, the team is supportive. The teachers, teaching assistants, career coaches are very helpful and experienced. I greatly enjoy joining the boot camp at the NYC Data Science Academy.

I attended the 12 week in-person immersive bootcamp and am very happy I did. I have a PhD in pure math (no computers, no numbers, so my coding experience was limited to "having fun" with Python) and spent my first 2 years post graduate school working at a hedge fund (in a non-technology role) and wanted to get into data science and engineering. I genuinely believe that with enough personal motivation and drive a bootcamp is the most effective and efficient way to go from 0 to 60 in this field (note that "attending" and "absorbing" at the bootcamp alone is not enough - the drive, time, and energy ultimately must come from you - they can only set you up for success).

At the bootcamp I learned the essentials of SQL, R, and Python - not just the important packages like Numpy, SKL, etc....

The curriculum of NYCDSA bootcamp is great and well-designed. In the first four weeks, you will learn Python, R and SQL which will lay a solid foundation for your data science learning. In the next four weeks, you will learn a variety of machine learning models. In addition, they will teach big data tools and deep learning.

The instructors at NYCDSA bootcamp are excellent as they all have deep knowledge and significant experience in data science. They make complex concepts and skills easy to understand and master. The instructors teach classes in a good pace and often pause to answer any questions that students ask in class. After class, if you have any questions, they will also try their best to answer them.

During NYCDSA bootcamp, four projects will be offered not only to improv...

Python was my forth programming language I started learning. Anthony is a great instructor and he did a wonderful job explaining my and other students mistakes during the course. It was very nice that Anthony encouraged students to ask the questions anytime during the class. The course covered very broad range of topics and we did many challenging exercises in class and as homework. I will definitely recommend everyone to take this course, if they want to learn Python from scratch and prepare to learn more ways to work with Python in the future.

As a Math major interested in Data Science, I've benefited tremendously from this course. Tony is a structured, detailed instructor. The course materials are practical and handy; and the lectures were helpful in both understanding the materials and honing up a programming mindset. I walk away from this class, feeling ready for challenges in my future job. I would strongly recommend this course with Tony to anyone who is new to programming and wants to have a head start.

I am extremely happy with my decision to attend this boot camp. Before this, I was very uncertain about what I wanted to do as a career path and never thought I would want a job that involved coding. With the excellent teaching, support, and guidance of NYCDSA staff and teachers, I found my passion. Within 3 months I gained skills in Python, R, Github, and SQL. Not many boot camps teach both R and Python, therefore this gave me a leg up against other people in the job market.

I graduated college with my Bachelors of Science in May of 2017, while many of my cohort-mates had a Master's or Ph.D. and had been working for numerous years. For this reason, I did not believe the boot camp was for me. It is not an easy course, but with hard work and dedication, it can definitely be done. I fe...

I am extremely happy with my decision to attend this boot camp. Before this, I was very uncertain about what I wanted to do as a career path and never thought I would want a job that involved coding. With the excellent teaching, support, and guidance of NYCDSA staff and teachers, I found my passion. Within 3 months I gained skills in Python, R, Github, and SQL. Not many boot camps teach both R and Python, therefore this gave me a leg up against other people in the job market.

I graduated college with my Bachelors of Science in May of 2017, while many of my cohort-mates had a Master's or Ph.D. and had been working for numerous years. For this reason, I did not believe the boot camp was for me. It is not an easy course, but with hard work and dedication, it can definitely be done. I ...

I took the intensive 12-weeks bootcamp at NYC Data Science Academy. I am a postdoc in India. I had been writing graph algorithms for social network analysis, analyzing data using MS-Excel and mining data using graph theory. I decided to make a transition to industry.

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 so that I could learn both R and Python within three months. But, I learnt more than I thought. I gained hands-on experience in Python, R, SQL, Spark, deep learning, Hadoop and Hive.

The materials are technically sound for job interviews. Many experienced professors and industry professionals design and teach the materials. The course laid a solid foundation in data science. T...

I attended the 12-week data science bootcamp right after graduating from college with an engineering degree. I highly, highly recommend this course for anyone with some coding/stats background looking to work in data science or machine learning. I'll note what I believe are the most important features of the program with bullet points so it's easy to read:

The course is rigorous but not overwhelming -- if you put it a lot of work you will get a lot out of it, and there are a lot of TA's, classmates and teachers to help if you need it.
The coursework is oriented towards practical application in the real world. This is what stood out the most to me in contrast to my undergraduate education. The teachers at NYCDSA do a great job of teaching the theory and then explaining how concepts t...

My career before NYCDSA was one without numbers or Excel spreadsheets; past me wouldn't have dreamed of touching complex data modeling algorithms or cloud computing infrastructure. If you're like me, you probably are expressing some hesitation at how much a 3 month bootcamp can give you, especially when you're competing against graduates in STEM fields for a quant position.

No fear, though! NYCDSA gives you precisely what you need to succeed in today's competitive data science job market. During the bootcamp, you'll become well versed in almost all the standard tools and methodologies that data scientists use to do their jobs. While the curriculum isn't perfect (I definitely thought some days and sessions were on superfluous material, e.g. too many days spent on web scraping, and way...