NYC Data Science Academy

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...

Since 2002, I had served as a wireless communication system design engineer for S****** Electronics, where I have developed optimal solutions based on the analysis, simulation and modeling of filed data and system features. One of my latest works was finding adaptive solution for fast tree search avoiding local minima and maxima.

To boost up my skills and map into diverse field, recently finished an immersive data science boot camp where I completed four projects including machine-learning projects where I deployed predictive models using extreme gradient boosting, random forests, support vector machines, and logistic regression. Work experience on a data science project - Capstone project - for a big CPG company was a huge benefit as a data scientist. As a team, we analyzed product...

I could not be more satisfied with my experience at NYC Data Science Academy. I met incredibly impressive and interesting people, learned more than I ever thought I could, made friends, and worked very hard. Within a few weeks after graduating, I was offered my first full-time job as a data engineer. (I do not come from a CS, math or stats background).

NYCDSA is very successful at getting their students fluent in the tools and technologies of data science, and prepared for finding great jobs in the field. The bootcamp is exhilarating, and the people are truly the best. By the end, you will be ready to for a data science position, and you will have broadened your horizons.

NYCDSA's curriculum covers everything you need to succeed in the data science industry. The boot camp was hard, but this prepared us well to what the job market expects from a data scientist. They also mentored us on how to deal with potential employers, giving us an edge versus other job applicants.

The boot camp also gave the opportunity to make friends with people with the same level of interest and passion in data science. I think this will eventually develop into real life friendships and will prove to be valuable connections as you go through your career as a data scientist.

I attended the Winter 2018 immersive boot camp at NYC Data Science Academy, and I highly recommend this academy.

I come from a mathematics background with nearly zero experience with data science, and prior to the boot camp I only know how to program with MATLAB. (MATLAB is a registered trademark of The MathWorks, Inc., i.e., it is a serious commercial software not to be treated lightly.) I studied partial differential equations of mathematical physics, a subject intense in theory and numerical computations but very little to do with data business. Upon finishing the boot camp, how do I feel? At least now I will not embarrass myself when handling data/coding challenges with R and Python, answering machine learning questions, etc. for job interviews. Yes, I did get job placement withi...

I attended the Winter 2018 immersive boot camp at NYC Data Science Academy, and I highly recommend this academy.

I come from a mathematics background with nearly zero experience with data science, and prior to the boot camp I only know how to program with MATLAB. (MATLAB is a registered trademark of The MathWorks, Inc., i.e., it is a serious commercial software not to be treated lightly.) I studied partial differential equations of mathematical physics, a subject intense in theory and numerical computations but very little to do with data business. Upon finishing the boot camp, how do I feel? At least now I will not embarrass myself when handling data/coding challenges with R and Python, answering machine learning questions, etc. for job interviews. Yes, I did get job placement withi...

Good school!

Course was well outlined/organized, and was relaxed enough to facilitate learning. If anything, I wanted more homework to practice on!

Tony Schultz was very personable, helpful, and encouraged questions. Most importantly, he was very clear in explaining new concepts, and demonstrated multiple ways to approach a problem.

I've taken classes at General Assembly and MUCH prefer NYC Data Science Academy over it. Highly recommend NYC Data Science Academy, and will be taking more courses here soon.

It is a fast paced course. Five weeks of 4 hour sessions but two of them start an hour earlier to go over homework. There isn't so much as a bathroom break so exercise caution with oversized drinks. But in all seriousness it was a very professionally run course. The instructor Anthony Schultz kept things very engaging. His energy didn't waiver or segue into something irrelevant. Anthony was also highly available. He was there early before class to answer questions and available after class as well. He was even responsive to questions I had about the homework pretty quickly. I would recommend taking this course. I found it fun. At the end of the day you really get out of the course what you put into it.
The class size was small for my group- maybe 10 or so students- which was nice. I ...

The Intro to Python course was a great. In just a few short weeks, we were equipped with the knowledge to start manipulating data as well as troubleshoot programs. The instructor was amazing, and was able to provide great examples to solidify what we were learning in class. He was very careful to explain the multiple ways in which you could accomplish a task, but which methods were more robust (required less code, were more efficient, were more flexible, etc.). I highly recommend this course and Tony!

This course was well designed, going over essential Python packages and how to use them in practical applications. Highly recommend this course to anyone wanting a good structured start into coding in Python!

I am very satisfied with my decision to attend NYCDSA 12 week boot camp. I just graduated with a bachelor’s degree in Bionengineering and minor in Computer Science. During my last year of undergrad, I found data science to be a challenging and interesting career path to get into but I did not have much hands-on experience.

I researched a number of data science bootcamps but I chose New York Data Science Academy because of the rigorous curriculum taught in Python and R as well as the impressive credentials of the instructors.

The program is challenging, incredibly fast-paced, but very rewarding. There is pre-work material before attending the bootcamp, which helps to solidify coding fundamentals. The beginning of the program reviews those coding fundamentals and then dives straig...

The course was well structured, taught me very useful skills and Tony was really helpful when I had any questions.

I highly recommend this course! Tony is an excellent instructor and the course/materials are very well organized.

I looked forward to the course and Tony did a great job teaching us. I love the examples he uses.

For those looking to break into the field of AI/Deep Learning - I highly recommend this course as the starting point, andthe initial stages of your journey. Although I had previously studied the theory and learned to build DL models on my own — I still thought it critical to establish a solid understanding of both the theoretical and practical knowledge necessary to build the best deep learning models I could.

I was a student in Jon Krohn's Deep Learning course in March 2018. Building a foundational base in DL was what I was looking for from this course; and it was what this course delivered. You will touch all the core areas of DL, from feedforward neural nets to RNNs, CNNs even GANs and RL all while covering applications such as computer vision and natural language processing...

NYC Data Science Academy has been a wonderful resource for acquiring the data science tools required in the workplace.

NYCDSA's greatest strength is their commitment to matching graduates with Data Science positions. Every step of the process was geared towards that goal: including practical projects with real-life company data, extensive job-hunting coaching, and seminars, and continued job assistance after graduation.

I completed the deep learning course offered by NYDS in April 2018. Course curriculum provides a solid understanding of core theoretical concepts and their practical applications. Best part about the course was that latest papers/ research work (as resent as Jan 2018) were discussed by Jon Krohn who also shared his experience and best practices. Would strongly recommend the course for anyone who has some background in data/programming related work and wants to break into deep learning.