NYC Data Science Academy

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

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.

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!

Overall, I had a great experience with NYC Data Science Academy (NYC DSA). I was part of the fall 2018 bootcamp cohort. Specifics regarding the different components of my experience are listed below: 

• Recruiting: I found the alumni interviews and reviews on the website to be extremely helpful. Because I was not coming from a statistics or development background, it was great to see success stories from people who had similar educational backgrounds and work experience. During the interview process, the recruiting contacts were extremely helpful, welcoming, and engaging, which made my experience much better than the more ‘transactional’ feel that I received from other bootcamps. Another key factor for me choosing this bootcamp is that NYC DSA allows you to complete the pre-work after you have been accepted.
• Curriculum: The curriculum gets very difficult very quickly, especially for those that have little experience with coding and statistics. For someone coming from a more business-facing background, it does require significant work and time to get up to speed throughout the entire bootcamp. NYC DSA does provide all materials (i.e., lecture recordings, lecture slides, homework solutions, theory reviews) online, so it is a good resource for those that need to self study outside of class.
• Staff Engagement: Leadership individuals from NYC DSA’s program are very personable, open to questions, and receptive to feedback. They are very open to revising the curriculum based on suggestions, which I found to be refreshing compared to other educational programs that I have been a part of.

I have a technology / business consulting background and I am continuing with the same career path after the bootcamp. It was a great experience to gain deep exposure into AI and machine learning; even though I will not be acting in a true Data Scientist role, this is the type of experience that I will use regularly while working on data-focused projects and initiatives.