NYC Data Science Academy

I am really enjoying taking the NYC Data Science Academy data science bootcamp remotely. I find their online classroom and materials very effective for learning the fundamentals of data science. The videos are very informative and the material well communicated and taught by the lecturer. The accompanying slides are clearly written and mostly self contained and you can learn a lot, just by reading them. The course is a nice blend of theory and practical programming experience using R and Python and other tools.

The learning process is aided by doing and submitting the homeworks for the lecture materials, as well as completing project assignments.
I interact frequently with the TA assigned to me. We often have Google hangout sessions where he helps set up my environment on my laptop like Git, R and Python. We also review my project assignments through Google hangouts where he provides valuable feedback and suggestions. The TA is very helpful, competent and knowledgable.

I would definitely recommend the online version of this bootcamp.

I attended the 12-week bootcamp this past summer and had a great experience overall. I was able to build a solid portfolio of data science projects and got a lot of job search support. The curriculum assumes a basic level of statistics knowledge so for someone like me whose background didn't include any it could be frustrating at times. However, they are serious about student feedback so I believe the course will only continue to get better. You can expect to put in a lot of work but as always what you get out depends on what you put in. Ultimately I landed a job I'm very excited about, and I had a positive experience with the course, instructors, and fellow students so I would definitely recommend it to anyone interested in a career in data science.

Now I am going to start my new career as a data scientist.  I would like to share my 2 cents for this bootcamp and hope it would be helpful for the coming students.  Also I hope through those suggestions, you can have an idea about the bootcamp.

1.  Be open - This is a boocamp, not a usual school class or an online course.  So share your experience and expertise with others.  You will learn much more from each other.

2.  Be in a hurry - This is a short bootcamp, whereas it covers a LOT of content.  So be ready to work hard.  You need to have a sense of urgent that you are going to jump into interviews after 3 months.  Without your own hard working, it is hard to achieve the success after the bootcamp

3. Be brave - This is a hard bootcamp.  Some students slept less than 6 hrs per day for three months.  Does it sounds scare?  However I would like to say that be brave, after learning with others, you will see your shining point and know how to show your merits to others.  So be brave to take challenges and be brave to share with others.

4. Be collaborative - I hope after the bootcamp, you are not only getting a good job(s) but also getting a lot of friends.

Enjoy the bootcamp,

I attended the Data Science Bootcamp in summer 2015. It was a very enriching, useful and enjoyable experience. It offered plenty of important things that one couldn't hope to find by taking online courses or reading textbooks. The instructors possessed valuable knowledge and perspectives in the data science industry, and were able to share them with the students through various activities (e.g. lectures, invited talks, meetups, company visits, individual counseling, etc.). Also, students had a lot of opportunities to interact with established data scientists, as well as collaborate with fellow aspiring data scientists on real-world projects.

I took both Data Analysisand Machine Learning with Python with Vivian.

I highly recommend these classes to anyone who wants to take their analytics skills beyond Excel, pivot tables, and averages and into more advanced predictive modeling methods. Luckily, a lot of the work has already been done for us by the developers who created pandas, matplotlib, statsmodels, and scikit-learn. I didn't know anything about these tools prior to taking this class. Vivian makes machine learning easy. At work I can now stand on the shoulders of Python's giants. Pretty cool. Extremely useful.

Great course so far! 4 weeks in and we've learned version control with Git, mapping in CartoDB, visualizations with D3, and machine learning, stats, and programming in R.

We've also gotten to network with Data Scientists at Google and Enigma and we'll be featured on Interview Jet in a few weeks!

Smart students and interesting projects are generating many strong portfolios for students. I don't think think any will have trouble finding a job when this is all over.

NYC Data Science Academy is a great choice for anyone looking for a bootcamp.  They look for students who have a science / engineering/ math background, but they don't require a PhD (though scholarships are easier to get for PhDs).  This school really distinguishes itself partly because of the emphasis on R.  People skilled in R command the highest salaries - and for a reason.  It is the gold standard for data manipulation and for all the most cutting edge algorithms.  I looked all over for a program that taught R (as well as Python) and NYC Data Science Academy is the only one I found!  Bootcamps are 12-weeks long and cover everything a data scientist needs to know to be up and running upon graduation, included R, Python, Hadoop, Raspberry, and much much more.  Vivian Zhang, the primary teacher and founder, is a great data scientiest, statistician, programmner and teacher.  She's also a great person.  Much of the emphasis is on preparing people to get jobs in data science and there is a lot of support in recruiting - including relationships with  firms Vivian has done corporate training for and partnerships with several recruiting firms.