NYC Data Science Academy

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...

The 12-week data science bootcamp is a highly useful experience both for people looking to transition into data science and those who seek to expand their skills set in their current field. A core dimension of the program is exposing and drilling you in a range of technologies that are very sought after on the market for data scientist/data analyst/quantitative analyst positions, spanning fields from tech, finance, healthcare, marketing, research etc. On this front, a distinguishing feature of the bootcamp is that you work in both either R and Python as primary languages, so that you become proficient in both languages by the end of the bootcamp, which is very valuable. Besides these languages, the bootcamp also teaches staples of database, file management and version control like bash,...

I was a postdoc at Duke University (Engineering) and my background is control and optimization. I participated NYCDSA Online Data Science Program (10/2016 - 02/2017).

NYCDSA online video lectures have a very high quality. I found that the well-organized class material and lecture notes very helpful to prepare for data scientist job interviews. I can review the material repeatedly until I am ready for the interviews. Also, everything I need to pass a data scientist job interview is covered in the program, which can certainly facilitate my interview preparation.

Vivian and the entire NYCDSA team are extremely helpful for data scientist job searching. From resume/cover letter revision, coding practice, to data scientist technical interview preparation, NYCDSA has enabled me to make a...

Going to NYC Data Science Academy is a decision I don’t regret for a second. These were ones of the most challenging 3 months but well worth it. I learnt a lot and got a lot of support that I would not have gotten anywhere else.

As long as you are ready to put in a lot of sweat, hours and effort, you will be successful and do extremely well because you will always get the support of the TAs, staff and fellow students. You are surrounded by a bunch of smart people and TAs who are here to support you and help you grow.

The fact that NYC DSA selects students with a Masters or PhD degree is a big plus because you end up working with people from whom you can learn tremendously. Their experience and background make the bootcamp that much more interesting.

The curriculum is solid and...

Going to NYC Data Science Academy is a decision I don’t regret for a second. These were ones of the most challenging 3 months but well worth it. I learnt a lot and got a lot of support that I would not have gotten anywhere else.

As long as you are ready to put in a lot of sweat, hours and effort, you will be successful and do extremely well because you will always get the support of the TAs, staff and fellow students. You are surrounded by a bunch of smart people and TAs who are here to support you and help you grow.

The fact that NYC DSA selects students with a Masters or PhD degree is a big plus because you end up working with people from whom you can learn tremendously. Their experience and background make the bootcamp that much more interesting.

The curriculum is solid and...

I had been in the 12 week data science bootcamp last year summer, which changed my view to myself about leaning data science. It was a big challenge for me at that time as I had little programming experience. Although the course was extremely intensive, the tutors and TAs were very helpful and encourage us to find a way to achieve the goal. Also, I believe that the course are very comprehansive and good for someone who really wanna find a related job in Data Science industry. Now I am studying Master of Data science in University of Rochester. My experience in the 3 month bootcamp, defenitely increased my chance to be admiited. I would like to say thanks to all of them who helped me at that time and make me ever stronger.

I can’t begin to describe how inclusive, rigorous, and rewarding is New York City Data Science Academy’s Data Science Boot Camp. It is inclusive in the sense that those applicants it admits are not exclusively from among statisticians, mathematicians, and computer scientists. Professionals from other disciplines who recognize and appreciate the importance of a more structured, quantitative approach to business comprise a significant component of each boot camp cycle, providing context, breadth of experience, and real-world application to the data science discipline. In turn, they benefit from the experience and capabilities of their classmates specializing in more technical disciplines.

The boot camp program is rigorous in that it demands broad competence not just in a single languag...

NYC DATA SCIENCE REVIEW

Overall:
100% YES!!! I wholeheartedly recommend NYC Data Science Academy! If you want to switch into data science, the bootcamp will help you land your dream job. I got an internship offer shortly after the end of bootcamp(~2.5 weeks) through the bootcamp’s hiring partner event, and recently became a full-time data scientist at the same company. All of this would not have been possible without the help of NYCDSA!

Full Review
When I was reading through bootcamp reviews, I personally thought it was more helpful to find people of similar background as mine and see how well they fared. For instance, knowing that people with only bachelors degree attended NYCDSA and got data scientist jobs helped to not only inspire me, but also to set realistic expectations...

I attended the January-March 2017 boot camp of the New York Data Science Academy. It was the most densely packed and learning filled 3 month period of my life. NYCDSA has the right balance of theory and practise built into their curriculum.

Projects were fun and challenging. Instructors and TA's with expertise in both coding and statistics were available round the clock. I personally asked for assistance on many topics and was more than satisfied with the help. Staff's knowledge about theory and real world applications blew my mind.

Please be warned that this program is not for the faint of heart. You need requisite programming and stats knowledge to know what's going on. Even with the requisite experience, students consistently put 10-12 hours per day to stay on top of all the m...

Honestly one of the best decisions I’ve ever made. Yes it’s a reasonably difficult course, but if you are truly interested in data science you enjoy every second of it. Like anything, you get out what you put in. If you’re ready to work as hard as you need to in order to master this wealth of knowledge in 12 weeks, this course is 100% for you.

The instructors and TAs are excellent, all accomplished data scientists with a wealth of skill and knowledge. The resources, from slides to code examples and practice questions, are things I will continue to use throughout my career as a data scientist. There is ALWAYS more to learn in the field of data science.

If you’re thinking about going because you simply want a pay raise, then don’t. The course is relatively difficult, and if you aren...

I was enrolled in the NYC Data Science Academy full-time bootcamp during 1Q17.

I found it a very good programme to enhance my computer science skills, particularly in the fields of EDA (exploratory data analysis), machine learning and web scrapping. In my case it was a very good way to upgrade my skill set and enhance my professional profile (originally finance field).

Positives:

- The program materials are very good (theory and exercises) allowing to properly study the syllabus and find the right balance between theory and practice.

- The school staff is very close and dedicated to the cohort and always looking for feedback to improve the experience.

- I am more a "lone wolf" type of person but I found useful to be forced to cooperate in one project with other team mat...

I took the Data Analysis and Visualization course with Tony this summer. I find the curriculum to be solid, constructive and highly applicable to the kind of analysis I will be doing at work. I would suggest that students come in with a little coding background though, otherwise the class may be a bit too fast-paced. Tony is a great teacher - he is able to explain concepts as well as technical nuances at a very fundamental level. He clears up confusions well and makes coding less intimidating. I highly recommend Tony's class!

I took the Data Analysis and Visualization class this summer with Tony Schultz. Tony is a very knowledgeable and amazing teacher. His classes are never boring. Moreover, we had an extra hour sessions to review our homework. In general, the class is designed the way it it accessible to everyone with any background which is a big plus. I strongly recommend taking this class to anyone who wants to learn Python the right way.

Tony Schultz is a passionate and approachable instructor that goes well beyond teaching general Python syntax. He moves efficiently and fluidly through the basics and then deeper into some more advanced topics including Numpy and Pandas. It is a content packed course in which he integrates his background in physics and statistics brilliantly and is able to showcase his strength of real-time problem solving. Tony went out of his way to setup additional sessions and make himself available for extra time as needed by the class. It was pleasure having him as an instructor and I would not hesitate to attend or recommend any of his future classes.

I took two classes with Tony Schultz for Intro to Python and Python for Data Analysis/Viz. This class is appropriate for people who would like to get a start on learning python. I came away knowing enough to do some scripting for my current job and to continue learning other aspects of the program on my own. Tony is very approachable, patient, and teaches the course that is very good if you are beginner. I just completed a weekend course that was each 4 hours long over 6 weeks. He was able to pack the dense syllabus into the allotted time slots without missing a beat.

I recommend NYC Data Science Academy for those wanting to learn python but have a hard time picking it up independently.

Am writing this review for students coming into the program as to know what they are signing up for. Firstly dont get biased by the Data Science hype there are tons of people flooding into the space from all directions. Secondly do serious research to know if you really are going to be able to recover the money and time spent.

Pros:
-Good structured course content
- You get to taste both R and Python

Cons:
- None of the teachers are experienced enough in Data Science field to be able to firstly give you in depth knowledge to be able to build the foundation in Data Science and nor can they give real time industry application knowledge. I heard there were good teachers but they left due to some conflict. Vivian and Aiko are the only teachers who have some knowledge but Vivian won...

I recently took the 5 week "data analysis and visualization with python" course with Dr Tony Schultz. The course starts with a quick review of main concepts in Python (data structures, functions, control flow, exceptions handling, etc) and then moves on to some more advanced topics such as classes, objects, inheritance, string operations, file handling and regular expressions. In week 3 and 4, Numpy and Pandas packages are explained in detail and finally the course concludes in week 5 with visualization packages matplotlib and seaborn. Tony is an amazing instructor. He re-wrote many of the materials used in this course to make sure all material are continuous and cohesive and easy to follow from beginning to the end. He is very approachable and easy to talk to (both in class and thr...

Well lets see, I basically went from the lowest rung on the ladder to a data scientist making 6 figures with multiple big name companies chasing me.

In 20 weeks (4: pre work, 12: course, 4 job hunt) I went from someone who couldn't write 'Hello World' in python to a full blown Data Scientist, making six figures, with multiple companies vying for my interest.

What you should know:

You will get as much out of this course as you put in. I had many, many days where I was working well past midnight and back in class by 9:30am. You learn how to learn, which is THE skill required for any coding job. The curriculum is intensive, and a lot of times I couldn't totally complete the homework without checking for answers from my peers (and that's okay!). In the real world, much of your jo...

I started working in the financial industry in 1998 and have had roles in IT spanning development and production support. I attended the NYC Data Science Academy bootcamp during a three month sabbatical from work and it was a worthwhile investment. I have gone back to work to a new and challenging role that allows me to apply my new found skills (such as data exploration, visualization, and analysis for decision making) as a production support manager for an ultra low latency and algorithmic trading platform at a top financial institution.

What did it take for me to achieve success at the bootcamp?

My three months at the academy was intense. I had a strong support system at home and at the school. My instructors and TAs were smart, caring and invested in my development every step ...

I studied mechanical engineering and physics for my undergrad at a top university and work in product management with a focus on search. I took this class to satisfy a personal interest in the subject matter and familiarize myself enough with the fundamentals of machine learning to be able to explore the field more deeply on my own. I was also motivated by a career interest: the subject matter is highly relevant to my domain, and I feel that developing an understanding of the concepts and how to deploy them myself will make me better at my job long-term. Prior to enrolling in the class, I spent roughly 8-10 hours learning R and felt sufficiently prepared (I had some previous programming experience).

In the end I was extremely happy with this class (Machine Learning in R on Saturdays,...

1.12 weeks' course with machine learning, spark, hadoop helped me solve almost technical interview questions. Also introduce several latest and popular topic, such as NLP, Deeplearning (CNN) and tensor flow.

2. This bootcamp faces people with different backgrounds, who can choose between "how to use machine learning" and "how to implement the machine learning(more math). TAs helped a lot if you wanna learn more advanced level.

3. Chris and Vivian helped prepare resume and the interview practice, and the hiring partner event was very helpful to present myself to the hiring managers directly.

Great appreciate!

Took the weekend course for Machine Learning with R. Course was very helpful in helping me understand the basics of Machine Learning and different models. My instructor was Luke Lin. He was very helpful and would spend enough time covering each topic. He even took an additional class because he didn't want to rush through the material. Overall I am quite satisfied with the results. Would recommend Luke to anyone else who is interested to venture into Machine Learning field.

I took the DATA SCIENCE WITH PYTHON: DATA ANALYSIS AND VISUALIZATION (WEEKENDS), with Aiko Liu. It was a well-designed course that moved quickly through key concepts. While most of the examples are taught of the standard datasets, the concepts are easily transferable to your area of expertise/focus. I found the examples to be very helpful and the amount of ground covered impressive. Aiko was very responsive to my questions via email despite having a busy schedule. I have since transferred many of the skills learned in class to my job, streamlining many tasks in the process.

Overall:
I will recommend this bootcamp to anyone who is eager to learn and have great passion towards data science. Before I attended the bootcamp, I received my master degree in marketing from school. I did not have a lot of math and coding background back then. With my passion towards data science, I decided to take a deep dive and applied for the NYCDSA’s 12 weeks bootcamp. Due to my limited coding background, they did not accept me at the beginning, instead, they provided one month prep course for me to get prepared for the bootcamp. I attended the September cohort after the prep course. It was one of the best decisions I have ever made. With the extensive knowledge and training, and great support in job assistance, I am able to land my dream job in 2 months after bootcamp.
Cur...

I took the DATA SCIENCE WITH PYTHON: DATA ANALYSIS AND VISUALIZATION (WEEKENDS), with Aiko Liu. Aiko is an excellent teacher, who taught methodically and progressively. The course was extremely well designed, and elevated my skilset by building my understanding step by step in a structured fashion. I would highly recommend the instructor and the class if you want to truly develop a solid foundation to build your skills on.

I graduated from a USNEWS top 10 university, was admitted by several top 5 PhD programs. During my free time, I took this institution's boot camp to boost my empirical research skills. To be honest, I was amazed by the excellence of this boot camp. The coursework is carefully designed and perfectly delivered in a highly effective fashion. The faculty here actually care about their students and are always there to help, no matter whether it's a question on the courses or on career development. Also, Vivian personally designed a significant part of the lectures, and the content's logical flow is so clear that it makes me think it's a great pleasure to read them. In addition, the program provides great help on job/intern placement. I got a hedge fund internship opportunity in two weeks bec...

Preface:
I attended the July cohort and was then a Data Science in Residence at the NYCDSA prior to accepting an offer for a Data Scientist role at a consulting firm based in NYC. I will do my best in this review to be as straightforward about my experience and address a lot of questions I had prior to the program and have understood a lot of incoming students to have had through prepping them for the program. 
My Overall Opinion:
Lets start with this: get over your hesitation, take a leap of faith, and you surely will not regret your decision to attend the NYC Data Science Academy 12 Week Bootcamp. Whatever reservations you have, you are not alone; almost all graduates have felt that prior to attending the program. You may be wondering about if this program will really teach me the ...

I was searching for a good Data Science bootcamp program online to further my career until I found this one. Since I'm working, I can only take the online bootcamp.

The program is really high standard. What I mean is the contents are really very in-depth. They don't just teach you how to 'write code', they also teach you the algorithm behind those code. Also the exercises are no joke. It was fun learning form those videos. And a better thing of doing online bootcamp is that you can pause, search some supplement material and keep going. And you can always go back if you feel you need to review.

You will need to complete 5 projects to graduate. And those projects are actually hard and you can definitely add it into you resume.

Overall, I think it's very worthy of your time and mo...