NYC Data Science Academy Reviews
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Jiaqi L
Weekend R course (with Amy Ma)
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I really enjoyed the R course with instructor Amy Ma. The content is very practical. It can be directly applied to solve real-world data analysis problem. We had many in-class coding exercises, which helped us understand the R syntax.
Also, Amy tried her best to provide a lot of useful resources. We could tell that she is very passionate about what she is doing, and she is patient with students. We could reach her after class through email, even the course was finished. I highly recommend this course to anyone who is interested in data analysis and wants to learn R from the beginning.
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Iris Huang
Review on Amy Ma's R courses
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I really enjoy taking the R course with Amy Ma. She's patient and thorough. Her analogies made it easier for me to understand the R syntax. I really like the in-class coding exercise and it was good to practice what I have learned. Amy's class is very interactive. She doesn't just talk off the slides. She always codes with us and shows us different ways of doing the same thing or breaking down the code part by part. She would compare and contrast the nuances between different commands, which was quite helpful.
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Ho Fai Wong
12-week data science bootcamp: intense but enlightening
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The NYC Data Science Academy's 12-week bootcamp is an intense, well-thought out and comprehensive program that accelerates one's immersion into the world of data science. Having worked in IT infrastructure consulting for 8 years at one of the Big Four, I wanted to shift career orientation and focus more on data science, elements of which had begun to interest me over the course of several client projects.
Comments on the program:
- Strong teaching staff who is clearly passionate about teaching data science as evidenced by the late evenings and weekend support
- Focus on concepts and skills that are actually relevant to the marketplace
- Broad and dense curriculum (R, Python, machine learning, Hadoop, Spark, MongoDB, etc) to maximize learning in a limited timeframe
- Flexibility and nimbleness of the program to adapt to feedback from alumni, employers and the market to maintain the relevancy of every topic taught
- Good mix of lectures, homework and projects
- Helpful job prep activities such as interview coding simulations (and others that I won't spoil)
- Eclectic mix of students (though this may vary by cohort) that allowed us to learn from each other's diverse backgrounds and areas of expertise, and develop deep personal friendships and professional relationships
- Opportunity, if selected, to present projects at Data Science Meetups which offers networking opportunities as well as practice of presentation skills
Suggestions for improvement:
- As data science is a dynamic and evolving field, keep up with the latest advances such as improvements in R packages and update the curriculum accordingly
- Give harsher constructive feedback to students when required
- More transparency on student evaluations overall and for Meetup project selections as well
Recommendations for aspiring students:
- Be committed: the bootcamp is demanding but that is by design. It's an investment; you get out what you put in. Don't show up late, don't ignore the homework. If you do, it's your loss
- Don't fall behind: there's a lot of work and learning a very rapid pace, not to mention homework almost daily
- Be proactive: reach out to the TAs or the instructors for feedback (not just help), read up on machine learning outside of the bootcamp, talk to your classmates on how to collaborate
- Manage your time: you will have to juggle many responsibilities and will most likely feel overwhelmed in general. That is also a skill you will need in the professional world
- Learn to be autonomous: don't run to the TAs or the teachers for help as your first recourse. Google, StackOverflow and other resources most likely already ahve the answer you are looking for. Only when you have made a decent attempt at figuring out the problem should you ask for help. After the bootcamp, that safety net will no longer be there so it's best to practice early
Overall, very positive experience. I can't speak to the job placement assistance as I returned to my original firm, but regardless, I'll maintain the great relationships built with the Academy.
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Kelly
Great Investment!
NYC Data Science Academy (NYCDSA) provided the platform to pursue my dream career. The curriculum is well thought out, with detailed notes, hands-on projects, and great hiring partners. NYCDSA gave me the tools to be come a data scientist, and the exposure to land the job. Truly one of the best investments I have ever made!
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Denis Nguyen
A Wonderful Experience!
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NYC Data Science Academy's 12-week bootcamp was a life-changing experience. It was an intensive 3 months but definitely helped me transition from healthcare to data science.
Comparing against other bootcamps, I decided to go with NYCDSA for its thoughtfully planned schedule. From the large volume of content to the scheduling of each day, it had what I needed to succeed. Each day consisted of lectures with really useful slides and concluded with time for homework and projects in the afternoons. The allocated time in the afternoons gave us time to digest what we learned and the homework assignments reinforced the new knowledge.
Coming from a background in biomedical engineering and biological sciences, I was used to being told everything I had to know. The bootcamp gives a lot of information with its detailed lectures but also challenges students to find their own answers. For example, a homework assignment had a problem mentioning a function that was not mentioned in lecture. We had to research it and learn how to use the function before we could do the problem. This taught me how to be resourceful and find answers on my own instead of relying on someone to tell me everything. Because data science is a growing field, you cannot expect to learn everything in a short period of time but should know how to find solutions on your own.
Being challenged to learn may sound intimidating but it really isn't when you're surrounded by supportive peers and staff. The staff are extremely hardworking and friendly. They stay late, sometimes even until 11pm and they love what they do so they won't be grumpy or annoyed at you. They also come in on the weekends and will help with homework assignments and projects if you require it. The TAs are excellent resources who are passionate about data science and motivate you to always do better.
Advice: Try to familiarize yourself with the suggested R and Python readings before you begin the bootcamp so that you can spend less time trying to understand concepts and more time on the data science parts.
Even after graduating from the bootcamp, I still feel like family around them. The instructors and staff do not forget you and continue to help with your job search. Vivian actively connects you with resources and posts jobs you may be a fit for. She also holds coding review sessions so that we are better prepared for interviews.
Job Prospects: Besides the countless data scientist and analyst job posts found online, NYCDSA hosts a hiring party at the end of the bootcamp that connects recruiters from multiple companies with students. It gives you a big opportunity to speak with recruiters and build connections. I interviewed with one of the hiring managers from the event and got an excellent data scientist job approximately 1 month after graduation. You have other opportunities to stand out from crowd when Vivian reaches out to her contacts and sends in your resume so you're not just another applicant in the pool. There are tons of jobs and the support from NYCDSA is outstanding.
I have no negative memories of the bootcamp besides the late nights spent on projects but you get as much as you put into the program. Overall, the bootcamp does a good job preparing you for a career in data science as long as you work hard for it. Your peers will be your friends and consultants for your data science problems. I would join another cohort at NYCDSA if I could!
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Yuka
Intense but great lecture
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I took the data analysis and visualization with R class in June. The lecture and presentation was very thoughtful. The instructor was very helpful. After taking the course, I can actually pick up some skillsets like doing some descriptive analysis and creating some plots. But more practice is needed outside the classroom if you really want to get something from the course.
Overall, I would recommend the course to people who have some coding experience and would like to learn more on the topic.
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Adam Cone
Intense, difficult, and rewarding
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I finished the bootcamp yesterday. I have a BA with honors in Math, an MA in Applied Math, and an MS in Civil Engineering. I have 8 years of work experience in both the private and public sectors. I committed to this program to help me transition to becoming a data scientist. I had minimal professional programming or statistics experience when I applied.
- I bought a new computer and studied statistics, R, and Python for over a month before my first day in the bootcamp.
- I worked more intensely and consistently at the bootcamp than I've worked on anything over a 3-month period, either in school or in a job.
- The staff are maybe the bootcamp's finest feature. The instructors are technically proficient, patient, and articulate. Somehow, I didn't feel intimidated, more inspired. In three months, every time I requested support, I was supported.
- The office has a simple aesthetic and is well-equipped and well-maintained. It is often crowded, but overall a space where I felt focused and could work.
- I gave the curriculum 4/5 stars. I found the material fascinating. There were many times when I simply didn't keep up. There is a lot of material. Read that sentence again. The curriculum moves so quickly that it often felt like a day-tour of Europe.
- I found my classmates highly-educated, focused, and committed. I forged some excellent working and social relationships.
Overall, I recommend this bootcamp under the following conditions:
- You will commit yourself to this program for 3 months. For these 3 months, this is what you will do during the day and in the evening, weekdays and weekends.
- With whatever time you have before the bootcamp, you will study statistics, R, and Python.
- You accept early on that sometimes it will be acutely stressful and overwhelming.
Having completed the bootcamp, I see the value in Vivian's approach: by working at capacity among such skilled staff and focused students, my skills and knowledge developed quickly. Overall, this bootcamp worked well for me and I'm glad I did it.
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Wendy
12 weeks Data Science bootcamp
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This is an awesome program you will not regret attending!
I was in the Jan-April 2016 cohort. The course covers everything you need to know to apply for data scientist jobs. We started from the fundamental of stats in R, and moved into machine learning in both R and Python. In the last two weeks we also got a fair exposure to big data tools like Hadoop and Spark. The instructors we have are AMAZING!!! They are super knowledgeable and also very passionate about data science. TAs are the most hard working group of people I know! They really try their best to help you. Students at the bootcamp are impressive as well. Most of them either have a phd degree or have significant/successful work experiences prior to joining the bootcamp. We did five projects during the bootcamp which you can totally show off during your job interviewsss! And you will have a least a few job interviews guaranteed during/after the bootcamp. They really tried their hardest to help you preparing and securing job interviews. I personally had at least 5 interviews while I was still in the bootcamp, and was hired only two weeks after the bootcamp ended.
The program wasn’t easy, you will have a ton of homework and projects to do, but they are always there to support and help you. I would recommend this 12 weeks bootcamp to anyone who wants to be a data scientist or simply interested in data science.
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David Steinmetz
Data Science with Python: Data Analysis and Visualization (Weekends)
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This course is ideal if you already have programming experience. I had experience with Matlab and R, so this provided the answer to the "how do I do that in Python" question. If you have never programmed before, go through Learn Python the Hard Way very thoroughly before enrolling. You will get the most out of this course if you have already learned basic programming concepts and can therefore focus on the intent of the course: data analysis and visualization.
The class teaches very practical aspects of Python and data manipulation and visualization. Often we know what question we want to ask and maybe even already have the data, but need to get it into a form to analyze and present visually. This course was good at preparing you for that. Little time was spent on cleaning data, most was spent on learning Python and manipulating data and how to visualize it.
The instructor, Liz, was easygoing and personable, which made it very easy to ask questions. She was also knowledgeable about the topic and could give insights into what it was like to actually use these tools on a daily basis. I enjoyed having her as an instructor.
I'm only giving it four stars, which to me means very good, because five stars to me means truly exceptional. In order for this course to be truly exceptional, it would need to ensure all students were up to a certain standard in Python, allowing the class to go into the data analysis and visualization much faster. Given that the students in the class had extremely different backgrounds and levels of programming experience, I was very impressed.
In conclusion, if you are using other tools like Excel and have some programming experience, I recommend this course as a good way to move your work into Python to take advantage of its speed, flexibility and packages. I was able to create visualizations of crime and weather data I got from the NYC Open Data site in only a couple hours after taking this course. Well worth it!
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Anonymous
Good courses, very insightful
I took both the intro to data analytics and the machine learning course, both using R. Both the instructors Luke and Shu went out of there to answer emails and help me get a better understanding of the field. I'm new to data science and computer science and after the course, I felt very comfortable using R and discussing machine learning and data science with other individuals.
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Anonymous
DATA SCIENCE WITH PYTHON: DATA ANALYSIS AND VISUALIZATION (WEEKENDS)
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Well, i could have learned much more things by finding a good book and reading it or taking online course which would've been much more chaper as well. First of all if you re beginner at python , this course deffinetly is not for you . You get very brief information in the lectures and you have to figure out rest by yourself. I took this course just because i didnt have time to learn by myself and i thought they will actually teach me , not pushing me figure out by myself but obviously i was wrong, so disapointed.
It was very bad idea to pay more than $1500 and take this course.It doesnt worth at all !
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Christopher Redino
Challenging, Rewarding, Practical
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I chose NYCDSA over similiar bootcamps because they seemed to have largest breadth of content and also seemed to be the most challenging, and I believe they delievered in both those aspects. You will learn a lot, and you will be challenged, even if you come into the bootcamp with some experience in data science.
The lectures themselves are very enganging, and the intstructors are very knowledgable. The course content (slides, lecture code, homework, etc) are not only excellent for learning the matieral, but I think they will also be valuable references going forward.
I feel the bootcamp has prepared me well for my job search. I had several interviews set up before the bootcamp had ended, and my first offer a few weeks after that. I'm confident that if I want to interview with more companies that NYCDSA can help to make this happen. Employers are interested in the projects I've done with the bootcamp, so I can get their attention, and the course material has trained me in the areas they are likely to test me on during interviews.
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Sricharan Maddineni
Life-Changing
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My time at the Nyc Data Science Academy was some of the best three months I've ever spent. This is an intense bootcamp but it the instructors are absolutely amazing and push you to excel. Christopher (the main statistics and R instructor) is one of the best people I've ever met and you are guaranteed to be inspired by him. The TA's are some of the most hard-working people you will ever meet and are always available to help (most days until 11pm - not sure if they even go home!).
All my peers in the cohort were positively affected by their experience and you should attend without hesitation if you're accepted! Vivian, the academy founder, is personally vested in helping her students find jobs and she is extremely well connected and caring. We are fortunate to be on the cusp of this new and exciting field and have the opportunity to attend such a bootcamp.
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Joseph Lee
A positive and life-changing experience!
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The program offers a very good course for building foundational data science skills. It is very evident how motivated the faculty and instructors are in helping their students achieve their initial career goals in data science. The curriculum covers topics and subject matter that is considered mandatory for any entry-mid level data scientist and the program does a good job preparing students for data science oriented interviews. Data Science is a large field that cannot fully be appreciated in 12 weeks. In spite of this the NYCDSA does a great job designing both the breadth and depth of their curriculum, which they are always improving and expanding.
Overall, I had a very successful experience and had multiple interviews both during and after the program, which eventually led me to my present dream data scientist job.Overall Pros
- Talented and very bright staff and instructors.
- Very good network with NYC companies
- Growing company
- Available staff at all (or most) times
- NYC Location
- Homework is reasonable, challenging, and yet fun
- Curriculum covers many basics that are important for data science interviews.Overall Cons
- Growing pains, which should be expected for any growing startup in a hectic and driven environment such as NYC.
- Hiring network is fairly limited to the east coast (from when I attended), however last time I checked they are making successful efforts in branching out to other regions.My Advice:
The program is a goldmine of learning potential for any student who is willing to put in the hours both inside and outside of the classroom. In order to yield the most benefits from the program, students should be flexible and nimble. Data science is a constantly growing and changing field, thus the curriculum must also constantly change. Furthermore, students should constantly engage with the instructors and TA's. The curriculum goes at a face pace and it is their (the faculty) mission to ensure that all students maximize their learning. From my personal experience, 30% of what I learned came from the lectures while the other 70% of what I learned came through working on projects and problems after class with my peers and TA's.Conclusion:
I would highly recommend this program to any person who are willing to work hard and put in the hours to learn and reinforce the material. -
Korrigan
Great Bootcamp, Hands On Experience
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I attended the inaugural bootcamp in from Jan 2015 to May 2015 and loved it. I came into the program with a programming (java, matlab) and math background and some data analysis experience and was quickly met with tons of new material and challeneges. I loved the fast pace, yet detailed lectures. They provide a thorough introduction to R and Python followed by lectures on machine learning, statistics, and other data science technologies. The best part of bootcamp is working on projects of your own design under the guidance and expertise of the lecturers. Everything I learned and created directly helped me get a great internship and later a great job. I would recommend this botcamp to anyone looking to fully immerse themselves in the field of data science in order to better themselves or land a interesting job
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Fangzhou
Basics and fundamentals for beginners!
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I attened 2015 Summer Data Science Boot Camp with NYC Data Science Academy. It was a positive experience and I would recommend it to anyone who doesn't have data science background and wants to step in this area. Especially if you are in the middle of job searching, and have great motivation and determination to learn. The advantage of being in a full-time boot camp is that the immersive learning makes time go faster without you realizing it. You can easily spent a whole day focusing on one data problem without any distraction. Just note that this bootcamp is for people who wants to learn basics and fundamentals, not for who wants to be a machine learning expert!
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John
Great program for taking the next step
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Before I enrolled in the Data Science Academy's 12-week data science program, I had spent nearly a year exploring data science with almost nothing to show for it. Coursera, books, Kaggle, you name it. A bit discouraged and overwhelmed, I began the data science program with high hopes for strong teachers, a great community, and a rigorous crash course on all things data science.
I got all that and more. Proof: I recently began a new job, and was able to hit the ground running on literally every front the company threw at me. Statistics and algorithms? Check. R programming? NYCDSA took us through almost all the packages my new company uses regularly. Python? Same deal as R. Infrastructure, AWS, distributed computing, visualizations, SQL? All check. And the NYCDSA enabled all of this - brilliant, helpful professors, well-designed homeworks / lectures, and great connections to the real data science world.
Make no mistake - you'll be working unbelievably hard. Dozens of homeworks, ~5 projects, tons of slides and material to learn. But that's what you want, right? If you're serious about boosting your career, NYCDSA is the perfect place for you.
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Anonymous
Recommendation for Machine Learning w Python
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I took the Machine Learning with Python class to get a fast and quick intro on how to code machine learning algorithms in python.
Our instructor, Shu, was very good and accommodated fully the needs of the class. He knows both the theory and the coding parts.
I think the course strikes a good balance between over-viewing techniques and offering hands on specific knowledge so that you
can go away and code on your own after the class is done.
I would recommend this course to anyone who wants to get started as quickly as possible with Machine Learning in Python. -
Sebastian Nordgren
Recommendation for Big Data with Hadoop and Spark
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I attended the Big Data with Hadoop and Spark course, hosted and led by NYC Data Science Academy. My objective was two-fold: first, to gain a deeper and practical understanding on emerging 'Big Data' technologies, more so than what academic publications or industry white papers currently provide; and, second, to familiarize myself with the skill set and experience to expect from the new generation statisticians, or Data Scientists. With a background in Business Intelligence, Architecture, Risk Management and Governance on Wall Street, I find that foundational skills remain the same: mathematics and statistics. However, with the commoditizing of data storage and massively parallel computing, Data Scientist today are capable of solving problems reserved for an exclusive few in decades past. The course did not cover configuration of the Hadoop environment, but thanks to the engaging and knowledgeable instructor, clues on challenges and potential pitfalls were generously shared. I highly recommend this course not only to professionals or recent graduates looking to hone data analysis skills, but also to anyone with an interest or stake in Big Data.
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Jake
A hugely successful 3 months
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Three months ago I had no idea what I had signed up for. I wasn't even sure I had made the right choice--not just with NYCDSA, but data science in general. I didn't know how to code and all my statistics experience came from an academic setting. Three months later and I can hardly comprehend how I got to where I am now, but I know for certain I wouldn't have gotten here without NYCDSA. On the first day it was clear that I was a bit of a minority. It seemed that everyone had more experience than I did--I had been a classroom teacher for 6 years, and an English teacher at that--but this wasn't a time for excuses. No matter what level you arrive at, you can't survive the program without being all-in, and that might be its greatest strength. I (and the rest of my cohort) kissed goodbye to our social lives and fought through three of the most challenging, stressful months of our lives. Suddenly I'm a proficient coder in two languages, I understand the statistical nuance behind complicated machine learning algorithms, and most importantly, I landed a job that is wildly better than what I imagined I could get. Seriously. I took the screening interview just for the practice. And then I got another interview. And then another. And then a job offer. And throughout, I knew the answer the virtually every question they threw at me. And for that, I have to thank NYCDSA. -
David Comfort
Great Experience at NYC Data Science Academy
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I had a great experience at the NYC Data Science Academy.
To give you a little background, I have a PhD in Biochemistry and did a Post-Doc in computational biology and bioinformatics and then worked in industry for a couple of years in both technical and non-technical roles. With the recent advent of data science, I made a decision to make a transition to data science and wanted to get up to speed in data science, Python and R, as well as machine learniing, in a rapid but focused manner. The NYC Data Science Academy provided the perfect oppotunity to do so.
The things that stand out about the Boot Camp were:
- Quality and enthusiasm of the instructors - Given the broad range of the participants, the instructors really knew how to challenge us.
- The Teaching Assistants - The TAs were patient and provided great guidance and instruction.
- Quality of the participants - It was a great experience to go through the boot camp with a really talented group of people.
- Projects - The individual and team projects really gave me the opportunity to challlenge myself and stretch my abilities. It also provided with a nice portfolio which I can show potential employers.
- Vivian and Janet - The heads of the Boot Camp really showed that they cared about the participants and challenged us to work hard and remain engaged.
- Guest speakers - The quality of the guest speakers was really outstanding.
A word of caution about participating in the Boot Camp. Be prepared to work like crazy. I worked 12 to 14 hours a day, 7 days a week for three months straight.
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Nate Aiken
A
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I though the bootcamp was an amazing experience. It's helped me build a stronger statistical and programming foundation to start a career in Data Science. It taught me the most widely used statistical learning methods in both R and Python. We also covered topics employers look for like SQL and Hadoop. The bootcamp involved daily lecture and homework and was punctuated by projects to apply what we were learning. We then had the opportunity to present our work to our peers and at monthly Data Science Meetups. The brought in weekly data science speakers to give us a sense of what being a data scientist in the real world is like. These speakers included Owen Zhang one of the top ranked Kagglers, and Kirk Borne the head of Data Science for Booz Allen Hamilton. The last two weeks of the bootcamp involved resume review, interview prep, and final projects. They also helped us find jobs by actually bring data science recruiters and HR people to the bootcamp. This program will LEFT JOIN your current life with a career in Data Science.
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JF Darre
Data-Science 12-weeks bootcamp
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I attended the data-science bootcamp offered in NYC and had a great experience! I learned a lot on every aspects of data-science and machine learning:
- the theory
- the tools
- coding
- and a lot of practice through homeworks, in-class labs and projects
It is very intensive, you will work ~12h+/day and on weekends, but you will leave the bootcamp with so much knowledge, coding experience, practice, 5 projects added to your linked-in/resume, 5 blog posts, a github account to be proud of and even, if you want to, a participation in a Kaggle competition.
The team is amazing. Vivian will do everything she can to improve your experience and has a huuuuge network:
- This week, for example, she organized drinks with 20+ companies who came to meet with us (ranging from Guggenheim Investments, Two sigma, Goldman to Medivo, Draft Kings, About.com and many startups too).
- Last week, she got Spotify to bring in 3 speakers who then individually interviewed 15 people the rest of the afternoon!
Janet, also will be in charge of continuously improving the program. That girl does not need to sleep. There were nights were I would leave at 11pm+ and she would still be there. A few weekends/sundays, I came to the bootcamp to work on projects with team-mates and she was there. She is incredible and really dedicated. She organises "Therapy sessions" every Friday to make sure we address and confront every problem we have encountered during the week which is really useful.
The instructors are friendly, professional and knowledgeable. Every class has slides and code. I saved everything. What a resource this is! I have all the theory and code right there on my computer, no more looking on google's 20th page of results to find something somewhat relevant, or reading un-understable wiki pages about all this machine learning. Here, the way we learn is:
- theory briefely (no proofs) but complete.
- focus on the different parameters, what they do, how they affect the model etc...
- then code and actually show how to use all this
- then homework to let us try to replicate what we just learned
- then projects to make sure it sinks in!
rather than everything you will typically find on-line which is: theory and then more theory.
If this was not enough, on top of all the team and instructors, you'll have access to TAs too! They are very nice, smart and competent... and especially they are veeeeery... patient with us and our questions!
Additionally, you have projects that you have to present to the class. So you get valuable practice both in presenting and also in collaborating with peers that no amount of sitting behind your screen can bring! Everything is recorded and edited by a pro. All the classes and your presentations too!
Finally, they will regularly bring presenters to teach us about their projects, the real-world problems they face at work etc... Our class mentor (yes we also have a mentor/sponsor) is also amazing and very helpful.
And lastly, (I promise that's the last comment!) they will bring professionals in to help you optimze your resume, your linked-in etc... and prepare you for interviews etc...
Overall I am really happy with the program and glad they covered both Python AND R. I know some bootcamps do not teach R and the reality is that most companies use R and R is must. I am very grateful to everyone involved and working so hard to make this bootcamp a true success.
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Shin Chin
Great experience taking NYC Data Science bootcamp remotely
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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.
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Dani
Data Science 12-week Bootcamp
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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.
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Jason
Things to do in a bootcamp
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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,
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Pokman
Most important values of the Data Science Bootcamp (in my opinion)
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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.
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Punam
First Batch of Data Science Bootcamp
Data Science Bootcamp was the best experience in my career. Instructers were not only helpful in teaching the regular materials but also guide you to establish your confidence in yourself to be a Data Scientist. They will help you even after completing your bootcamp. Nice and honest enviroment.
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Sam
Awesome instructor. Mind expanded & new tools to use at work.
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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.
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Liz
Machine Learning
I took the Data Science with Python: Machine Learning course and I learned a lot. This course helped me to improve my data analysis and general Python skills. It introduced me to several new libraries and algorithms, most of which I plan to use at work.
Overall, I had a very positive experience. -
Bret Fontecchio
Data Science Course
I took Vivian's Data Science course and had a fantastic experience. I networked with Data professionals from the NBA, the Federal Reserve Bank, NYC startups, and more. I learned a lot very quickly and had a lot of fun. It's a nice part of the city and the building has a great startup feel to it.
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Anonymous
Challenging and Rewarding
I spent three months there applied my knowledge on several interesting projects, including Kaggle competition and data visualization of new york crime analysis with shiny (R). Also the students and instructors are inspiring and motivating. It was a nice experience for me.
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Anonymous
g"R"eat
I sharpened my skills by using different R packages to solve realistic projects. It is a wonderful experience to solve those unique and challenging projects.
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anonymous
current student
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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.
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Anonymous
Great school - and they teach R!!
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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.
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Anonymous
GenAI LLM Bootcamp
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I undertook the GenAI bootcamp at NYC Data Science Academy that was focused around LLM's. I thought the course was informative and was delighted to complete the capstone project which also gave me advanced knowledge of cloud methodologies while working with AWS. Thereafter, I did internship with the NYC Data Science Academy which allowed me to further implement my newfound skills in language modeling, which was a great way to apply the learning materials. -
Anonymous
BIGGEST waste of time
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This was no joke the biggest waste of my time that I could have made after I was laid off. I wish I had f*cked off for a year rather than do this bootcamp. Im not exaggerating when I say that the support here is almost non existent when it comes to getting a job. Vivian is a smart woman but she also needs to be WAY more honest about what this bootcamp can really do for someone who wants to be in DS or ML. She knows how to make money. She lies to you. She lies to the people who she wants to hire you, about your qualifications. All of the students in my cohort and even the instructors believe the same and think this is a scam. 5 years ago, this content would have gotten someone a job, but now that AI is a thing, this content is as good as a series of YouTube video tutorials. Do not invest your money here. You will regret it so fast. Every person I have contacted on LinkedIn who is an alum past 2024 has only had UNPAID internships. THATS IT. The portal where the learning happens was down for 4 months. Not an exaggeration. This bootcamp is a scam. I want my money back. -
Anonymous
Outdated and Unhelpful
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I wrote positive reviews at the end of my Data Science with Machine Learning bootcamp experience because that was part of the exit to the bootcamp. The only positive things about the bootcamp are a couple of the mentors who are actually helpful and some hands-on experience. This is not worth the INSANE cost of this bootcamp. The coursework is outdated and if you want to learn about AI (which is involved in everything), they encourage you to PAY for another one of their bootcamps. For one of my project presentations, the head of the bootcamp, Vivian, wasn’t even fully paying attention. I repeatedly asked for the recording and never received it and I’m pretty sure it’s because the recording never existed. Recently, the bootcamp got hacked and my blogs are completely ruined, so showing them to possible employers is pretty much a waste of time. All but one interview that I have gotten, has been on my own. The one interview she finally got for me after 8 months of completing the bootcamp, she put me up against someone who hadn’t completed the bootcamp and that she knew had more knowledge than me, being that I am a career changer, in turn, setting me up for failure. Being that this was her friend and she knew what the position was, she could have told me to brush up on certain things I would need to know about AI. This bootcamp does not set you up for success. When I asked for guidance and insight about what questions to expect for a final round interview, she sent me the LinkedIn profiles of the people interviewing me and told me to research their jobs. None of which was helpful for my interview. When I asked if the person who goes over leetcode problems to practice could do some SQL problems, he told me he’s not doing those again and I should go find the videos he’s already done (not helpful). The bootcamp also boasts all of the connections they have and how they can easily help you find a job. The only way you find out if there’s a connection is if you deep dive through their past participants and see if there’s an opening at their company, and then send a glowing email about yourself for her to forward (not helpful). Lastly, some bootcampers are given more help than others. While some bootcampers were highlighted and promoted on her LinkedIn, others weren’t even mentioned. I’m extremely disappointed with the lack of support I have received since completing this bootcamp and would absolutely not recommend it. Choose a different one. -
Anonymous
Great introduction to basic and advanced concepts in ML
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I took this bootcamp mainly due to a referral from a friend and colleague from work. I had a background in working with R but had never really worked with python or ML. My schooling is in Engineering and have been exposed a bit to ML and programming, but have neve really delved deep into it.
The Good:
I though the availability of the TA’s and their responses were amazing. You essentially have infinite time you can schedule with them and their responses re always great. If you asked a question they didn’t have an immediate response to, they would even go back do research and follow up through email and personally cater to your questions, it was great!
The best parts of the course were the python and R modules, they do a great job at explaining these and help you get started right away. The advanced modules on ML were hit and miss and found that I definitely needed to re-inforce after with more studying.
The career guidance and the career network is amazing, at the time of writing I have not yet been actively pursuing a job (just graduated), but am already finding a ton of support.
The guidance you can get from Vivian (the bootcamp founder) is great, she’s always actively trying to get you the best offers and career guidance and you can notice that she really wants her students to succeed.
The projects are well structured, and I really loved them. They are designed to make you progressively get into designing a full blown ML project and though they were great.
The Bad:
Many of the office hours, live lectures and additional support are only offered from 9-5, even for the part-time online version of the bootcamp, this makes it difficult for working professionals to actually benefit from this. It would be nice if some of these were offered after 5pm so that we could attend.
As you get more advanced and specialized, not all the TA’s can really help you, for example I had questions about CNN’s and LLM’s that the TA’s couldn’t really help with until they hired an expert (sometime later) that really knew the topics. The help on all the basic programming stuff is great though.
I thought the SQL and Git modules were a bit lackluster and need more development, however, I also didn’t take the Data Engineering part (I decided to take the data science curriculum), so perhaps they’re better explained in the Data Engineering part and are only supposed to be a gentle intro for the Data Science curriculum.
Some TA’s give better lectures than others, at the time I took the course the best and most comprehensive lectures (especially for the math heavy bits) I thought were given by Luke. The other TA’s did not give great lectures and found were difficult to follow. This mostly applies only to the advanced ML lectures were the math really played a big role. For the basic programming parts, all of the lectures were great, as a matter of fact I found Alex to be a great lecturer for these parts.
Overall:
I found this experience great, for me it was much better than just taking a course online from coursera or other platforms since here you actually have deadlines and classmates that you can interact with and they help keep you honest and push you towards actually finishing. That part was important to me as a working professional since I always found it hard to motivate myself to actively separate some time to studying ML on my own, but this course gave me all the correct motivation in all the best ways.
If you’re looking for a smooth introduction to ML and can’t find the motivation to go it on your own, this bootcamp is the best.
I will definitely need to study more after graduating to snag a job, but that comes with any bootcamp, and the post graduation services here are great as well.
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Anonymous
Industry Level Training in Data Science and Machine Learning
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It is one my best investments taking Data Science Bootcamp at NYC Data Science Academy. I am from advanced quantitative background, and at NYC Data Science Academy, I was able to acquire and structure knowledge in Machine Learning. Vivian and her team doing great job continuously updating and introducing skills into the program to make the graduates marketable in the industry. One of main aspects of the NYC Data Science Academy is that you can always count on them in job assistance and expertise anyone needed to keep up with the industry. They always got your back and are ready to help you. I strongly recommend anyone who wants to join the industry regardless the background take the Bootcamp in Machine Learning. If you devote your time to studies you will be well prepared to do a great job in the industry. I personally after graduation because of their assistance got a six figure job at a consulting company. I am positive any graduate of NYC Data Science Academy can do even better.