About
About
NYC Data Science Academy offers 12-week, accredited data science and data analytics bootcamps in New York City and live online. NYC Data Science Academy is a nationally accredited Data Science Bootcamp in the U.S that teaches both Python and R. In the program, students will learn beginner and intermediate levels of Data Science with Hadoop, Spark, Github, Docker, SQL, R, and Python packages like XgBoost, Caret, Dplyr, Ggplot2, Pandas, Scikit-learn, and more. The program distinguishes itself by balancing intensive lectures with real-world project work and the breadth of its curriculum. The academy is well known for its industry project-oriented learning experience and well-immersed community established since 2013.
Students will work on at least four individual or team projects showcased to employers through private hiring partner events, student blogs, meetups, and film presentations. The academy also offers strong lifetime career support such as tech interview prep, mock interviews, unlimited mentorships, and 1-on-1 post-interview reviews and feedback from career mentors to help students ace their interviews.
Recent NYC Data Science Academy Reviews: Rating 4.85
Recent NYC Data Science Academy News
- Live Q&A: How 6 Bootcamp Alumni Got Tech Jobs During COVID-19
- Coding Bootcamps with Accreditation
- 2021 Coding Bootcamp News Roundup
Courses
Courses
12-Weeks In-Person/ Remote Live Data Science with Machine Learning Bootcamp
ApplyData Science, R, Git, Hadoop, Python, Spark, SQL, Data Analytics , Data Visualization, Machine Learning, Linux, MySQL
In PersonFull Time40 Hours/week12 WeeksStart Date None scheduled Cost $17,600 Class size 50 Location New York City In this program students will learn the modern data analytic techniques and master the requisite skills, such as Python and R programming languages as well as Hadoop, to address real-world data science problems. Throughout the program, students work alone and in teams to create at least five projects that are showcased to employers. Along the way, students will have assistance in preparing for the job search through resume review, interview preparation, and opportunities to interview with our hiring partners. Successful completion of the curriculum will present a certification of graduation certified by the New York State Board of Education.Financing
Deposit $5,000 Financing - Full Tuition Total $17,600
- Climb Credit Loan $400* pm for 60 months
- SkillsFund Student Loan
$397.88 pm for 60 monthsTuition Plans We have full-financing available through SkillsFund and ClimbCredit financial loan. It is approximately 400/per month for 60 months. Refund / Guarantee NYC Data Science Academy’s refund policy adheres to both ACCET and NYS Education Department guidelines. Visit https://nycdatascience.com/refund-and-regulations/ for more details. Scholarship Limited number of scholarships available to qualified candidates. Getting in
Minimum Skill Level N/A Prep Work Prerequisite online coursework includes a total of forty hours of work and over two hundred exercises. The Prework will prepare students to work with both R and Python as well as revisit basic concepts in linear algebra, calculus, and statistics. Mathema Placement Test No Interview Yes
7-weeks In Person/ Remote Live Data Analytics Bootcamp
ApplyStart Date None scheduled Cost $9,995 Class size 50 Location Online, New York City It is an accelerated training program in which students learn the major tools and methods for performing data analyses and apply them to various projects typically found in real-life business situations. Students learn to employ R and Python for data analytics projects and for presenting research results effectively. DABC502 Data Science Toolkit DABC506 Data Analytics with Python DABC511 Data Analytics with R DABC516 Business Cases in Data Science DABC519 Data Analytics Capstone ProjectFinancing
Deposit $5,000 Financing - Full Tuition Total $9,995
- Climb Credit Loan
- SkillsFund Student Loan
Tuition Plans We have full-financing available through SkillsFund and ClimbCredit financial loans. It is approximately 400/per month for 60 months. Refund / Guarantee NYC Data Science Academy’s refund policy adheres to both ACCET and NYS Education Department guidelines. Visit https://nycdatascience.com/refund-and-regulations/ for more details. Scholarship Limited number of scholarships available to qualified candidates. Getting in
Minimum Skill Level N/A Prep Work Prerequisite online coursework includes a total of forty hours of work and over two hundred exercises. The Prework will prepare students to work with both R and Python as well as revisit basic concepts in linear algebra, calculus, and statistics. Mathema Placement Test No Interview Yes
Introductory Python
ApplyPython, MySQL, Data Visualization, Data Structures, Data Science, Data Analytics , Algorithms
In PersonPart Time5 Hours/week2 WeeksStart Date None scheduled Cost $1,590 Class size 40 Location Online, New York City This is a class for computer-literate people with no programming background who wish to learn basic Python programming. The course is aimed at those who want to learn “data wrangling” – manipulating downloaded files to make them amenable to analysis. We concentrate on language basics such as list and string manipulation, control structures, simple data analysis packages, and introduce modules for downloading data from the web.Financing
Deposit $1590 Refund / Guarantee NYC Data Science Academy’s refund policy adheres to both ACCET and NYS Education Department guidelines. Visit https://nycdatascience.com/refund-and-regulations/ for more details. Getting in
Minimum Skill Level This Introductory Python class is designed for computer-literate people with no programming background who wish to learn basic Python programming. Prep Work In the class, we will use Python 3. If you are following this video to set up Python environment, please make sure you download the Python 3.X version starting from 1 min 23 s in the video. Link: https://vimeo.com/160172414 Placement Test No Interview No
Online Data Analytics Bootcamp
ApplyArtificial Intelligence, Data Analytics , Data Science, Data Structures, Data Visualization, Machine Learning, Python, R, Spark, SQL, Virtualization
OnlinePart Time28 Hours/week12 WeeksStart Date None scheduled Cost $9,995 Class size 25 Location Online [Online Data Analytics Bootcamp: Online Learning, 1-on-1 Mentor, 3 Months] Data analysis skills can be utilized in virtually every industry, making people in the workforce more valuable. Any opportunity to increase your value in your career can pay off big time. It's also an investment to help boost upward mobility in currently held positions. The Online Data Science Bootcamp program is designed for students who would like to take the courses online. Our curriculum covers the expanse of all the skills required in the data science industry. We cover Data Analytics with R, Data Analytics with Python, Business Cases in Data Science, and Data Analytics Capstone projects.Financing
Deposit 5000 Financing - Full Tuition Total $9,995
- Climb Credit Loan
- SkillsFund Student Loan
Tuition Plans We have full-financing available through SkillsFund and ClimbCredit financial loan. It is approximately 400/per month for 60 months. Refund / Guarantee NYC Data Science Academy’s refund policy adheres to both ACCET and NYS Education Department guidelines. Visit https://nycdatascience.com/refund-and-regulations/ for more details. Scholarship Limited number of scholarships available to qualified candidates. Getting in
Minimum Skill Level N/A Prep Work Prerequisite online coursework includes a total of forty hours of work and over two hundred exercises. The Prework will prepare students to work with both R and Python as well as revisit basic concepts in linear algebra, calculus, and statistics. Mathema Placement Test No Interview Yes
Online Data Science with Machine Learning Bootcamp
ApplyData Analytics , Data Science, Data Visualization, Git, Hadoop, Linux, Machine Learning, MySQL, Python, R, Spark, SQL
OnlineFull Time40 Hours/week16 WeeksStart Date None scheduled Cost $17,600 Class size 25 Location Online The Online Data Science Bootcamp program is designed for students who would like to take the courses online. Our curriculum covers the expanse of all the skills required in the data science industry. We cover R, Python, Machine Learning Theory, Big Data, and Deep Learning. Access instructions at your convenience Plan your schedules to meet learning objectives Asynchronous interactions with instructors and staff One-on-one support by academic mentors Longer time to master curricular competencies Lifetime career support to help you find a job upon graduation Connection with Data Science professionals and NYCDSA alumni Online Data Science Bootcamp - Full-time: 16 Weeks (Full-time), Commit 30-40 hours/week Online Data Science Bootcamp - Part-time: 24 Weeks (Full-time), Commit 20-30 hours/weekFinancing
Deposit 5000 Financing - Full Tuition Total $17,600
- Climb Credit Loan $400* pm for 60 months
- SkillsFund Student Loan $397.88 pm for 60 months
Tuition Plans We have full-financing available through SkillsFund and ClimbCredit financial loan. It is approximately 400/per month for 60 months. Refund / Guarantee NYC Data Science Academy’s refund policy adheres to both ACCET and NYS Education Department guidelines. Visit https://nycdatascience.com/refund-and-regulations/ for more details. Scholarship Limited number of scholarships available to qualified candidates. Getting in
Minimum Skill Level Ideal applicants should have a Masters or Ph.D. degree in Science, Technology, Engineering or Math or equivalent experience of quantitative science or programming. Prep Work http://blog.nycdatascience.com/faculty/data-science-bootcamp-pre-work/ Placement Test No Interview Yes
Reviews
NYC Data Science Academy Reviews
- David Levy • Data Analyst • Graduate • Course: 12-Weeks In-Person/ Remote Live Data Science with Machine Learning Bootcamp • Campus: New York City • Verified via LinkedInI have nothing but positive things to say about the instructors, curriculum, job support, and community at NYC Data Science Academy!
From day 1 I felt welcome and part of an extended family. While the curriculum is incredibly challenging; the instructors, classmates, and even alumni are ALWAYS there to help guide you through it.
Like most things in life, you will get what you put in. If you work hard and embrace the collaborative community NYCDSA has built, you will be incredibly well-positioned for success in the Data Science industry.
I secured a role as a Data Analyst at FanDuel Sportsbook 2.5 months after graduating from the program. We have now hired another NYCDSA graduate and will be looking to continue to build this pipeline in the future!
Thank you NYC Data Science Academy for changing my life.
- An extremely rewarding experience- 3/24/2020Austin Cheng • Student • Course: 12-Weeks In-Person/ Remote Live Data Science with Machine Learning Bootcamp • Campus: New York City • Verified via LinkedInI picked NYCDSA because it offered the most comprehensive curriculum. Surely, the amount of content introduced was overwhelming especially in the second half of the bootcamp but with unwavering dedication and commitment, which was pretty ubiquitous and contagious in the bootcamp, the workload was just about manageable. I would describe myself as having a relatively strong quantitative background as I have a PhD in physics (though my knowledge of statistics and coding in general is abysmal), the coursework was still challenging. I would also confidently say that the coursework is taught in a way to be conceptually accessible by all. The bootcamp teaches two popular languages (Python and R, some SQL) as well as the core concepts of machine learning. The machine learning topics are taught with a good mix of qualitative and quantitative reasoning. The students are required to do four intense projects along with many exams and homework. Overall, the bootcamp sets up the students well for future success-- it gives us the foundation necessary to continue to grow as data scientists. The job support is unexpectedly great. The bootcamp works with us personally to become competitive candidates for the job market and also actively makes work connections for us. The instructors are beyond amazing as they rise above expectations always. They make you feel that they are truly responsible for your understanding of the topics and they are very open to feedback (in fact, they actively look for it). In hindsight, as a more experienced data scientist and knowing that there is only 12 weeks, I wish that we had focused purely on Python and SQL, and spent more time on coding challenges, algorithms, case studies, AB testing and big data techniques. There were duplicate content taught as we switched between Python and R though for some this may be good because repetition of topics with a different spin can help with better understanding and retention. And despite saying I wish we focused purely on Python, working with R and having the knowledge to use R Shiny was what ultimately made me more attractive as a candidate since I was able to showcase my work as an app. All this back and forth rambling probably just means that 12 weeks is very short and given that the field of data science is growing so quickly, it's really hard to gauge what exactly and what amount to master. Given this situation, if I turned back time and had to decide all over again where to invest my 12 weeks of time, I would without any doubt pick NYCDSA. With their expertise, receptiveness, hustle and attitude of wanting to do what's best for us, I truly believe that any student there will be in good hands.
- Great experience from online cohort- 3/19/2020Jun Kui Chen • Data Analyst • Graduate • Course: Online Data Analytics Bootcamp • Campus: Online • Verified via LinkedInI was in one of the online bootcamp cohorts. Before I registered for the bootcamp, I just finished my graduate school in a biomedical related major. I liked doing data analysis, but I quickly found out that there was a gap between what I knew and what the industry wanted. Therefore, I decided to choose a bootcamp to ramp up my technical skills. I decided to join NYC Data Science Academy because it offered a very competitive curriculum that included Python, R, SQL, Spark, Hadoop and Hive. The projects we did, which includes Rshiny app, web scraping, machine learning, and a final capstone project, are a good portfolio that students can present to potential employers and those skills can be directly applied to work.
It was hard to keep up as I was also doing a full time job while attending the online bootcamp. NYCDSA provided many service to keep students on track. One of the service I like the most is the TA assistance. I was paired with a TA and we met regularly to go over my progress and the questions I had. My TA was also a NYCDSA student before and was working in the industry as data scientist. Therefore, he not only knew what my struggles were on the course work, and he also taught me a lot of practical experience that was using in the industry.
- Excellent Bootcamp- 3/2/2020Aparna Sundaram • Graduate • Course: 12-Weeks In-Person/ Remote Live Data Science with Machine Learning Bootcamp • Campus: New York City • Verified via LinkedInI took the 2019 summer bootcamp at the Academy, and chose it over other bootcamps based on the excellent reviews and ratings. I was not disappointed. Aiko, Luke, Alex, Drace and Michael were terrific teachers, and taught us Python, R and Machine Learning from scratch. The bootcamp is three months long, but because there is a lot of material to cover, it is incredibly fast paced. The material was however covered in a thorough and accessible manner. The Academy also does a nice job of preparing us ahead of time for the volume of work to come, by having the students do a lot of prework before the first day of class. In addition we get excellent and detailed course notes (which I refer to all the time). Overall it was a fantastic experience, and I strongly recommend it to anyone looking to build their skills in data science.
- NYCDSA Bootcamp- 2/28/2020Tomas • Data Scientist • Graduate • Course: 12-Weeks In-Person/ Remote Live Data Science with Machine Learning Bootcamp • Campus: New York City • Verified via LinkedInI chose NYCDSA because of its focus on data science applications in both R and Python and because of the quality of the faculty. The program lived up to every expectation. I came from a quantitative background, but the program did an excellent job of providing material so that it was accessible to people with a less quant heavy background, while also allowing people with a quant background to take a deeper dive. I was looking to switch from finance to a data science role, and this program helped me bridge the gap. The program is intense but deeply gratifying.
- Deep Learning course- 12/30/2019Edward Tong, PhD • Data Scientist Lead • Student • Course: Deep Learning with Tensorflow (Weekends and In-Person Only) • Campus: New York City • Verified via LinkedIn
The Deep Learning course at NYC Data Science Academy provides a solid introduction to the fundamentals and application of the suite of deep learning models. The instructor, Dr Jon Krohn (DPhil, Oxon), has a talent for teaching deep learning in an accessible, conceptual manner and for demonstrating the wide range of applications that benefit from these neural network architectures. The course content covers the basics of neural networks from the basis of neurons, activation functions to shallow / dense layers and to more advanced models including convolutional neural networks (CNNs), long short-term memory (LSTMs), auto-encoders, Generative Adversarial Networks (GANs) and reinforcement learning. Course readings are taken from the recently published Deep Learning Illustrated book, co-authored by the instructor. There is heavy emphasis on coding using TensorFlow 2.0 and Keras in Jupyter Notebooks along with an introductory lesson on PyTorch. Dr Krohn has a very extensive code repository featuring a myriad of deep learning architectures. The lessons guide us through model code line by line, gradually building up in model complexity across the weeks. Dr Krohn discusses model tuning and addresses common model fitting pitfalls including preventing over-fitting and exploding / vanishing gradients. By the end of the course, the students are able to showcase projects fitting several advanced architectures including CNNs, RNNs and LSTMs to interesting datasets for image recognition, speech recognition and natural language processing. This course is highly recommended if you are looking for a comprehensive and stimulating face-to-face introduction to one of the most revolutionary methodologies in machine learning today.
- A Rare Experience- 12/22/2019Justin Ng • Student • Course: Deep Learning with Tensorflow (Weekends and In-Person Only) • Campus: New York City • Verified via LinkedIn
I took Jon Krohn’s deep learning course in the fall/winter of 2019.
Jon is that rare communicator with the aptitude to succinctly explain rigorous and complex topics in a digestible fashion. His course is an ambitious undertaking, but Jon makes the subject matter as accessible as it’s likely to be. After the course, you’ll not only possess a foundational understanding of neural nets, but also Jon’s compilation of resources for your continued self-experimentation. Jon’s approachability as an instructor, his unabashed love of this cutting-edge science, and his genuine interest in seeing his students advance their understanding could not place you in better hands.
- Totally worth it!- 12/18/2019Mario Valadez Trevino • Graduate • Course: 12-Weeks In-Person/ Remote Live Data Science with Machine Learning Bootcamp • Campus: New York City • Verified via LinkedIn
I have more than 15 years of experience working in supply chain and I took the bootcamp with the idea of updating my data analysis skills and obviously also learn about machine learning, clustering, algorithms, etc. and I can say that it was totally worth it. The material, explanations and projects are really very interesting and challenging.
The main reason I choose this school was because it was the most professional one, most of the teachers had been there for a long time and they don't switch instructors in the middle of the cohort as most other schools.
A normal day is, usually, theory for about 3 hours in the morning and then practice and homeworks in the afternoon.
The part that I liked more is that the school really support the students in making sure we learn but also are able to create a very friendly and collaborative environment. I made really great friends!!
- 5-Star Experience- 12/17/2019Xavier • Graduate • Course: 12-Weeks In-Person/ Remote Live Data Science with Machine Learning Bootcamp • Campus: New York City • Verified via LinkedIn
The reason I picked this Bootcamp over the other's was that after talking to the admission office they seem to be really serious about what they were teaching and the people they admit to their program. In my case, I was looking for a challenging environment where I could develop my programming skills and learn new skills in the data science world and the academy helped me achieve what I was looking for and much more.
The academy instructors are very well prepared and passionate about what they do. The only downside is that given only 12 weeks is hard to understand every single thing they are teaching, for example, one day you are learning Random Forest and the next day you are learning something different. But something that they planned really well and is really helpful is that since you are learning Machine Learning in R and Python when switching to the other language the theory remains the same only the code changed, so in a way, you are reviewing theory twice.The whole experience was incredible, the people that attended my cohort were very smart people coming from different backgrounds like finance, physics, business, engineering, to name a few and from top universities like Harvard, Oxford, Cornell and also different countries which made the whole experience much more interesting. What I enjoyed the most was that working with these different people made you look at data from very different perspectives and in result have a richer analysis of a simple dataset.
After the Bootcamp feel ready to start looking for a data science job, I was already in a quantitive field but this program has really helped me gain that confidence I needed to have a career change.
- A Great Bootcamp Experience- 12/16/2019Aaron Festinger • Graduate • Course: 12-Weeks In-Person/ Remote Live Data Science with Machine Learning Bootcamp • Campus: New York City • Verified via LinkedIn
NYC Data Science Academy was my first choice because of my interest in data science, and their reputation as the best data science program. They did not disappoint.
As a recently separated veteran with a master's degree in physics, I was looking for a way to renew my credentials for employment in the technology sector. A friend of mine told me about his successful full-stack engineering boot camp experience and subsequent employment, so I began doing some research. I did not know what data science was, at the time, but I read about it on Course Report, and it seemed like a perfect fit for me, so I signed up.
NYCDSA is exactly as advertised: an intensive program on data science methodology aimed at students from a wide variety of backgrounds. With my background in physics, math, and C++ and Java coding, I felt that the Python and R syntax taught at NYCDSA was not too difficult. Other students were less prepared but often did okay anyhow. The course began with Python and R syntax for handling and visualizing data, and then continued with machine learning methods in both languages as well. SQL and Docker were also covered, but rather briefly. At the end of the course, deep learning and Tensorflow were introduced, as well as Spark and Hadoop. I would have preferred that more time be dedicated to those topics, but this is a three-month boot camp, so time is limited. Nevertheless, given the allotted time, I feel that I have achieved an incredible amount, and I'm very happy with my experience. Boot camp is not cheap in either time or money, but this one was well worth both. I intend to continue building on the knowledge, experience, portfolio, and network that I have accumulated at NYCDSA as a professional data scientist.
- Absolutely worth the time and money- 12/11/2019Michael Dollar • Credit/Fraud Risk Analyst • Graduate • Verified via LinkedIn
I needed the shortest path to pivot from a research position in physics to a career in data science. I considered grad school, but I have a family, and I need to be there for my kids during their developmental years. NYC Data Science Academy offered an effective restructuring of skills over the course of three months. Not only did I learn skills in data sctructures, statistics, coding, and machine learning, but I also learned skills necessary in the job-hunting process. The support that was given to me during my time at NYCDSA was instrumental in receiving a job offer from a well-stablished company in financial services.
- NYCDSA Experience- 11/25/2019Precious Chima • Data Scientist • Campus: New York City • Verified via LinkedIn
Enrolling in the NYCDSA is easily one of the best decisions I have made, not only in my professional career but also in my life. Being of a statistics background, I knew that programming knowledge was critical when trying to utilize math to solve real-world problems. During my undergraduate years, virtually everything I did mathematically was done by hand. This was a massive constraint because although one may be capable of solving a problem correctly by hand, it is difficult to truly understand how to it is used in the real-world without any true form of automation. After a lot of research into graduate schools, bootcamps, and program offerings with a Data Science focus, I decided to go with NYCDSA based on the consensus of positive reviews I received. During my time there, I was refreshed on advanced statistics, learned a plethora of programming languages that I now feel very comfortable using to build large-scale projects, and even developed my presentation skills tremendously since every project had to be presented in front of a class that included a panel of highly-skilled Data Scientist. Consequently, this helped me feel confident throughout my entire interview process and land my dream job in Data Science. They say hindsight is 20-20, and although I couldn't have said that I was sure this was going to be the outcome coming into the program, I can say now that it was easily one of the most pivotal decisions I have ever made in my entire life.