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NYC Data Science Academy

New York City, Online

NYC Data Science Academy

Avg Rating:4.84 ( 336 reviews )

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.

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  • 12-Weeks In-Person/ Remove Live Data Science Bootcamp

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    Start Date September 27, 2021
    Cost$17,600
    Class size50
    LocationNew 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
    $397.88 pm for 60 months
    Tuition PlansWe have full-financing available through SkillsFund and ClimbCredit financial loan. It is approximately 400/per month for 60 months.
    Refund / GuaranteeNYC 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.
    ScholarshipLimited number of scholarships available to qualified candidates.
    Getting in
    Minimum Skill LevelIdeal applicants should have a Masters or Ph.D. degree in Science, Technology, Engineering or Math or equivalent experience of quantitative science or programming.
    Prep Workhttp://blog.nycdatascience.com/faculty/data-science-bootcamp-pre-work/
    Placement TestNo
    InterviewYes
    More Start Dates
    September 27, 2021 - New York City Apply by September 20, 2021
    January 03, 2022 - New York City Apply by December 27, 2021
  • 7-weeks In Person/ Remove Live Data Analytics Bootcamp

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    R, Data Visualization, Data Science
    In PersonFull Time7 Weeks
    Start Date None scheduled
    Cost$9,995
    Class sizeN/A
    LocationOnline, 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 Project
    Financing
    Deposit$5,000
    Refund / GuaranteeNYC 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.
    ScholarshipLimited number of scholarships available to qualified candidates.
    Getting in
    Minimum Skill LevelPrerequisite 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 TestNo
    InterviewNo
  • Full-time Online Data Science Bootcamp

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    Start Date September 27, 2021
    Cost$17,600
    Class size25
    LocationOnline
    This program was designed for students that have the time to be a full-time student, but can't commute to our school. Students will be placed on a rigorous curriculum that spans from 9:30 AM to 6:00 PM EST as well as have access to prerecorded modules with over 1000 coding challenge questions on online learning platform for additional practice. In addition, they have access to dedicated TA’s as well as the larger network of a shared slack channel between both in-person and remote bootcamp students. Classes: You will learn streamed lectures as well as have access to prerecorded modules and coding questions for additional practice. Personalized Job Support: Students also have access to the full resources of NYC Data Science Academy to help them find their dream job upon graduation. Our curriculum covers the expanse of all the skills required in the data science industry. We cover both R and Python as well as Machine Learning Theory, Big Data, and Deep Learning.
    Financing
    Deposit5000
    Financing
    • Full Tuition Total $17,600
    • Climb Credit Loan $400* pm for 60 months
    • SkillsFund Student Loan $397.88 pm for 60 months

    Tuition PlansWe have full-financing available through SkillsFund and ClimbCredit financial loan. It is approximately 400/per month for 60 months.
    Refund / GuaranteeNYC 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.
    ScholarshipLimited number of scholarships available to qualified candidates.
    Getting in
    Minimum Skill LevelIdeal applicants should have a Masters or Ph.D. degree in Science, Technology, Engineering or Math or equivalent experience of quantitative science or programming.
    Prep Workhttp://blog.nycdatascience.com/faculty/data-science-bootcamp-pre-work/
    Placement TestNo
    InterviewYes
    More Start Dates
    September 27, 2021 - Online Apply by September 20, 2021
  • Introductory Python

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    Start Date None scheduled
    Cost$1,590
    Class size40
    LocationNew 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. This Introductory Python class runs over four weeks, with five hours of class per week (split into 2 ½ hour evening classes). Classes will be given in a lab setting, with student exercises mixed with lectures. Students should bring a laptop to class. There will be a modest amount of homework after each class.
    Financing
    Deposit$1590
    Refund / GuaranteeNYC 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 LevelThis Introductory Python class is designed for computer-literate people with no programming background who wish to learn basic Python programming.
    Prep WorkIn 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 TestNo
    InterviewNo
  • Part-time Online Data Science Bootcamp

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    Start Date September 27, 2021
    Cost$17,600
    Class size25
    LocationOnline
    This is an online part-time self-paced program. Students have 4 - 10 months to complete this program. The curriculum is the same as our on-campus program, with full-financing options, career support and with a one on one support from our mentors. This program is designed for students that work full-time and are not able to quit their jobs. Our curriculum is drawn from data science engagement with corporate consulting and training, hiring partners and active industry participation. Our remote bootcamp ensures that students achieve a very high level of proficiency. Students are expected to dedicate themselves fully to this program and fulfill all the requirements, which include completing lecture videos, daily homework, and four projects. The Remote Bootcamp is built as a collaborative environment utilizing online chat and meeting systems. Students also have the opportunity to collaborate on homework, projects, job applications, interview preparation, paired programming, and even further through our extended alumni community. We work closely with hiring partners and recruiting firms to create a pipeline of interests for students. Each student receives one-on-one support with job searching and access to all kinds of job assistance resources, including coding reviews, interview prep, resume workshop, and access to our exclusive hiring partner network.
    Financing
    Deposit17600
    Financing
    • Full Tuition Total $17,600
    • Climb Credit Loan $400* pm for 60 months
    • SkillsFund Student Loan $397.88 pm for 60 months

    Tuition PlansWe have full-financing available through SkillsFund and ClimbCredit financial loan. It is approximately 400/per month for 60 months.
    Refund / GuaranteeNYC 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.
    ScholarshipLimited number of scholarships available to qualified candidates.
    Getting in
    Minimum Skill LevelIdeal applicants should have a Masters or Ph.D. degree in Science, Technology, Engineering or Math or equivalent experience of quantitative science or programming.
    Prep Workhttp://blog.nycdatascience.com/faculty/data-science-bootcamp-pre-work/
    Placement TestNo
    InterviewYes
    More Start Dates
    September 27, 2021 - Online Apply by September 20, 2021
  • Elina Egiazarova  User Photo
    Elina Egiazarova • Graduate • Verified via LinkedIn
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    I attended the 12-week Data Science Bootcamp at NYC Data Science Academy and it was a fantastic experience. It was meant to be in-person but the classes were moved online due to pandemic. The transition was seamless even though we were the first on-site cohort to become fully online. 
     
    I can't recommend this program highly enough to anyone interested in a career in data science and machine learning. You will learn a lot in a very short amount of time so be prepared for an intensive experience but you'll enjoy every minute of it. The instructors have strong backgrounds in applied mathematics, computer science, statistics and machine learning - as well as industry experience - and it's extraordinary how much time and energy they put in to make sure that students understand what being a good data scientist means.  You'll do homework, quizzes, exams, projects (individual and in groups), it's a lot of work but you will never feel stuck as they have excellent TAs who are always there to help.  
     
    You will learn Python, R, SQL, different machine learning algorithms as well as how to work with data. But that's not all: what I particularly liked was how strongly they emphasised the importance of presentation skills and the ability to tell a story behind your numbers. 
     
    Their devotion to making sure that they prepare you well for a career in data science is quite remarkable. Their career services are outstanding - you will have regular meetings to discuss your resume, prepare for interviews, network with alumni. 
     
    My background is in applied mathematics and quantitative finance but the curriculum is so intensive that I had to work 12 hours a day to meet all the deadlines. But - and that's what makes NYCDSA truly first-class - it will never feel like hard work because you will be surrounded by people who are not just very good at what they do: they are passionate about data science and their enthusiasm will inevitably translate into you enjoying it, too. 
     
    So if you are interested in a career in data science - NYCDSA is an excellent place to start. But even if you are considering data science but not sure whether you'll like it or not - try to get into NYC Data Science Academy: not only will you learn a lot but you'll actually love data science and will want to make it your life's work. 

  • Robert K.N. Atuahene  User Photo
    Robert K.N. Atuahene • Data Scientist • Graduate • Verified via LinkedIn
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    Without question, this is an outstanding Bootcamp for those looking to break into the field of data science. The curriculum is structured to help students master the essential vocabulary in Python (and R) needed to gather, clean, analyze and visualize fairly large data sets(up to a few million records of data) as well as master the theory behind the traditional machine learning algorithms used in supervised and unsupervised learning - ie. penalized MLR, SVM, DA, LR, DT, RF, Gradient boosting algos, clustering and PCA along with hands-on homework, quizzes, exams and project work to consolidate theory with practice. And all this is crammed into 12 weeks so prepare for an intensive ride. But as others have mentioned you will get as much out of it as you put in and this includes utilizing the wealth of resources available to you via the instructors and your cohort.
    In addition to the coursework, the Bootcamp prepares students for the job market by emphasizing presentation skills and the importance of using data to tell a relevant story or solve a business problem. The founder of the program is personally involved in the resume and interview preparation as well as many aspects of the job hunt process.
    I enrolled in the 12weeks in-person Bootcamp but due to Covid-19, all classes were made virtual. I commend the Academy for making this transition seamless without a reduction in the academic experience.
    I certainly recommend this Bootcamp to beginner/intermediary level data science professionals or those looking to make a complete switch. For more advanced students, the Academy offers advanced courses in deep learning and working with much larger data sets that are unfortunately separate from the Bootcamp(at an additional cost of course!)
  • Arliss Coates  User Photo
    Arliss Coates • Graduate Verified via GitHub
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    The NYCDSA is about as rigorous an education as it's possible to pack into 3 months. I was a total beginner in coding, computer science, math, and statistics, so I found the experience very challenging, but very rewarding. Data science is not something to get into idly, but if you're committed, you should be able to make it through. It helps to know someone outside the camp who can assist with the coursework, even though their group of instructors and TAs is top notch. You're going to encounter a pretty brilliant group of people.
  • A great bootcamp!
    - 7/14/2020
    William Ponsonby  User Photo
    William Ponsonby • Business Analyst • Graduate • Verified via LinkedIn
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    NYCDSA is a fantastic bootcamp. I picked them on the recommendation of a former student and it didn't disappoint! It was a seriously tough 3 months, I had never coded before I started the course pre-work having just finished a humanties degree and they pack a huge amount in. With their syllabus the course should really be much longer than 3 months, so you'll need to spend time on the pre-work and also consolidating post-bootcamp, but they give you a solid base to work off and plenty of material to work through even after you've left.

    You get out what you put in to this course. I was often pretty exhausted and increasingly had no weekends! It was no picnic but definitely worth it as I now have a job at a consultancy specialising in data. 

    I think the best aspects of the course were that you could ask anyone for help, both students and teachers, plus the nature of the project work where you were also judged on your presentational skills. 
  • Sammy Dolgin  User Photo
    Sammy Dolgin • Graduate • Verified via LinkedIn
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    Very fast-paced, intense experience that gave a vigorous run-through of the Computer Science, Mathematical, Statistical, and Business-oriented skills necessary to break into Data Science. You won't graduate an expert, but you'll at have at least a baseline understanding of countless tools that you can continue to develop your understanding of upon graduation. The staff is VERY dedicated to student success and will go out of their way to ensure your understanding, and even more so if you approach them first. They do a good job building a strong sense of community among the students and faculty. If you're eyeing a career change or a way of breaking into the field, I'd highly recommend NYCDSA.
  • Kailun Cheng  User Photo
    Kailun Cheng • Graduate • Verified via LinkedIn
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     I have a biomedical engineering background, and I enjoy solving complex problems using quantitative methods.  I had decided to venture into the field of data science and machine learning because I realized that there are many processes that are insufficiently modeled in a deterministic way.  When I graduated with a Master's degree in Data Science, I had acquired many tools and methods in disciplines such as computer science and applied math; however, I was lacking some experience actually "doing" data science, especially in working with real-life data.  NYCDSA gave me the opportunity to obtain hands-on experience in the model building process.  I also had a great time collaborating with other fellows, instructors, and mentors on challenging projects, which further expanded my skill set in proper data collection, data retrieval, and data visualization.  Overall, NYCDSA fosters an enriching and inclusive environment for students of all different backgrounds to gain valuable experience that's needed for a data-driven career. 

    Regarding the job prospects post Bootcamp, I find it challenging in finding a suitable position in this ever-changing career field coupled with the tough economic situation.  However, I do think that NYCDSA is a great guide in pointing me in the right direction by providing the appropriate resources.   After graduation, a couple of recruiters reached out to me, and I was able to pass rounds of interviews with the knowledge I gathered from the projects I did in the boot camp. Ultimately, I'm able to receive a full-time data scientist position offer about three months post-graduation.  
  • Jae Ko  User Photo
    Jae Ko • Student • Verified via LinkedIn
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    I recently graduated from NYC Data Science Academy in March of 2020. Before I began my cohort, my background was in finance and was a novice in the data science/coding world. Though challenging and difficult at times the staff, instructors, and the TA's really helped me to push myself and assisted me to complete the program. 

    The curriculum not only covers coding and data science but the individual & group projects, presentations, and the helpful feedback is very advantageous in the real world. Also, I really appreciated how NYCDCA went what of their way in little things that can make a big difference such as: head shots, resume reviews, interview preps, strategy in job hunting etc...They did an excellent job of covering all topics and encompassing everything that comes with either career change or building up your current career. 

    From my experience, I only have positive things to say about the staff, instructors, curriculum, job support, and the community at NYC Data Science Academy and highly recommend NYCDSA to anyone who is interested in data science. 
  • Michael Link  User Photo
    Michael Link • Graduate • Verified via LinkedIn
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    This bootcamp helped me go from code illiterate to code proficient. The curriculum at NYCDSA is amazing. Trying to become an expert at anything in 3-months is nearly impossible, but NYCDSA does a pretty dang good job of presenting all salient data science topics and pairing these with four major projects that help to solidify your understanding. I was incredibly pleased with the quality of instruction and the expertise of the teachers. It felt like the instructors truly cared about my development and reception of the material. The career services team has been very very helpful. Like many things, you get out what you put in. I highly recommend this bootcamp, but if you do decide to attend make sure to complete the prework, devote 100% of your time to it (i.e. don't work at the same time), and put your all into each project. The four major projects (R Shiny, Python Web Scraping, Machine Learning, and Capstone) are important in how you market yourself post-bootcamp and were fundamental in giving me the confidence to say that "I am on my way towards becoming a great data scientist". Listening to lectures and understanding concepts can only take you so far, so make sure to befriend stack overflow, your instructors, and your keyboard as much as possible. Best of luck in your studies!
  • True Preparation
    - 6/22/2020
    Luke Gray  User Photo
    Luke Gray • Verified via LinkedIn
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    I graduated from the NYC Data Science Academy in September 2019. Though I lived in Austin, TX - home of many data science schools -, after vetting the success of past graduates and the credentials of the instructors at the Academy, I made the decision to temporarily move to New  York to attend this school. 
    The requirements and coursework was very intimidating, but certainly appropriate given the requirements to be an effective data scientist. The typical student spent at least 12 hours a day at the classroom to meet homework and project deadlines, but those hours were well-spent. Even though the difficulty in the material ramped up, the quality of the students' projects and in-class discussions definitely became much more substantive and impressive. The devotion of the students definitely rubbed off on each other, but the expertise of the instructors definitely helped foster that growth as well. It is also worth mentioning that the close alumni network also played a part in student growth.
    Beyond the hard skills learned (Git, Docker, SQL, Python, R, ML, etc ), the program required a lot of soft-skill development as well. Between developing effective presentation skills for our projects, and collaborating with our peers, teaching assistants and instructors, you truly learn what it means to become a data scientist amongst data scientists.
    It is also worth mentioning that they play a big role in your professional development as well. They devote a lot of time to your resume building, interview preparation, and student networking, and, personally,  I found the alumni presentations they prepared were some of the most insightful presentations I've had.
    If you are serious about becoming a data scientist, you go to this school. 
  • Simon  User Photo
    Simon • Graduate Verified via LinkedIn
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    I graduated from NYC Data Science Academy in September 2019. I was recommended by a friend of this bootcamp, as he told me that I will be able to learn a full spectrum of skills needed to enter a data-related job. Having almost finished my Master in Statistics, I wasn’t sure about the tools needed in the industry, because the master program focuses very much on theory but not on the practical tools.  Hence, I was very glad to be introduced to a toolkit of data science skills, those of which will be very applicable to any data science/engineer jobs in the future. One thing I really liked about the program was its intensity. I understood that students coming to this bootcamp came from different backgrounds, some of which might find it a bit challenging. For someone who has background in statistics and a little bit of computer science, the pace was very good because I could learn a lot of things within 12 weeks, bombarded by one project after another. I really liked the instructors here, especially Luke Lin and Zeyu Zhang, as they were so knowledgeable and patient. I also made many friends here, especially for someone who just moved to New York City. 
  • Oleksii Khomov  User Photo
    Oleksii Khomov • Graduate • Verified via LinkedIn
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    NYC Data Science Academy’s program covers more material than any other leading bootcamp. Curriculum is created with long-term professional development in mind, while at the same time being incredibly “up-to-date” with all the latest developments in the industry. Thanks to the things above, bootcamp positions students for immediate success right after the completion of the program, while keeping on serving their career in the long run. In other words, NYC Data Science Academy’s curriculum includes some extra components, which are essential for getting a job at the top companies in the industry (e.g. FAANG). 

    In addition to the core of the program, NYC Data Science Academy also offers practical and extensive preparatory material (already included in the price of the bootcamp). Thanks to these materials students are capable of building a strong foundational knowledge of the core material, and as a result, have a much easier time during the program.

    One of the greatest advantages of NYC Data Science Academy’s bootcamp is the group of extraordinarily supportive teaching assistants. Since 100% of teaching assistants are former bootcamp students, they possess a unique understanding of anything that current students are going through at any given moment. 

    Another pivotal part of the program is its amazing collective of instructors, most of whom possess advanced degrees and multiple years of industry experience. No other place creates such a remarkable mix of academic and industry knowledge that allows students to not only learn how to code but to understand the underlying principles of the scientific and business processes. 

    Last but not least, is the selection of projects that students have a chance to complete during the bootcamp. These projects not only allow students to apply newly-learned coding techniques but also push them to solve “real-life” problems and to create industry-specific practical solutions. Bootcamp has a healthy mix of individual and group projects, which gives students a chance to work with different kinds of dynamics, and most importantly to learn from fellow students. 

    Overall, the unique selection of material, amazing teaching and supporting staff, along with the ability to be among a diverse group of people with all sorts of professional backgrounds is what distinguishes NYC Data Science Academy from the rest.

  • Sunny Lee  User Photo
    Sunny Lee • Student • Verified via LinkedIn
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    Before thinking about any kind of bootcamp, my background was in finance and I wanted to brush up on coding skills and my statistics knowledge. Once I decided I wanted to explore careers in data, I spent an insane amount of hours researching and talking people. I was scared to leave my job without any guarantee of getting a new job. Ultimately, I chose NYCDSA, and looking back, I am very grateful that I did. The people that I talked to from admissions were friendly, informative, and helpful. They were empathetic about the fact that this was a big step and they were not pushy or sales-y at all, which was very refreshing compared to some of the other bootcamps. During the bootcamp, the instructors and TAs were very invested in the students. They helped me think through project ideas, review concepts, fix a bug, and all of the above. I came out of the bootcamp with Python, R, and SQL skills along with a portfolio of projects that I wasn't embarrassed to talk about in interviews. The hard part of networking, interviewing, and studying for a new job doesn't go away - but NYCDSA gave me the tools and the job support to feel confident that I can do it. I've learned so much more in the 3 months than in the one year I tried self-studying for a career pivot. I've also met a great group of friends and people while doing so. Even with COVID, which forced our cohort to go online for the last 2-3 weeks, I was able to get a handful of data scientist and data analyst interviews.   I went in with the goal of making a successful career pivot and they've helped me accomplish exactly that as I accepted an offer at a new firm which I'm very excited about. 

Thanks!