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NYC Data Science Academy

New York City, Online

NYC Data Science Academy

Avg Rating:4.85 ( 321 reviews )

NYC Data Science Academy offers 12-week data science bootcamps in New York City. In these programs, students learn beginner and intermediate levels of Data Science with R, Python, Hadoop, Spark, Github, and SQL as well as popular and useful R and Python packages like XgBoost, Caret, dplyr, ggplot2, Pandas, scikit-learn, and more. Once the learning foundation has been set, students work on multiple projects through the bootcamp. The program distinguishes itself by balancing intensive lectures with real world project work, and by the breadth of its curriculum. Throughout the program students work alone and in teams to create at least four projects that are showcased to employers through multiple channels; private on-campus hiring partner events, student blogs, meetups, and filmed presentations. 

Ideal applicants should have a Masters or PhD degree in Science, Technology, Engineering or Math or equivalent experience in quantitative science or programming. Candidates with BA’s who have appropriate experience are also considered.

Throughout the data bootcamp, students are assisted in preparing for the employment process through resume review and interview preparation. NYC Data Science Academy works closely with hiring partners and recruiting firms to create a pipeline of interest for its students.

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  • 12-Weeks In-Person Data Science Bootcamp

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    Start Date None scheduled
    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
  • Big Data with Amazon Cloud, Hadoop/Spark and Docker

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    Data Science, Hadoop, Spark, Data Structures, Python, Cloud Computing
    In PersonPart Time5 Hours/week2 Weeks
    Start Date None scheduled
    Cost$2,990
    Class size10
    LocationNew York City
    This is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python. The course will begin with a review of Python concepts needed for our examples. The course format is interactive. Students will need to bring laptops to class. We will do our work on AWS (Amazon Web Services); instructions will be provided ahead of time on how to connect to AWS and obtain an account.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelStudents are expected to be familiar with using an operating system from the command line; knowledge of Python is helpful.
    Placement TestNo
    InterviewNo
  • Data Science with Python: Data Analysis and Visualization (Weekend Course)

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    Start Date None scheduled
    Cost$1,590
    Class size20
    LocationNew York City, Online
    This five week course is an introduction to data analysis with the Python programming language, and is aimed at beginners. We introduce how to work with different data structure in Python. We covered the most popular modules, including Numpy, Scipy, Pandas, matplotlib, and Seaborn, to do data analytics and visualization. We use ipython notebook to demonstrate the results of codes and change codes interactively during the class. Our past students include people with no programming experience or those who have minimal exposure to Python. Students told us our classes are very informative, engaging, and hands-on.
    Financing
    DepositN/A
    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 LevelKnowledge of basic data types (e.g. string, numeric), data structures (e.g. list, tuple, dictionary) Familiarity with concepts of list comprehension and for/while loop
    Placement TestNo
    InterviewNo
  • Data Science with Python: Machine Learning (Weekend Course)

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    Data Science, R, Artificial Intelligence, Machine Learning
    In PersonPart Time7 Hours/week5 Weeks
    Start Date None scheduled
    Cost$1,990
    Class size10
    LocationNew York City, Online
    This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. This includes linear regression, Naïve Bayes classifiers, logistic regression, linear discriminant analysis, cross-validation, bootstrapping, feature selection, regularization, model selection, SVM, decision trees, random forest, PCA, K-Means, and Hierarchical clustering. In addition, this course teaches the basics of natural language processing. After successfully completing this course, you will be able to explain the principles of machine learning algorithms and implement these methods to analyze complex datasets and make predictions in Python.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelCompletion of Data Science with Python: Data Analysis; Data Science with R: Machine Learning
    Placement TestNo
    InterviewNo
  • Data Science with R: Data Analysis and Visualization (Weekend Course)

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    Data Science, R, Data Visualization, Data Analytics , Data Structures
    In PersonPart Time7 Hours/week6 Weeks
    Start Date None scheduled
    Cost$2,190
    Class size15
    LocationNew York City, Online
    This course is designed to provide a comprehensive introduction to R. Students will practice programming and analyzing data with R. Students will learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models to data. In addition to a theoretical framework in which to understand the process of data analysis, this course focuses on the practical tools needed in data analysis. This course also covers the creation of dynamic reports with the knitr package in R as well as the creation of dynamic dashboards with R Shiny. By the end of the course, students will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting the code.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelBasic knowledge about computer components Basic knowledge about programming
    Prep WorkNone
    Placement TestNo
    InterviewNo
  • Data Science with R: Machine Learning (Weekend Course)

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    Data Science, R, Machine Learning
    In PersonPart Time7 Hours/week6 Weeks
    Start Date None scheduled
    Cost$2,990
    Class size40
    LocationNew York City, Online
    This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R. It will introduce you to data mining, performance measures and dimension reduction, regression models, both linear and generalized, KNN and Naïve Bayes models, tree models, and SVMs as well as the Association Rule for analysis. After successfully completing this course, you will be able to break down the mathematics behind major machine learning algorithms, explain the principles of machine learning algorithms, and implement these methods to solve real-world problems. Unit 1: Foundations of Statistics and Simple Linear Regression Unit 2: Multiple Linear Regression and Generalized Linear Model Unit 3: kNN and Naive Bayes, the Curse of Dimensionality Unit 4: Tree Models and SVMs Unit 5: Cluster Analysis and Neural Networks Final Project After 35 hours of structured lectures, students are encouraged to work on an exploratory data analysis project based on their own interests. A project presentation demo will be arranged.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelKnowledge of Python programming Able to munge, analyze, and visualize data in Python
    Prep WorkKnowledge of R programming Able to munge, analyze, and visualize data in R
    Placement TestNo
    InterviewNo
  • Deep Learning with Tensorflow (Weekends and In-Person Only)

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    Start Date None scheduled
    Cost$2,990
    Class size15
    LocationNew York City
    Via analogy to biological neurons and human perception, this course is an introduction to artificial neural networks that brings high-level theory to life with interactive labs featuring TensorFlow, the most popular open-source Deep Learning library. Essential theory will be covered in a manner that provides students with an intuitive understanding of Deep Learning’s underlying foundations. Paired with hands-on code run-throughs in Jupyter notebooks as well as strategies for overcoming common pitfalls, this foundational knowledge will empower individuals with no previous understanding of neural networks to build production-ready Deep Learning applications across the major contemporary families: Convolutional Nets for machine vision; Long Short-Term Memory Recurrent Nets for natural language processing and time series analysis; Generative Adversarial Networks for producing realistic images; and Reinforcement Learning for playing video games.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelObject-oriented programming, ideally Python (introductory course: https://nycdatascience.com/courses/introductory-python/) Simple shell commands, e.g., in Bash (tutorial of the fundamentals: https://learnpythonthehardway.org/book/appendixa.html)
    Placement TestNo
    InterviewNo
  • Full-time Online Data Science Bootcamp

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    Start Date None scheduled
    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
  • Introductory Python (Evenings)

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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 None scheduled
    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
  • Gregory Weber  User Photo
    Gregory Weber • Data Analyst • Graduate • Verified via LinkedIn
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    Before my NYC Data Science Academy Bootcamp Experience, I was a high school mathematics teacher.  In order to make informed pedagogical decisions, I increasingly relied upon data collection and data analysis.  This sparked my interest in data science.  Since I enrolled in the Summer Session of the Bootcamp, I was able to continue to receive my teacher salary for most of the 12-weeks.  

    After making the decision to enroll in a bootcamp, New York City Data Science Academy quickly became my top choice for the following reasons:

    Multiple Languages (Python and R)
    I appreciated the emphasis on learning both Python and R.  When searching for a position, this increased the number of jobs I was qualified for, and I used both Python and R during the Technical Assessments of my job search.

    Pre- and Post-Bootcamp Support
    From my research, I was convinced I would be supported before and after my bootcamp experience...which was true!  

    Pre-Bootcamp
    I had no previous programming experience, so I enrolled in 2 helpful introductory courses at the NYC Data Science Academy, one for Python and one for R.  The price for these classes was subtracted from my Bootcamp tuition.

    Post-Bootcamp
    During the final Capstone Project, many students elect to work with outside businesses that partner with the NYCDSA.  The company I worked with offered my team an additional 2-month, post-bootcamp data science internship.   This was a great learning opportunity, plus a great addition to the resume!

    Months after my bootcamp ended, I was able to participate in a free, 2-week intensive,  marketing-focused workshop led by NYCDSA Bootcamp Founder Vivian Zhang (open to any graduated bootcamp student).  The workshop was filled with marketing domain knowledge and practical applications.

    In addition, I was also able to schedule over 10 meetings with NYCDSA Career Support, Bootcamp Alumni, and Bootcamp Faculty, allowing me to brainstorm and prepare for my data scientist & data analyst interviews.

    I am very glad I chose to join the NYC Data Science Academy Community.  
    I just landed my first job as a Data Analyst, and I believe my Bootcamp Experience was worth every penny. 
  • Khamanna  User Photo
    Khamanna • Student • Verified via LinkedIn
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     This bootcamp was suggested to me by my friend. She has done very well after completing the program. I'm a bit different to her. She has a math degree and my background is in languages and business. Also, I have zero experience in Data Science or programming as a whole. 
    The curriculum allows to build the foundation first. It's not done slowly, the program is quite intense. Somehow I found myself forgetting I knew so little and understanding the course material. 
    The three months  wouldn't end and I think you just live longer during that time as you hardly ever sleep. But ultimately it's worth the long nights as you do learn a lot. 
    After the bootcamp you're given post bootcamp challenges to lock in the knowledge. Don't skip them, they are very helpful. Also, there're helpful one-hour sessions to guide your through your job search. I find them particularly useful. 
  • It Worked!
    - 2/22/2021
    Mike Sender  User Photo
    Mike Sender • Data Scientist • Graduate • Verified via LinkedIn
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    I joined NYC Data Science Academy this summer to help me make a career transition from Material Science Engineering into Data Science, and in short, it worked! I increased my salary, easily making the Bootcamp worth it as a purely financial decision, and am starting to work in a new exciting field. 

    I chose them over others because I was impressed with their instructors and they offer continuous career support after graduating.  I was not disappointed. Their instructors are passionate and knowledgeable and seem to genuinely care about teaching and helping their students. After graduating I had two internships directly from relationships and connections I made at the Bootcamp and had many interviews from the same network.  Their career services have always been available, helping me with my resume and acting as a soundboard to help prep for interviews.  

    I only recommend getting into Data Science if you love math and coding. If you do and are willing to put in the work NYC Data Science Academy will prepare you for and help you get a job. 
  • HEY - DO IT!!
    - 2/21/2021
    Richard C  User Photo
    Richard C • Graduate • Verified via LinkedIn
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    I was in your shoes not too long ago and chose to attend the full-time program in the first quarter of 2020 due to the overwhelmingly positive reviews that I read on this page. As a career switcher from finance, I think NYCDSA does a great job of helping execute the tangible steps necessary to make a switch like mine, so at this point the ball in your court to take action to change the trajectory of your career. 

    The curriculum can be best described as comprehensive - it covers Python, R, SQL, and Machine Learning techniques to provide students with the tools needed to further develop their data science skills and ultimately become competitive job candidates. That said, I must stress the importance of putting in the genuine effort to get the most out of this program. Participation in this program isn't a job guarantee, so please don't go into this thinking of this as a shortcut towards placement in an incredibly competitive field to break into. 

    I graduated in March 2020 just as the COVID-19 pandemic was starting, so things like the job fair weren't an option for me, but I do feel that the academy made an earnest effort to make up for this through engagement. Continued check-ins from staff and complimentary workshops really gave me the push I needed to keep going through this unique time and ultimately find a role as a data consultant. 

    In short, there's no time like the present, and if you can honestly tell yourself that you are willing put in the effort to learn about this awesome field, unequivocally DO IT!
  • Data Scientist
    - 1/30/2021
    Huimin Ou  User Photo
    Huimin Ou • Data Scientist • Student • Verified via LinkedIn
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    I attended the Data Science 12 week Bootcamp in Sept 2019. Making career change is definitely the best decision that I ever made. I found a job three months after graduation. 

    The professor all have PHD. They are all very knowledge and helpful. The TA mostly have master's degree and PHD. The curriculum is intensive but it is very informational. The machine learning projects that we completed are very good. I have a few interview questions that asked me to explain my machine learning project. 

    The bootcamp is expensive but it is an good investment for people who want to make quick career change. 
  • Amazing Staff
    - 1/19/2021
    Karoly Lajko  User Photo
    Karoly Lajko • Research Assistant • Graduate • Verified via LinkedIn
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    I was not sure what to expect before I enrolled. The pace is fast, the program is demanding. You need all your ability and energy for this course. The staff is composed of brilliant and kind folks who are there to support you in all possible ways. It is up to the individual  how much is taken out of the program. It is not inexpensive but certainly amazing experience and tool under your belt.
  • Haining Fu  User Photo
    Haining Fu • Graduate • Verified via LinkedIn
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    I started this program with absolutely Zero coding background. I was a little skeptical about signing up this program. However, school prep you 2 coding languages (Python and R) from scratch. Instructors are very friendly and helpful, students can reach instructors easily if you have questions. After the 4 weeks intensive basic coding training, i was able to understan and build a strong base for the advanced topic such as, Machine Learning, Visulization. There were 4 projects needed to be completed in order to finished the program. The data we aquried for final capstone project was from the company in leading industries. I would say this school opened a door for you in the data world and help you land your dream job in the future. 
  • Zack Zbar  User Photo
    Zack Zbar • Graduate • Verified via LinkedIn
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    In trying to enter the Data Science field, I came to the conclusion that the bootcamp route was my goldilocks option, somewhere between self-teaching (low cost/commitment) and a master’s degree (high cost/commitment). If you come to the same conclusion, I couldn't imagine a better bootcamp experience than NYCDSA.

    Curriculum: 
    Comprehensive and (more importantly) realistic. NYCDSA focuses on building a strong DS foundation. So instead of becoming a superficial expert on the most complicated buzz-word models, you become a solid expert on DS foundations with experience applying those foundations to projects. This turned out to be hugely important, as many of my DS job interviews focused on fundamental ML concepts, and I could give in-depth answers.

    Faculty: 
    Top notch. The instructors are experts with years of experience, and they're skilled at breaking down complex topics. This allows them to work with both beginners and advanced students. Further, they're incredibly supportive, and always available to answer questions and help with projects. For me, that alone made the investment worth it - to have experts available to help work through your questions, instead of banging your head against the wall trying to figure it out yourself.

    Job Support: 
    The Covid job market is tough, but the NYCDSA team does what they can to help. They made introductions/recommendations, hosted events, helped prep for interviews, and met with me many times for career services. Of course, at the end of the day, you’ve got to get the job… but they’re on your side every step of the way.

    The only issue I have with the bootcamp route is that going in, there’s often this “do a bootcamp, get a job” misconception. More realistically, it’s “do a bootcamp, then study for a few months independently, then commit yourself to interview prep and job hunting, then get a job.” 

    As long as you’re ready for the work, the bootcamp can be a perfect first step. For me, NYCDSA and the self-led study that followed provided the very necessary foundation of my DS career.
  • Top Notch Program
    - 11/6/2020
    David Zask  User Photo
    David Zask • Data Scientist • Graduate • Verified via LinkedIn
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    I have a philosophy degree and was working as a data analyst, but I was interested in taking my career in a more technical direction. NYC Data Science academy provided me with all of the tools to become proficient as a Data Scientist. Their 3-month program gives students a unique opportunity to gain a deep conceptual understanding of the field as well as exposure to real-world projects. No other program provides this level of immersion in the field. The projects are real data science projects that you would work on as a professional data scientist and provide you with an impressive portfolio.

    It really comes down to the people at NYCDSA from the instructors to career services and the alumni network. They are all ready to make a significant investment in you and your career as a data scientist. I loved learning from my instructors and from my peers. I truly feel like I am part of a community. Even in difficult economic times, you are put into a great position to launch a career as a Data Scientist. You need to be willing to invest a lot of time, but the investment pays off!
  • Matthew Boccio  User Photo
    Matthew Boccio • Graduate • Verified via LinkedIn
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    NYCDSA went above and beyond to make sure that their students had a stellar bootcamp experience despite being in the midst of a global pandemic. Having a "live online" model meant that we were all taking classes remotely, but that instructors were giving their lectures live through zoom and using screen sharing to share lecture notes, slides, and example code. Instructors and TAs were very readily available digitally, and made sure to make themselves available to teach and answer questions at almost all hours of the day. 

    Aside from the impressive response to COVID, overall the curriculum was very involved - a difficult but worthwhile challenge for both beginners and experts alike! The coursework is designed to push you and involve real-world datasets as examples in your analysis, and projects give you a real sense of how to approach data analysis in an intelligent way. This a great place to learn!
  • good school
    - 10/10/2020
    Baptiste  User Photo
    Baptiste • Student • Verified via LinkedIn
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    A good school, open, with high level professors. Courses are introductive, but if you have deeper questions, there is no problem, the staff is there for you, which is great and adaptive for everyone. The job assistance is very effective, and they help you to be your best!
  • Catherine Tang Kim Sin  User Photo
    Catherine Tang Kim Sin • Data Science Intern • Graduate • Verified via LinkedIn
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     i started this program during the pandemic and absolutely no regrets. i was skeptical having it online at first but the instructors and TA's make it as hassle-free as possible to help you out. Its tough but worth the handful of sleepless nights. 

Thanks!