About
About
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.
Recent NYC Data Science Academy Reviews: Rating 4.83
Recent NYC Data Science Academy News
- Compare Data Science Bootcamp Costs
- December 2016 Coding Bootcamp News Roundup
- Alumni Spotlight: Kelly Mejia Breton of NYC Data Science Academy
Courses
Courses
12-Week Immersive Data Science Bootcamp (In-person)
ApplyMySQL, Data Science, Git, R, Python, Data Visualization, SQL, Hadoop, Machine Learning, Spark, Linux, Data Analytics
In PersonFull Time420 Hours/week12 WeeksStart Date January 6, 2020 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 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 More Start Dates
January 6, 2020 - New York City Apply by December 17, 2019March 30, 2020 - New York City Apply by March 18, 2020
Big Data with Amazon Cloud, Hadoop/Spark and Docker
ApplyStart Date January 14, 2020 Cost $2,990 Class size 10 Location New 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
Deposit N/A Getting in
Minimum Skill Level Students are expected to be familiar with using an operating system from the command line; knowledge of Python is helpful. Placement Test No Interview No More Start Dates
January 14, 2020 - New York City Apply by January 13, 2020April 21, 2020 - New York City Apply by April 20, 2020
Data Science with Python: Data Analysis and Visualization (Weekend Course)
ApplyData Science, Python, Data Visualization, Data Analytics , Data Structures, Algorithms
In PersonPart Time4 Hours/week6 WeeksStart Date January 19, 2020 Cost $1,590 Class size 20 Location New 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
Deposit N/A 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 Knowledge 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 Test No Interview No More Start Dates
January 19, 2020 - New York City Apply by January 18, 2020March 7, 2020 - New York City Apply by March 6, 2020April 19, 2020 - New York City Apply by April 18, 2020June 13, 2020 - New York City Apply by June 12, 2020
Data Science with Python: Machine Learning (Weekend Course)
ApplyStart Date January 19, 2020 Cost $1,990 Class size 10 Location New 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
Deposit N/A Getting in
Minimum Skill Level Completion of Data Science with Python: Data Analysis; Data Science with R: Machine Learning Placement Test No Interview No More Start Dates
January 19, 2020 - New York City Apply by January 18, 2020March 7, 2020 - New York City Apply by March 6, 2020June 13, 2020 - New York City Apply by June 12, 2020April 19, 2020 - Online Apply by April 18, 2020
Data Science with R: Data Analysis and Visualization (Weekend Course)
ApplyData Science, R, Data Visualization, Data Analytics , Data Structures
In PersonPart Time7 Hours/week6 WeeksStart Date January 18, 2020 Cost $2,190 Class size 15 Location New 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
Deposit N/A Getting in
Minimum Skill Level Basic knowledge about computer components Basic knowledge about programming Prep Work None Placement Test No Interview No More Start Dates
January 18, 2020 - New York City Apply by January 17, 2020April 18, 2020 - New York City Apply by April 17, 2020
Data Science with R: Machine Learning (Weekend Course)
ApplyStart Date January 18, 2020 Cost $2,990 Class size 40 Location New 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
Deposit N/A Getting in
Minimum Skill Level Knowledge of Python programming Able to munge, analyze, and visualize data in Python Prep Work Knowledge of R programming Able to munge, analyze, and visualize data in R Placement Test No Interview No More Start Dates
January 18, 2020 - New York City Apply by January 17, 2020April 18, 2020 - New York City Apply by April 17, 2020
Data Science with Tableau (Online)
ApplyStart Date Rolling Start Date Cost $1,590 Class size 20 Location Online This course offers an accelerated intensive learning experience with Tableau – the growing standard in business intelligence for data visualization and dashboard creation. Without prior experience, students will learn to work with multiple data sources, create compelling visualizations, and roll out their data science products for continuous, scalable outputs to key stakeholders. By building insight and weaving narrative, students will be empowered to harness data in a striking way that provides value to organizations large and small. This course offers an accelerated intensive learning experience with Tableau – the growing standard in business intelligence for data visualization and dashboard creation. Without prior experience, students will learn to work with multiple data sources, create compelling visualizations, and roll out their data science products for continuous, scalable outputs to key stakeholders. By building insight and weaving narrative, students will be empowered to harness data in a striking way that provides value to organizations large and small. We utilized 4 user cases drawn from finance (public data from major stock exchanges) and sitcom data (Game of Thrones 1 ).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 Know how to use Mac, Windows. Familiarity with relational databases is preferred but not required. gain a greater appreciation for the logic underlying Tableau’s features utilize their capstone project to visualize ‘big data’ Prep Work Before the course begins, pre-work will be available for students interested in strengthening their ability to access and extract data from relational databases (e.g. SQL-based servers). Placement Test No Interview No
Deep Learning with Tensorflow (Weekends and In-Person Only)
ApplyData Science, Python, Game Development, Machine Learning, Artificial Intelligence
In PersonPart Time6 Hours/week6 WeeksStart Date None scheduled Cost $2,990 Class size 15 Location New 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
Deposit N/A Getting in
Minimum Skill Level Object-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 Test No Interview No
Introduction to Python (Online)
ApplyStart Date Rolling Start Date Cost $795 Class size 25 Location Online The Introduction to Python covers the basic Python programming. Graduates will be able to write Python programs that read files, manipulate strings, and perform mathematical computations. The class is hands-on; participants will learn to write Python program by practicing coding along the way. The course covers most of the basic features of the Python language, including built-in data types and control structures, Python’s featured supporting object-oriented and functional programming, intro to Pandas, and regular expression.Financing
Deposit 795 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 Comfort with Windows, Mac or Linux environment and ability to install third-party software. Prep Work 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. Placement Test No Interview No
Introductory Python (Evenings)
ApplyMySQL, Data Science, Python, Data Visualization, Data Analytics , Data Structures, Algorithms
In PersonPart Time5 Hours/week2 WeeksStart Date January 14, 2020 Cost $1,590 Class size 40 Location 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. 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 / 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 More Start Dates
January 14, 2020 - New York City Apply by January 13, 2020March 9, 2020 - New York City Apply by March 8, 2020April 20, 2020 - New York City Apply by April 19, 2020June 2, 2020 - New York City Apply by June 1, 2020
Live Online Data Science Bootcamp (Online)
ApplyMySQL, Data Science, Git, R, Python, Data Visualization, SQL, Hadoop, Machine Learning, Spark, Linux, Data Analytics
In PersonFull Time28 Hours/week12 WeeksStart Date January 6, 2020 Cost $14,960 Class size 25 Location Online Our Live Online Bootcamp is an online full-time program. We live-stream our on-campus classes to the remote intensive bootcamp students. 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. Live Classes: You will learn real-time streamed lectures as well as have access to prerecorded modules and coding questions for additional practice. Live Communication: They will learn real-time 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
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 More Start Dates
January 6, 2020 - Online Apply by December 17, 2019March 30, 2020 - Online Apply by February 15, 2020March 30, 2020 - Online Apply by March 18, 2020
Part-time Online Data Science Bootcamp (Online)
ApplyData Science, R, Python, Data Visualization, SQL, Machine Learning, Spark, Virtualization, Data Analytics , Data Structures, Artificial Intelligence
OnlinePart Time28 Hours/week26 WeeksStart Date Rolling Start Date Cost $17,600 Class size 25 Location Online 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
Deposit 17600 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
Review Guidelines
- Only Applicants, Students, and Graduates are permitted to leave reviews on Course Report.
- Post clear, valuable, and honest information that will be useful and informative to future coding bootcampers. Think about what your bootcamp excelled at and what might have been better.
- Be nice to others; don't attack others.
- Use good grammar and check your spelling.
- Don't post reviews on behalf of other students or impersonate any person, or falsely state or otherwise misrepresent your affiliation with a person or entity.
- Don't spam or post fake reviews intended to boost or lower ratings.
- Don't post or link to content that is sexually explicit.
- Don't post or link to content that is abusive or hateful or threatens or harasses others.
- Please do not submit duplicate or multiple reviews. These will be deleted. Email moderators to revise a review or click the link in the email you receive when submitting a review.
- Please note that we reserve the right to review and remove commentary that violates our policies.
Click here to log in or sign up and continue.
- 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.
- Excellent experience! Highly recommend!- 11/17/2019Chung-Hsuan Huang • Data Scientist • Graduate • Course: Live Online Data Science Bootcamp (Online) • Campus: Online • Verified via LinkedIn
I did some research on data science online (Course report and switchup) before I made a decision. I chose NYCDSA because they covered both Python and R, their instructors are knowledgeable and professional, and comprehensive curriculum. Especially I have to use both R and Python in my work, so I think knowing both languages will open more opportunities when looking for a job.
NYC Data Science Academy did a great job of helping me acquire the necessary skills in Data Science before, during, and after the bootcamp. The pre-bootcamp materials helped me get familiar with the essential R/Python coding skills and speeded up the learning curve during the bootcamp. I highly recommend whoever wants to join a bootcamp should get prepare before the bootcamp, and NYCDSA does a great job in providing necessary materials in R/Python coding.
During the bootcamp, the course work is very intensive. Although I already have coding experience and mathematical background, I still need to spend at least 12 hrs a day to study and finish homework and projects. However, the instructors and TAs are doing their best to ensure everyone can get the most out of the courses. As a remote student, I can't meet them in person, and they are still very responsive through messages or video meetings. During the bootcamp, I finished four projects to showcase my skills. One of them is solving the real business problem from the company, which is valuable when I was looking for a job. The academy also teaches you how to express your projects during the interview.
They have a robust professional network and hold a hiring event one week after each cohort. You will have the opportunity to expand your network and show your skills to various companies that are looking for data scientists or data analysts. They also dedicated to supporting you find a great job. Vivian did a fantastic job helping me with my interview processes and giving me valuable feedback.
Overall, I have a very positive experience with NYCDSA. I was suspicious if a bootcamp can make me transit into a data scientist when I looked for a data scientist bootcamp. However, I found a great job a month after I finished the bootcamp. This program is worth the hard work I put. I am glad that I made this decision a half year ago.
- Amazing experience- 10/25/2019Jason • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
I graduated at the end of March(Cohort 16).
Before having the bootcamp, I have no coding or computer science related background. I thought I would fail and not able to get into the industry.
However, after I took the bootcamp, I learned a lot of coding and Data Science related skills, and this academy has changed my life.
While I was in the Bootcamp, I made a lot of friends and everyone including staff are so kind.
After graduating from the program, NYCDSA still provides the best career support and connection to help every one of us to get a job.
They really care about every one of the students, and this makes me feel like a home.
The feeling here is irreplaceable, and this is one of the important things an academy should have.
- Superb experience!- 10/24/2019Yuce Dincer • Data Scientist • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
After spending 9 years in business sales, I wanted to go back to my technical roots and started looking into data science bootcamps that could help me make a career transition. I looked into all the major schools within the data science bootcamps and finally decided to join the NYC Data Science academy thanks to the reviews as well as the comprehensive curriculum.
One thing that I was very satisfied about at the bootcamp was the hands on help that I got whenever I needed it. The entire school staff wants you to succeed and achieve your goals and they do everything they can do make that happen. Can’t thank them enough for having my back in this journey.
As far as job hunting, the academy provides ample material on how to get ready for the job search process from resume reviews to interview prep to bringing employers in the school for interviews. There are always exclusive job postings on the internal website and the school has an incredible network, so it’s always been easy getting introductions to school alumni or key executives from target companies. I ended up receiving 2 offers, and joined a major tech company as a data scientist.
NYCDSA is highly recommended! It is worth the time and the money in gold!
- “12-Week Immersive Data Science Bootcamp”- 10/23/2019Oluwole Alowolodu • Data Scientist • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
I joined NYC Data Science Bootcamp earlier in the year 2019 after careful comparison with other Bootcamps, they appeared to have alot more to offer, and having completed the training now, I have no regrets. Excellent curriculum, knowledgeable instructors and helpful job assistance structure.
- 12 Week Full Time Bootcamp- 10/4/2019Jimmy Jing • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
This bootcamp has comprehensive materials and structures its bootcamp with a 3 hour lecture each morning followed by a 1-2 hour afternoon lab/mini lecture. The pace is extremely fast (We only spent a few hours going over Logistic Regression) and I recommend all students to put in as much work as possible outside of school to maxmize the value of the bootcamp. NYC DSA has a solid environment for learning but MOST of the learning comes from the student putting in effort. It is extremely easy to simply attend the bootcamp and leave with a very bare surface level understanding of numerous topics. I recommend going over lecture notes each night and previewing lectures (watching the full 3 hour video(maybe at 2x speed)) the night before to have a basic understanding to ask questions during class. There is probably nothing more beneficial than previewing the lecture before attending imo. The bootcamp value is exactly what you put into it.
- Priya Srivastava • Senior Cloud Data Engineer • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
NYC Data Science Academy is the place where you would learn the niche skill sets required to excel as a Data Scientist or Data Engineer in a friendly environment. This is one of the best investment I have done in my career. Having said that, be ready to learn a lot in just 12 weeks of time. It is an intensive course and you learn proportional to the effort you put. Their pre-work was really helpful in transitioning into the Bootcamp. So I would suggest anyone to definitely do the pre-work before entering the Bootcamp and do the homework during the Bootcamp; they give you a good hands on exposure to what was covered during the lectures. I did four projects which were very rewarding as well. I got to talk about my hands on experience gained doing the projects in the interviews. The instructors and Vivian, the CTO of the academy were very approachable. I felt like family here. They provide a good Resume and interview prep support. I must mention I was praised on my resume during the interviews and I had a good ratio of interview calls per application. I landed my dream job in just 2 months post completion of the Bootcamp. I you are ready to learn and put effort, you will find plethora of material, guidance and support here. I have had a positive experience at NYC Data Science Academy . I learned, made friends, networked and progressed in my career.
- 12-Week Immersive Data Science Bootcamp- 8/3/2019Heather Kleypas • Growth Analyst • Graduate • Course: Live Online Data Science Bootcamp (Online) • Campus: Online • Verified via LinkedIn
NYCDSA was referred to me by professionals in the industry. I chose the remote bootcamp and learned a vast amount of topics including SQL, R, Python, and Hadoop & Spark. During my studies, I published 4 blog posts of project work ranging from a visual analysis of the American Music Awards to predicting housing prices. I had an assigned TA who I met with weekly to discuss my courses and homework, which was very helpful. Interview prep was also a great asset to the program. Upon graduating I received a grad package with a NY State Board of Education certificate included. I received a job offer within a month of graduating as a Growth Analyst.
- An Incredibly Rewarding Experience- 7/15/2019Sean Justice • Data Scientist • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
After working as a computer engineer for 11 years, I decided to pursue a career change in to data science. I looked at a number of different programs available across the country, and I ended up deciding to go with the NYC Data Science 12 week intensive program. One of the largest advantages that program had over others is that they teach both Python and R. I think that both languages have their place in data science, but the biggest benefit from learning both is that the core elements of the program were first introduced in one language and were later reinforced in the other language. I found this to be especially helpful for creating a solid foundation during the machine learning portion of the course.
The program was very demanding, but it was definitely the type of experience where you get what you put in. The instructors and the TAs were all incredibly helpful and responsive whenever I had difficulties with the projects or understanding any of the course materials.
The job assistance resources that the program provided were incredibly valuable, from special sessions that were targeted at helping us create a great resume to a hiring event with a large number of prospective companies. The outreach from the school didn’t end once the program was finished, and they were a very valuable resource while I was searching for employment in my new field.
I would say that overall the program was a great experience, and I am very happy that I decided on attending the NYC Data Science Academy.
- Matthew Rautionmaa • Data Analyst • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
Attending NYCDSA was an incredible experience that allowed me to pivot my career from traditional finance into Data Science and land me a great job with a well-improved salary soon after graduation. I chose it over other bootcamps in NYC because it taught both R and Python, had a strong alumni network, and had a collaborate and family-like environment that made every day enjoyable.
Be prepared to work very hard and learn a lot in a short amount of time. The curriculum is intense, covers all major areas of data science and teaches you the most up-to-date tools in data analysis, stats, coding and machine learning. I knew only basic SQL and stats before this so it was very challenging for me to learn more advanced stats, Python, R and machine learning in just 3 months. That being said, I typically stayed at the bootcamp 10 hours a day and often 12-14 hours during projects, which helped me learn faster. The TA’s and instructors were always available to provide assistance which aided in the learning process as well.
Because I spent so much time at the bootcamp around like-minded individuals, I became good friends with many people in my cohort, many of which I still keep in touch with post-graduation. Collaborating on group projects, helping each other with homework, happy hours, and late nights made the experience a lot of fun and made the learning easier.
Overall, you get what you put into it. Even as one of the least experienced in my cohort, I was able to keep up and become proficient in coding R, Python, SQL, and build a strong portfolio with practical experience in machine learning by putting in the time. The job assistance prepared me as well as it could have and helped tremendously in getting me more interviews, and performing to the best of my ability during interview behavioral questions, whiteboarding and case studies. I highly recommend this program to anyone looking to get into data science or improve their data science skills.
- Great experience, highly recommend- 5/29/2019Yadi Li • Data Analyst • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
I have a Ph.D. in Organic Chemistry, and was looking for a career change before coming to NYCDSA. A friend of mine who had finished the bootcamp and got his Data Scientist job shortly after introduced me to the bootcamp.
The program was quite intense and comprehensive. The course materials are well prepared and presented. As someone who didn't have much prior coding experience, I was able to absorbing pretty much everything without any problem. Out of the bootcamp, I felt very confident about my technical skills and understanding of data science.
The job assistance from NYCDSA was valuable for me. They had sessions during the program to prepare resume and workshops for graduates to prepare for interviews. More importantly, their hiring event and referrals helped me to get interviews so that I can show the skills I have gained from the bootcamp. In fact, I got my job through their referral.
Overall, it was a great experience for me. If you are motivated, interested in data science and willing to put in your effort, the bootcamp will be a rewarding journey for you.
- Meaningful experience!- 5/24/2019Christina • Student • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
I was glad that I took the bootcamp in NYC Data Science Academy where I started my journey in data science. I had some experience in data analytics before coming to the bootcamp and I really want to learn more about machine learning and algorithm. The bootcamp does a great job in offering the intro to ML, Deep learning etc and I really appreciate the way in which we worked as a group to finish our ML and capstone projects. It is intensive but it's definitely rewarding if you put all your efforts in. The instrutors and TAs are helpful in guiding us with homework and projects. I also made friends with some bootcamp alumni who are both supportive and wholesome. I finally decided to do a master degree in Data Science and the experience in bootcamp contributes a lot in my application. They also connected me to previous graduate who was able to refer me for internship opportunities. If there is one thing that the bootcamp could improve, it would be that the instructors don't have much experience working in the industry before they become the faculty. It would be more helpful if they know the industry expectation and how to tailor the curriculum to the industry demand. In all, I really recommend this bootcamp!
- Gabrielle White • Sr. Product Manager, Data and Analytics • Student • Course: Data Science with Python: Data Analysis and Visualization (Weekend Course) • Campus: New York City • Verified via LinkedIn
I took the Python Data Analysis course and found it very well structured and useful. My instructor Anthony Schultz did a great job covering both theoretical and concrete concepts all the while with a sense of humor and funny analogies.
I'm leaving the five weeks feeling that I have a solid foundation of the basics of python and how it can be applied for data analytics and task automation.
- rafal zabinski • Graduate • Course: Introductory Python (Evenings) • Campus: New York City • Verified via LinkedIn
I attended the Introductory Python course.
I really enjoyed this class and after just one month I feel like I have strong foundation of Python. (I had no coding expirience prior taking the course).
Classes were a combination of theory and practice. Anthony Schultz did a great job with covering all necessary course material and making it interesting and funny!
- Ivan Vasilev • Product designer • Student • Course: Introductory Python (Evenings) • Campus: New York City • Verified via LinkedIn
I learned a lot about Python and working with data. I had no prior experience with Python but after this short introductory course, I started to actually understand what, why and when I can do with Python and actually use in for data analysis.
Anthony Schultz comes up with awesome metaphors that can really explain how stuff works and why it is important.
I really loved the way the course is structured: we had some theory followed by short practicing that helped to understand the given information better and to stay on track.
- Mikhail Stukalo • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
I went through the NYCDSA 12-week Bootcamp in Fall 2018 and later stayed as a TA for the next cohort.
Before joining the Academy, I had a significant coding experience both in R and Python. Still, I learned a lot. My main goal was to structure my knowledge and learn how to code at the production level. Also, I figured that the program would strengthen my resume as I was switching from investment banking/VC world to Data Science.
The Bootcamp is a very immersive experience, and as it is the case with many programs, you get out what you put into it. The curriculum is packed with practical and theoretical knowledge and can keep you busy most evenings/nights during the Bootcamp. For those who have limited or no coding experience, there is a pre-course work online with hours of training videos and hundreds of exercises. Instructors are extremely knowledgeable and can be a great asset if you decide to experiment with your Capstone Project.
Speaking of the Capstone, the Bootcamp leaves you with four projects: web-scraping, visualization, Machine Learning, and a Capstone of your choice. These projects were beneficial for me when I talked to potential employers.
Now probably the most crucial part. The school is very well connected with high calibre hiring partners from various industries. Most of my classmates landed jobs within a couple of months after graduation. In my case it, it took about two months of a very focused search to get two offers from the companies I dreamt working for.
All in all, I could not be happier with my experience.
- Completely Exceeded Expectations- 5/15/2019Ben Rosen • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
This bootcamp completely exceeded my expectations. The curriculum was challenging and thorough. The instructors were intelligent and very helpful outside of the classroom. My classmates were very bright, helped foster a fast paced program, and I never expected that we’d have a lot of fun together too. Of course the bootcamp helped with my Python, R, and SQL skills, but I also gained public speaking and teamwork skills from the project-focused curriculum. The career advice given to us about job-searching, communication skills, and analytics in the workplace were valuable too. 11/10.
- Rewarding and challenging experience!- 5/14/2019Eric Adlard • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
The NYC Data Science Academy is an amazing place to get started if you are looking to make a transition into Data Science.
That being said, you really need to do the pre-work before the boot camp and having math and stats knowledge is very helpful. The program is very challenging and covers a broad range of material to get you exposed to the vast realm that is 'Data Science'.
You will work with great instructors who are extremely helpful and really care about the students. If you put in the effort it is truly a transformative experience. I could not have landed my most recent job without the skill set I acquired in this boot camp. Finally, you will also make a few friends along the way with your great classmates :)
- Rewarding experience!- 5/12/2019Derek Li • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
I attended the immersive 12-weeks bootcamp during fall cohort 2018. It took me a while to write this review because I am busy but happily working as a Data Scientist, solving exciting and challenging data problems.
The instructors are very attentive and helpful. If you are Math/Statistics background, it would help a lot during the bootcamp. But the instructors make sure you understand the theories through well-designed course structure, examples and practices no matter what your background is.
Not only do they teach you on data science and technical tools, but they also offer exceptional advice on searching and interviewing for jobs. Their support is amazing and is what helped me get my current job. Special thanks to Luke and Vivian!
The immersive program was intense but I also learned a lot from fellow students. I made a lot of great friends through the bootcamp. You get to know people from various academic backgrounds and industries. You would learn how they formulate solutions to data problems in their domain, which are always enlightening. Shout out to team JLP aka team Ostrich Pillow!
- David Corrigan • Bioinformatics Data Scientist • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
I joined NYCDSA for their 12-week bootcamp in fall 2018. I had graduated with a PhD in biology that summer, but I was looking to improve my data science skills (which were limited to basic knowledge of R) to work towards a more quantitative scientific career. My decision paid off, as I am now working as a bioinformatics data scientist after a relatively short (~2 month) job search and interview process.
NYCDSA has a great deal to offer to anyone looking to move into data science. They provide excellent career counseling throughout the course and connect students to a large number of opportunities in many different fields (finance, marketing, biomedical, business operations, etc) through in-course talks/panels, and a very large career/hiring event after completion. The career guidance is an invaluable aspect of the course.
During these 12 weeks, I learned more than I thought possible. I was one of those who considered trying to teach data science to myself. After doing the bootcamp, I would now discourage this for the following reasons: 1) The projects: You will complete 4 thorough projects, with experienced instructors and TA’s, which will serve as a critical piece of your resume during the application process. *I specifically went through my projects and code while interviewing for the job that I ultimately accepted. 2) The aforementioned career guidance, which was so indispensable. And 3) You will learn far more efficiently here than you would on your own. There is simply too much material to learn in such a short time – without knowledgeable instructors who know how to plan and execute a curriculum, you will take much longer to master the same amount of material.
Be warned – the course is very challenging and will require a lot out of you. It is designed, and is most effective, for driven individuals looking to push hard and create opportunities for themselves in the data science field. A small number of the students were frustrated by the amount of content and workload, but in my opinion, NYCDSA is teaching you as much as you need to be competitive as a data science candidate. Read other reviews from people with no coding experience who were hired as data scientists – this is only possible because of the challenging 12-week curriculum offered here. Bottom line, it’s a great career move if you are properly motivated – I highly recommend it!
- Great bootcamp- 5/8/2019Mimi • Data Analyst • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
The bootcamp provided absolutely everything we needed to boost our resume and give us the skills we needed to start out as a Data Analyst or Scientist. I was offered a position and started working immediately after the bootcamp, and it was due to the resume tweaking and data analysis skill set that I obtained in such a short time.
- Pranati Jain • Course: Data Science with Python: Data Analysis and Visualization (Weekend Course) • Campus: New York City • Verified via GitHub
I attended the 5 week Python course with Anthony Schultz . The syllabus was extremely comprehensive and provided a very well structured approach to Python and its applications. Anthony was a fantastic teacher and effectively covered a wide range of concepts and topics in a short time period. I enjoyed the weekly homework problems as well - they cemented what was learnt in class and really made me think. I feel a lot more comfortable in my coding abilities and would highly recommend this course.
- Confidence-Inspiring !- 4/15/2019Bob Trieste • Finance & Investments • Course: Data Science with Python: Data Analysis and Visualization (Weekend Course) • Campus: New York City • Verified via GitHub
New York Data Science Academy & Python for Data Anslysis and Visualization
This course was not only extremely cutting-edge for all of today's industries and work areas but it gave me a great deal of confidence to continue my data and computer science studies at the next level. This course has actually inspired me to not only enroll in other NYC Data Science Classes but also think longer-term about continuing graduate level work in CS. This was my first class at NYCDSA and all I an say is I am extremely grateful to have had Dr. Anthony Schwartz as an instructor. Anthony kept the material vibrant and fun with colorful analogies that made the subject matter easy to digest and remember. This allowed for both an esoteric understanding of what was happening "inside the code" coupled with real-world applications that began to streamline and automate a lot of my day-to-day work right after Class 1.
I cannot day enough good things about NYCDSA and Dr. Shultz !!
Bob Trieste
Long Island, NY
- Thorough introduction to Python Data Analysis- 4/14/2019Trang Nguyen • Student • Course: Data Science with Python: Data Analysis and Visualization (Weekend Course) • Campus: New York City • Verified via LinkedIn
I had the Python Data Analysis class with Tony. He did a great job in explaining Python in details and gave specific examples every time new knowledge was introduced. I would definitely take his class again.
- Not for everyone, but can be really great.- 3/18/2019John • Graduate • Course: 12-Week Immersive Data Science Bootcamp (In-person) • Campus: New York City • Verified via LinkedIn
This is perfect for you if you already have some coding and math background and want to tie it all together into data science. The instructors are invested and clearly know their stuff, but with this kind of material you really need to apply yourself and study on your own to gain a complete understanding. You will acquire a good foundational understanding of machine learning techniques, but I think even more valuable is the broad (though in some places not super deep by necessity) exposure to lots of different data science and data engineering tools (R, pandas, AWS, Spark, Hadoop, Keras). The field is huge, and this is a good place to start. You can go a lot of different directions with the knowledge you gain here.