NYC Data Science Academy
NYC Data Science Academy Reviews and Complete Guide
Based in New York City, NYC Data Science Academy offers in-person and online training for people who want to pursue a career in data science or web development. What should you expect from this data science bootcamp? This comprehensive review will highlight the tuition cost, courses, financing options, and potential interview questions.
What Do You Need to Know about NYC Data Science Academy?
The NYC Data Science Academy is specifically designed for experienced data scientists with a PhD or master’s degree. It offers several learning options for students including online, part-time, in-person, short courses, and fast-paced.
At the end of the bootcamp, students will have five projects in their portfolio to show potential employers. They will also be armed with the right skills to succeed in their careers.
| Locations | NYC, Online |
| Tuition | $17,600 |
| Financing Options | Private Loans, Upfront Payment |
| Start Dates | Mar 19, Jun 11 |
| Program Types | Online, Full-Time, Part-Time |
| Courses | Web Development, Data Science |
Where Are NYC Data Science Academy’s Campuses Located?
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NYC Data Science Academy is located in New York City. You should be aware that some courses can only be taken in-person and are not available remotely.
- New York City
- Online
How Much Is Tuition at NYC Data Science Academy?
The NYC Data Science Academy has an affordable slate of courses. The main bootcamp costs only $17,600, with a $5,000 deposit needed to secure a seat.
The prep courses cost different amounts depending on how you package them. The three-in-one option costs $5,000, while a single prep course costs around $2,800.
How Can You Pay NYC Data Science Academy Tuition?
NYC Data Science Academy has a few financing options available to cover the cost of tuition, including loan financing and installments.
NYC Data Science Academy Scholarships
At this time, NYC Data Science Academy does not offer any bootcamp scholarships to students.
ISAs
NYC Data Science Academy does not offer an Income Share Agreement (ISA). The school does not offer a guarantee that it will refund part of the tuition if a student is unable to land a job within a stipulated time. Students are required to pay in full.
Loan Financing
NYC Data Science Academy provides private loans through its partners Climb Credit and Ascent Funding. Climb Credit offers fixed interest rate loans to cover students with no credit. Ascent Funding, meanwhile, offers interest rate loans over three to five years regardless of employment status, current income, or educational background.
Installments
NYC Data Science Academy does not offer an installment option. Students are expected to make an initial deposit of $5,000 after acceptance, with the balance due before classes begin.
Can You Use the GI Bill at NYC Data Science Academy?
NYC Data Science Academy does not accept the GI Bill.
What Courses Does NYC Data Science Academy Offer?
NYC Data Science Academy offers several data science-focused courses. Both aspiring and current data scientists can benefit from the school’s programs. This bootcamp is ideal for people who want to kickstart their data science careers, while data scientists who want to advance their skills can benefit from the expert and intermediate classes.
12-Week Data Science Bootcamp – In-Person
This course covers both intermediate and beginner levels of data science. Students will learn Python, R, Hadoop and Spark, SQL, Github, as well as other Python packages like Caret, XgBoost, Pandas, ggplot2, scikit-learn. After learning the basics, students will work on different projects that can later be added to their portfolios.
Big Data with Amazon Cloud, Hadoop/Spark, and Docker – In-Person
This course covers the main components of Apache Hadoop which includes Hive, Spark, HDFS, and MapReduce with streaming. The programming language for the course is Python and it begins with a review of the concepts of Python. The course uses an interactive format for learning Hadoop.
Data Science with Python: Machine Learning – In-Person
This machine learning course is a weekend course covering the basic methods of machine learning as well as Python modules for implementing them. After completing the program, students will successfully understand machine learning algorithms and how to analyze complex datasets. They will also be able to make predictions based on these methods.
Deep Learning with Tensorflow – In-Person
This course focuses on game development, data science, artificial intelligence, machine learning, and Python. It is an introductory course to artificial neural networks.
Full-Time Data Science Bootcamp – Online
This course is fully remote. Students learn Python and R along with machine learning. They will also focus on learning deep learning and big data. It includes streamed lectures as well as coding questions and prerecorded modules.
Part-Time Data Science Bootcamp – Online
This part-time course focuses on data visualization, data science, Spark, data analytics, SQL, data structures, Python, artificial intelligence, and machine learning.
How to Get Accepted into NYC Data Science Academy
It can be difficult to be accepted at NYC Data Science Academy. The school has a relatively low acceptance rate. Professionals have a greater chance of being accepted, but beginners can get accepted into the intermediate programs. The school offers some prep courses that can increase your chances of being accepted.
NYC Data Science Academy Acceptance Rate
NYC Data Science Academy has not published information about its acceptance rate.
NYC Data Science Academy Application Process
The application process for this school is simple. It involves an online application, a video interview, and a technical assessment.
- Submit an application and self-assessment. The assessment will help the admissions team understand your personality. It takes around 15 minutes to complete.
- The next step is a video interview with the admissions team.
- After passing the video interview, you will need to complete a technical assessment to check your suitability for the program. You will have 48 hours to finish the assessment.
- If you pass the assessment, the admissions team will review your application and decide if you will be accepted.
NYC Data Science Academy Interview Questions
NYC Data Science Academy conducts a video interview and you will be expected to answer technical questions. Below are some of the topics you should expect.
- Your programming experience.
- Your career goals.
- Your experience with data science tools.
- Technical, problem-solving questions.
How Can You Prepare for NYC Data Science Academy?
Before attending most bootcamps, taking a prep course is highly recommended. NYC Data Science Academy offers a few prep courses for both beginners and intermediate learners.
- Introductory Python – This introductory course concentrates on language basics including control structures, list and string manipulation, and simple data analysis packages.
- Data Science with Python: Data Analysis and Visualization – This prep course is an introduction to Python and data science. It starts with how to use Python for different data structures and covers visualization modules like pandas, NumPy, and seaborn.
- Data Science with R: Data Analysis and Visualization – This prep course teaches students the data analysis process as well as the theoretical framework. It also focuses on the tools needed for data visualization and analysis.
Is NYC Data Science Academy Worth It?
NYC Data Science Academy has a lot to offer when it comes to data science training. If this is your main interest, then NYC Data Science Academy is worth it. The school teaches the necessary skills to start a career in data science or web development.
However, if you want a bootcamp that focuses on other tech-related courses like project management, UX or UI design, or front end development, then this school may not be the right choice. Other coding bootcamps will be equipped to provide a wider range of courses.
NYC Data Science Academy Job Placement
More than 93 percent of NYC Data Science Academy graduates find a job within six months of graduating. Many of them land tech jobs. The school makes this result possible by partnering with companies to help place graduates in rewarding positions.
Even though there is no job guarantee, to help prepare students for their job search, the school offers comprehensive career services such as resume reviews, interview session practice, LinkedIn profile improvements, and a hiring partner event series.
There are also mock interviews and coding challenges to prepare students for technical interviews. Even after graduation, students will have access to career resources. All of these factors contribute to the school’s successful job placement rate.
Does NYC Data Science Academy Offer a Job Guarantee?
NYC Data Science Academy does not offer a job guarantee. This means that it does not refund tuition if a graduate does not get a job after graduation.
Should You Apply to NYC Data Science Academy?
NYC Data Science Academy is a prominent coding school in New York City. While it doesn’t have a high acceptance rate, it does have a high job placement rate, with 93 percent of graduates finding a job within a few months.
If you’re looking for an immersive data science bootcamp to start your tech journey, this school may be an excellent option to consider.
Price Range
$0-$17,600Programs Available
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6 Reviews
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Anonymous
I graduated from the graduate program in media management at Gebelli Business School of Fordham this year and got the certificate of data visualization at Parsons School of Design.
I picked NYC Data Academy because it is the only institution which offers bilingual programming training. I made the comparison between NYC Data Academy, General Assembly, and the Flatiron School. And I think NYC Data Academy has the most comprehensive curriculum I need to be a data scientist.
I like how the class material is designed — It teaches you to learn coding step by step, and trains you with case studies. The depth and width of the study material are the best I have ever seen.
The thing I think they can improve is that I hope there could be more one-to-one sessions. Sometimes I feel I would like to solve the problem with my solutions, and I need to talk to someone. In this case, I can even pay more to review with teachers for my solutions in person.
What’s more, I think I will be happier if they offer healthier snacks. Normally we have oatmeal bars, but I think it is too sweet.
In the immersive three months of training, I gained the knowledge of being a data scientist and worked with companies on real data projects. Being treated and trained in a professional way has benefited me from having the boldness to face the job market and build my own projects.
It has been a great experience for me, and I highly recommend them.
January 5, 2020
Anonymous
I enrolled in the five-weekend course for Data Analysis and Visualization with Python taught by Tony Schultz that spanned from June to July 2019. Tony is experienced, energetic and hard working and did a great job in presenting the material. He was also very helpful before/after class answering questions related to the homework as well as more general topics related to data science. Of note I appreciated that he covered various ways of solving classroom and homework problems which helped highlight Python’s flexibility. The course helped me develop a solid foundation in Python. As usual, to get the most of this class you do have to spend several hours outside of class to review the material covered in the prior class before attempting to do the homework.
March 8, 2020
Anonymous
I recently completed NYCDSA’s ‘Introductory Python’ course taught by Tony Schultz in July 2019. First, the course itself provides a really great foundation to learn python and you really don’t need prior coding experience to learn the basics. Second, Tony is a great instructor and walks you through everything. He takes the time to explain difficult concepts and provides simple explanations to understanding code, which is obviously very helpful for people looking to build out these technical skills. Highly recommend!
June 7, 2020
Anonymous
I took the Python: Data Analysis and Visualization class taught by Tony Schultz this summer. The course content is thorough, well formed and covered a lot of areas within the short amount of time. Tony was great with explaining all the concepts. Often times he covered more than just one way to solve a problem and encouraged us to develop our own coding styles. Definitely recommend this class to all working professionals interested in learning Data Science using Python.
July 10, 2020
Anonymous
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.
August 5, 2020
Anonymous
During this program, we learned data science/machine learning not only in R but also in Python. The codes that I got from lecture codes, homework, and peers here are valuable, and I find them very helpful for my research. When I cross-checked the lecture notes from NYC data science bootcamp with lecture notes obtained elsewhere, I find that the lecture notes from NYC data science bootcamp are the best and solid in successfully explaining fundamental theories.
I think the teachers here are very knowledgeable, and their lectures are well-organized and efficient. Many of the teachers also shared their experience in the data science industry and gave us ideas about what it is like to work in the data science industry, which was another good point of this program. When students needed helps, TAs, managers, or teachers were available either in person or on slacks.
I think this is a highly recommendable program for anyone interested in data science. But, before this program starts, enrolled students are highly recommended to do their best in the preliminary lectures to be better prepared. In addition, students need to work really hard in lectures, homework, and projects.
I’d highly recommend this program.
September 10, 2020