NYC Data Science Academy is a top-rated tech academy open to anyone who wants to become a data scientist. The school offers online training in live remote and asynchronous formats, as well as in both part-time and full-time schedules. It also has a Professional Development Program for more advanced students.
This review highlights the primary programs, additional services, tuition costs, payment methods, and the admissions process of NYC Data Science Academy.
Since 2013, NYC Data Science Academy has grown to be one of the leading bootcamps in New York City. The school has over 2,000 alumni and 500 hiring partners from around the globe. After your program ends, you will join a strong alumni network of like-minded data science professionals.
The bootcamp also helps you with your job search. This includes mock interviews and a resume review to make sure you stand out from the competition.
Programs at NYC Data Science Academy are all data-related. Its subcategories allow you to choose specific aspects of data science that suit you. The three core programs are Data Science with R, Data Science Mastery, and Data Science Launchpad with Python.
This bootcamp program doesn’t run for weeks or months like many others. In just 35 hours, you will learn R programming, an essential language used in data science. It also covers data analytics and data visualization.
The course moves beyond theories, so you will work with real-world datasets and come to grips with data science technologies. By the end of the program, you should be able to gather, save, generate, and analyze data.
The Data Science Mastery bundle has three key courses. These cover Python, machine learning, and how to use R for data science. You can opt to take them individually or as a bundle.
Big Data with Amazon Cloud, Hadoop/Spark and Docker is the main course. The six-week evening program will help you come to grips with big data technology. Programming will be done in Python, and you will need to have a suitable laptop for the classes.
This is the newest bundle at NYC Data Science Academy. It takes a deep dive into Python, one of the most popular programming languages in the world. You will start with the basics of writing Python code. After that, the instructors will teach you how to apply Python in data science.
The course also involves applying machine learning in data science. Finally, you will gain an understanding of how data science skills can be applied in business. As with the Data Science Mastery bundle, you can choose to take one, two, or three courses.
NYC Data Science Academy has an obligatory three-stage application process. It starts with submitting an online application and a 15-minute self-assessment. The assessment and online forms are designed to help you tell the school more about your background.
Subsequently, an interviewer will contact you to schedule a date for your virtual interview. The interview is a two-way street, so use it to ask the interviewer as many questions about the Academy as you want.
The final stage of the application is challenging because it includes a technical assessment. You will have about 48 hours to complete the assessment, after which you will wait to hear if you’ve been admitted or not.
If you want the complete data science bootcamp experience, you will pay $17,600.
Tuition is usually paid upfront through PayPal and credit cards. Those who cannot afford upfront payment may apply for loan financing through Skills Fund or Climb Credit.
Both loan financing firms may also offer living stipends to those unable to work and study simultaneously.
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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.
March 5, 2020
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 7, 2020
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!
May 29, 2020
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.
June 10, 2020
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.
July 5, 2020
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.
August 10, 2020
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