NYC Data Science Academy is a data science bootcamp that offers one major program and several short courses. Its curricula cover data science tools, including R, deep learning, data analytics, big data, Python, machine learning, and more. This NYC Data Science Academy review will give you a clearer view of what to expect.
Candidates with advanced education in engineering, technology, mathematics, and science are often accepted. However, students with zero coding experience are encouraged to apply six weeks in advance to leave time for pre-work. For more information about how to start studying data science at NYC Data Science Academy, read on.
NYC Data Science Academy offers three different learning paths for students. You participate in the 12-week remote live bootcamp, create your own bootcamp schedule, or take short-term professional development courses on various topics. The institution also has job placement services to help students expand their job prospects.
NYC Data Science Academy provides programs for novices who want to become data scientists as well as established data scientists looking for professional development opportunities. If you’re not ready for the data science bootcamp, you can create your own curriculum by bundling together multiple short courses, each of which lasts four to six weeks.
Below is an overview of the major learning packages that NYC Data Science Academy offers.
The main data science program takes three forms. There’s a 12-week live remote version, and 16-week and 24-week self-paced options. After revisiting concepts in calculus, algebra, and statistics, and computer programming, you will learn data structures, data classification, linear regression, and visualization using Python, R, AWS, Spark, Hadoop, and more.
The bootcamp is designed to provide you with the skills you need for real-world data science applications, and you’ll earn a certificate of completion to prove you’re ready. Having a credential from NYC Data Science Academy opens doors to the tech world, where professional data scientists earn an average of $107,000 per year.
This three-course bundle introduces students to R and Python. You’ll start by learning calculus, linear algebra, linear regression, programming languages used for data science, and statistics.
In the second and third courses, you’ll focus on advanced applications of Python and R, respectively. By the end of the bundle, you will have the skills needed to perform basic data analysis and data visualization with each of these languages.
This bundle introduces students to Python before moving on to the language’s applications for data analysis and data visualization. Unlike Bootcamp Prep, however, this bundle also covers topics in machine learning, from regression analysis to clustering algorithms. By the end of the bundle, you will be conversant in the analytical and predictive functions of Python.
If you’re curious about machine learning algorithms and the machine learning applications of Python, then this bundle is for you.
In this bundle, you will learn statistical programming, data analysis, and analytics, but with R instead of Python. Learning data analytics entails getting the hang of manipulating data and building statistical models. The bundle also teaches students machine learning with R, including how to mine data and measure the performance of your algorithm.
This bundle’s main purpose is to educate students on advanced data science topics. Topics and tools covered include natural language processing, Hive, and TensorFlow.
During normal times, NYC Data Science Academy hosts professional development courses onsite in Manhattan, New York City. Because of COVID-19, however, in-person learning has been converted into a live online format for the time being. Additionally, both versions of the main data science bootcamp program are administered virtually.
The school offers full-time and flex options for its data science bootcamp. Its professional development courses, meanwhile, are short-term and part-time, typically offered in the evenings.
The full-time bootcamp option is excellent if you prefer learning in real-time with the help of expert instructors. It only takes 12 weeks to complete, and several reviewers have commented on how fast-paced it is.
This schedule is ideal for students with a lot of free time on their hands. Students with jobs or other daytime engagements might find it too strenuous.
NYC Data Science Academy’s professional development courses take anywhere between four and six weeks to complete. During that period, classes will either be held on two evenings or one weekend day per week. You will receive real-time Zoom support from expert instructors, who can help you get a handle on difficult concepts.
The flex bootcamp option allows you to learn through pre-recorded videos. These videos are easily accessible regardless of where you live. Communication, live interactions, and instant messaging are done through platforms such as Zoom and Slack.
While you can create your own schedule, you are expected to commit approximately 30 to 40 hours of your time per week, and the entire course takes 16 weeks to complete. If you prefer a slower pace, you also have the option of taking 24 weeks to complete the course, in which case you should commit 20 to 30 hours per week.
All versions of the school’s data science bootcamp cost $17,600. Standalone professional development courses range in price from $1,500 to $3,000. If you choose a bundle, the courses in your package will be discounted.
NYC Data Science Academy prefers upfront payments, and the school accepts cash, bank wire transfers, credit cards, and checks. But there are also a couple of third-party financing options, as explained below.
To sift through all the applications it receives, NYC Data Science Academy has implemented a rigorous admissions process. First of all, you should have a master’s in data science or a related discipline, or at the very least a bachelor’s, to qualify for the programs. If you do not have a formal data science education, you will have to take a test to prove your aptitude.
To apply, go to the school’s official website and follow the instructions. Here, you will share a little about your educational and work background. You will then complete a self-assessment designed to gauge your technical experience and data science comprehension.
The test will help the admissions team determine whether you should learn R programming or Python. It will also determine whether you will need to complete the pre-work before starting the main course.
The admissions team will contact you if your online application is successful, after which they will schedule a video interview with you. Here, the admissions team will ask questions to determine whether you are a good fit for the program. They are most interested in learning about your educational background, your qualifications, and your goals.
The school has yet to publish information about its acceptance rates. However, its courses are highly competitive. Students with less than a bachelor’s degree in data science or a related discipline usually do not get in. If you do well enough on the technical assessment, however, the school just might make an exception for you.
You will probably get a job, but it’s not a guarantee. NYC Data Science Academy partners with many companies across the United States to help students get their dream jobs. Over 90 percent of all NYC Data Science Academy graduates end up in top data science positions within six months of graduation.
The school’s programs are designed to prepare you for top data science positions. As part of your coursework, you will complete four real-world projects, which you will include in your portfolio when meeting prospective employers.
The school also offers help in the form of resume assistance, mock interviews, and company visits. You will retain access to the school’s career resources even after you graduate.
Yes, if you have a background in data science, you should apply to NYC Data Science Academy. If you are new to data science, the school offers short programs to get you up to speed.
NYC Data Science Academy has been in operation since 2013. During this time, the academy has received multiple awards, solidifying its status as a top provider of data science courses. You should consider this school if you are looking to advance your career in data science and possibly earn a higher salary.
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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.
March 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!
May 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.
June 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.
July 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.
August 10, 2020