Starting your career as a data scientist is one of the best decisions you will make in 2021. As the demand for data scientists grows, more education providers offer data science courses. At NYC Data Science Academy, you can learn about data science at a post-graduate level.
This NYC Data Science Academy review can help you decide if it is the best option for you. If the high job placement rate doesn’t convince you, then the course selection will. NYC Data Science Academy offers both online courses and on-campus classes.
Cost of Tuition | $1,500 – $17,600 |
Financing Options | Upfront Payment, Loans with Ascent Funding and Climb Credit |
Courses Offered | Data Science, Python, Machine Learning, R Programming, Big Data |
Career Services and Job Assistance | Career Coaching, Network of Industry Partners |
You can learn everything you need to know about data science at NYC Data Science Academy. It offers many different courses in data science topics and different useful tools. Read below to learn about some of NYC Data Science Academy’s most popular courses.
NYC Data Science Academy designed this project-based curriculum to train students at every level. You can enroll live online or on campus in New York. Not only do you have multiple platforms to choose from, but also you can choose the 12-week full-time program or the 24-week part-time program.
As part of the curriculum, you will cover an intro to Python and R and use them for data analysis. These are essential tools for analyzing and visualizing data. You will also learn about machine learning, deep learning, and big data.
If you would like to work at top tech companies like Google, Spotify, Bloomberg, Barclays, Samsung, or IBM, you should consider signing up for a course. Data scientists earn an average of $107,000 per year. The full tuition cost for the data science bootcamp is $17,600.
In this course, you will learn the fundamental concepts of machine learning and applications of R programming. This program will teach you data mining, dimension reduction, and regression models. By the time you complete the lessons, you will know how to use machine learning algorithms to solve real-world problems.
This program costs $4,662 and involves 35 hours of class time. Before you start, you should know the basics of R. You can get a certificate of completion at the end of this course.
In only six weeks, this course can teach you vital components of Hadoop and Spark ecosystem’s vital components. The entire curriculum is based on Python, which is a popular language amongst data scientists. If you want to learn big data, this course is the perfect option for you.
This course costs $2,990, but you can often find it at a reduced price. Since this is a short evening program, you can learn these subjects while still working full-time.
This is one of NYC Data Science Academy’s newer programs. You can learn tools for data analytics, visualization, and machine learning. The school designed this program to feature three different professional development courses. You will graduate with all the skills you need to be successful in your career.
This bundle includes multiple other courses, including data science and Python courses. They only cost $4,770 if you take all of them at once. You can finish learning in 15 weeks. You can also attend the courses individually if you’d like.
To get accepted into NYC Data Science Academy, you need to express your desire to learn and show your skills. The school provides you with three different bootcamp prep courses to help you learn the skills you need to know. All you have to do is express passion about data science, data analysis, or machine learning to gain acceptance.
To apply for the bootcamp, you should visit the school’s official website. You must fill in your details and submit the document. Them, you have to complete a self-assessment test to determine whether you should go through the bootcamp prep courses. These prep courses can make sure you’re ready for the more intermediate programs.
The school’s admission team will ask you questions regarding your experience in programming and data science. The interviewer will also want to establish if you are a good fit for the program. Similar to a job interview, you should research tips and tricks to ace your interview.
Paying for tuition at the bootcamp can be easy if you choose the right financing options. Although NYC Data Science Academy doesn’t provide an extensive list of options, you can still find the right one for you. You can also research outside loans if you need extra help.
If you can afford to pay upfront without affecting your lifestyle, then it is the best option. Make sure you budget properly before paying the full tuition amount. Once you pay your tuition upfront, you never have to think about it again.
NYC Data Science Academy has partnerships with Climb Credit and Ascent Funding to provide student loans. This is a great way to cover your tuition payments. These loan providers have different terms and conditions attached to the loans they issue. You should check which option would work for you before applying.
NYC Data Science Academy is unique because it’s one of the most extensive bootcamps out there. Not many schools focus on one subject, and data science is a growing field. As well, NYC Data Science Academy only accepts expert data scientists with a master’s or PhD degree. The courses are immersive and require a lot of experience.
You can start your career as a big data engineer, data analyst, or machine learning engineer at this school. Unfortunately, it does not have courses for you to become a web designer or network engineer, but it’s ideal for data science. If you want to enroll in a high-level data science bootcamp, NYC Data Science Academy is the right choice.
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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, 2019
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
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