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NYC Data Science Academy offers 12-week, accredited data science and data analytics bootcamps in New York City and live online. NYC Data Science Academy is a nationally accredited Data Science Bootcamp in the U.S that teaches both Python and R. In the program, students will learn beginner and intermediate levels of Data Science with Hadoop, Spark, Github, Docker, SQL, R, and Python packages like XgBoost, Caret, Dplyr, Ggplot2, Pandas, Scikit-learn, and more. The program distinguishes itself by balancing intensive lectures with real-world project work and the breadth of its curriculum. The academy is well known for its industry project-oriented learning experience and well-immersed community established since 2013.
Students will work on at least four individual or team projects showcased to employers through private hiring partner events, student blogs, meetups, and film presentations. The academy also offers strong lifetime career support such as tech interview prep, mock interviews, unlimited mentorships, and 1-on-1 post-interview reviews and feedback from career mentors to help students ace their interviews.
I attended the Spring 2017 Cohort of the data science bootcamp at the NYC Data Science Academy. Originally I had read up about the program in 2015 but did not feel prepared to quit my job and take a leap into a full-time bootcamp. I spent about 2 years preparing myself by taking courses online (mostly through coursera) to build up my Python and R skills. Part of me was hoping that coursera courses would be enough to land a job as a Data Scientist or even as a Data Analyst, however that was...
I attended the Spring 2017 Cohort of the data science bootcamp at the NYC Data Science Academy. Originally I had read up about the program in 2015 but did not feel prepared to quit my job and take a leap into a full-time bootcamp. I spent about 2 years preparing myself by taking courses online (mostly through coursera) to build up my Python and R skills. Part of me was hoping that coursera courses would be enough to land a job as a Data Scientist or even as a Data Analyst, however that was not the case. Finally in January of 2017 I felt a bit more confident to apply to the bootcamp, and once accepted I decided to officially make the switch into a career in data science.
The bootcamp curriculum is very intensive and cannot be taken lightly. A majority of my fellow students were in a similar situation where they quit their jobs, and invested a great deal of time and money considering that this program is not cheap. Keeping that in mind it's very important to understand that this is not a golden ticket to a better paying job. Simply showing up every day will not be enough to get the most out of your investment while attending this program.
Before the Bootcamp:
The pre-work which is part-time and can be completed online or in person is very important as it serves as a preview of the first couple of weeks of the program. If you complete all of the pre-work (which I highly suggest) the first few weeks of the bootcamp might seem to be full of redundant information and make you question your decision to pay for a very expensive course which is teaching you things you already know. Don't worry too much about that because that is just the calm before the storm as things pick up very quickly as you approach the end of the first month. It's also much better to spend the first few weeks mastering the basics by going over things you know as compared to jumping into the deep end by learning everything for the first time on Day 1 of the bootcamp. Take advantage of this "down time" to master the basics and prepare yourself for what's to come because once you get to machine learning things start to get very serious.
The pre-work mostly covers Python and R programming which are vital skills to have in order to make it through the program. If you can have a basic understand of Python and R before the bootcamp it will only help you because just like anything else the more you do it the better you get at it. The pre-work doesn't include SQL which I believe is very important to have at least a general understanding of the basics. It also doesn't unclude linear algebra or statistics which are also extremely important especially if you have been out of school for a while. You do not have to master any of these (Python, R, SQL, linear algebra, or basic statistics) before the bootcamp but having a basic understanding will help a great deal.
During the Bootcamp:
During the 12 weeks every day involves learning new information, and that is why it is extremely important to keep up with the homework to review what you have learned. The projects are also very helpful to link everything together. The projects are a great opportunity to showcase your data science skills and you should pick topics which are relevant to industries you are interested in. Make sure you can explain every aspect of your project because you will be asked questions about them during interviews.
The staff is extremely helpful and will take the time needed to help you with anything you need to keep you moving forward so do not hesitate to pull an instructor or TA aside to ask questions. The program is not perfect and the staff is constantly working to improve the curriculum. Pulse check on Friday afternoons is a great opportunity to voice your concerns (which my cohort took full advantage of) and speak your mind of what you find helpful and what can be improved. This is not only helpful to you and your cohort, but also for future cohorts.
After the Bootcamp:
Once you make it through the 12 weeks the learning does not stop, because you will feel that there is much you still do not feel confident about. This is an unfortunately do to the fact that during the limited amount of time (12 weeks) there is a great deal of breadth of materials covered but it's impossible to go into great depth on each topic. This is when your show of commitment comes into play where you have to review concepts which you do not feel confident about. Reviewing the material is helpful, and completing coding challenges through HackerRank also helps. The recommended textbook is another great resource (ISLR) which should ideally be read before or during the bootamp. I unfortunately waited until after to read the text which is great for reviewing the machine learning concepts. There are many resources available to help review. I found some very helpful YouTube videos other other textbooks to review machine learning concepts I did not feel confident about. This will obviously vary from person to person depending on your learning style. You can choose to spend time reviewing everything, or focus on mastering concepts which are relevant to jobs your are applying to.
Job Hunt:
The NYC Data Science Academy is there for you during your job hunt. They will help you fix your resume which helped me go from getting no replies for jobs that I would apply to before the bootcamp, to having 10 phone interviews lined up within 2-3 weeks of finishing the program. The hiring partner event is a great opportunity to connect with prospective employers. Mock interviews are available to help work on interviewing skills. I had my mock interview 2 days before my actual interview, and it was a previous graduate who is currently working as a data scientist. His advice helped to boost my confidence and within a few days of my actual interview I received an offer.
Take Home Message:
Overall it was a great experience for me and I do not regret the sacrifices I made to attend the program. If you are interested in this program please give it your best and keep in mind that at the end of the day the burden is on you. You are the one who has the most to lose if you do not take full advantage of this opportunity. There is a great deal of self-studying involved before, during, and after the program. The more dedication and effort you put into your journey to become a data scientist, the more likely it will result in a positive outcome. You might hear back from some of the jobs that you apply to, you might not hear back from most of them. Not all interviews will go well but with each failure you will learn what needs to be improved. My advice is that if you are motivated and dedicated to start a career in data science, and willing to put in the required work then this 12 week data science bootcamp at the NYC Data Science Academy is the right choice for you.
Course Report readers can receive an Exclusive Scholarship to NYC Data Science Academy!
How much does NYC Data Science Academy cost?
NYC Data Science Academy costs around $17,600. On the lower end, some NYC Data Science Academy courses like Introductory Python cost $1,590.
What courses does NYC Data Science Academy teach?
NYC Data Science Academy offers courses like 12-Weeks In-Person/ Remote Live Data Science with Machine Learning Bootcamp , 7-weeks In Person/ Remote Live Data Analytics Bootcamp, Introductory Python, Online Data Analytics Bootcamp and 1 more.
Where does NYC Data Science Academy have campuses?
NYC Data Science Academy has in-person campuses in New York City. NYC Data Science Academy also has a remote classroom so students can learn online.
Is NYC Data Science Academy worth it?
NYC Data Science Academy hasn't shared alumni outcomes yet, but one way to determine if a bootcamp is worth it is by reading alumni reviews. 378 NYC Data Science Academy alumni, students, and applicants have reviewed NYC Data Science Academy on Course Report - you should start there!
Is NYC Data Science Academy legit?
We let alumni answer that question. 378 NYC Data Science Academy alumni, students, and applicants have reviewed NYC Data Science Academy and rate their overall experience a 4.86 out of 5.
Does NYC Data Science Academy offer scholarships or accept the GI Bill?
Yes, Course Report is excited to offer an exclusive NYC Data Science Academy scholarship for $500 off tuition!
Can I read NYC Data Science Academy reviews?
You can read 378 reviews of NYC Data Science Academy on Course Report! NYC Data Science Academy alumni, students, and applicants have reviewed NYC Data Science Academy and rate their overall experience a 4.86 out of 5.
Is NYC Data Science Academy accredited?
NYC Data Science Academy is very pleased to announce that it has been granted institutional accreditation by the Accrediting Commission for Continuing Education & Training (ACCET).
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