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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 was previously a student in one of the early cohorts of for the 12-Week Data Science Boot Camp, and it was one of the best experiences for my career.
Before going into lengthy detail, I will break this up into three sections: Before, During, and After in the hope of conveying a more comprehensive experience.
Before:
Before attending the NYCDSA, I had just finished my undergraduate degree in an engineering field. After taking an Intro ML co...
I was previously a student in one of the early cohorts of for the 12-Week Data Science Boot Camp, and it was one of the best experiences for my career.
Before going into lengthy detail, I will break this up into three sections: Before, During, and After in the hope of conveying a more comprehensive experience.
Before:
Before attending the NYCDSA, I had just finished my undergraduate degree in an engineering field. After taking an Intro ML course my senior year, I grew increasingly interested in the applications of AI and Machine Learning in industry. When I discovered the field of data science, I was instantly hooked, but I knew I needed to learn more.
I had a decent amount of programming experience, mostly with low-level languages and systems, but lacked statistical intuition and experience with scripting langauges. After some more digging, I knew that my skillset at the time would not be competitive for the actual job market. While my undergraduate education was excellent, the curriculum was reasonably classic, most of my courses focused on theory and textbook problems and what I lacked was skills and experience for real-world applications. While graduate school was an option, at the time I wasn't sure if Data Science was a field I wanted to commit more formal education to without experiencing it first hand. So after applying to various boot camps, I chose the NYCDSA to jumpstart my career.
The interviewing process for the NYCDSA was simple and effective and included phone screens, code exercises, and some Q&A. I chose this program because the company was relatively new and small and felt more like a community rather than a factory to churn out data scientists like other boot camps I came across. After making my decision, I promptly moved to NYC after graduating and began my journey into data science.
During:
The company was relatively new at the time I attended, but the caliber and experience of their faculty were top-notch, and it was transparent how passionate the staff was about developing the best and most efficient curriculum. Within another couple of years, they were able to scale up, expand, and further improve their curriculum and course content at an exponential rate.
It is important to note that your mileage may vary with any boot camp. This program offers awesome resources, but ultimately it's up to the student to determine how much he or she will get out of it. I spent an average of 60~90 hours a week on campus for the 12-week program. The course is still manageable for people who have families or other commitments, and I have seen many successful part-time students graduate from my cohort. I just wanted to note that this was particular to my experience.
The curriculum covers various aspects of data science and offers a cutting-edge foundational overview of stats, machine learning, and programming. The core languages are R and Python. The philosophy of spreading the breadth of languages rather than just choosing one is reflective of the fact that the tools in Data Science are highly mutable. Rather than memorizing a single programming paradigm, the goal is to expand your programmatic and discrete logic intuition so that you can pick up other languages if needed.
After class, the projects were engaging, and it was enjoyable to engage with other data enthusiasts and attend data science meetups and conferences together. I still keep in touch with many of my cohort mates years after the program.
Moreover, Vivian and company have a robust network of many NYC companies and quickly expanding to other areas of the country. By the 9th week, I've already had a couple of interviews lined up at top firms in the area and was able to practice and refine my onsite interviewing skills.
Three months after the boot camp, I landed my dream first job at a fast-growing tech-startup in Chicago after receiving multiple offers.
After:
After landing my role as a Data Scientist, I still maintained a close relationship with the NYCDSA.
The support of the NYCDSA does not terminate at the end of the cohort, and they do a phenomenal job of providing ongoing support for their alumni and students. After the boot camp, I've continued to receive ongoing help (practice interviews, coding exercises, access to review course content, network events, resume editing) which were crucial to my future employment.
Not only do they offer support for students seeking employment but they provide support for education as well. I was actively interested in an advanced degree in a field that leverages machine learning, and my experience at the boot camp only affirmed this for me. Many of the faculty come from incredible backgrounds and are very willing to share their experiences. Their advice and transparency were constructive in my choice of graduate program. Currently, I am a part-time Masters candidate at a top data science program with a focus on Machine Learning and Data Ethics while working full-time as a data scientist at my current company.
The skills that I learned from the NYCDSA and later refined at my current company significantly prepared me for my graduate courses, allowing me to test out of basic classes and attend advanced topics in machine learning and statistics. The skills from the boot camp carry over very well for most data science roles or education programs.
In short, what I wish to convey is that a career in data science is a journey of continual learning and NYCDSA does everything they can to optimize the learning experience for their students.
However, please note that the Data Science Bootcamp is tailored to provide balanced curriculum among programming, stats, and machine learning and is meant to be a program to strengthen core skillsets rather than a masterclass for already experienced data science veterans. Although the company does offer more specialized classes in more targeted areas.
If you are looking for a program that will teach you everything there is to know about data science within a mere few months, then I'm afraid that those may be in general hard to find since data science itself is both a hybrid of multiple subjects and growing as a professional field.
On the other hand, if you are serious about transitioning into data science as a career and if you are seeking a program that offers competitive curriculum, a strong alumni network, and a community of data enthusiasts to engage with, I would strongly recommend looking into this program to jumpstart your career. I cannot emphasize enough how much this program has benefitted my professional development both during and after the boot camp.
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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