Protect your data
We use cookies to provide our services, improve the user experience, for analysis and marketing purposes. By giving your consent, you also agree that your data may be transferred to the USA by the use of cookies. You can revoke your consent at any time. You can find further information in our privacy policy and cookie policy.
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 have a Ph.D. in computer science, and I worked in tech industry for nearly two years. One thing I learned was that, great companies come and go, rise and fall, shine and fade. History repeats itself. However, no one can and shall beat the trend, since nothing is immortal.
With a strong belief that machine learning is the key to the ultimate Artificial General Intelligence (AGI), I decided to embrace emerging trend and immerse myself in the field of data science, the field...
I have a Ph.D. in computer science, and I worked in tech industry for nearly two years. One thing I learned was that, great companies come and go, rise and fall, shine and fade. History repeats itself. However, no one can and shall beat the trend, since nothing is immortal.
With a strong belief that machine learning is the key to the ultimate Artificial General Intelligence (AGI), I decided to embrace emerging trend and immerse myself in the field of data science, the field in which a critical piece is machine learning. In joining the NYC Data Science Academy, my motivation was simple: refresh my eyesight, build the intuitions, solidify my understanding, and meet with talented people.
It was a fantastic and rewarding journey with my fellow data scientists at the bootcamp. I will mainly concentrate on three aspects here: the curriculum, the instructors, and the like-minded peers. By no means they are complete, but hopefully they are useful for some people.
Firstly, the curriculum is comprehensive and well-tailored to balance both the breadth and depth of the data science field. Although each year there are perhaps hundreds of new machine learning algorithms devised in academic world, the essential ones are no more than ten and still widely applied in industry (see here for full list: http://www.datasciencecentral.com/profiles/blogs/top-10-machine-learning-algorithms). Almost all of them, including their nuances, nuts and bolts, pros and cons, were covered in the curriculum and explained well by instructors who really know them.
Secondly, the team is very efficient and professional. The instructors are technically proficient, articulate, and beyond my expectations. The lecture materials were self-contained, and covered related points that a data scientist should know. Especially, I was truly impressed by Luke’s passion in preparing useful materials and zestfully articulating his topics (such as sklearn framework, pandas, EM algorithms, or math, etc), by Zheyu’s professionalism and dedication in helping cohort to fix head-scratching problems and made their life easier, and by Shu’s enthusiasm in designing high-quality materials (sorting, hadoop, spark, etc) to broaden cohort’s skills. Besides, statistics was once a somewhat mysterious subject in my knowledge sphere. For a long time, I wanted to step my feet into its door to systematically cover it but I never managed to. I believe that if people want to explain something very easily without pain, they have to understand it deeply from beneath the bottom. It was Chris who unfolded the foundations of statistics and distilled many useful gists in my head within very short period of timespan. And he truly knew his subject inside out. I gained the gists, built the statistical intuition, and I am now more comfortable than ever before on this subject.
Thirdly, most importantly to me, the feeling of spending three months with a group of talented people is simply awesome. There is a saying that, “if you are in a room and you are the smartest one, then you are in the wrong room” (https://www.quora.com/Who-can-this-quote-be-attributed-to-If-youre-the-smartest-person-in-the-room-youre-in-the-wrong-room). There were many smart people in that cohort so I was sure I was in the right room. I felt that sharing the joy of enlightenment (when somebody/team achieved high scores in Kaggle leaderboard) or sadness of frustration (when somebody’s code did not work no matter what) with other talented minds was unique and unforgettable experience. Besides, through brainstorming with like-minded, new insights were sparked and new ideas were transferred. Eventually those ideas were distilled into my projects and morphed into my sixth sense of mental muscles. I felt that I was fortunate to be amongst a group of great fellows: there was no bullshitting, no day dreaming, and people were nice and nobody wanted to waste time. They all knew what they were after and worked extremely hard. I am sure I will miss them from time to time.
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).
Just tell us who you are and what you’re searching for, we’ll handle the rest.