About NYC Data Science Academy
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NYC Data Science Academy is the only national accredited Data Science Bootcamp in the United States. We are also proud that we are the only bootcamp that teaches Python and R. The academy is well known for its industry project-oriented learning experience... Read More
- The only national accredited Data Science Bootcamp in the United States
The academy offers accredited data science and data analytic bootcamps in New York City and remotely online. The programs can be completed within 3 months, 4 months, and 6 months. In these programs, students learn beginner and intermediate levels of Data Science with Hadoop, Spark, Github, Docker, and SQL, as well as popular and useful Python and R packages like XgBoost, Caret, Dplyr, Ggplot2, Pandas, Scikit-learn, and more.
- Individual/ group projects showcased to hiring partners
Once the learning foundation has been set, students work on multiple projects through the Bootcamp. The program distinguishes itself by the breadth of its curriculum as well as by balancing intensive lectures with real-world project work. Students will work individually and with teams throughout the program to create at least four projects showcased to employers through multiple channels; private hiring partner events, student blogs, meetups, and film presentations.
- Lifetime Career Support
The academy also offers solid lifetime career support. There are four channels of engagement: Tech interview prep, unlimited mentorships, career services adviser who's forwarding your resume on your behalf, and a lifetime job portal. We also provide mock interviews, including challenges and behavioral questions and 1-on-1 post-interview reviews and feedback meetings from career mentors.
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Courses
12-Week Data Science Bootcamp
Big Data with Hadoop and Spark
Data Science with Python: Data Analysis and Visualization
Data Science with Python: Machine Learning
Data Science with R: Data Analysis and Visualization
Data Science with R: Machine Learning
Data Science with Tableau
Deep Learning
Introductory Python
NYC Data Science Academy Reviews
Average Ratings (All Programs)
Yunrou Gong
Graduated: 20168/17/2017
Course
12-Week Data Science Bootcamp
"All I can say is : Do not miss this course if you really wanna enter to Data science industry."
I had been in the 12 week data science bootcamp last year summer, which changed my view to myself about leaning data science. It was a big challenge for me at that time as I had little programming experience. Although the course was extremely intensive,... Read More
Do you represent this school? Respond to a review.
Chris V.
Marketing Science Manager | Graduated: 20178/14/2017
Course
Data Science with Python: Data Analysis and Visualization
"Highly Correlated to Success"
I can’t begin to describe how inclusive, rigorous, and rewarding is New York City Data Science Academy’s Data Science Boot Camp. It is inclusive in the sense that those applicants it admits are not exclusively from among statisticians, mathematicians,... Read More
The boot camp program is rigorous in that it demands broad competence not just in a single language. While competing programs may focus exclusively on developing competence narrowly in R or Python, the NYCDSA boot camp demands that its recruits master both. This gives those who complete the program greater flexibility, as they can appreciate the strengths of each language and invoke one or the other as best suits the task at hand.
Apart from the new skills obtained, the NYCDSA boot camp is rewarding in other key respects. The curriculum is grounded in teamwork, giving participants a greater appreciation of how to build and manage teams in a business context. This team-based approach also fosters friendships among classmates who, as in a military boot camp, become battle buddies as they overcome the significant business and technical challenges they confront. The resulting camaraderie produces a very strong alumni support network that provides boot camp graduates with long-term opportunities for professional growth and advancement.
The NYCDSA boot camp provided me with the precise set of skills I sought, allowing me to continue my career on a higher plane and enrich the value I provide to my clients in their pursuit of market share and increased profits. I am incredibly grateful and appreciative of the opportunities which NYCDSA’s boot camp has afforded me, both personally and professionally.
Yvonne Lau
Data Scientist | Graduated: 20178/14/2017
Course
12-Week Data Science Bootcamp
"100% Recommend attending the full-time bootcamp"
NYC DATA SCIENCE REVIEW
Overall:
100% YES!!! I wholeheartedly recommend NYC Data Science Academy! If you want to switch into data science, the bootcamp will help you land your dream job. I got an internship offer shortly after the end of bootcamp(~2.5... Read More
Full Review
When I was reading through bootcamp reviews, I personally thought it was more helpful to find people of similar background as mine and see how well they fared. For instance, knowing that people with only bachelors degree attended NYCDSA and got data scientist jobs helped to not only inspire me, but also to set realistic expectations on what type of jobs I could get and how long it could take. So here is a blurb about myself:
TL-DR;
- Bachelors degree In math and economics
- <1 yr of work experience
- Limited exposure to R/SQL/Big Data tools prior to the bootcamp(Does using a select statement in SQL count?)
- Prior experience coding in C and basic Python through an intro level computer science course in college. No exposure to data packages in Python.
Prior to coming into the bootcamp, I asked myself: “Is the bootcamp worth the $16,000 investment?” Is it going to give me enough skills to find a job as a data scientist?”. If you read my introduction, the ultimate answer is an obvious YES! Below, I am listing the top 7 reasons why I think NYDSCA was a worth investment for me:
1. Top-notch job assistance: From teaching how to craft your resume to preparing for technical interviews, Vivian and Chris did an excellent job at explaining what interviewing for data scientist positions was like. This “soft skill” portion was really important for me since I wasn’t accustomed to interviewing for technical roles.
2. Connections of the bootcamp: As I mentioned earlier, I got my job through the bootcamp’s hiring partner event. Being able to take advantage of the wide network of employers definitely made “getting the foot in the door” much easier
3. Learning both R and Python: I wanted to learn both as I knew it would help me cover my bases and be prepared for most data science-related jobs.
4. Transforming me into a confident coder: having learned coding through a class in college and a bit of self-learning, I knew I needed to improve my skills if I ever wanted to land a serious job as a data scientist. The pre-work material along with projects were really helpful in that sense
5. Structured curriculum: There is a lot of thought put into the structure of each class. It was very nice to have all materials that I needed to learn organized for me so that my only worry was to learn.
6. Instructors: They deserve their own section as most staff have been teaching for quite a few cohorts. They are all very knowledgeable and approachable. Special shoutout to Zeyu for being an amazing TA and always offering helpful guidance through my projects!
7. Projects: Each project covers an essential area of data science-data visualization, web scraping, machine learning - and I learned so much through them. The projects were also essential to build my data science portfolio and showcase my skillset to employers.
If you made it all the way to the end, thank you reading this review! All in all, NYCDSA was great!! It worked perfectly for me as it gave me the skills (both technical and soft) I needed to land a data scientist job. BE PREPARED TO WORK HARD. Treat both the bootcamp and job hunting as a full-time job and you will be rewarded. :)
Kamal Sandhu
Graduated: 20178/10/2017
Course
12-Week Data Science Bootcamp
"Great Decision"
I attended the January-March 2017 boot camp of the New York Data Science Academy. It was the most densely packed and learning filled 3 month period of my life. NYCDSA has the right balance of theory and practise built into their curriculum.
Projects were... Read More
Please be warned that this program is not for the faint of heart. You need requisite programming and stats knowledge to know what's going on. Even with the requisite experience, students consistently put 10-12 hours per day to stay on top of all the material. This is by design as it is a boot camp, not a vacation.
The best part about NYCDSA for me was the chance to work with fellow students who are as passionate, knowledgeable and hardworking as I am. Highly recommended.
Kyle Gallatin
Data Scientist | Graduated: 20178/10/2017
Course
Data Science with Python: Data Analysis and Visualization
"Great Decision"
Honestly one of the best decisions I’ve ever made. Yes it’s a reasonably difficult course, but if you are truly interested in data science you enjoy every second of it. Like anything, you get out what you put in. If you’re ready to work as hard as you... Read More
The instructors and TAs are excellent, all accomplished data scientists with a wealth of skill and knowledge. The resources, from slides to code examples and practice questions, are things I will continue to use throughout my career as a data scientist. There is ALWAYS more to learn in the field of data science.
If you’re thinking about going because you simply want a pay raise, then don’t. The course is relatively difficult, and if you aren’t willing to put in the work to master everything you need to land a job, then you won’t get a job. Simple as that.
However, if you are committed to becoming an expert data science, the job support here is immense. There are mock interviews, code interview practice questions, linkedin workshops, presentations from hiring companies, data scientists etc…I myself recently accepted a dream offer from a company I was connected with through the bootcamp.
You likely won’t get a job immediately, it’ll take awhile and a lot of interview practice. If you haven’t mastered the skills you need to be a data scientist, then you don’t have the skills to pass through the interview process. But again, if you are committed there is no shortage of resources made available to you. If you do not succeed here, it is because you did not put as much effort into them as they did into you.
Finally, an underrated part of the experience is the other students. Some of my best friends in the city I met through the bootcamp, and we still go out for drinks all the time. The course not only provides you with knowledge, but connections. It’s a room full of intelligent, driven and entrepreneurial people. You could expect nothing less.
If you want to be a data scientist, and more importantly you have the drive to learn and succeed, you’ll thrive here. Simple as that.
Carlos
Investments Professional | Graduated: 20178/10/2017
Course
12-Week Data Science Bootcamp
"Good way to enhance your Data Science Skills"
I was enrolled in the NYC Data Science Academy full-time bootcamp during 1Q17.
I found it a very good programme to enhance my computer science skills, particularly in the fields of EDA (exploratory data analysis), machine learning and web scrapping. In... Read More
Positives:
- The program materials are very good (theory and exercises) allowing to properly study the syllabus and find the right balance between theory and practice.
- The school staff is very close and dedicated to the cohort and always looking for feedback to improve the experience.
- I am more a "lone wolf" type of person but I found useful to be forced to cooperate in one project with other team mates as it allows to have a experience close to what a real job in Data science will be.
Things to bear in mind:
- You need to have at least a good basic-to-intermediate level in coding. If you never have coded, you better spend 3-6 months preparing yourself using Python and R beginner courses since the programme can be an uphill struggle for those who lack of minimum programming skills.
- This bootcamp is very focused on EDA (Exploratory Data Analysis) and Machine Learning. Although big data software like Hadoop or Spark is in the syllabus, it's basically an introduction since the program lasts only 3 months. If you are looking for a pure Big Data experience, this is not your program although it offers a good intro.
- This is a non-stop bootcamp so prepare yourself to be fully-committed during the 3 months as you will have to attend lectures in the morning and deliver homework almost on a daily basis.
Overall, I enjoyed my time at NYCDSA and think is probably the best bootcamp for professionals looking to upgrade and enhance their computer science skills specializing in Data Science.
Anonymous
Graduated: 20177/31/2017
Course
Data Science with Python: Data Analysis and Visualization
"Solid curriculum and a really good teacher"
I took the Data Analysis and Visualization course with Tony this summer. I find the curriculum to be solid, constructive and highly applicable to the kind of analysis I will be doing at work. I would suggest that students come in with a little coding... Read More
Anonymous
Data Manager | Graduated: 20177/29/2017
Course
Data Science with Python: Data Analysis and Visualization
"Data Analysis and Visualization - Summer 2017"
I took the Data Analysis and Visualization class this summer with Tony Schultz. Tony is a very knowledgeable and amazing teacher. His classes are never boring. Moreover, we had an extra hour sessions to review our homework. In general, the class is designed... Read More
Ben
Finance | Graduated: 20177/28/2017
Course
Data Science with Python: Data Analysis and Visualization
"Fantastic Instructor"
Tony Schultz is a passionate and approachable instructor that goes well beyond teaching general Python syntax. He moves efficiently and fluidly through the basics and then deeper into some more advanced topics including Numpy and Pandas. It is a content... Read More
Anonymous
Graduated: 20177/24/2017
Course
Data Science with Python: Data Analysis and Visualization
"Good way to learn Python"
I took two classes with Tony Schultz for Intro to Python and Python for Data Analysis/Viz. This class is appropriate for people who would like to get a start on learning python. I came away knowing enough to do some scripting for my current job and to... Read More
I recommend NYC Data Science Academy for those wanting to learn python but have a hard time picking it up independently.