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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.
This bootcamp is no longer the great place it used to be. Vivian Zhang (the crazy CEO) has made the curriculum into a joke, and you waste a lot of time on nonsense apps like shiny, blog posts because she thinks that's what employers want. It is not. No one in the industry pays attention to the things she believes they do, which is 1 reason why it has been so difficult to place all candidates in a job. Do not believe for 1 minute she will help you get a job. Only your true&nbs...
This bootcamp is no longer the great place it used to be. Vivian Zhang (the crazy CEO) has made the curriculum into a joke, and you waste a lot of time on nonsense apps like shiny, blog posts because she thinks that's what employers want. It is not. No one in the industry pays attention to the things she believes they do, which is 1 reason why it has been so difficult to place all candidates in a job. Do not believe for 1 minute she will help you get a job. Only your true qualifications will help with that.
Her TAs are wonderful and brilliant. It is not their fault that she bulldozes their efforts. But she has complete control of the camp.
It is very difficult to watch her cheapen the brand of what started out so great, and single-handedly destroy the hard work of everyone who works for her.
She let in people to the camp who were completely unqualified to be there, including non-STEM bachelors, or MBAs with no technical background whatsoever, who were a huge burden on the class. If you are a STEM phd, you had better go to Insight or Ivy Data Science if you want an intensive course in ML and statistics. "Data science" is a marketing phrase for analytics. If you do not have a technical background, you should know that the 16,000$ package Vivian is selling you is too good to be true. You cannot be made a data scientist in 3 months, and there is no way she will be able to place you in a data science job. Most people from cohorts 5 and above are still looking for jobs months afterwards. The ones that do find jobs 6 months-1 year afterwards, do so without any help from Vivian.
I work for a media company that is transitioning to Python. They were made aware of Vivians reputation and decided to send all their data analysts for corporate training in Metis. I was asked for my recommendation and I have to agree that the quality of teaching is better at Metis, since Vivian has fired most of her good teachers, and the median quality of students can be terrible, since she lets in who ever applies, regardless of their technical skills. I also spoke to several prospective students who told me they pulled out of DSA because they heard that Vivian was letting in anybody who wanted to become a data scientist, even business analysts, and was unable to get most people a permanent job. She lists "internships" as permanent jobs, and cannot support the candidate when those internships terminate. The people in my office who know Vivian do not think that DSA looks good on my resume mainly because they think "she is trying to industrialize data scientists like a factory".
She also expanded the bootcamp from 20 students to 80 students, which should be a good indication of the quality you can expect.
Some things Vivian has done:
Someone said this earlier. Vivian accepts anyone and everyone. This really hurt the bootcamp because we spent the first month learning how to code! That's insane!! This bootcamp was more of an introduction to coding than anything. There was a bootcamp employee who wasn't accepting unqualified people, but she either quit or was fired.
Vivian is all talk. She barely remembers most of the things she says, and the things she says are conflicting. In the first week, she promised every...
Someone said this earlier. Vivian accepts anyone and everyone. This really hurt the bootcamp because we spent the first month learning how to code! That's insane!! This bootcamp was more of an introduction to coding than anything. There was a bootcamp employee who wasn't accepting unqualified people, but she either quit or was fired.
Vivian is all talk. She barely remembers most of the things she says, and the things she says are conflicting. In the first week, she promised everyone would be "senior data scientist" and shouldn't accept anything less. At the end, she said the opposite. I'm a month into job searching after the bootcamp, and I haven't been able to get interviews. I'll have to go back to what I was doing before the bootcamp, same as other people. Even most people from the last few cohorts are still looking for jobs.
Please don't join this bootcamp. It was a waste of $16000. I can't believe I paid that. I'm furious. I feel cheated. Give me my money back...going to have to report Vivian and this bootcamp.
Bottom line: the bootcamp is a swindle, cheat, and ripoff. Save yourself the frustration.
If I could turn back time, I would not have wasted $16,000+ on tuition and moving to NYC. My money would have been better spent at an accredited program. The whole operation seems glued together like a popsicle stick diorama...it was like a total free-for-all. No rules, structure, or guidance. The few rules in place were hardly ever enforced (homework dea...
Bottom line: the bootcamp is a swindle, cheat, and ripoff. Save yourself the frustration.
If I could turn back time, I would not have wasted $16,000+ on tuition and moving to NYC. My money would have been better spent at an accredited program. The whole operation seems glued together like a popsicle stick diorama...it was like a total free-for-all. No rules, structure, or guidance. The few rules in place were hardly ever enforced (homework deadlines? grading? feedback? none). We were left to fend for ourselves with barely any help. I learned more from other students who had previous experience than any of the instructors, most of whom listed on the website had nothing to do with the bootcamp at all. I agree with some of the other posters...Vivian will accept anyone to make a buck. Some people in my cohort had backgrounds so far from data science I wonder how they got accepted in the first place (fashion? what? ok...).
Claire Tu of NYC Data Science Academy
Marketing Manager
May 18, 2017
I attended the 3 month Data Science bootcamp. It was a valuable experience: the staff are very knowledgeable and helpful, Christopher Peter Makris is a genius, and you learn a lot of practical skills. However, if you are not American or Chinese, do not expect Vivian to lift a finger and help find you a job. She will make a lot of false promises but she won't deliver.
She also has a talent for firing all of her staff, including the most hard working and talented ones. She is crazy...
I attended the 3 month Data Science bootcamp. It was a valuable experience: the staff are very knowledgeable and helpful, Christopher Peter Makris is a genius, and you learn a lot of practical skills. However, if you are not American or Chinese, do not expect Vivian to lift a finger and help find you a job. She will make a lot of false promises but she won't deliver.
She also has a talent for firing all of her staff, including the most hard working and talented ones. She is crazy and has a terrible reputation.
I was a member of the January-April 2016 cohort, and I have fond memories of the experience, difficult and stressful as it was. The instructors and TAs are overqualified and brilliant, and Christopher Makris gives the broadest and deepest lectures that time affords. Zeyu is a magician. I would call it comparable to a master's program in machine learning, if the student puts the necessary additional time for self learning and independent study. The bootcamp was one of the most informative, ...
I was a member of the January-April 2016 cohort, and I have fond memories of the experience, difficult and stressful as it was. The instructors and TAs are overqualified and brilliant, and Christopher Makris gives the broadest and deepest lectures that time affords. Zeyu is a magician. I would call it comparable to a master's program in machine learning, if the student puts the necessary additional time for self learning and independent study. The bootcamp was one of the most informative, rich and interesting experiences of my life, but it comes with several caveats. For one, this isn't grade school, so you are expected to learn from trial and error on your own and be comfortable with mastering theory as well as execution. The staff are there as a complementary resource, and shouldn't be relied upon 24/7 as a crutch for lack of ability to work independently. In other words, you get out of the bootcamp exactly what effort you put in, and you should be able to figure out the gaps on your own.
This brings me to my next point, probably the only complaint I have with the bootcamp--the lack of selectiveness in admissions. Management is responsible for choosing a group of students that befits the brand exclusivity, and in my view admissions is not selective enough. This may hurt the camp in the long term. Several people came from non-technical disciplines and were very much able to learn quickly, but there were a couple who saw the instructors are their own personal tutors and significantly slowed the lecture process for others. If you have to ask a question every 10 minutes that interrupts the class schedule, or spend hours with TAs only to forget everything and have to repeat repeat the personal tutor process again, you should not apply here. It's not fair to other students. You will monopolize instructors' valuable time. There is no magic fix for becoming a data scientist, and after school age you should be able to learn on your own. In the age of the internet, there is no excuse for not being able to use Google. What I noticed from our cohort was the less someone knows, the more they talk. This is more a problem of the admissions officers/CEO than of the students who do not fit in; they should foresee these kinds of problems in the interview process and make sure that whoever gets in is technically competent. People who see this as a quick entry to becoming a data scientist should also be aware that not everyone who learns to program will be a good data scientist, and you won't simply be offered a job afterwards. What is instrumental in your career post-bootcamp are your original skills and experience. It is not a way to expedite the job search if you have recently become unemployed.
The interview process post-bootcamp is also autonomous, and you shouldn't expect to be given many interviews automatically unless you manage to find contacts on your own. Your projects are your own personal portfolio, and being self reliant on your ability will serve you better in the long run.
To summarize, the main lecturer is brilliant, an amazing teacher, who covers as much as possible in the limited time. You will learn more than you ever expected. The TAs are a major resource, but the main weakness is the admissions process. And lastly, if you can't learn things on your own, don't sour the bootcamp for others. There are many online courses, such as Coursera, which will be better for you.
The 3-month study at NYC Data Science Academy was a wonderful experience. For me, I polished my R and Python skills, did 5 projects including web scraping and machine learning, and more importantly, developed strong connections with many great people. 3 month after graduation I was hired as a data scientist by a data research company in NYC.
The curriculum is well organized. We learned R and Python programming, statistical analysis and machine learning. Dur...The 3-month study at NYC Data Science Academy was a wonderful experience. For me, I polished my R and Python skills, did 5 projects including web scraping and machine learning, and more importantly, developed strong connections with many great people. 3 month after graduation I was hired as a data scientist by a data research company in NYC.
The curriculum is well organized. We learned R and Python programming, statistical analysis and machine learning. During the last few weeks, big data tools like Hadoop and Spark was also covered. As a student coming from an academic background, I feel the classes taught by NYCDSA are pretty good. The knowledge covered in this class are broad and the difficulty feels just right. You can't expect to learn everything in 3 months, but the courses give you the ability to further explore any data science topic on your own. Both instructors and students are awesome in my cohort and I really learned a lot from them. The job assistance is good. In my opinion, the bootcamp have tried their best to help the students. There are network events, resume editing, and mock interview to help you prepare the job hunting. Vivian and Chris also arranged a few on-campus interviews, which were great chances for practice. It should be noted that the career transition into data science is not easy, and a 3-month study can't change your life. Only high-quality work, nonstop studying, and active networking can make this happen.Data Science Bootcamp was the best experience in my career. Instructers were not only helpful in teaching the regular materials but also guide you to establish your confidence in yourself to be a Data Scientist. They will help you even after completing your bootcamp. Nice and honest enviroment.
This course was the best thing to ever happen to me. In 20 weeks (4: pre work, 12: course, 4 job hunt) I went from someone who couldn't write 'Hello World' in python to a full blown Data Scientist, making six figures, with multiple companies vying for my interest.
What you should know:
You will get as much out of this course as you put in. I had many, many days where I was working well past midnight and back in class by 9:30am. You learn how to learn, which is THE skil...
This course was the best thing to ever happen to me. In 20 weeks (4: pre work, 12: course, 4 job hunt) I went from someone who couldn't write 'Hello World' in python to a full blown Data Scientist, making six figures, with multiple companies vying for my interest.
What you should know:
You will get as much out of this course as you put in. I had many, many days where I was working well past midnight and back in class by 9:30am. You learn how to learn, which is THE skill required for any coding job. The curriculum is intensive, and a lot of times I couldn't totally complete the homework without checking for answers from my peers, and that's okay! In the real world, much of your job will be interacting and working with a team.
Course:
Go every day, work hard, finish the projects on time, and hold yourself accountable. The lecturers do a great job, but ultimately when you're 24+ years old, nobody is going to spoon feed you. The homework is great, but when you try to put everything you've learned together into a well rounded project (there are 4-5 projects), that is when you really understand what is going on. Throw yourself full bore into the projects, and take pride in your work. 90% of what I learned, no exaggeration, was in the 3-5 days before projects were due. Its one thing to figure out homework by looking at the example sets, and a different thing entirely to apply those concepts to a data set with different structure and goals. If you are proud of your projects at the end, you will get a job. Period.
Job Hunt:
The job is the ultimate goal for 99% of people entering the camp. Unfortunately, there is some confusion about how the search will work. For one, you will not be "given" a job. For most people, the job search will take 1.5-3 months. Vivian has excellent contacts but she also has 40+ students. In order to guarantee yourself a job, you need to approach the process like a data science project. For me, I did "easy apply"s on LinkedIn, 50 a day. These take literally 15 seconds each. I then selected 15 companies a day with a more formal interview process, and sent them a variation of a pre-written cover letter. For my top picks, I tried to find a hiring manager or data scientist on the team, and add them on LinkedIn. I put my name on AngelList, and got many companies reaching out. I humbled myself and told everyone I was more interested in a great learning position, not a great salary. I iteratively changed my own interview methods, including voice tone, inflections, negotiations, honesty levels, until I found a balance that worked for me. You cannot just apply and hope. That is not a method.
Basically, the bootcamp is the first big step. The second big step is learning how to apply and interview. Many people send out 5-10 applications to their top picks (who are often everyone else's top picks as well) and then sit on their hands and wonder why they haven't gotten a job. When entering a new field, you have to make concessions about your salary and place of work, in order to reap the rewards down the line. Also, without multiple options, you will not be able to negotiate because you'll feel this is your only chance. BROADEN YOUR HORIZONS!
Overall:
The camp was the best decision I ever made. I read a book called Design Your Life, which basically said take how you want your life to be, then decide what is necessary to get it there.
I wanted to live in NYC, with a six figure job, working in an office with low stress, and love what I do. NYCDSA made all of that possible. If you have gotten a degree that isn't taking you where you want to be, but you know you're smart and can work hard, I strongly urge you to apply to NYCDSA today.
Long story short --
I have a PhD in computational geoscience and worked as a geophysicist in Houston for five years. I joined NYCDSA for the 12-week bootcamp, and worked as hard as I could. I was hired after my first interview, with an offer in hand within two weeks post graduation. NYCDSA has helped me achieve this smooth transition into a brand new field in just 3.5 months.
How I made the decision to join --
1) The time commitment is right: I was willi...
Long story short --
I have a PhD in computational geoscience and worked as a geophysicist in Houston for five years. I joined NYCDSA for the 12-week bootcamp, and worked as hard as I could. I was hired after my first interview, with an offer in hand within two weeks post graduation. NYCDSA has helped me achieve this smooth transition into a brand new field in just 3.5 months.
How I made the decision to join --
1) The time commitment is right: I was willing to put in a few months of my time through well-designed highly-intensive training, rather than spending a year or so to learn on my own. I do not want to go through a one-to-two-year data science master's program, considering a) I have a computational PhD degree, and b) although many data science theories have been long established, data science platforms and tools are evolving fast.
2) Word-of-Mouth: I have friends in New York working in the data domain recommending this academy over other data science training offerings. "richer content", "up-to-date material", "good instructors" are among the key words that I recall.
3) A balanced focus on teaching and job service: I have interviewed with a few different data science bootcamps. Many of them gave me a feeling that they want me to be 90% ready for a data scientist role coming in, and they are only willing to do the 10% polishing to get me "sold". NYCDSA convinced me with their road map that they will first focus on teaching the content that they are proud of, then switch gear near the end to the job search part. They shared their online pre-work content with me, so I could get ready. I was impressed by the quality of the recorded lectures and coding platform, which further boosted my faith in the academy.
Experience at the bootcamp --
1) The content
The teaching material is well developed and feels fresh. They keep polishing the core content and introduce many newly developed "jump start" sessions along the way. You are well informed about what's new out there while learning all the fundamentals.
2) The instructors
They have a stable teaching team here. Unlike many other camps which keep losing instructors and hiring recently graduated trainees as instructors, NYCDSA has a stable team. The majority of them started working here from years ago when the 12-week bootcamp was initiated.
They are a knowledgeable, friendly and hardworking group of people, with finance, math, computer science, physics background. When they are not teaching, they either help the students or work together on their side projects. It is smooth to learn from people you respect and admire.
3) The fellow campers
A vast majority of the students here have or are working on a graduate STEM degree, with a solid quantitative background. Many also bring in years of experience from finance, health care, software engineering, marketing or other fields. What they all share is a strong will to perform and succeed in data science.
I feel honored to have worked with a few of them on the group projects. We helped each other not just during the bootcamp, but also during the job search period. I am convinced that it is a great professional and personal network to be in, for the long future after our time at the academy.
4) The career service
NYCDSA organizes hiring events for each cohort. You will see quite a few Fortune 500 companies coming to the event, as well as promising start-ups. The NYSDSA career team verify the job vacancies, collect details about the hiring teams, and prepare cohort members individually for a successful outcome (resume, LinkedIn, GitHub, blog posts, interview skills, and many other aspects.) They also utilize their own personal network to get interview opportunities when they see a great match.
They keep supporting and motivating the students during the course of job search. There are rooms set aside for graduates to come back to and work on things. Here you get daily check-in's from the instructing team and helpful discussion with fellow cohort members. I have been enjoying this cozy and welcoming space often, and plan to keep gaining knowledge and energy from this ideally located data science hub.
Advice for future students --
1) Complete the pre-work, have an initial plan for the projects coming in.
2) Work hard during the bootcamp, be curious and independent. Treat it as a 3-month internship.
3) Plan to jump right into job hunting effort right after.
4) When working with wonderful teammates, make sure to deliver your parts; after achieving your goals, remind yourself that you have been kindly helped along the way.
Closing comments --
It has been a great investment. With the guidance, help, and support from NYCDSA, my job preparation and search time frame has been shortened by at least 3-6 months. For people with solid STEM background and strong desire to work in Data Science, this bootcamp should be a challenging and rewarding journey. I would continue to cherish the relationship I have built with my mentors and friends met during Cohort 9 at the academy. I wish them well.
I have posted a review also in a different website - but also wanted to share my opinions on this website for others to consider.
I took the Beginner R course, which was not that great reflecting back on it. In whatever class you take, the teachers make most of the difference, and in my case, we were not taught well. In the end, I cannot even remember if I have absorbed anything at all except for doing basic statistics in R. We were told that Vivian, the founder, would visit, but...
I have posted a review also in a different website - but also wanted to share my opinions on this website for others to consider.
I took the Beginner R course, which was not that great reflecting back on it. In whatever class you take, the teachers make most of the difference, and in my case, we were not taught well. In the end, I cannot even remember if I have absorbed anything at all except for doing basic statistics in R. We were told that Vivian, the founder, would visit, but she never visited. While doing self-study on free R online courses such as EdX, I discovered that the materials we received in this course was similar to what I found in these free online courses about R.
In the end, we presented our projects, but all of our projects were half-baked, because we did not absorb enough knowledge about R to prepare and present. Although my project was really using the bare basics of R, such as basic statistics (e.g. average, max, min), Vivian said that I did a great job and that I should sign up for the R Intermediate course. She kept on pressuring and asking me when I can join, and I later realized that this academy was really focused on making money off the data science buzz rather than really teaching students about how to master data science.
I took Vivian's Data Science course and had a fantastic experience. I networked with Data professionals from the NBA, the Federal Reserve Bank, NYC startups, and more. I learned a lot very quickly and had a lot of fun. It's a nice part of the city and the building has a great startup feel to it.
I am Data Scientist at Anheuser Busch today and I am going to share my experience with finding the right school and struggle that I faced.
Search for Schools:
It was hard to choose the right school for Data Science just by being online, I had recently graduated as a robotics and automation engineer and all my programming skills were result of self-education, In late August I was selected for the Interview process at Ne...
I am Data Scientist at Anheuser Busch today and I am going to share my experience with finding the right school and struggle that I faced.
Search for Schools:
It was hard to choose the right school for Data Science just by being online, I had recently graduated as a robotics and automation engineer and all my programming skills were result of self-education, In late August I was selected for the Interview process at New York Data Science Academy and General Assembly.
I first came to New York Data Science academy and I was interviewed by one instructor and one Business person, I never met them after that day so I don’t remember their names now, they asked me a series of programming questions, pretty basics some were based on the online application I filled and later some on my knowledge of statistics, it seemed to go well but at the end of the interview I was rejected.
The reason was I was not ready for the bootcamp, they had previously seen other student promise that they can learn quickly but what ended up happening was they left the bootcamp in middle, I was upset cause I really wanted to do it, but I also knew I was in a hurry, they suggested to take it slow and come for next cohort so I will not just be able to survive the bootcamp but also learn and really take something valuable from the camp.
I later went to General Assembly and attended their interview and introductory session, they had a much larger location, also a big conference room, I really like the place, I was provided an instructor who gave me a brief understanding of the course and what it would feel like. A week later I had my interview with Lally M, I had filled and application online but I never answered any programming questions, Lally was very nice and asked me few general questions, and also gave me few advices but all and all she did not really bothered if I was ready for the cohert, at the end of the interview she said I can join this cohort.
Prework:
It’s obvious what I did next, I left the option of General Assembly and prepared on my own for next 3 months, I met Vivan personally In November she is the Co-founder of New York Data Science Academy, she gave me access to a online learning and testing platform which is called the prework for the bootcamp, it covered all the basics of Python and R.
During the Bootcamp:
My Bootcamp started on 09th January 2017, I felt very confident during the bootcamp, I remember Chris said on the very first day "There are very few things in life that will give you a chance to have absolute devotion", in the beginning we were introduced to all the subjects again for first week, so even if you did not do prework you would not suffer entirely but I would suggest do your prework well.
Things started to get serious as soon as second week finished and it did not stop after that, we had classes from 9:30 AM to 3:00-4:00 PM, after which there was homework at the end of each day, added to it we had to do our first project, also I had to study for the subjects I learnt in the class, also I had to keep my LinkedIn and resume up to date, also you better keep going to networking events, all in one day with you getting enough sleep and food to have the same energy the next day.
Curriculum:
1) Introduction to R and Python , Unix (which helps in big data part)
2) Machine Learning - (a) Importing Data (b) Foundation of statistical Methods (c) Missing value and Imputation (d) Simple Linear Regression (e) Multiple Linear Regression (f) Generalized Linear Model and kNN Model (g) Regularization and Cross Validation (e) Tree Models, Bagging , Boosting , Random Forest (f) SVM (g) Time Series Analysis (h) Cross-Validation (i) Bootstraping (j) Feature Selection (k) Regularizartion (l) Hyperperameter Tunning (m) SVM (n) Tree Models (o) Association Rule (p) Naive Bayes (q) Principal Component Analysis (r) Clustering (s) Unsupervised Learning (t) XGBOOST (u) Tensorflow (v) Netral Network (w) Concolutional Neural Nets.
3) Big Data - (a) Hadoop (b) pig (c) hive (d) nosql (e) Apache Spark (f) DATAiku(platform) (g) DataBricks(platform) (h) Virtual Environment - Docker.
Project:
1) Try to solve real life problems in your Projects, you will have the freedom to choose your projects, choose them wisely. I had a chance to do one of the Kaggle project, it helped me learn from some of the best Data Scientist in the world and if I did not understand something in any project, the teaching assistants came to rescue.
2) You will do 4 to 5 projects including Capstone, finish them well, do not leave any part mid way, submit your code on Github and you will be told to write blogs on the platform provided by the academy, write them well.
Job Assistence:
1) Mock Interview sessions - Coding Test, theory of Machine Learning Test.
2) Resume Writing Session - Resumen writing, cover letter, Job status sheets, email - cold warm, Meeting Letter, thank you notes.
3) General Prep Session - Photo Shoot, Linkedin, In house Meetups, In house video recording during project presentation.
4) Interviews - Hiring Event, Introduction to Employers, Referal.
The Bootcamp:
The bootcamp changed my life as I am no longer the same person I was before January, even though 50% students in my batch had a PhD, 46% had a Masters and many years of job experience, I was among the 4% Undergraduate category who luckily got here, but this played in my favour as I learnt a lot from my peers, I truly came out a Star in my own eyes, I would like to give the credit to Vivan and Chris as a host in my Ex Home, who were supportive at the end of each day, coming up to you and checking on you if you are still doing okay, the reason I finished all my projects in Flying colours was my Teaching Assistants, who stayed back every day till 7:00PM sometimes and came back in at 8:30 AM, yet managed to stay active on Slack during the night during, I would also like to thank my peers with who I learned many Industry Skills and Best Practices, during my group projects I was led by a Math PhD Mr. Domingos, who now works at google, I had a chance to grow enormously on his team.
At the end of the cohort we all graduate in flying colours, it was very emotional day, thank fully we all are still in touch, I strongly suggest to make meaningful relationships during the cohort, after the school, you constantly have doubts and questions, like after job interviews, during your projects in the company, your colleagues will help you understand and overcome these doubts.
After the cohort we had our official Hiring day just a week later on 5th April 2017, I managed to meet 12 - 15 different companies, out of which the one I had a heavy interest in was IBM (who would not). Later I got a referral from IBM and I am currently Interviewing as a Data Scientist for IBM advance Global Analytical Team. I was trained to crack these interviews and trained to speak and write during the bootcamp, so I would do pretty well. One more advice will be to take this week and go through all the lectures once again and not give in the temptation to rest or relax.
I got my offer after 15 days of the bootcamp but for many it can take few months. At the end I would say 3 months of bootcamp can only prepare you to understand the science behind the scenes and provide capacity to be a more analytical person, but to be a good Data Scientist, I still study everyday, learn about ongoing research and connect with knowlegeable people.
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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