NYC Data Science Academy Reviews
Page 6
-
Sam Nuzbrokh
Shop Around Elsewhere
Read more Read less of Sam Nuzbrokh's review
I won't go into a description of what the Bootcamp offers - you can find that in the reviews below. All of them are accurate as to the material that the program offers.
I'll give my opinion of the FINANCIAL sense of going to this bootcamp versus others and the level of job assistance provided - which is what most of you reading this are actually interested in.
Let's do a compare and contrast with springboard.com (not paid for this, just using as an example)
Springboard- $7,500 upfront tuition ($8,900)
- Full Refund Guarantee (after 6 months of no job)
- Deferred Tuition until you land a job
NYC Data Science- $17,000 tuition ($5,000 deposit)
- No refund guarantee
- No deferred tuition option
You'd think with that price tag, there'd be some awesome job network or assistance provided, right?
Not really.
They might send you a prospect once every two weeks.
But, all the interviews I gained were through my own efforts on LinkedIn.
The most they'll tell you is some superficial styling tips for your resume.
And that's about it. Connections they do not provide.
There was supposed to be a networking event with employers at the end of the program.
Didn't happen.
The closest to that was an invitation to a "Gender Equalithon" hackathon by Esteem whose stated goal is to "Hire & Retain Women, People of Color, LGBTQ, Latinx in Tech".
The point of this is - is that job assistance is important. The material can be learned anywhere - other bootcamps, online, universities.
But the major selling point for these operations is the job assistance and access to their professional network.
And by that metric, NYC Data Science doesn't deliver.
P.S.
The reason you probably don't see more negative reviews of these bootcamps, is because people are still angling for job assistance and most are scared to speak up or burn bridges.Team of NYC Data Science Academy
NYC Data Science Academy
Nov 20, 2020
We're sorry to hear that you didn't have a great experience regarding your post-bootcamp job assistance. We stand by our commitment to help place you and all of our graduates. We will reach out to you to identify areas where we can better serve you going forward. -
Jessie Wang
Good Experience
Read more Read less of Jessie Wang's review
Earlier this year, I decided to pursue a career change. I was working as an actuary for several years, and became interested in the world of data science. Even though actuarial science is considered to be the original data science, in modern times, the two career tracks are quite different. It felt intimidating to make the transition into the field of data science on my own, not knowing where to get started. In the beginning I was looking into getting a master’s in data science. However, I was deterred by the huge time, and cost commitment of pursuing a master’s degree. I started investigating various data science bootcamps having known several people who had successfully made career changes by attending bootcamps for programming, or design. A friend of mine recommended I check out NYCDSA. In the end, I chose NYCDSA over other programs I was considering, because it is the only data science academy that teaches both R and Python. The bootcamp is only 3 months long, but covers a ton of material, and will be one of the most intense learning experiences of your life. The program focuses heavily on practical applications. and is structured so you’re picking up the right skills in the most efficient manner. The instructors are super knowledgeable, and always there to support you along the way. A career in Data Science is a continuous learning journey, and NYCDSA was the perfect place for me to get started. I think the bootcamp does a fantastic job of helping you build a solid foundation of data science skills applicable to a range of data science career tracks. Simultaneously, there’s a lot of freedom to explore the niche field you are interested in. -
Catherine Tang
silver lining in the middle of a pandemic
i started this program during the pandemic and absolutely no regrets. i was skeptical having it online at first but the instructors and TA's make it as hassle-free as possible to help you out. Its tough, but you dont really want it too easy, would you? -
Yan Mu
Best Bootcamp
Read more Read less of Yan Mu's review
After working in the financial sector for over ten years, I have decided to strengthen data science skills, such skills are increasingly critical in problem solving. I chose NYC Data Science Academy over other bootcamps since it has a more comprehensive curriculum, the quality of faculty and the successful graduate networking. The 12-week curriculum covers the basics of data science, including Python, R and SQL coding skills, machine learning, clustering and algorithms knowledge, such a curriculum is indispensable in developing the data science-based analytical skills. The projects and the homework that we were assigned to are also quite useful to prepare job interviews. Alex and Luke are great instructors who helped out a lot with my study, as did TAs, I also made great friends from the cohort that I worked with here. I received invaluable support from the bootcamp in data scientist and data analyst interviews. I must say this is the best bootcamp to learn and improve data science skills and develop professional networks. -
Eric Meyers
Unparalleled Data Science Education
Read more Read less of Eric Meyers's review
I had been an advanced analytics director in media looking to make a career change into the healthcare field as a data scientist. I was working with marketing scientists in my prior job that were using machine learning but was not fully aware of the power, accuracy, and methodology behind statistical models and machine learning. Not only did I learn the ins and outs of traditional machine learning through this course, but I also picked up hands on experience web scraping, analyzing many types of data sets, and creating my own algorithms and machine learning models to tackle real-life problems such as predicting critical disease. R & Python are taught side by side, allowing you to pick up both languages and also understanding pros and cons of each.
Don't get me wrong, this was a lot of hard work, but if you're looking to make a career change and become a data scientist there is really no better way than to enter the belly of the beast. This is called a bootcamp for a reason so expect to roll up your sleeves and work very hard. However, if you do all your assignments, listen to the helpful advise from the instructors and administrators, and really make practical use of your projects and career support, this will be a career changing experience for you, as it was for me. -
Mia Zhang
Data Science Analyst
Read more Read less of Mia Zhang's review
This 12-week course begins with a well-structured introduction to Python, R, and SQL and is friendly for beginners with no programming background. You'll be able to complete the first two projects: one is about web scraping and one is data visualization with R Shiny. We then covered the most popular machine learning models and concepts, which we implemented in the last two group projects. The boot camp also helps with resume, elevator pitch, code challenges, and there is a well-planned post-boot camp review section to prepare for theories and interviews. I have four years of experience working as a financial analyst and managed to get an offer one week after the career event. The things you learn here are the most practical skills in the professional world and will help you continue learning data science on your own after the boot camp. Job support is great!
-
Kirsten Schulz
Excellent class
Read more Read less of Kirsten Schulz's review
I took Dr. Krohn's Deep Learning class with the intention of keeping my self updated with new skills. After a week of class I found myself immersed on Deep Learning reading as much articles as I could on the subject. Dr. Krohn taught the class with a perfect balance between the math and the implementations, ideal for our class which had professionals with different backgrounds. We received a lot of information in each of the five sessions but the pace was OK because the 5 weeks were not exactly in a row. I would recommend this class to any body who wants to get ahead with new technologies or who is just curious about them. If you decide to take the class, make sure to do the reading assignments and play with the software on your own. For the one optional project, I would recommend to immediately start a project with the material of the second class (our first implementation); so that you can get the help that you need if you get stuck and you can even have a chance to make a second project (maybe in NLP). This would be specially useful if you are a software developer and want to try the different implementations.
-
Dylan Dempsey
Python for Machine Learning
Read more Read less of Dylan Dempsey's review
Very solid class with an excellent professor Ryan Courtney. We covered all the bases and the professor was very careful to make sure that everyone was being brought along with the course material but still went out of his way to challenge us. Classic socratic method style of pushing the class. Like most courses it still comes down to what you are willing to put in time and effort wise but it was an excellent guided adventure.
-
zhuoyi liu
Amazing Bootcamp
Read more Read less of zhuoyi liu's review
I graduated in end of June(Cohort 17). Right now I'm a Data engineer at top tech firm in China.
The bootcamp materies encompass big data, machine learning, and data analysis tool such as Python, R, SQL.
This include all the to-go package to be a Data Scientist. I'm so grateful that I attended this bootcamp. Peoples in the bootcamp are very nice and helpful.
This is the big community for every people that want to be a data scientist, come and join us! -
Josh
HIGHLY RECOMMEND 12 WEEK DATA SCIENCE BOOTCAMP
Read more Read less of Josh's review
I attended the in person 12 Week Bootcamp during the end of 2017 and I am working as a Data Scientist at a highly recognized tech startup! For those considering studying data science I highly recommend NYC Data Science Academy. The main differentiator of NYC Data Science Academy from all the competitors is the curriculum. The founder herself(Vivian) was one of the first era of data scientists who studies statistics and programming before "data science" got popular. So the curriculum reflects this in that the bootcamp knows what it takes to succeed in data science in the real world. The 12 weeks consist of SQL, R, Python, Machine Learning Algorithms, and Bid Data/Deep Learning with the emphasis primarily on practical aspect of these tools. After the 12 weeks I wasn't a master of all things data science, but the bootcamp really equips you to be able to find your own answers to any data science question (engineering as well!) and make yourself a highly sought after candidate.
The only "con" I guess is that you have to work your butt off! You're cramming years worth of an equivalent master's degree into 12 weeks, so you really have to be able to focus and have a passion for data and learning. But as an encouragement, all the people that worked hard ALL ended up with a really solid data job that they are proud of. You don't have to take my word for it, check LinkedIn to verify that NYC Data Science Acadey worked for a lot of great students
-
SEAN SW LEE
A great experience in data science
Read more Read less of SEAN SW LEE's review
Before I attended NYC data science academy bootcamp, I already had chances to take some short introductory courses in R, Python, and machine learning at other institutes. But even after taking such courses, my skills and understanding were very limited, and I actually had difficulties doing researches. This is why I came to attend the NYC data science bootcamp.
During the bootcamp, we learned data science/machine learning not only in R but also in Python. The codes that I got from lecture codes and homework are valuable, and I find them very helpful for conducting my research. In particular, since R and Python have their own highs and lows, I'm able to use both R and Python in complementary ways in my researches, which are actually very good points of the bootcamp program.
When I conmpare the lecture notes from NYC data science bootcamp with lecture notes obtained elsewhere, I find that the lecture notes from NYC data science bootcamp are well organized to successfully explain fundamental theories.
I think the teachers here are very knowledgeable, and their lectures are very efficient. Many of the teachers also shared their experience in the data science industry and gave us ideas about what it is like to work in the data science industry, which was another good point of this program. When students needed helps, TAs, managers, or teachers were available either in person or on slacks for discussions.
I think this is a highly recommendable program for anyone interested in data science. But, before this program starts, enrolled students are highly recommended to do their best in the preliminary lectures to be better prepared. In addition, students need to work really hard in lectures, homework, and projects.
I'd highly recommend this program.
-
Paul C
Solid python courses; great instructor too
Read more Read less of Paul C's review
I recently completed two NYCDSA courses: 'Python Introductory' and 'Python Data Visualization & Analysis' taught by Tony Schultz in July 2019. First, the courses provide a really great foundation to learn python and bulding out your technical skills for applications. Second, Tony is a great instructor and walks you through everything. He takes the time to explain difficult concepts and provides simple explanations to understanding code. Highly recommend to those who are looking to build out their technical skills.
-
David Levy
A+ Bootcamp
Read more Read less of David Levy's review
Amazing bootcamp and experience! The teachers and TA's are extremely knowledgable and caring- going over and beyond in their support of students. The program is also exceptionally well-managed and upper management genuinely cares about the success of their students; both throughout the bootcamp and after graduation.
As in most things in life- you will get what you put in. Be prepared to work really hard- you will learn a TON and set yourself up for success in the data science field. You will also build an outstanding network and support system of like-minded, good people!
HIGHLY recommended!
-
Devika Pradhan
Great experience, excellent hands-on course with top class instructor!
Read more Read less of Devika Pradhan's review
I took the "Data Science with Python: Data Analysis and Visualization" class taught by Tony Schultz this summer. The course content is thorough, well formed and covered a lot of areas within the short amount of time. Tony was great with explaining all the concepts. Often times he covered more than just one way to solve a problem and encouraged us to develop our own coding styles. Definitely recommend this class to all working professionals interested in learning Data Science using Python.
-
Adrian Gillerman
Good and Difficult
Read more Read less of Adrian Gillerman's review
The bootcamp offers even seasoned machine learning practitioners something new, and everyone (regardless of their coding background) can get something out of it. The instructors are nice and want you to succeed but there is so much information packed into such a short amount of time. I liked this bootcamp but found it difficult.
On a more personal note, I would not have gotten the job that I have now at Bloomberg without this bootcamp. I received letters of recommendation from two instructors as well as a practice interview with one of the camp’s alumni who had recently gone through the same interview process. The interviewer mentioned that the bootcamp made me stick out as an applicant and was part of the reason why I got this position. As I reflect on this experience though, I felt like I was floundering the entire time and overall the experience was not enjoyable because of the magnitude of work. However, I ended up learning so much about R and the different machine learning techniques. Even though I came from a mathematical background with some machine learning experience I was not able to comprehend some material during the program.
Some of you reading this review may be thinking in a strictly cost-benefit mindset. For me, the financial benefit has outweighed the cost especially because I am at the beginning of my career. Because of the quality of the instructors, the opportunities the bootcamp unlocks, and the interesting subject material I would recommend this bootcamp to anyone looking for a challenging way to jumpstart their machine learning adventure.
-
Jane Li
Well Structured Course and Great Python Learning Experience
I took the Python course about Data Analysis and Visualization. Tony taught everything in a very clear and organized manner. Highly recommend the course to anyone who are interested to learn more about data analytics and pursue the data scientist career.
-
Leona Isabelle
Excellent Introductory Python course
Read more Read less of Leona Isabelle's review
I attended the Introductory Python course at NYC Data Science Academy taught by Tony Shultz. I really appreciate his style of teaching - it was a great balance of theory and practice. He also brought a lot of energy to the class which made a big difference especially as it was in the evenings after work. He also takes the time to go through the HWs and clarify students' questions - he is clearly very engaged in teaching and makes a lot of effort to support his students.
I highly recommend this class. -
Dmitri Levonian
Deep Learning with TensorFlow
Read more Read less of Dmitri Levonian's review
Jon Krohn gave a wide overview of basic deep learning models - convolutional, recurrent, some unsupervised learning approaches, etc. This is obviously a lot of material and there are only 5 sessions, so discussion was typically sacrificing depth for breadth.
As a starting point to understand DL, e.g. for someone with traditional stat/quant background, this is a great course. Jon explains the basic mechanics of a neural network down to matrix transformations.
On the other hand, if you already understand the basic DL and are looking to develop practical application skills including TensorFlow, this course may be a slight disappointment.
-
HF
Great Experience
Read more Read less of HF's review
The course “Data Science with Python: Data Analysis and Visualization” is perfect if you are fairly new to “Data Science”. It begins with a general overview of basic knowledge in python before going to the analysis content. You will learn Numpy, Pandas, Visualization and Seaborn after you finish the course. The instructor Anthony Schultz introduced every chapter in a slow and comprehensive pace. The course notes are well organized. You can ask any questions during the class and Anthony will explain your question with great amount of details. I would love to recommend to take this class if you are planning to pursuing your career in Data Science. Five Stars!!
-
Julio Villar
Good, informative course.
The teacher was able to properly explain all the concepts. Very easy to follow and understand. Homework looks challenging but if you listen in class, it's doable. Would definitely recommend.
-
Marius P.
Very practical, code-oriented course
Read more Read less of Marius P.'s review
You can read books about deep learning and in fact the instructor Jon Krohn has a new book out as well. However, there is a gap between reading and understanding conceptually and writing code to solve a real-world problem. This course completely fills the gap.
The instructor does give you the conceptual foundations, assuming no prior knowledge. I did have some prior knowledge, but still the class is self-contained.
I would say 30-40% of class time is spent discussing code that solves a practical problem. I think this is the perfect balance: you can't delve more into code without a global understanding why all those parameters may be required and you can't delve deeper into theory without neglecting the practical question of "where do I begin".
The instructor is very personable and easy to approach about his own experience in the industry.
-
Manjula
Totally worth your time!
Read more Read less of Manjula's review
I came across NYC Data Science Academy when I was looking for certification courses with classroom learning and I am glad I made a decision to take it up. It was a well planned course which was spread over five Sundays. Our instructor, Anthony Schultz, was extremely knowledgeable and passionate about teaching Python which made the whole course a very enjoyable experience. The course content had in depth coverage with examples to elaborate each concept, giving us the opportunity to learn as we progress. By the end of this course, you would get a good grip of Python which you can apply in your daily work.
-
74066366EB14503E0F379266E1EFA24EFB3C29F54BD0751E50E8025293CD82A8
Wide-ranging overview
I took Data Science with Python: Data Analysis and Visualization with Tony Schultz. The course was a wide-ranging overview of basic Python, Numpy, Scipy, Pandas, and Matplotlib (and a little Seaborn) that managed to fit into 5 sessions. The materials were organized and gave nice opportunities to practice. Tony was extremely helpful and made all questions welcome.
-
Naveen Ramachandran
Python Data Analysis and Visualization
The class was concise and impactful. I really enjoyed the topics covered and thought that the homework was really beneficial in driving home the coursework. The pace of the course was pretty reasonable and I was able to follow the curiculum very well.
-
Erinc Eyuboglu
Great course
I really enjoyed the contents and the samples that Anthony gave us. If you have some background about coding and maths this course is for you to start to build up your skills with phython.
-
Lukas Frei
Extremely Rewarding Experience
Read more Read less of Lukas Frei's review
I chose the NYC Data Science Academy over other bootcamps mainly because of its outstanding reviews as well as the fact that it offers its courses simultaneously in R and in Python.
After working through the extensive prework in Python, R, and SQL (an absolute must if you do not have any previous coding experience), I was perfectly prepared to attend the bootcamp.The bootcamp itself offered far more than I had expected. Phenomenal teachers that will give their everything to help you understand the topics, TA's that are always there to help with smaller questions as well as great classmates that made studying a lot easier. Nevertheless, you should not come here expecting a relaxed ride. Teaching data science in twelve weeks requires a fast pace and it will be up to you to put in those hours to complete the homework and review lectures.
The curriculum itself is centered around four projects that deal with all aspects of the data science process, from gathering data (web scraping) over creating a dashboard to working on machine learning group projects. My initial intention coming here was to learn as much as possible as fast as possible and this bootcamp turned out to be everything that I had hoped for.
On top of that, Vivian and the team offered several job search and interview preparation lectures and talks that I have not seen anywhere else. If you are looking for a data science bootcamp that covers all data science topics from start to finish and you are willing to put in the work, this bootcamp is the best decision you can make.
-
Ilya Fischhoff
Great teaching!
Read more Read less of Ilya Fischhoff's review
I took NYC Data Science Academy's deep learning course, taught by Jon Krohn. Jon is a terrific teacher, and I would heartily recommend this course! Jon had tremendous enthusiasm and patience for questions while still keeping us on track with the schedule. He really broke things down into bite-size, understandable pieces, while still covering a lot of breadth and depth. I appreciated Jon making available his draft book, this really complemented the lectures. I liked the format of once-a-week lessons because it gave time for concepts to sink in and to practice things with my own data in between sessions. I appreciated that Jon made time to troubleshoot challenges we experienced in our own projects. The course was both a great introduction to concepts and to some of the ways people are applying deep learning; here examples from Jon's day job were valuable. One aspect of the course that was very helpful was that Jon set up a Docker environment for us, and shared very clear instructions for getting our computers set up with it in advance. We were all ready to go from the start. I'm all the more grateful for Jon having set that up after recently spending half of a workshop (run by a different data science academy) wrestling with Anaconda. The Jupyter notebooks all just worked, so we could focus on learning.
-
Shiva Panicker
Amazing Program!
Read more Read less of Shiva Panicker's review
I entered the bootcamp with a background in Mathematics and some previous exposure to machine learning theory. Programming was relatively new to me at the time, so my first course of action was to familiarize myself with Python and R. Thankfully, NYC Data Science Academy provided over 30hrs of pre-bootcamp material (video lectures, in-person lectures, and textbooks), which included coding in Python, R, and some introductory statistics. The program kicks off with a small overview of the tools needed to begin studying data science (mostly to bring everyone up to the same page), and then dives right in to data visualization as the first major topic of study. There is a strong sense of camaraderie with students throughout the program, and there is a strong family-like atmosphere in the space. Most importantly, the curriculum is very strong, and the instructors have deep practical and theoretical knowledge on the material covered. I found it a privilege to study under some of NYCDSA's staff, as they really are the cream of the crop. On top of a strong curriculum, there are many career workshops during and after the program is complete. Some of the workshops include professional development, discussions with industry leaders and practitioners (Kirk Borne spoke to my cohort), and interview/case study prep. The post-graduation network is incredibly strong and supportive for alumni seeking jobs, with frequent interview and networking opportunities provided. Vivian (the program founder) has a vast professional network, which she utilizes for student and alumni needs. I'm incredibly happy to have completed the program, and to have worked with such a terrific set of instructors, teaching assistants, and classmates during that time. I couldn't have asked for a better start to my data science career.
-
Sunanda Mishra
Making a Career Change
Read more Read less of Sunanda Mishra's review
I went to NYCDSA in hopes of changing careers. My undergraduate degree was in statistics, and I worked as an actuary for 6 years and earned my actuarial credentials in this time. I was bored of actuarial work and was looking for a change into data science since my background was related. While I had the statistics knowledge, I needed to beef up my coding experience. After reading tons and tons of reviews of bootcamps, I narrowed it down to NYCDSA, Metis and Galvanize. NYCDSA had the most comprehensive syllabus and it looked like students found jobs relatively quickly after the bootcamp ended. NYCDSA lived up to my expectations with respect to how comprehensive the program was. The projects really helped me solidify my knowledge in Machine Learning techniques and my practice with coding. I will say, as an actuary and statistics major, my knowledge of statistics was already pretty decent. NYCDSA went through a semester's worth of course material in 1-2 days at times- this may be too fast to get a thorough understanding, however it's up to the student to study more outside of the bootcamp if needed. After the bootcamp, NYCDSA helped a ton with finding a job. After the hiring partner event, I had 5 interviews lined up with well established companies. Further, Vivian has connections with TONS of companies in NYC and her connections helped a lot with securing interviews beyond those at the hiring partner event. Vivian would reach out to us regularly to see how our job hunt is progressing and even offerred to have 1x1 sessions to make sure there was a constant pipeline of interviews. After 2 months of interviewing, I received 2 job offers. Both offers were from insurance companies that valued my actuarial background and my newly acquired data science skills. I can definitely say, I wouldn't have been able to land these jobs without being able to speak to the projects I did at NYCDSA during those interviews. -
Katie Sohn
Awesome experience, highly recommend
Read more Read less of Katie Sohn's review
NYCDSA is definitely a great program for anyone looking to get into data science. I can honestly say it was one of the most challenging and rewarding things I have done. Despite not coming from a STEM background or having any sort of relevant experience initially, the bootcamp still prepared me to be able to land a data science job after.
Prior to deciding to join the bootcamp I was referred by a friend who also did not come from a STEM background that highly recommended the program. I decided to try a part time Python course that was offered by the academy to see if this was something I could continue to pursue while also doing more of my own research. After the class I applied and got into the January cohort but decided to defer my acceptance to the following cohort. I think that if anyone is considering the bootcamp and does not have any sort of applicable experience like myself, I highly recommend giving yourself time to complete as much of the pre-work as possible before diving in. Between Python and R, I would try to get as familiar with Python as possible through the pre-work and even beyond that if possible. The staff emphasized this during the interview process and after being accepted, but this became even more apparent once the bootcamp started. The first few weeks of the cohort were more of a review from the pre-work and the class I had taken as we quickly learned both R and Python. However, because I had completed the course and completed a good amount of pre-work, I was able to focus more on solidifying concepts rather than struggling to understand and keep up with learning the code on the fly. This also helped towards the end when completing more complex projects, but I think that if I had dedicated an even greater amount of time beforehand, this could have helped me to push myself even further during the bootcamp.
The reason I picked NYCDSA was because it had the best overall reviews and I wanted to learn both Python and R (I noticed some other bootcamps focused only on Python). The whole program was well structured and organized, but quickly became very intense once we started going into completely new material. It is all definitely manageable however, and what you get out of it really will be what you put into the bootcamp yourself. The staff also makes sure to simultaneously help you get your resume ready by the time you graduate and prep you for what to expect for interviews.
In terms of my experience post bootcamp, the staff still does everything they can to support you in the job hunting process which I really appreciated and have a pretty large network to tap into. For myself, there was a lot of work to be done in terms of networking and preparation given that I was pivoting into an entirely different field, but I found that domain experience definitely helped in my case in terms of getting some interviews.
When I look back on the bootcamp I'm really amazed at all we accomplished and learned in a relatively short time. I also made a lot of close friends in my cohort given that the majority of our time during the three months was spent together. It was great to learn alongside people with diverse experiences/backgrounds and I feel that for the most part everyone was supportive of one another. If you're interested in the field, willing to sacrifice the time, and want to challenge yourself, then I highly recommend signing up!
-
Americo Pietropaolo
Introductory Python
Read more Read less of Americo Pietropaolo's review
This course has been my first attempt to learn how to code. I have enjoyed it a lot. Very interesting, and I would recommend it to anybody that, as myself, has no prior experience with coding. Among other things, our teacher ( Tony Schultz) was outstanding. He is extremely well prepared, very focused on actually making us learn and like Python, is well organized, and has a very engaging way of running his lessons. Overall it has been a great experience, and it's very likely that I will take other classes at NYC Data Science Academy.
-
Michelle Vu
Part Time - Introductory Python
Read more Read less of Michelle Vu's review
This review is for the Introduction to Python course. My background is in business intelligence, business process and data governance. I use SQL at my job daily but have had no formal programming training.
The introduction Python course was perfect for beginners. Tony, my instructor was extremely knowledgeable and did a fantastic job explaining concepts clearly. I was very impressed with the number of topics that were covered in 8 sessions and how organized the course and the communication was. For an evening class after a full work day, his personality kept the class lively and interesting.
If you’re like me and coming in with no programming background, I highly recommend reading up and taking some free online Python courses beforehand. Overall, this was a great learning experience and I highly recommend NYCDSA.
-
Melanie
Something you will never regret doing!
Read more Read less of Melanie's review
Best decision I have ever made for my career. If you also have realized that the way we collect, analyze, understand, and utilize data will determine the future and potentially your career path too, this boot camp is what you need to do. I came in expecting a strict syllabus and skilled instructors but what I got was so much more.
My experience with the NYC Academy for Data Science was fascinating, exhausting, humbling, and rewarding. I learned more than I could have imagined and I made new life-long friends. Your fellows will be a colorful mix from across degrees, disciplines, and nationalities. That also means that you will hear and learn from different perspectives, which will expand your horizon significantly. All instructors and TAs (highly skilled, smart, funny, friendly, and fantastic) are there to support and help you with whatever problem you have and the syllabus is business-oriented to prepare you the best way possible for your future endeavors. After 12 weeks, you will know how to code, how to tackle data science projects, and how to communicate your findings effectively. You will also know how to manage Big Data or how to build complex Deep Learning algorithms.
It won't be easy though and although they give you all the resources you need, it will be up to you how much you get out of it. So expect all-nighters, some frustrating and seemingly hopeless moments combined with desperate runs to the coffee machine. BUT IT IS WORTH IT. You can do anything for 3 months and if you put all you have into it, you won't regret a single minute.
I would do it again. Like I said, best decision I have ever made for my career.
-
Richie Bui
You get as much as you give
Read more Read less of Richie Bui's review
Getting straight to the point, this bootcamp is for people who actually want to learn data science, not for people who are looking to get paid more money. If you don't have the passion and grit to handle an intensive bootcamp as NYCDSA teaches, don't bother coming. I am coming from a B.S. in Biology and worked for 3 years at a large company and this is my advice to those who have NO CODING experience.
Advice:
-DO ALL THE PREWORK. This is not a joke, do all the prework as much as you can to be prepared for what's to come during the bootcamp. Yes, it will be disappointing failing over and over again but you need to be okay and comfortable failing in order to be learning the material that is given to you
-SUPPLEMENTAL COURSES. Along with the pre-work, they recommend you take Andrew Ng's Machine Learning course and brush up on your linear algebra because you'll need it for the end of the course and you won't have time to do that during the time of the course
-TRY, FAIL, REPEAT. In order for you to get comfortable with coding, you're gonna need to repeat the same line of code over and over again until you get it in your head. I know, because I had to do this myself throughout the whole course.
-ASK YOUR NEIGHBOR. The first day is always awkward meeting new people, but with how much work you have to do, you'll get over it fast and want someone else's view on a particular matter. The teachers there are great, but sometimes you'll need someone to explain in a new way or you have to explain it to someone else so you can solidify your own knowledge. So do yourself a favor and ask a neighbor before asking the teacher first.
-PREPARE. This course can be a breeze, or this course can be a challenging experiencing. It is so easy for anyone to come and just breeze through all the material they give you, but it is really up to you to make it harder for yourself and learn topics and implementing them right away. If you want to make the most out of it then you need to COME EARLY, STAY LATE, ASK QUESTIONS.Many think this course starts off slow, but take this time to grab a strong foundation in your coding skills in R and Python because after the first weeks are gone, you're gonna miss it. The course becomes relentless in terms of the material they give you and how much time you have to get it done.
PROS:
- This bootcamp helps those who have no coding experience but does require you to have some knowledge in statistics and linear algebra (if you don't have any of that under your belt, brush up)
-Materials given to learn and understand the material is a great learning experience
-Super friendly and willing to help you
-Upfront about hiring and what you need to do to get hired
-Hiring event was an amazing opportunity to get you started with interviewsCONS:
-Some of the teaching staff know English as a second language, so it may be difficult for some to understand clearly what they are trying to explain. Be patient and ask questions when appropriate if you are confused.
-Space is rather small and does not provide the most optimal space to do group projects.
-Although the hiring event was absolutely amazing, some of the requirements do ask a pretty demanding qualification and a majority of job postings are not entry level/associate positions (keep this in mind)CONCLUSION
I recommend this course to anyone who is planning to take data science as a new career path. Keep in mind that this field is interdisciplinary and allows for people of all range of backgrounds to be in data science. The teacher, staff, and fellows were amazing and glad I got to learn as much as I did, however, after this bootcamp, it is actually just the beginning of how much you actually can learn of what's out there in the field today. -
Jian Qiao
Best Data Science Bootcamp
Well arranged curriculum.
Very nice and helpful professors.
Although it seems as a great initial investment, but definitely worth it
-
Nidhi
Great Class!
Read more Read less of Nidhi's review
I took the part time Data Analysis and Visualization weekend course with Tony Schultz. I really enjoyed the curriculum and the class. I did not have any experience with Python before joining his class but had basic knowledge on data structures. The first class is a basic overview and felt a bit rushed for me as I had no previous python experience. However the pre-reading for this class got me upto speed on those concepts. The rest of the classes were well paced and I enjoyed learning those concepts. Tony's curriculum was very hands on and thats the bit I really liked about this class. Would recommend this class to anyone.
-
James
I learned more than I expected, then I got hired
Read more Read less of James's review
(I’m reviewing the 12-Week Full Time Data Science Bootcamp. They offer an identical program online, but there are some benefits to attending the program in-person.)
Background: I received a PhD in chemistry from a great university in 2016 and worked as a postdoc for 2 years. In grad school I learned to code and analyze data extensively with MATLAB and during my postdoc I learned very basic Python. When I reached the end of my contract I realized that I was not enjoying other parts of scientific research as much as programming and data analysis, so I decided to apply to do software engineering science-adjacent companies. With a background only in MATLAB and minor Python, I didn’t get any positive responses. After stumbling across an article about transitioning from scientific research to software engineering, I soon started reading about Data Science which sits at the intersection of my professional experience and my ideal workday schedule (coding over chemistry).
Choosing a bootcamp: I did some research online into free data science courses and bootcamps by reading reviews and talking to a friend who was a hiring manager in software engineering. To save the money, I had considered “rolling my own” bootcamp using open and available courses online, but my friend warned me against this, saying I needed to focus more on building a code portfolio for companies to see and focus less on taking courses. Looking back, I realize she was right. Without any guidance it would have taken me 9 months or more to do what I did in 3 months at the boot camp. I focused my applications on the top-rated programs as well as ones that guaranteed jobs or provided scholarships. After being accepted into two programs (the other offering me a significant scholarship) I based my decision on the reviews of previous students- and NYCDSA had the better reviews. Deciding to change fields after a PhD felt so risky (and even foolish) that I wanted to have no regrets even if I failed. So I picked the program with the most reviews from satisfied students and with the least dissatisfied students.
The bootcamp: The bootcamp is as hard as it should be. If it weren’t hard, employers wouldn’t take the experience seriously. I treated it like a hiatus in the rest of my life to pursue this singular goal. Sometimes you’re drinking out of a firehose, attending 3-6 hours of lecture a day while working on a project and completing the lecture homework. At the same time, it brings you close to the other students because you’re all going through the same thing. Even after doing a PhD at an Ivy League school, this was one of the hardest things I’ve ever done. 12 weeks will feel like 3 years, but I loved the other students that I got to work with. The course material is good as well- most of the lectures are well-polished and the instructors know the material deeply. Occasionally lectures are hard to follow because not all of the instructors are native English speakers, but the material is improved with every cohort because they collect constant (anonymous) feedback from the students. The instructors are constantly available and asking questions in class is highly encouraged due to the shrinking class sizes. The curriculum is set up well, as the first 4-5 weeks are primarily learning to code, the next 5 weeks focus on machine learning, and the last 2 are divided into data engineering tools and deep learning.
The result: The most important thing you do at NYCDSA is build a 4-project portfolio in the form of a GitHub account and blog posts describing your work and best findings. These projects cover a range of skills and demonstrate your experience to potential employers. At the end of the day, there would only one thing that would make this bootcamp worthwhile... Whenever anyone asked me if I liked the bootcamp I would respond, “I’ll let you know when I get a job.” The last several weeks of the program focus on helping you practice interviews and communicate what you already know. I don’t consider myself a confident person, but by the end of this program I felt prepared enough to appear confident to potential employers, and this led to my obtaining 2 competing job offers within 4 weeks of leaving the boot camp and still daily phone calls from recruiters (even having left NYC for a much smaller data science market). In the end, no program will be perfect, but the NYCDSA is so committed to transforming itself with every group and getting students hired I’m confident that it’s at least as good as any other program out there.
-
Kelly Ho
Data Science Bootcamp
Read more Read less of Kelly Ho's review
I really enjoyed my data science bootcamp experience at the NYC Data Science Academy. I was initially deciding between several other top bootcamps in NYC but decided to join the NYC Data Science Academy because of the comprehensive course material and programming languages (SQL, R, Python) that were taught at the bootcamp.
The structured pre-work courses that were available online for students before the bootcamp started preparing me for a solid foundation in programming, as I come from a background with minimal programming experience.
The instructors and TAs at the bootcamp are extremely helpful and instructive during the bootcamp in addition to the continuous career support after the bootcamp has ended.
I also really enjoyed the environment of the bootcamp. I was able to connect with people who also love working with data and expand my network through building relationships with current and previous students from the bootcamp.
-
Sam Mao
Worth The Investment
Read more Read less of Sam Mao's review
Prior to my full-time 12-weeks DS bootcamp with the academy, I have started taking weekend classes in Python with the academy for my personal preparation. The weekend class is extremely helpful. You spent 5 hours on Sunday and learn as much as you could during those hours. Because it is taught by using Jupyter notebook, it is really easy to follow and to relearn over the following week. The teacher over the weekend is Tony, who is a physicist and has really good understandings of machine learning theories and on the application of data science across different fields. My weekend cohort consists of recent MBA grads who are looking to lead teams that work closely with software engineers and data scientists. You also see people from the risk practice of consulting/advisory companies. You can also see people who are in the IT department making a transition to the field of Data Science. Last but not least, you'll also have people in graduate school or even college who would dedicate their Sunday afternoon to refine their skills in Python. It is an investment that will pay dividends in your career if you are determined to bring some data science to your toolbox and your workplace.
Since I have attended both the weekend class and the bootcamp, I have strong confidence in the quality of the bootcamp (faculty, cohorts, homework, material). I hope in the future the campus will have more offerings in advanced classes, and possibly classes on linear algebra or computer science in general, which are the foundations of data sci
-
Sam Z
Python Data Analysis and Visualization
Really solid course covering a lot of topics for managing data structures and visualization.