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NYC Data Science Academy

New York City, Online

NYC Data Science Academy

Avg Rating:4.85 ( 307 reviews )

NYC Data Science Academy offers 12-week data science bootcamps in New York City. In these programs, students learn beginner and intermediate levels of Data Science with R, Python, Hadoop, Spark, Github, and SQL as well as popular and useful R and Python packages like XgBoost, Caret, dplyr, ggplot2, Pandas, scikit-learn, and more. Once the learning foundation has been set, students work on multiple projects through the bootcamp. The program distinguishes itself by balancing intensive lectures with real world project work, and by the breadth of its curriculum. Throughout the program students work alone and in teams to create at least four projects that are showcased to employers through multiple channels; private on-campus hiring partner events, student blogs, meetups, and filmed presentations. 

Ideal applicants should have a Masters or PhD degree in Science, Technology, Engineering or Math or equivalent experience in quantitative science or programming. Candidates with BA’s who have appropriate experience are also considered.

Throughout the data bootcamp, students are assisted in preparing for the employment process through resume review and interview preparation. NYC Data Science Academy works closely with hiring partners and recruiting firms to create a pipeline of interest for its students.

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  • 12-Weeks In-Person Data Science Bootcamp

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    Start Date None scheduled
    Cost$17,600
    Class size50
    LocationNew York City
    In this program students will learn the modern data analytic techniques and master the requisite skills, such as Python and R programming languages as well as Hadoop, to address real-world data science problems. Throughout the program, students work alone and in teams to create at least five projects that are showcased to employers. Along the way, students will have assistance in preparing for the job search through resume review, interview preparation, and opportunities to interview with our hiring partners. Successful completion of the curriculum will present a certification of graduation certified by the New York State Board of Education.
    Financing
    Deposit$5,000
    Financing
    $397.88 pm for 60 months
    Tuition PlansWe have full-financing available through SkillsFund and ClimbCredit financial loan. It is approximately 400/per month for 60 months.
    Refund / GuaranteeNYC Data Science Academy’s refund policy adheres to both ACCET and NYS Education Department guidelines. Visit https://nycdatascience.com/refund-and-regulations/ for more details.
    ScholarshipLimited number of scholarships available to qualified candidates.
    Getting in
    Minimum Skill LevelIdeal applicants should have a Masters or Ph.D. degree in Science, Technology, Engineering or Math or equivalent experience of quantitative science or programming.
    Prep Workhttp://blog.nycdatascience.com/faculty/data-science-bootcamp-pre-work/
    Placement TestNo
    InterviewYes
  • Big Data with Amazon Cloud, Hadoop/Spark and Docker

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    Data Science, Hadoop, Spark, Data Structures, Python, Cloud Computing
    In PersonPart Time5 Hours/week2 Weeks
    Start Date None scheduled
    Cost$2,990
    Class size10
    LocationNew York City
    This is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python. The course will begin with a review of Python concepts needed for our examples. The course format is interactive. Students will need to bring laptops to class. We will do our work on AWS (Amazon Web Services); instructions will be provided ahead of time on how to connect to AWS and obtain an account.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelStudents are expected to be familiar with using an operating system from the command line; knowledge of Python is helpful.
    Placement TestNo
    InterviewNo
  • Data Science with Python: Data Analysis and Visualization (Weekend Course)

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    Start Date None scheduled
    Cost$1,590
    Class size20
    LocationNew York City, Online
    This five week course is an introduction to data analysis with the Python programming language, and is aimed at beginners. We introduce how to work with different data structure in Python. We covered the most popular modules, including Numpy, Scipy, Pandas, matplotlib, and Seaborn, to do data analytics and visualization. We use ipython notebook to demonstrate the results of codes and change codes interactively during the class. Our past students include people with no programming experience or those who have minimal exposure to Python. Students told us our classes are very informative, engaging, and hands-on.
    Financing
    DepositN/A
    Refund / GuaranteeNYC Data Science Academy’s refund policy adheres to both ACCET and NYS Education Department guidelines. Visit https://nycdatascience.com/refund-and-regulations/ for more details.
    Getting in
    Minimum Skill LevelKnowledge of basic data types (e.g. string, numeric), data structures (e.g. list, tuple, dictionary) Familiarity with concepts of list comprehension and for/while loop
    Placement TestNo
    InterviewNo
  • Data Science with Python: Machine Learning (Weekend Course)

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    Data Science, R, Artificial Intelligence, Machine Learning
    In PersonPart Time7 Hours/week5 Weeks
    Start Date None scheduled
    Cost$1,990
    Class size10
    LocationNew York City, Online
    This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. This includes linear regression, Naïve Bayes classifiers, logistic regression, linear discriminant analysis, cross-validation, bootstrapping, feature selection, regularization, model selection, SVM, decision trees, random forest, PCA, K-Means, and Hierarchical clustering. In addition, this course teaches the basics of natural language processing. After successfully completing this course, you will be able to explain the principles of machine learning algorithms and implement these methods to analyze complex datasets and make predictions in Python.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelCompletion of Data Science with Python: Data Analysis; Data Science with R: Machine Learning
    Placement TestNo
    InterviewNo
  • Data Science with R: Data Analysis and Visualization (Weekend Course)

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    Data Science, R, Data Visualization, Data Analytics , Data Structures
    In PersonPart Time7 Hours/week6 Weeks
    Start Date None scheduled
    Cost$2,190
    Class size15
    LocationNew York City, Online
    This course is designed to provide a comprehensive introduction to R. Students will practice programming and analyzing data with R. Students will learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models to data. In addition to a theoretical framework in which to understand the process of data analysis, this course focuses on the practical tools needed in data analysis. This course also covers the creation of dynamic reports with the knitr package in R as well as the creation of dynamic dashboards with R Shiny. By the end of the course, students will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting the code.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelBasic knowledge about computer components Basic knowledge about programming
    Prep WorkNone
    Placement TestNo
    InterviewNo
  • Data Science with R: Machine Learning (Weekend Course)

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    Data Science, R, Machine Learning
    In PersonPart Time7 Hours/week6 Weeks
    Start Date None scheduled
    Cost$2,990
    Class size40
    LocationNew York City, Online
    This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R. It will introduce you to data mining, performance measures and dimension reduction, regression models, both linear and generalized, KNN and Naïve Bayes models, tree models, and SVMs as well as the Association Rule for analysis. After successfully completing this course, you will be able to break down the mathematics behind major machine learning algorithms, explain the principles of machine learning algorithms, and implement these methods to solve real-world problems. Unit 1: Foundations of Statistics and Simple Linear Regression Unit 2: Multiple Linear Regression and Generalized Linear Model Unit 3: kNN and Naive Bayes, the Curse of Dimensionality Unit 4: Tree Models and SVMs Unit 5: Cluster Analysis and Neural Networks Final Project After 35 hours of structured lectures, students are encouraged to work on an exploratory data analysis project based on their own interests. A project presentation demo will be arranged.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelKnowledge of Python programming Able to munge, analyze, and visualize data in Python
    Prep WorkKnowledge of R programming Able to munge, analyze, and visualize data in R
    Placement TestNo
    InterviewNo
  • Deep Learning with Tensorflow (Weekends and In-Person Only)

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    Start Date None scheduled
    Cost$2,990
    Class size15
    LocationNew York City
    Via analogy to biological neurons and human perception, this course is an introduction to artificial neural networks that brings high-level theory to life with interactive labs featuring TensorFlow, the most popular open-source Deep Learning library. Essential theory will be covered in a manner that provides students with an intuitive understanding of Deep Learning’s underlying foundations. Paired with hands-on code run-throughs in Jupyter notebooks as well as strategies for overcoming common pitfalls, this foundational knowledge will empower individuals with no previous understanding of neural networks to build production-ready Deep Learning applications across the major contemporary families: Convolutional Nets for machine vision; Long Short-Term Memory Recurrent Nets for natural language processing and time series analysis; Generative Adversarial Networks for producing realistic images; and Reinforcement Learning for playing video games.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelObject-oriented programming, ideally Python (introductory course: https://nycdatascience.com/courses/introductory-python/) Simple shell commands, e.g., in Bash (tutorial of the fundamentals: https://learnpythonthehardway.org/book/appendixa.html)
    Placement TestNo
    InterviewNo
  • Full-time Online Data Science Bootcamp

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    Start Date None scheduled
    Cost$17,600
    Class size25
    LocationOnline
    This program was designed for students that have the time to be a full-time student, but can't commute to our school. Students will be placed on a rigorous curriculum that spans from 9:30 AM to 6:00 PM EST as well as have access to prerecorded modules with over 1000 coding challenge questions on online learning platform for additional practice. In addition, they have access to dedicated TA’s as well as the larger network of a shared slack channel between both in-person and remote bootcamp students. Classes: You will learn streamed lectures as well as have access to prerecorded modules and coding questions for additional practice. Personalized Job Support: Students also have access to the full resources of NYC Data Science Academy to help them find their dream job upon graduation. Our curriculum covers the expanse of all the skills required in the data science industry. We cover both R and Python as well as Machine Learning Theory, Big Data, and Deep Learning.
    Financing
    Deposit5000
    Financing
    • Full Tuition Total $17,600
    • Climb Credit Loan $400* pm for 60 months
    • SkillsFund Student Loan $397.88 pm for 60 months

    Tuition PlansWe have full-financing available through SkillsFund and ClimbCredit financial loan. It is approximately 400/per month for 60 months.
    Refund / GuaranteeNYC Data Science Academy’s refund policy adheres to both ACCET and NYS Education Department guidelines. Visit https://nycdatascience.com/refund-and-regulations/ for more details.
    ScholarshipLimited number of scholarships available to qualified candidates.
    Getting in
    Minimum Skill LevelIdeal applicants should have a Masters or Ph.D. degree in Science, Technology, Engineering or Math or equivalent experience of quantitative science or programming.
    Prep Workhttp://blog.nycdatascience.com/faculty/data-science-bootcamp-pre-work/
    Placement TestNo
    InterviewYes
  • Introductory Python (Evenings)

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    Start Date None scheduled
    Cost$1,590
    Class size40
    LocationNew York City
    This is a class for computer-literate people with no programming background who wish to learn basic Python programming. The course is aimed at those who want to learn “data wrangling” – manipulating downloaded files to make them amenable to analysis. We concentrate on language basics such as list and string manipulation, control structures, simple data analysis packages, and introduce modules for downloading data from the web. This Introductory Python class runs over four weeks, with five hours of class per week (split into 2 ½ hour evening classes). Classes will be given in a lab setting, with student exercises mixed with lectures. Students should bring a laptop to class. There will be a modest amount of homework after each class.
    Financing
    Deposit$1590
    Refund / GuaranteeNYC Data Science Academy’s refund policy adheres to both ACCET and NYS Education Department guidelines. Visit https://nycdatascience.com/refund-and-regulations/ for more details.
    Getting in
    Minimum Skill LevelThis Introductory Python class is designed for computer-literate people with no programming background who wish to learn basic Python programming.
    Prep WorkIn the class, we will use Python 3. If you are following this video to set up Python environment, please make sure you download the Python 3.X version starting from 1 min 23 s in the video. Link: https://vimeo.com/160172414
    Placement TestNo
    InterviewNo
  • Part-time Online Data Science Bootcamp

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    Start Date None scheduled
    Cost$17,600
    Class size25
    LocationOnline
    This is an online part-time self-paced program. Students have 4 - 10 months to complete this program. The curriculum is the same as our on-campus program, with full-financing options, career support and with a one on one support from our mentors. This program is designed for students that work full-time and are not able to quit their jobs. Our curriculum is drawn from data science engagement with corporate consulting and training, hiring partners and active industry participation. Our remote bootcamp ensures that students achieve a very high level of proficiency. Students are expected to dedicate themselves fully to this program and fulfill all the requirements, which include completing lecture videos, daily homework, and four projects. The Remote Bootcamp is built as a collaborative environment utilizing online chat and meeting systems. Students also have the opportunity to collaborate on homework, projects, job applications, interview preparation, paired programming, and even further through our extended alumni community. We work closely with hiring partners and recruiting firms to create a pipeline of interests for students. Each student receives one-on-one support with job searching and access to all kinds of job assistance resources, including coding reviews, interview prep, resume workshop, and access to our exclusive hiring partner network.
    Financing
    Deposit17600
    Financing
    • Full Tuition Total $17,600
    • Climb Credit Loan $400* pm for 60 months
    • SkillsFund Student Loan $397.88 pm for 60 months

    Tuition PlansWe have full-financing available through SkillsFund and ClimbCredit financial loan. It is approximately 400/per month for 60 months.
    Refund / GuaranteeNYC Data Science Academy’s refund policy adheres to both ACCET and NYS Education Department guidelines. Visit https://nycdatascience.com/refund-and-regulations/ for more details.
    ScholarshipLimited number of scholarships available to qualified candidates.
    Getting in
    Minimum Skill LevelIdeal applicants should have a Masters or Ph.D. degree in Science, Technology, Engineering or Math or equivalent experience of quantitative science or programming.
    Prep Workhttp://blog.nycdatascience.com/faculty/data-science-bootcamp-pre-work/
    Placement TestNo
    InterviewYes

Shared Review

  • Austin Cheng  User Photo
    Austin Cheng • Student • Verified via LinkedIn
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     I picked NYCDSA because it offered the most comprehensive curriculum. Surely, the amount of content introduced was overwhelming especially in the second half of the bootcamp but with unwavering dedication and commitment, which was pretty ubiquitous and contagious in the bootcamp, the workload was just about manageable. I would describe myself as having a relatively strong quantitative background as I have a PhD in physics (though my knowledge of statistics and coding in general is abysmal), the coursework was still challenging. I would also confidently say that the coursework is taught in a way to be conceptually accessible by all. The bootcamp teaches two popular languages (Python and R, some SQL) as well as the core concepts of machine learning. The machine learning topics are taught with a good mix of qualitative and quantitative reasoning. The students are required to do four intense projects along with many exams and homework. Overall, the bootcamp sets up the students well for future success-- it gives us the foundation necessary to continue to grow as data scientists. The job support is unexpectedly great. The bootcamp works with us personally to become competitive candidates for the job market and also actively makes work connections for us. The instructors are beyond amazing as they rise above expectations always. They make you feel that they are truly responsible for your understanding of the topics and they are very open to feedback (in fact, they actively look for it). In hindsight, as a more experienced data scientist and knowing that there is only 12 weeks, I wish that we had focused purely on Python and SQL, and spent more time on coding challenges, algorithms, case studies, AB testing and big data techniques. There were duplicate content taught as we switched between Python and R though for some this may be good because repetition of topics with a different spin can help with better understanding and retention. And despite saying I wish we focused purely on Python, working with R and having the knowledge to use R Shiny was what ultimately made me more attractive as a candidate since I was able to showcase my work as an app. All this back and forth rambling probably just means that 12 weeks is very short and given that the field of data science is growing so quickly, it's really hard to gauge what exactly and what amount to master. Given this situation, if I turned back time and had to decide all over again where to invest my 12 weeks of time, I would without any doubt pick NYCDSA. With their expertise, receptiveness, hustle and attitude of wanting to do what's best for us, I truly believe that any student there will be in good hands. 
  • good school
    - 10/10/2020
    Baptiste  User Photo
    Baptiste • Student • Verified via LinkedIn
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    A good school, open, with high level professors. Courses are introductive, but if you have deeper questions, there is no problem, the staff is there for you, which is great and adaptive for everyone. The job assistance is very effective, and they help you to be your best!
  • Catherine Tang Kim Sin  User Photo
    Catherine Tang Kim Sin • Data Science Intern • Graduate • Verified via LinkedIn
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     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 worth the handful of sleepless nights. 
  • Swarup Malli  User Photo
    Swarup Malli • Graduate • Verified via LinkedIn
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    I'm a software engineer with work experience in Business Intelligence. I always felt data science was a logical extension of business intelligence. I had been planning to transition into the data science space by joining an immersive data science Bootcamp. I picked NYCDataSceince Academy after researching on various boot camps near my area.

    My experience has been a positive one. I was able to learn a lot of data science-related subjects in a short span of 3 months.
    Thanks to the instructors, who were always there for the students. They really cared about the students and are well versed in the subjects they teach. The career services are very efficient, leveraging a large community of alumni.
    I would recommend this Bootcamp to professionals who are looking to break into the field of data science. 
  • Simon Yates  User Photo
    Simon Yates • Graduate • Verified via LinkedIn
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    I attended the 12-week Data Science Bootcamp in May 2020 and gained a great deal from the experience.  I came in with a background in mathematics, but with limited experience programming in Python.  By the end of the bootcamp I was very comfortable using Python to work with data and run machine-learning analyses such as Random Forests and Gradient Boosting.

    What I thought was exceptional about the course was the quality of the instructors.  These ranged from mathematicians with a distinguished track record in academia, to hands-on software engineers with experience working with complex systems.  In all cases the instructors were encouraging and generous with their time.

    The bootcamp has an extensive pre-work section and I'd advise any attendees to complete this thoroughly.  12 weeks is a short time to cover the amount of material that's on the curriculum, so building basic coding skills before the start will be very beneficial.

    All-in-all I felt the bootcamp delivered exactly the skills that I was looking to build.  I'd recommend it highly to anybody who wants a serious foundation in the subject.
  • Elina Egiazarova  User Photo
    Elina Egiazarova • Graduate • Verified via LinkedIn
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    I attended the 12-week Data Science Bootcamp at NYC Data Science Academy and it was a fantastic experience. It was meant to be in-person but the classes were moved online due to pandemic. The transition was seamless even though we were the first on-site cohort to become fully online. 
     
    I can't recommend this program highly enough to anyone interested in a career in data science and machine learning. You will learn a lot in a very short amount of time so be prepared for an intensive experience but you'll enjoy every minute of it. The instructors have strong backgrounds in applied mathematics, computer science, statistics and machine learning - as well as industry experience - and it's extraordinary how much time and energy they put in to make sure that students understand what being a good data scientist means.  You'll do homework, quizzes, exams, projects (individual and in groups), it's a lot of work but you will never feel stuck as they have excellent TAs who are always there to help.  
     
    You will learn Python, R, SQL, different machine learning algorithms as well as how to work with data. But that's not all: what I particularly liked was how strongly they emphasised the importance of presentation skills and the ability to tell a story behind your numbers. 
     
    Their devotion to making sure that they prepare you well for a career in data science is quite remarkable. Their career services are outstanding - you will have regular meetings to discuss your resume, prepare for interviews, network with alumni. 
     
    My background is in applied mathematics and quantitative finance but the curriculum is so intensive that I had to work 12 hours a day to meet all the deadlines. But - and that's what makes NYCDSA truly first-class - it will never feel like hard work because you will be surrounded by people who are not just very good at what they do: they are passionate about data science and their enthusiasm will inevitably translate into you enjoying it, too. 
     
    So if you are interested in a career in data science - NYCDSA is an excellent place to start. But even if you are considering data science but not sure whether you'll like it or not - try to get into NYC Data Science Academy: not only will you learn a lot but you'll actually love data science and will want to make it your life's work. 

  • Robert K.N. Atuahene  User Photo
    Robert K.N. Atuahene • Data Scientist • Graduate • Verified via LinkedIn
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    Without question, this is an outstanding Bootcamp for those looking to break into the field of data science. The curriculum is structured to help students master the essential vocabulary in Python (and R) needed to gather, clean, analyze and visualize fairly large data sets(up to a few million records of data) as well as master the theory behind the traditional machine learning algorithms used in supervised and unsupervised learning - ie. penalized MLR, SVM, DA, LR, DT, RF, Gradient boosting algos, clustering and PCA along with hands-on homework, quizzes, exams and project work to consolidate theory with practice. And all this is crammed into 12 weeks so prepare for an intensive ride. But as others have mentioned you will get as much out of it as you put in and this includes utilizing the wealth of resources available to you via the instructors and your cohort.
    In addition to the coursework, the Bootcamp prepares students for the job market by emphasizing presentation skills and the importance of using data to tell a relevant story or solve a business problem. The founder of the program is personally involved in the resume and interview preparation as well as many aspects of the job hunt process.
    I enrolled in the 12weeks in-person Bootcamp but due to Covid-19, all classes were made virtual. I commend the Academy for making this transition seamless without a reduction in the academic experience.
    I certainly recommend this Bootcamp to beginner/intermediary level data science professionals or those looking to make a complete switch. For more advanced students, the Academy offers advanced courses in deep learning and working with much larger data sets that are unfortunately separate from the Bootcamp(at an additional cost of course!)
  • Arliss Coates  User Photo
    Arliss Coates • Graduate Verified via GitHub
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    The NYCDSA is about as rigorous an education as it's possible to pack into 3 months. I was a total beginner in coding, computer science, math, and statistics, so I found the experience very challenging, but very rewarding. Data science is not something to get into idly, but if you're committed, you should be able to make it through. It helps to know someone outside the camp who can assist with the coursework, even though their group of instructors and TAs is top notch. You're going to encounter a pretty brilliant group of people.
  • A great bootcamp!
    - 7/14/2020
    William Ponsonby  User Photo
    William Ponsonby • Business Analyst • Graduate • Verified via LinkedIn
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    NYCDSA is a fantastic bootcamp. I picked them on the recommendation of a former student and it didn't disappoint! It was a seriously tough 3 months, I had never coded before I started the course pre-work having just finished a humanties degree and they pack a huge amount in. With their syllabus the course should really be much longer than 3 months, so you'll need to spend time on the pre-work and also consolidating post-bootcamp, but they give you a solid base to work off and plenty of material to work through even after you've left.

    You get out what you put in to this course. I was often pretty exhausted and increasingly had no weekends! It was no picnic but definitely worth it as I now have a job at a consultancy specialising in data. 

    I think the best aspects of the course were that you could ask anyone for help, both students and teachers, plus the nature of the project work where you were also judged on your presentational skills. 
  • Sammy Dolgin  User Photo
    Sammy Dolgin • Graduate • Verified via LinkedIn
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    Very fast-paced, intense experience that gave a vigorous run-through of the Computer Science, Mathematical, Statistical, and Business-oriented skills necessary to break into Data Science. You won't graduate an expert, but you'll at have at least a baseline understanding of countless tools that you can continue to develop your understanding of upon graduation. The staff is VERY dedicated to student success and will go out of their way to ensure your understanding, and even more so if you approach them first. They do a good job building a strong sense of community among the students and faculty. If you're eyeing a career change or a way of breaking into the field, I'd highly recommend NYCDSA.
  • Kailun Cheng  User Photo
    Kailun Cheng • Graduate • Verified via LinkedIn
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     I have a biomedical engineering background, and I enjoy solving complex problems using quantitative methods.  I had decided to venture into the field of data science and machine learning because I realized that there are many processes that are insufficiently modeled in a deterministic way.  When I graduated with a Master's degree in Data Science, I had acquired many tools and methods in disciplines such as computer science and applied math; however, I was lacking some experience actually "doing" data science, especially in working with real-life data.  NYCDSA gave me the opportunity to obtain hands-on experience in the model building process.  I also had a great time collaborating with other fellows, instructors, and mentors on challenging projects, which further expanded my skill set in proper data collection, data retrieval, and data visualization.  Overall, NYCDSA fosters an enriching and inclusive environment for students of all different backgrounds to gain valuable experience that's needed for a data-driven career. 

    Regarding the job prospects post Bootcamp, I find it challenging in finding a suitable position in this ever-changing career field coupled with the tough economic situation.  However, I do think that NYCDSA is a great guide in pointing me in the right direction by providing the appropriate resources.   After graduation, a couple of recruiters reached out to me, and I was able to pass rounds of interviews with the knowledge I gathered from the projects I did in the boot camp. Ultimately, I'm able to receive a full-time data scientist position offer about three months post-graduation.  
  • Jae Ko  User Photo
    Jae Ko • Student • Verified via LinkedIn
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    I recently graduated from NYC Data Science Academy in March of 2020. Before I began my cohort, my background was in finance and was a novice in the data science/coding world. Though challenging and difficult at times the staff, instructors, and the TA's really helped me to push myself and assisted me to complete the program. 

    The curriculum not only covers coding and data science but the individual & group projects, presentations, and the helpful feedback is very advantageous in the real world. Also, I really appreciated how NYCDCA went what of their way in little things that can make a big difference such as: head shots, resume reviews, interview preps, strategy in job hunting etc...They did an excellent job of covering all topics and encompassing everything that comes with either career change or building up your current career. 

    From my experience, I only have positive things to say about the staff, instructors, curriculum, job support, and the community at NYC Data Science Academy and highly recommend NYCDSA to anyone who is interested in data science. 
  • Michael Link  User Photo
    Michael Link • Graduate • Verified via LinkedIn
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    This bootcamp helped me go from code illiterate to code proficient. The curriculum at NYCDSA is amazing. Trying to become an expert at anything in 3-months is nearly impossible, but NYCDSA does a pretty dang good job of presenting all salient data science topics and pairing these with four major projects that help to solidify your understanding. I was incredibly pleased with the quality of instruction and the expertise of the teachers. It felt like the instructors truly cared about my development and reception of the material. The career services team has been very very helpful. Like many things, you get out what you put in. I highly recommend this bootcamp, but if you do decide to attend make sure to complete the prework, devote 100% of your time to it (i.e. don't work at the same time), and put your all into each project. The four major projects (R Shiny, Python Web Scraping, Machine Learning, and Capstone) are important in how you market yourself post-bootcamp and were fundamental in giving me the confidence to say that "I am on my way towards becoming a great data scientist". Listening to lectures and understanding concepts can only take you so far, so make sure to befriend stack overflow, your instructors, and your keyboard as much as possible. Best of luck in your studies!

Thanks!