About
About
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.
Recent NYC Data Science Academy Reviews: Rating 4.85
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Courses
Courses
12-Weeks In-Person Data Science Bootcamp
ApplyMySQL, Data Science, Git, R, Data Visualization, Hadoop, Spark, Linux, Data Analytics , SQL, Python, Machine Learning
In PersonFull Time420 Hours/week12 WeeksStart Date None scheduled Cost $17,600 Class size 50 Location New 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 - Full Tuition Total $17,600
- Climb Credit Loan $400* pm for 60 months
- SkillsFund Student Loan
$397.88 pm for 60 monthsTuition Plans We have full-financing available through SkillsFund and ClimbCredit financial loan. It is approximately 400/per month for 60 months. Refund / Guarantee NYC 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. Scholarship Limited number of scholarships available to qualified candidates. Getting in
Minimum Skill Level Ideal applicants should have a Masters or Ph.D. degree in Science, Technology, Engineering or Math or equivalent experience of quantitative science or programming. Prep Work http://blog.nycdatascience.com/faculty/data-science-bootcamp-pre-work/ Placement Test No Interview Yes
Big Data with Amazon Cloud, Hadoop/Spark and Docker
ApplyData Science, Hadoop, Spark, Data Structures, Python, Cloud Computing
In PersonPart Time5 Hours/week2 WeeksStart Date None scheduled Cost $2,990 Class size 10 Location New 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
Deposit N/A Getting in
Minimum Skill Level Students are expected to be familiar with using an operating system from the command line; knowledge of Python is helpful. Placement Test No Interview No
Data Science with Python: Data Analysis and Visualization (Weekend Course)
ApplyData Science, Data Visualization, Data Analytics , Data Structures, Algorithms, Python
In PersonPart Time4 Hours/week6 WeeksStart Date None scheduled Cost $1,590 Class size 20 Location New 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
Deposit N/A Refund / Guarantee NYC 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 Level Knowledge 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 Test No Interview No
Data Science with Python: Machine Learning (Weekend Course)
ApplyStart Date None scheduled Cost $1,990 Class size 10 Location New 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
Deposit N/A Getting in
Minimum Skill Level Completion of Data Science with Python: Data Analysis; Data Science with R: Machine Learning Placement Test No Interview No
Data Science with R: Data Analysis and Visualization (Weekend Course)
ApplyData Science, R, Data Visualization, Data Analytics , Data Structures
In PersonPart Time7 Hours/week6 WeeksStart Date None scheduled Cost $2,190 Class size 15 Location New 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
Deposit N/A Getting in
Minimum Skill Level Basic knowledge about computer components Basic knowledge about programming Prep Work None Placement Test No Interview No
Data Science with R: Machine Learning (Weekend Course)
ApplyStart Date None scheduled Cost $2,990 Class size 40 Location New 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
Deposit N/A Getting in
Minimum Skill Level Knowledge of Python programming Able to munge, analyze, and visualize data in Python Prep Work Knowledge of R programming Able to munge, analyze, and visualize data in R Placement Test No Interview No
Deep Learning with Tensorflow (Weekends and In-Person Only)
ApplyData Science, Game Development, Artificial Intelligence, Python, Machine Learning
In PersonPart Time6 Hours/week6 WeeksStart Date None scheduled Cost $2,990 Class size 15 Location New 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
Deposit N/A Getting in
Minimum Skill Level Object-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 Test No Interview No
Full-time Online Data Science Bootcamp
ApplyMySQL, Data Science, Git, R, Data Visualization, Hadoop, Spark, Linux, Data Analytics , SQL, Python, Machine Learning
OnlineFull Time28 Hours/week12 WeeksStart Date None scheduled Cost $17,600 Class size 25 Location Online 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
Deposit 5000 Financing - Full Tuition Total $17,600
- Climb Credit Loan $400* pm for 60 months
- SkillsFund Student Loan $397.88 pm for 60 months
Tuition Plans We have full-financing available through SkillsFund and ClimbCredit financial loan. It is approximately 400/per month for 60 months. Refund / Guarantee NYC 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. Scholarship Limited number of scholarships available to qualified candidates. Getting in
Minimum Skill Level Ideal applicants should have a Masters or Ph.D. degree in Science, Technology, Engineering or Math or equivalent experience of quantitative science or programming. Prep Work http://blog.nycdatascience.com/faculty/data-science-bootcamp-pre-work/ Placement Test No Interview Yes
Introductory Python (Evenings)
ApplyMySQL, Data Science, Data Visualization, Data Analytics , Data Structures, Algorithms, Python
In PersonPart Time5 Hours/week2 WeeksStart Date None scheduled Cost $1,590 Class size 40 Location New 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 / Guarantee NYC 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 Level This Introductory Python class is designed for computer-literate people with no programming background who wish to learn basic Python programming. Prep Work In 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 Test No Interview No
Part-time Online Data Science Bootcamp
ApplyData Science, R, Data Visualization, Spark, Virtualization, Data Analytics , Data Structures, Artificial Intelligence, SQL, Python, Machine Learning
OnlinePart Time28 Hours/week26 WeeksStart Date None scheduled Cost $17,600 Class size 25 Location Online 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
Deposit 17600 Financing - Full Tuition Total $17,600
- Climb Credit Loan $400* pm for 60 months
- SkillsFund Student Loan $397.88 pm for 60 months
Tuition Plans We have full-financing available through SkillsFund and ClimbCredit financial loan. It is approximately 400/per month for 60 months. Refund / Guarantee NYC 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. Scholarship Limited number of scholarships available to qualified candidates. Getting in
Minimum Skill Level Ideal applicants should have a Masters or Ph.D. degree in Science, Technology, Engineering or Math or equivalent experience of quantitative science or programming. Prep Work http://blog.nycdatascience.com/faculty/data-science-bootcamp-pre-work/ Placement Test No Interview Yes
Reviews
NYC Data Science Academy Reviews
- 5-Star Experience- 12/17/2019Xavier • Graduate • Course: 12-Weeks In-Person Data Science Bootcamp • Campus: New York City • Verified via LinkedIn
The reason I picked this Bootcamp over the other's was that after talking to the admission office they seem to be really serious about what they were teaching and the people they admit to their program. In my case, I was looking for a challenging environment where I could develop my programming skills and learn new skills in the data science world and the academy helped me achieve what I was looking for and much more.
The academy instructors are very well prepared and passionate about what they do. The only downside is that given only 12 weeks is hard to understand every single thing they are teaching, for example, one day you are learning Random Forest and the next day you are learning something different. But something that they planned really well and is really helpful is that since you are learning Machine Learning in R and Python when switching to the other language the theory remains the same only the code changed, so in a way, you are reviewing theory twice.The whole experience was incredible, the people that attended my cohort were very smart people coming from different backgrounds like finance, physics, business, engineering, to name a few and from top universities like Harvard, Oxford, Cornell and also different countries which made the whole experience much more interesting. What I enjoyed the most was that working with these different people made you look at data from very different perspectives and in result have a richer analysis of a simple dataset.
After the Bootcamp feel ready to start looking for a data science job, I was already in a quantitive field but this program has really helped me gain that confidence I needed to have a career change.
- A Great Bootcamp Experience- 12/16/2019Aaron Festinger • Graduate • Course: 12-Weeks In-Person Data Science Bootcamp • Campus: New York City • Verified via LinkedIn
NYC Data Science Academy was my first choice because of my interest in data science, and their reputation as the best data science program. They did not disappoint.
As a recently separated veteran with a master's degree in physics, I was looking for a way to renew my credentials for employment in the technology sector. A friend of mine told me about his successful full-stack engineering boot camp experience and subsequent employment, so I began doing some research. I did not know what data science was, at the time, but I read about it on Course Report, and it seemed like a perfect fit for me, so I signed up.
NYCDSA is exactly as advertised: an intensive program on data science methodology aimed at students from a wide variety of backgrounds. With my background in physics, math, and C++ and Java coding, I felt that the Python and R syntax taught at NYCDSA was not too difficult. Other students were less prepared but often did okay anyhow. The course began with Python and R syntax for handling and visualizing data, and then continued with machine learning methods in both languages as well. SQL and Docker were also covered, but rather briefly. At the end of the course, deep learning and Tensorflow were introduced, as well as Spark and Hadoop. I would have preferred that more time be dedicated to those topics, but this is a three-month boot camp, so time is limited. Nevertheless, given the allotted time, I feel that I have achieved an incredible amount, and I'm very happy with my experience. Boot camp is not cheap in either time or money, but this one was well worth both. I intend to continue building on the knowledge, experience, portfolio, and network that I have accumulated at NYCDSA as a professional data scientist.
- Absolutely worth the time and money- 12/11/2019Michael Dollar • Credit/Fraud Risk Analyst • Graduate • Verified via LinkedIn
I needed the shortest path to pivot from a research position in physics to a career in data science. I considered grad school, but I have a family, and I need to be there for my kids during their developmental years. NYC Data Science Academy offered an effective restructuring of skills over the course of three months. Not only did I learn skills in data sctructures, statistics, coding, and machine learning, but I also learned skills necessary in the job-hunting process. The support that was given to me during my time at NYCDSA was instrumental in receiving a job offer from a well-stablished company in financial services.
- NYCDSA Experience- 11/25/2019Precious Chima • Data Scientist • Campus: New York City • Verified via LinkedIn
Enrolling in the NYCDSA is easily one of the best decisions I have made, not only in my professional career but also in my life. Being of a statistics background, I knew that programming knowledge was critical when trying to utilize math to solve real-world problems. During my undergraduate years, virtually everything I did mathematically was done by hand. This was a massive constraint because although one may be capable of solving a problem correctly by hand, it is difficult to truly understand how to it is used in the real-world without any true form of automation. After a lot of research into graduate schools, bootcamps, and program offerings with a Data Science focus, I decided to go with NYCDSA based on the consensus of positive reviews I received. During my time there, I was refreshed on advanced statistics, learned a plethora of programming languages that I now feel very comfortable using to build large-scale projects, and even developed my presentation skills tremendously since every project had to be presented in front of a class that included a panel of highly-skilled Data Scientist. Consequently, this helped me feel confident throughout my entire interview process and land my dream job in Data Science. They say hindsight is 20-20, and although I couldn't have said that I was sure this was going to be the outcome coming into the program, I can say now that it was easily one of the most pivotal decisions I have ever made in my entire life.
- Excellent experience! Highly recommend!- 11/17/2019Chung-Hsuan Huang • Data Scientist • Graduate • Course: Full-time Online Data Science Bootcamp • Campus: Online • Verified via LinkedIn
I did some research on data science online (Course report and switchup) before I made a decision. I chose NYCDSA because they covered both Python and R, their instructors are knowledgeable and professional, and comprehensive curriculum. Especially I have to use both R and Python in my work, so I think knowing both languages will open more opportunities when looking for a job.
NYC Data Science Academy did a great job of helping me acquire the necessary skills in Data Science before, during, and after the bootcamp. The pre-bootcamp materials helped me get familiar with the essential R/Python coding skills and speeded up the learning curve during the bootcamp. I highly recommend whoever wants to join a bootcamp should get prepare before the bootcamp, and NYCDSA does a great job in providing necessary materials in R/Python coding.
During the bootcamp, the course work is very intensive. Although I already have coding experience and mathematical background, I still need to spend at least 12 hrs a day to study and finish homework and projects. However, the instructors and TAs are doing their best to ensure everyone can get the most out of the courses. As a remote student, I can't meet them in person, and they are still very responsive through messages or video meetings. During the bootcamp, I finished four projects to showcase my skills. One of them is solving the real business problem from the company, which is valuable when I was looking for a job. The academy also teaches you how to express your projects during the interview.
They have a robust professional network and hold a hiring event one week after each cohort. You will have the opportunity to expand your network and show your skills to various companies that are looking for data scientists or data analysts. They also dedicated to supporting you find a great job. Vivian did a fantastic job helping me with my interview processes and giving me valuable feedback.
Overall, I have a very positive experience with NYCDSA. I was suspicious if a bootcamp can make me transit into a data scientist when I looked for a data scientist bootcamp. However, I found a great job a month after I finished the bootcamp. This program is worth the hard work I put. I am glad that I made this decision a half year ago.
- Amazing experience- 10/25/2019Jason • Graduate • Course: 12-Weeks In-Person Data Science Bootcamp • Campus: New York City • Verified via LinkedIn
I graduated at the end of March(Cohort 16).
Before having the bootcamp, I have no coding or computer science related background. I thought I would fail and not able to get into the industry.
However, after I took the bootcamp, I learned a lot of coding and Data Science related skills, and this academy has changed my life.
While I was in the Bootcamp, I made a lot of friends and everyone including staff are so kind.
After graduating from the program, NYCDSA still provides the best career support and connection to help every one of us to get a job.
They really care about every one of the students, and this makes me feel like a home.
The feeling here is irreplaceable, and this is one of the important things an academy should have.
- Superb experience!- 10/24/2019Yuce Dincer • Data Scientist • Graduate • Course: 12-Weeks In-Person Data Science Bootcamp • Campus: New York City • Verified via LinkedIn
After spending 9 years in business sales, I wanted to go back to my technical roots and started looking into data science bootcamps that could help me make a career transition. I looked into all the major schools within the data science bootcamps and finally decided to join the NYC Data Science academy thanks to the reviews as well as the comprehensive curriculum.
One thing that I was very satisfied about at the bootcamp was the hands on help that I got whenever I needed it. The entire school staff wants you to succeed and achieve your goals and they do everything they can do make that happen. Can’t thank them enough for having my back in this journey.
As far as job hunting, the academy provides ample material on how to get ready for the job search process from resume reviews to interview prep to bringing employers in the school for interviews. There are always exclusive job postings on the internal website and the school has an incredible network, so it’s always been easy getting introductions to school alumni or key executives from target companies. I ended up receiving 2 offers, and joined a major tech company as a data scientist.
NYCDSA is highly recommended! It is worth the time and the money in gold!
- “12-Week Immersive Data Science Bootcamp”- 10/23/2019Oluwole Alowolodu • Data Scientist • Graduate • Course: 12-Weeks In-Person Data Science Bootcamp • Campus: New York City • Verified via LinkedIn
I joined NYC Data Science Bootcamp earlier in the year 2019 after careful comparison with other Bootcamps, they appeared to have alot more to offer, and having completed the training now, I have no regrets. Excellent curriculum, knowledgeable instructors and helpful job assistance structure.
- 12 Week Full Time Bootcamp- 10/4/2019Jimmy Jing • Graduate • Course: 12-Weeks In-Person Data Science Bootcamp • Campus: New York City • Verified via LinkedIn
This bootcamp has comprehensive materials and structures its bootcamp with a 3 hour lecture each morning followed by a 1-2 hour afternoon lab/mini lecture. The pace is extremely fast (We only spent a few hours going over Logistic Regression) and I recommend all students to put in as much work as possible outside of school to maxmize the value of the bootcamp. NYC DSA has a solid environment for learning but MOST of the learning comes from the student putting in effort. It is extremely easy to simply attend the bootcamp and leave with a very bare surface level understanding of numerous topics. I recommend going over lecture notes each night and previewing lectures (watching the full 3 hour video(maybe at 2x speed)) the night before to have a basic understanding to ask questions during class. There is probably nothing more beneficial than previewing the lecture before attending imo. The bootcamp value is exactly what you put into it.
- Priya Srivastava • Senior Cloud Data Engineer • Graduate • Course: 12-Weeks In-Person Data Science Bootcamp • Campus: New York City • Verified via LinkedIn
NYC Data Science Academy is the place where you would learn the niche skill sets required to excel as a Data Scientist or Data Engineer in a friendly environment. This is one of the best investment I have done in my career. Having said that, be ready to learn a lot in just 12 weeks of time. It is an intensive course and you learn proportional to the effort you put. Their pre-work was really helpful in transitioning into the Bootcamp. So I would suggest anyone to definitely do the pre-work before entering the Bootcamp and do the homework during the Bootcamp; they give you a good hands on exposure to what was covered during the lectures. I did four projects which were very rewarding as well. I got to talk about my hands on experience gained doing the projects in the interviews. The instructors and Vivian, the CTO of the academy were very approachable. I felt like family here. They provide a good Resume and interview prep support. I must mention I was praised on my resume during the interviews and I had a good ratio of interview calls per application. I landed my dream job in just 2 months post completion of the Bootcamp. I you are ready to learn and put effort, you will find plethora of material, guidance and support here. I have had a positive experience at NYC Data Science Academy . I learned, made friends, networked and progressed in my career.
- 12-Week Immersive Data Science Bootcamp- 8/3/2019Heather Kleypas • Growth Analyst • Graduate • Course: Full-time Online Data Science Bootcamp • Campus: Online • Verified via LinkedIn
NYCDSA was referred to me by professionals in the industry. I chose the remote bootcamp and learned a vast amount of topics including SQL, R, Python, and Hadoop & Spark. During my studies, I published 4 blog posts of project work ranging from a visual analysis of the American Music Awards to predicting housing prices. I had an assigned TA who I met with weekly to discuss my courses and homework, which was very helpful. Interview prep was also a great asset to the program. Upon graduating I received a grad package with a NY State Board of Education certificate included. I received a job offer within a month of graduating as a Growth Analyst.
- An Incredibly Rewarding Experience- 7/15/2019Sean Justice • Data Scientist • Course: 12-Weeks In-Person Data Science Bootcamp • Campus: New York City • Verified via LinkedIn
After working as a computer engineer for 11 years, I decided to pursue a career change in to data science. I looked at a number of different programs available across the country, and I ended up deciding to go with the NYC Data Science 12 week intensive program. One of the largest advantages that program had over others is that they teach both Python and R. I think that both languages have their place in data science, but the biggest benefit from learning both is that the core elements of the program were first introduced in one language and were later reinforced in the other language. I found this to be especially helpful for creating a solid foundation during the machine learning portion of the course.
The program was very demanding, but it was definitely the type of experience where you get what you put in. The instructors and the TAs were all incredibly helpful and responsive whenever I had difficulties with the projects or understanding any of the course materials.
The job assistance resources that the program provided were incredibly valuable, from special sessions that were targeted at helping us create a great resume to a hiring event with a large number of prospective companies. The outreach from the school didn’t end once the program was finished, and they were a very valuable resource while I was searching for employment in my new field.
I would say that overall the program was a great experience, and I am very happy that I decided on attending the NYC Data Science Academy.
