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NYC Data Science Acedemy

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NYC Data Science Academy is the premier training ground providing premium, accelerated training in data science through immersive bootcamps and courses.
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Full-time 16 weeks
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Full-time 12 weeks
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Professional Development Courses
4 - 6 weeks
  • Python and R courses at different levels
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Harness the full potential of your company's existing talent and data to deliver business insights that can maximize your bottom line.
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Our graduates have undergone a rigorous, collaborative training experience as they prepare to join leading companies as data science professionals. Join our hiring partner network and let us help you grow your team with the right talent.

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Join Our Upcoming Courses and Events

November
2020
Looking Ahead: What to Expect in the Data Science Job Market
Dec 2nd, 2020
6:00PM
REGISTER HERE TO CLAIM YOUR ZOOM LINK!! https://info.nycdatascience.com/looking-ahead-what-to-expect-in-the-data-science-job-market?utm_source=meetup&utm_medium=social&utm_campaign=looking-ahead-what-to-expect-in-the-data-science-job-market Discover how the data science job market is evolving, where demand lies, and how you can stand out in this increasingly, competitive field. About this Event The increasing popularity of data science is a reflection of how entities think about big data. As demand for new and improved technology increases in the field, the need for skilled professionals equipped in harnessing them continues to rise. Join us Wednesday, December 2, and discover the market outlook for the data science field in the coming years. Find out how and where to start building your career to become a skilled data science professional. In this talk, you will learn more about how the data science job market is evolving, where the demand for skilled professionals lies, and how you can stand out in this increasingly, competitive field. Additionally, you will hear stories of our alumni who have landed roles as data analysts, data scientists, data engineers, and more, coming from a wide range of educational and working backgrounds. This discussion will be led by Vivian Zhang, Founder and School Director of NYC Data Science Academy. About NYC Data Science Academy Since 2013, NYC Data Science Academy has been provides award-winning accelerated data science training programs and courses that prepare people for employment opportunities across all industries as data science professionals. Our data science bootcamps, full-time and part-time, have been recognized as the Best Data Science Bootcamp for 5 years in a row by Switchup.org.
Enroll Now
November
2020
Data Science with R: Machine Learning
Jan 9th, 2021
10:00am-5:00pm
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 of 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.
Enroll Now
Data Science with R: Data Analysis and Visualization
Jan 9th, 2021
10:00am-5:00pm
This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which you will learn the process of data analysis, this course focuses on the practical tools needed in data analysis and visualization. By the end of the course, you will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting your codes.
Enroll Now
Data Science with Python: Machine Learning
Jan 10th, 2021
1:00-5:00pm
This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector machines (SVMs) and tree based methods; cross-validation and feature selection; regularization; principal component analysis (PCA) and clustering algorithms. After successfully completing of 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.
Enroll Now
Data Science with Python: Data Analysis and Visualization
Jan 10th, 2021
1:00-5:00pm
This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level. It introduces how to work with different data structures in Python and covers the most popular data analytics and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn. We use Ipython notebook to demonstrate the results of codes and change codes interactively throughout the class.
Enroll Now
Introductory Python
Jan 12th, 2021
7:00-9:00pm
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.
Enroll Now
Big Data with Amazon Cloud, Hadoop/Spark and Docker
Jan 12th, 2021
7:00-9:30pm
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.
Enroll Now
November
2020
Data Science with R: Machine Learning
Feb 27th, 2021
10:00am-5:00pm
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 of 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.
Enroll Now
Data Science with R: Data Analysis and Visualization
Feb 27th, 2021
10:00am-5:00pm
This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which you will learn the process of data analysis, this course focuses on the practical tools needed in data analysis and visualization. By the end of the course, you will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting your codes.
Enroll Now
Data Science with Python: Machine Learning
Feb 28th, 2021
1:00-5:00pm
This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector machines (SVMs) and tree based methods; cross-validation and feature selection; regularization; principal component analysis (PCA) and clustering algorithms. After successfully completing of 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.
Enroll Now
Data Science with Python: Data Analysis and Visualization
Feb 28th, 2021
1:00-5:00pm
This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level. It introduces how to work with different data structures in Python and covers the most popular data analytics and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn. We use Ipython notebook to demonstrate the results of codes and change codes interactively throughout the class.
Enroll Now
November
2020
Introductory Python
Mar 2nd, 2021
7:00-9:00pm
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.
Enroll Now
Big Data with Amazon Cloud, Hadoop/Spark and Docker
Mar 23rd, 2021
7:00-9:30pm
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.
Enroll Now
View All Events
Browse All Courses
Browse All Bundles
Looking Ahead: What to Expect in the Data Science Job Market
Dec 2nd, 2020
6:00PM
REGISTER HERE TO CLAIM YOUR ZOOM LINK!! https://info.nycdatascience.com/looking-ahead-what-to-expect-in-the-data-science-job-market?utm_source=meetup&utm_medium=social&utm_campaign=looking-ahead-what-to-expect-in-the-data-science-job-market Discover how the data science job market is evolving, where demand lies, and how you can stand out in this increasingly, competitive field. About this Event The increasing popularity of data science is a reflection of how entities think about big data. As demand for new and improved technology increases in the field, the need for skilled professionals equipped in harnessing them continues to rise. Join us Wednesday, December 2, and discover the market outlook for the data science field in the coming years. Find out how and where to start building your career to become a skilled data science professional. In this talk, you will learn more about how the data science job market is evolving, where the demand for skilled professionals lies, and how you can stand out in this increasingly, competitive field. Additionally, you will hear stories of our alumni who have landed roles as data analysts, data scientists, data engineers, and more, coming from a wide range of educational and working backgrounds. This discussion will be led by Vivian Zhang, Founder and School Director of NYC Data Science Academy. About NYC Data Science Academy Since 2013, NYC Data Science Academy has been provides award-winning accelerated data science training programs and courses that prepare people for employment opportunities across all industries as data science professionals. Our data science bootcamps, full-time and part-time, have been recognized as the Best Data Science Bootcamp for 5 years in a row by Switchup.org.
Enroll Now
Data Science with R: Machine Learning
Jan 9th, 2021
10:00am-5:00pm
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 of 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.
Enroll Now
Data Science with R: Data Analysis and Visualization
Jan 9th, 2021
10:00am-5:00pm
This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which you will learn the process of data analysis, this course focuses on the practical tools needed in data analysis and visualization. By the end of the course, you will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting your codes.
Enroll Now
Data Science with Python: Machine Learning
Jan 10th, 2021
1:00-5:00pm
This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector machines (SVMs) and tree based methods; cross-validation and feature selection; regularization; principal component analysis (PCA) and clustering algorithms. After successfully completing of 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.
Enroll Now
Data Science with Python: Data Analysis and Visualization
Jan 10th, 2021
1:00-5:00pm
This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level. It introduces how to work with different data structures in Python and covers the most popular data analytics and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn. We use Ipython notebook to demonstrate the results of codes and change codes interactively throughout the class.
Enroll Now
Introductory Python
Jan 12th, 2021
7:00-9:00pm
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.
Enroll Now
Big Data with Amazon Cloud, Hadoop/Spark and Docker
Jan 12th, 2021
7:00-9:30pm
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.
Enroll Now
Data Science with R: Machine Learning
Feb 27th, 2021
10:00am-5:00pm
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 of 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.
Enroll Now
Data Science with R: Data Analysis and Visualization
Feb 27th, 2021
10:00am-5:00pm
This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which you will learn the process of data analysis, this course focuses on the practical tools needed in data analysis and visualization. By the end of the course, you will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting your codes.
Enroll Now
Data Science with Python: Machine Learning
Feb 28th, 2021
1:00-5:00pm
This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector machines (SVMs) and tree based methods; cross-validation and feature selection; regularization; principal component analysis (PCA) and clustering algorithms. After successfully completing of 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.
Enroll Now
Data Science with Python: Data Analysis and Visualization
Feb 28th, 2021
1:00-5:00pm
This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level. It introduces how to work with different data structures in Python and covers the most popular data analytics and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn. We use Ipython notebook to demonstrate the results of codes and change codes interactively throughout the class.
Enroll Now
Introductory Python
Mar 2nd, 2021
7:00-9:00pm
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.
Enroll Now
Big Data with Amazon Cloud, Hadoop/Spark and Docker
Mar 23rd, 2021
7:00-9:30pm
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.
Enroll Now
November
2020
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