Become a Data Scientist

Launch your career as a data scientist through our cutting edge curriculum, real–world projects, and personalized career support
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On Campus
Immersive Bootcamp

Learn R, Python, machine learning and big data in just 12 weeks with our full job support

Short Courses

Upgrade your data science skills with these in-person targeted courses and earn a certificate

Online
Remote Bootcamp

Learn data science online at your own pace

Online Training

Master in-demand skills through industry-proven curriculum and premium learning system

Corporate Offerings

We are experts in customizing training, consulting, and project help. Let us help you boost your team’s data science skills.

Customized Training

Corporate training offerings in R, Python and Big Data, customized for your needs: from high level executive offerings to technical hands-on training in programming and implementation.

Consulting

Expert professional consulting services from data scientists and engineers, building big data solutions and solving data science problems.

Project Help

Free service offered by our advanced Bootcamp trainees to solve immediate project needs, from visualization, to drawing insights from data, to predictive modeling.

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Upcoming Courses and Events

Check your schedule for some in-person data science actions
Apr 18th, 2020
Data Science with R: Data Analysis and Visualization
Course

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.

10:00am-5:00pm
Enroll Now
Apr 18th, 2020
Data Science with R: Machine Learning
Course

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.

10:00am-5:00pm
Enroll Now
Apr 19th, 2020
Data Science with Python: Machine Learning
Course

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.

1:00-5:00pm
Enroll Now
Apr 19th, 2020
Data Science with Python: Data Analysis and Visualization
Course

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.

1:00-5:00pm
Enroll Now
Apr 20th, 2020
Introductory Python
Course

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.

7:00-9:30pm
Enroll Now
Apr 21st, 2020
Big Data with Amazon Cloud, Hadoop/Spark and Docker
Course

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.

7:00-9:30pm
Enroll Now
Apr 22nd, 2020
Online Workshop: Learn Data Analysis with Pandas | NYC Data Science Academy
Event

Join us online on April 22nd, Wednesday for a free introductory workshop to learn how to load, prepare, manipulate, and analyze data using Pandas. Pandas is a fast, powerful, flexible and easy to use open-source data analysis and manipulation tool, built on top of the Python programming language. The library's primary data structure, the data frame, replicates a data structure of the same name from R which is a straightforward way to represent tabular data. Additionally, Pandas offers options to create effective visualizations to help you point out trends in your data more easily. This workshop is perfect for both non-programmers who do not have any programming experience and are interested in learning about data science, and programmers who are looking to brush up their skills or expand their programming toolkit. We recommend participants to install the latest version of Anaconda with Python to follow along with the hands-on workshop. Here is a helpful video on how to properly set up Anaconda. This workshop will be taught by NYC Data Science Academy Instructor Alex Baransky. Sign up today to receive the link to the free online workshop → https://www.eventbrite.com/e/online-workshop-learn-data-analysis-with-pandas-nyc-data-science-academy-tickets-100004129042

7:00PM
RSVP
Jun 2nd, 2020
Introductory Python
Course

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.

7:00-9:30pm
Enroll Now
Jun 13th, 2020
Data Science with Python: Machine Learning
Course

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.

1:00-5:00pm
Enroll Now
Jun 13th, 2020
Data Science with Python: Data Analysis and Visualization
Course

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.

1:00-5:00pm
Enroll Now
Jun 14th, 2020
Data Science with R: Machine Learning
Course

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.

10:00am-5:00pm
Enroll Now
Jun 14th, 2020
Data Science with R: Data Analysis and Visualization
Course

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.

10:00am-5:00pm
Enroll Now
Jul 6th, 2020
Data Science Bootcamp: Intensive 12-Week
Course

NYC Data Science Academy. a full-time 12-week immersive program, offers the highest quality in data science training. It’s designed specifically around the skills employers are seeking, including R, Python, Machine Learning, Hadoop, Spark, github, SQL, and much more.

Monday through Friday, from 9:00am to 6:00pm
Enroll Now
Sep 5th, 2020
Data Science with R: Data Analysis and Visualization
Course

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.

10:00am-5:00pm
Enroll Now