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

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Remote Bootcamp

Learn data science online at your own pace or through our live daily lectures.

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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Tue, April 2, 2019
Data Scientist & Employer Networking Event
6:00 PM - 8:00 PM
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Student Success

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Upcoming Courses and Events

Check your schedule for some in-person data science actions
Mar 6th, 2019
Deep Learning Illustrated: A Course Demo
Event

The talk will serve as an overview of Jon Krohn's upcoming Deep Learning course (http://nycdatascience.com/courses/deep-learning/) at the NYC Data Science Academy, running from March 16 to April 13. Deep Learning algorithms have become unprecedentedly transformative across industry verticals and are now the state of the art across applications as diverse as image classification, natural language processing, generation of content, and game-playing. Almost unknown a few years ago, Deep Learning today powers countless everyday services from Tesla's Autopilot to Amazon Alexa’s voice recognition, and from Google Translate to superhuman ability at elaborate boardgames. Via analogy to biological neurons and the human brain, this talk is a highly visual introduction to Deep Learning. It features interactive demos and example code from the leading open-source Deep Learning library, TensorFlow, and its high-level API, Keras. Agenda:6:00 - 6:30 pm - Food, Drinks and Mingling6:30 - 6:40 pm - Zach McCormick, a student on the previous Deep Learning class cohort, will present on his capstone project and his experience taking the course6:40 - 7:30 pm - Course Demo by Jon Krohn7:30 - 8:00 pm - Q&A and Mingling Speaker: Jon Krohn (https://www.jonkrohn.com) is Chief Data Scientist at the machine-learning startup untapt. He holds a doctorate in neuroscience from Oxford University and has been publishing on machine learning in leading academic journals since 2010. Jon lectures at Columbia University and via a series of acclaimed tutorials available in Safari Books (https://learning.oreilly.com/videos/deep-learning-with/9780134770826). His book, Deep Learning Illustrated, is being published on Pearson's Addison-Wesley imprint in 2019 (https://www.deeplearningillustrated.com). About NYC Data Science Academy: Founded in 2014, the NYC Data Science Academy offers the highest quality in data science and data engineering training. Their top-rated and comprehensive curriculum has been developed by industry pioneers using experience from consulting, corporate and individual training and is approved and licensed by the NYS Department of Education. The NYC Data Science Academy offers a variety of services including full-time bootcamps, part-time courses, corporate training, consulting, and career services.For more information, visit nycdatascience.com

7:00PM
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Mar 10th, 2019
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
Mar 10th, 2019
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
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Mar 11th, 2019
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
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Mar 16th, 2019
Deep Learning (with TensorFlow)
Course

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.

11:00am-5:00pm
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Apr 1st, 2019
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.

9:00am-5:00pm
Enroll Now
Apr 2nd, 2019
Data Scientist & Employer Networking Event
Event

Join Our Data Scientist & Employer Networking Event

6:00 PM - 8:00 PM
RSVP
Apr 20th, 2019
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 21st, 2019
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 22nd, 2019
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 23rd, 2019
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 29th, 2019
Data Science with Tableau
Course

This course offers an accelerated intensive learning experience with Tableau - the growing standard in business intelligence for data visualization and dashboard creation. Without prior experience, students will learn to work with multiple data sources, create compelling visualizations, and roll out their data science products for continuous, scalable outputs to key stakeholders. By building insight and weaving narrative, students will be empowered to harness data in a striking way that provides value to organizations large and small.

7:00-9:30pm
Enroll Now
Jun 2nd, 2019
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 3rd, 2019
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.

9:00am-5:00pm
Enroll Now
Jun 3rd, 2019
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 8th, 2019
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 9th, 2019
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
Jul 1st, 2019
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.

9:00am-5:00pm
Enroll Now