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Data Science Bootcamp

Our immersive program is the industry's only accredited, full-time data science bootcamp. For 12 weeks, you receive extensive in-person instruction and personalized support from our team of Senior Data Scientists and Data Scientist TAs. Receive ongoing career support and access to networking opportunities during and after the bootcamp, so you graduate qualified to obtain a data science position. learn more

San Francisco
September 18 to December 13
SF Fall 2017
New York City
September 18 to December 13
NYC Fall 2017
Seattle
September 18 to December 13
SEA Fall 2017
Chicago
September 18 to December 13
CHI Fall 2017
New York City
January 8 to March 30
NYC Winter 2018
Chicago
January 16 to April 6
CHI Winter 2018
Seattle
January 16 to April 6
SEA Winter 2018
San Francisco
January 16 to April 6
SF Winter 2018
New York City
April 2 to June 22
NYC Spring 2018
San Francisco
April 9 to June 29
SF Spring 2018
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Big Data Processing with Apache Spark

Use the Apache Spark framework for the purposes of such big data management and analysis, focusing on the fundamental concepts, overall architecture, various components, APIs, and language interfaces of Spark. The emphasis is on learning through practical examples and use cases in real world applications. learn more

No upcoming courses.
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Data Visualization with D3.js

This course is about data visualization and D3, the powerful JavaScript library frequently used to create data visualizations on the web. learn more

San Francisco
June 5 to July 19
No class first week of July.
M/W, 6:30pm to 9:30pm
New York City
August 15 to September 21
Tu/Th, 6:30pm to 9:30pm
Chicago
September 11 to October 18
M/W, 6:30pm to 9:30pm
New York City
September 25 to November 1
M/W, 6:30pm to 9:30pm
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ENROLL

Deep Learning with TensorFlow

Deep learning has become standard in the tech industry, achieving state-of-the-art results in computer vision, natural language processing, and artificial intelligence. TensorFlow provides the flexibility needed to implement and research cutting edge architectures while allowing users to focus on the structure of their models as opposed to mathematical minutiae. learn more

San Francisco
August 1 to September 7
Tu/Th, 6:30pm to 9:30pm
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Introduction to Data Science

In this course, students learn how data science is done in the wild, with a focus on data acquisition, cleaning, and aggregation, exploratory data analysis and visualization, feature engineering, and model creation and validation. learn more

Washington, D.C.
August 1 to September 7
Tu/Th, 6:30pm to 9:30pm
Seattle
October 3 to November 9
Tu/Th, 6:30pm to 9:30pm
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ENROLL

Machine Learning: Algorithms and Applications

This course provides an overview of the core principles of machine learning using a hands-on, project-based curriculum. There is an intense focus on implementing popular machine learning algorithms to solve real problems using real data. learn more

New York City
August 8 to September 28
No class weeks of 8/14 and 9/4.
Tu/Th, 6:30pm to 9:30pm
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ENROLL

Statistical Foundations for Data Science and Machine Learning

This course will serve as introduction to basic statistical principles that are often used by data scientists and applied statisticians. Many of the concepts will be reinforced by using the statistical programming language R, one of the two most popular languages for Data Science. learn more

New York City
May 22 to June 28
M/W, 6:30pm to 9:30pm
San Francisco
July 31 to September 13
M/W, 6:30pm to 9:30pm
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