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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

Early Deadline
Final Deadline
San Francisco
April 9 to June 29
Early Deadline: February 12
Final Deadline: March 5
Seattle
April 9 to June 29
Early Deadline: February 12
Final Deadline: March 5
New York City
April 9 to June 29
Early Deadline: February 12
Final Deadline: March 5
Chicago
April 9 to June 29
Early Deadline: February 12
Final Deadline: March 5
San Francisco
July 2 to September 21
Early Deadline: May 8
Final Deadline: May 29
New York City
July 2 to September 21
Early Deadline: May 8
Final Deadline: May 29
Seattle
July 2 to September 21
Early Deadline: May 8
Final Deadline: May 29
Chicago
July 2 to September 21
Early Deadline: May 8
Final Deadline: May 29
Chicago
September 24 to December 14
Early Deadline: July 30
Final Deadline: August 20
San Francisco
September 24 to December 14
Early Deadline: July 30
Final Deadline: August 20
New York City
September 24 to December 14
Early Deadline: July 30
Final Deadline: August 20
Seattle
September 24 to December 14
Early Deadline: July 30
Final Deadline: August 20
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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

New York City
February 26 — Free Sample Class
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6:30 - 7:30pm
New York City
March 5 to April 11
Mon/Wed 6:30 - 9:30pm
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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

No upcoming courses.
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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

Live Online
March 19 to April 26
Mon/Thu 6:30 - 9:30pm Central Time
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Machine Learning & Artificial Intelligence Principles

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

Live Online
February 27 to March 29
Tue/Thu 6:30 - 9:30pm Eastern Time
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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

No upcoming courses.
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