Demystifying Data Science Free Online Conference is July 30-31! Register Now

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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
New York City
September 23 to December 13
Early Deadline: July 29
Final Deadline: August 19
Seattle
September 23 to December 13
Early Deadline: July 29
Final Deadline: August 19
San Francisco
September 23 to December 13
Early Deadline: July 29
Final Deadline: August 19
Chicago
September 23 to December 13
Early Deadline: July 29
Final Deadline: August 19
New York City
January 6 to March 27
Early Deadline: November 11
Final Deadline: December 2
Chicago
January 6 to March 27
Early Deadline: November 11
Final Deadline: December 2
Seattle
January 6 to March 27
Early Deadline: November 11
Final Deadline: December 2
San Francisco
January 6 to March 27
Early Deadline: November 11
Final Deadline: December 2
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ENROLL

Beginner Python and Math for Data Science

Learn the Python programming and mathematical principles essential as a first step toward developing data science skills or a new career in the field. learn more

Live Online
July 22 to August 29
Mondays and Thursdays 6:30 - 9:30PM EST
Live Online
August 13 to October 29
Tuesdays 6:30 - 9:30PM PST
Live Online
September 23 to October 31
Mondays and Thursdays 6:30 - 9:30PM CST
ENROLL
ENROLL

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
September 9 to October 17
Mondays and Thursdays 6:30 - 9:30PM PST
ENROLL