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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 1 to June 21
Early Deadline: February 4
Final Deadline: February 25
Chicago
April 1 to June 21
Early Deadline: February 4
Final Deadline: February 25
Seattle
April 1 to June 21
Early Deadline: February 4
Final Deadline: February 25
New York City
April 1 to June 21
Early Deadline: February 4
Final Deadline: February 25
Chicago
July 1 to September 20
Early Deadline: May 6
Final Deadline: May 27
New York City
July 1 to September 20
Early Deadline: May 6
Final Deadline: May 27
San Francisco
July 1 to September 20
Early Deadline: May 6
Final Deadline: May 27
Seattle
July 1 to September 20
Early Deadline: May 6
Final Deadline: May 27
San Francisco
September 23 to December 13
Early Deadline: July 29
Final Deadline: August 19
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
Chicago
September 23 to December 13
Early Deadline: July 29
Final Deadline: August 19
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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
March 11 to April 18
Mon/Thu 6:30 - 9:30PM PST
Live Online
April 29 to May 16
Mon/Thu 6:30 - 9:30PM PST
Live Online
May 13 to June 17
Mon/Mon 6:30 - 9:30PM CST
Live Online
June 24 to August 5
Mon/Mon 6:30 - 9:30PM PST
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
April 8 to May 16
Mon/Thu 6:30 - 9:30PM CST
ENROLL