Learn data science by tackling real industry problems.
Learn faster through hands-on, project-based courses. Our structured curriculum maximizes the time you spend building solutions, extracting insights from data, and practicing skills that matter.
Diversity is an asset here: scientists, engineers, and data analysts learn together. With expert instructors, TAs, and classmates, there’s always someone to get you unstuck.
We’re the center of an engaged network of Data Scientists, who work with us as hiring partners, mentors, and guest speakers. We match graduates with top technology companies at our Hiring Day.
Courses at Zipfian Academy
Data Science // 12-Week Immersive
Full-time immersive data science training with structured curriculum taught by expert instructors. Build a portfolio of data science projects and interview with tech companies through our placement program.
Level: Intermediate. Programming experience required.
Winter 2015 Schedule: January 5th - March 27th // Full-time
Apply Now for the Winter 2015 program. Learn More →
Data Fellows // 6-Week Fellowship
Fine-tune your data science skills. Full-time program with no fees, reserved for exceptional candidates with existing data science experience. Walk in to interviews with top tech companies at the end of the program.
Schedule: October 20th - December 5th // Full-time
Apply Now for the Fall 2014 Fellowship. Learn More →
Data Engineering // 12-Week Immersive
Learn how to build robust, scalable data pipelines. Full-time intensive program, focusing on distributed systems and Big Data. Interview with top technology companies through our placement program.
Schedule: January 8th - March 27, 2015 // Full-time
Apply for the Winter 2015 program. Learn More →
Practical Deep Learning and Its Applications // Weekend Workshop
Learn how to apply deep learning to common problems faced in industry. Work hands-on with huge data sets alongside professional instructors to approach face recognition, OCR, and sentiment analysis.
Level: Intermediate. Designed for Java programmers with machine learning exposure.
Schedule: September 13 - 14th, 2014 // 2 Full Days