StanfordOnline: Mining Massive Datasets
The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course.
7 weeks
5–10 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available
There is one session available:
15,024 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Nov 25
Mining Massive Datasets
At a glance
- Institution: StanfordOnline
- Subject: Computer Science
- Level: Advanced
- Prerequisites:
The course is intended for graduate students and advanced undergraduates in Computer Science. At a minimum, you should have had courses in Data structures, Algorithms, Database systems, Linear algebra, Multivariable calculus, and Statistics.
- Language: English
- Video Transcript: English
- Associated skills:Text Mining, PageRank, Machine Learning, Dimensionality Reduction, MapReduce, Algorithms, Link Analysis
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.Interested in this course for your business or team?
Train your employees in the most in-demand topics, with edX For Business.