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:
15,030 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Dec 3
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:Link Analysis, Machine Learning, Text Mining, Dimensionality Reduction, Algorithms, PageRank, MapReduce
Who can take this course?
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