Mining Massive Datasets at Stanford

Jure Leskovec, Jeff Ullman, and Anand Rajaraman, professors at Stanford University, wrote the book Mining of Massive Datasets. They also happen to be the instructors for the Mining Massive Datasets programme, for which their book is the source material.

The Mining Massive Datasets certification syllabus corresponds to the CS246 programme at Stanford University. The major topics covered under the curriculum include algorithms for data streams, locality-sensitive hashing, MapReduce systems and algorithms, machine-learning algorithms, frequent itemset analysis, PageRank and web-link analysis, clustering, computational advertising, dimensionality reduction, social-network graphs, and recommendation systems.

The Mining Massive Datasets online course is a seven-week advanced computer science programme. The video lectures are in English, and you can study them in your time. English transcripts are also available to help you follow along. You need to spend anywhere between five and ten hours on the programme if you want to complete it within seven weeks. Edx has 2 tracks namely the verified track and the audit track which allows the students to finish off the course. During the verified track, the candidates will get unlimited but paid access to the course materials. In the audit track, the candidates will be getting limited but free access to the course materials.