Instructor: Dr. Geoffrey Fox
1. MOOC Summary
This FREE MOOC (Massive Open Online Course) investigates the use of clouds running data analytics collaboratively for processing Big Data to solve problems in Big Data Applications and Analytics. Case studies such as Netflix recommender systems, Genomic data, and more will be discussed. Download Course Material: syllabus, slides, python files , or all in one zip file
Enroll to watch the videos. It only takes a few seconds and a gmail account. No commitment required. The graded undergraduate and graduate versions for IU students will be based and/or extended from this MOOC. Click on +'s to left of each section bar below to read unit overviews. Do a no-obligation enroll to view Section 1 units on Introduction and Motivation.
3. Earn Badges
In this free MOOC, you will earn badges that will be permanently stored in your Mozilla backpack. While there is no grade assigned in this course, you will get an opportunity to learn at your own pace by reviewing peer assignment(s) or homework(s).
4. Discuss & Interact
Entire course discussion will take place on the Google Plus Community Forum in different streams. You will also get a chance to interact with the instructor using Hangouts On Air that will be broadcast to the world while getting an opportunity to live questions.
5. MOOC Technology
This course uses CGLMooc and Google Course Builder technology. This supports either large scale MOOC's or traditional classes using same delivery model: Video, Google+ discussions, resources and homework integrated into class.
6. Other Courses
There are three additional courses using CGLMooc technology and sharing some content. These other courses are limited enrollment and have rigorous admission and grading and offer IU credits. See IU Student? for details
More information about this course: https://bigdatacourse.appspot.com/preview