subject
Intro

Big Data applications and Analytics

 with  Geoffrey Fox
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.
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FAQ View All
What are MOOCs?
MOOCs stand for Massive Open Online Courses. These are free online courses from universities around the world (eg. Stanford Harvard MIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you.  They also have student discussion forums, homework/assignments, and online quizzes or exams.

1 review for Big Data applications and Analytics

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4 out of 7 people found the following review useful
3 years ago
Kuhnrl30 dropped this course, spending 3 hours a week on it and found the course difficulty to be easy.
tl;dr: Like a textbook, there is a lot of information but zero engagement. I started this course a few months ago and was not impressed. As I understand it, this is similar to the on-campus course at Indiana U and the lectures were made available for free. There is no certificate for completion. I gave it my leve Read More
tl;dr: Like a textbook, there is a lot of information but zero engagement.

I started this course a few months ago and was not impressed. As I understand it, this is similar to the on-campus course at Indiana U and the lectures were made available for free. There is no certificate for completion. I gave it my level best effort to complete the course ended up dropping it a few months later after only getting to the 5th section. Here are my thoughts:

Pros:

The instructor did his research and there is a lot of material presented. He also aggregates information from many leading sources to give a comprehensive lecture. Prof. Fox's expertise is readily apparent.

Cons:

The presentation was disappointing. The course is presented using the sage-on-the-stage method where the instructor sat in front of a webcam and just started talking. I don't think there was much editing involved because the instructor has a regularly coughs throughout the lectures. While I can't fault him for having a cold, it is quite distracting and there's really no excuse for it in recorded lectures.

The course materials were not engaging. The lectures do not incorporate exercises or demonstrations to get the learner involved in the material. There are projects midway through the course but the learner will need to make the commitment to get there. The discussion group on Google+ is not active- there was more spam pots than course discussion. This is probably the biggest fault of the course is not have a moderator to clean the discussion boards and to lead the discussion. At last look, there were only 148 members to the group which hardly qualifies this course as a Massive Open Online Course (MOOC).
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