Monday, 4 July 2016

All three Weka MOOCs available as self-paced courses

All three MOOCs ("Data Mining with Weka", "More Data Mining with Weka" and "Advanced Data Mining with Weka") are now available on a self-paced basis. All the material, activities and assessments are available from now until 24th September 2016 at:

We are not providing any tutorial, help or assistance during this session.
Also, we will not produce any Statements of Completion until after 24th September.

Ian & the WekaMOOC team

Tuesday, 24 May 2016

Class 5 is now available

The lessons for Class 5, the last in our course, are now available on the course website:

Class 5 is about scripting. People who use Weka a lot always want to be able to write scripts to do the work, instead of all this clicking. Well, you can! You can

  • write Weka scripts in Python from within the Explorer interface
  • write Weka scripts in Groovy, a Java-based scripting language, in the same way
  • set up the Python Weka wrapper so that you can access the Weka code from within your own Python installation. 
The third option requires to have your own Python installation, which is simple on Linux but not so simple on other operating systems, and that's up to you -- we don't show you how to do it. But the other two options are immediately available from within Weka when you install the corresponding packages. It's easy!

The post-course assessment is also now open. The videos, slides and transcripts will remain available at YouTube, and the "Materials" site:

There is also a post-course survey for your opinions of the MOOC.

We will run all three of these courses, “Data Mining with Weka,” “More Data Mining with Weka,” and
“Advanced Data Mining with Weka,” again, but are not yet sure when

cheers, and enjoy the remainder of the course!


Monday, 16 May 2016

Class 4 is now available

The six lessons for Class 4 are now available on the course website:

In this class we'll learn about distributed processing with Apache Spark (and also with Hadoop). We're assuming that you don't necessarily have access to a cluster computer, but you can still use the framework on a single machine, and the Activities will show you how to get started with this.

The Application lesson 4.6 shows you how to use Weka for image processing, by creating all sorts of different feature sets for your images using the imageFilter package.
Next week is the last. Pretty soon you will be a certified advanced expert in data mining and the use of Weka! Keep at it!