Advanced Data Mining with Weka
The University of Waikato
  • Start Date: 18 Nov, 2019
  • 5 weeks
  • Study Content: Videos


Learn how to use popular packages that extend Weka's functionality and areas of application. Use them to mine your own data!

Course Fee: Free
Certificate Cost: See Fees and Eligibility

Introduction

Introduction Video

Course Description

This course is made available through the eLearnAfrica and FutureLearn partnership.

Extend your repertoire of data mining scenarios and techniques


This course will bring you to the wizard level of skill in data mining, following on from Data Mining with Weka and More Data Mining with Weka, by showing how to use popular packages that extend Weka’s functionality. You’ll learn about forecasting time series and mining data streams. You’ll connect up the popular R statistical package and learn how to use its extensive visualisation and preprocessing functions from Weka. You’ll script Weka in Python – all from within the friendly Weka interface. And you’ll learn how to distribute data mining jobs over several computers using Apache SPARK.


This course is aimed at anyone who deals in data. You should have completed Data Mining with Weka and More Data Mining with Weka – or be an experienced Weka user. Although the course includes some scripting with Python, you need no prior knowledge of the language. You will have to install and configure some software components; we provide full instructions.


Before the course starts, download the free Weka software. It runs on any computer, under Windows, Linux, or Mac. It has been downloaded millions of times and is being used all around the world.


(Note: Depending on your computer and system version, you may need admin access to install Weka.)


Certificate cost may vary. You will be redirected to the host page for cost and payment options.

The University of Waikato

This university is part of the partnership between eLearnAfrica and FutureLearn.

This institution is available on eLearnAfrica through partnership with FutureLearn.

You may be able to download course materials after enrolling in this course. If not, all of the necessary course materials provided by the course instructor will be available on the provider's course page.
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Effective Date: September 22, 2016