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Data Mining with Weka

Online Course

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Data Mining with Weka
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Data Mining with Weka
The course Data Mining with Weka is an online class provided by The University of Waikato through Future Learn. It may be possible to receive a verified certification or use the course to prepare for a degree.

Discover practical data mining and learn to mine your own data using the popular Weka workbench.

Course description
  • Learn how to mine your own data
  • 5 weeks
  • Today’s world generates more data than ever before! Being able to turn it into useful information is a key skill. This course introduces you to practical data mining using the Weka workbench. We’ll dispel the mystery that surrounds the subject. We’ll explain the principles of popular algorithms. We’ll show you how to use them in practical applications. You’ll get plenty of experience actually mining data during the course, and afterwards you’ll be well equipped to mine your own. Weka originated at the University of Waikato in NZ, and Ian Witten has authored a leading book on data mining.
  • What is data mining?
  • Where can it be applied?
  • How do simple classification algorithms work?
  • What are their strengths and weaknesses?
  • In what ways are real-life classification methods more complex?
  • How should you evaluate a classifier’s performance?
  • What is “overfitting” and how can you combat it?
  • How can ensemble techniques combine the result of different algorithms?
  • What ethical considerations arise when mining data?
  • Demonstrate use of Weka for key data mining tasks
  • Evaluate the performance of a classifier on new, unseen, instances
  • Explain how data miners can unwittingly overestimate the performance of their system
  • Identify learning methods that are based on different flavors of simplicity
  • Apply many different learning methods to a dataset of your choice
  • Interpret the output produced by classification methods
  • Describe the principles behind many modern machine learning methods
  • Compare the decision boundaries produced by different classification algorithms
  • Debate ethical issues raised by mining personal data
  • This course is aimed at anyone who deals in data. It involves no computer programming, although you need some experience with using computers for everyday tasks. High school maths should be more than enough and you’ll need an understanding of some elementary statistics concepts (means and variances).
  • The University of Waikato
  • Sitting among the top 3% of universities world-wide, The University of Waikato prepares students to think critically and to show initiative in their learning.
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Prerequisites & Facts

Data Mining with Weka

Course Topic

Business, Data Analytics, Decision Making

University, College, Institution

The University of Waikato

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Data Mining with Weka

To obtain a verified certificate from Future Learn / The University of Waikato you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
The University of Waikato
Data Mining with Weka
provided by Future Learn
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Reviews

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Here you can find information, reviews and user experiences for the course “Data Mining with Weka“. The provider of the course – “The University of Waikato” – will be glad to answer any questions you may have about the class, click here to use the offical support channels. It would be great if you could share your experience of participating in the course – Your honest review will surely help others to choose the right class!
School: The University of Waikato
Topic: Coding & Programming, Data Science, IT & Computer Science, Science, Engineering & Maths

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