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Data Mining with Weka

Ian Witten, Peter Reutemann, Jemma König, and Eibe Frank

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more 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). You can use the hashtag #FLdatamining to talk about this course on social media.

Topics Covered

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?

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Reviews summary

Practical data mining introduction with weka

According to learners, this course offers a largely positive introduction to data mining, particularly recommended for beginners and those without programming experience. Students find the explanations generally clear and the hands-on exercises and assignments helpful for applying concepts using the Weka tool. The course is widely praised for providing a practical and accessible entry point into the field. However, some learners, especially those with prior experience, felt the course was too basic and lacked depth on advanced topics or statistical explanations. There are also frequent mentions that the Weka tool feels clunky or outdated compared to current industry tools. Overall, it's considered a solid foundation but not for intermediate or advanced learners.

Exercises and demos reinforce learning effectively.

"The hands-on exercises were particularly helpful for applying the concepts learned in the lectures."

"The assignments reinforced the learning perfectly. Great job!"

"Solid overview. The lectures were informative, and the Weka demos were useful."

Learn data mining hands-on using Weka.

"...covers the basics of data mining using Weka very effectively. The hands-on exercises were particularly helpful..."

"The explanations were crystal clear, and using Weka made it very practical."

"Really enjoyed this course... provided practical skills using Weka. The step-by-step guides for Weka were excellent."

"The use of Weka makes it very accessible. Explanations are easy to grasp. Highly practical introduction."

Excellent explanation of basics for newcomers.

"Excellent course, easy to understand and covers the basics of data mining using Weka very effectively. Highly recommended for beginners."

"The explanations were crystal clear, and using Weka made it very practical. Even without programming experience, I felt comfortable."

"Excellent introduction! Clear, concise, and practical. I appreciated that no programming was needed. Highly recommend for beginners."

"Provides a solid basic understanding of data mining principles and how to apply them using Weka. Good for beginners..."

Some find Weka clunky or outdated.

"Weka itself is a bit clunky to use initially, but the course guides you well."

"Weka is a decent tool, but the interface could be more user-friendly."

"Weka felt outdated compared to other tools. Expected more for an intermediate learner."

"Weka is functional but requires patience."

Best for beginners; lacks depth for others.

"Found the explanations too simplistic, and the course didn't go into enough depth on important algorithms."

"...sometimes the lack of mathematical depth was noticeable. Good starting point."

"Not suitable for intermediate or advanced learners. The content is too basic..."

"Okay course, but very basic. If you have any prior exposure to data mining or statistics, much of this will be review."

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Data Mining

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Provides a comprehensive introduction to data mining with a focus on practical tools and techniques, particularly using the Weka software. It widely used textbook and a good resource for understanding the practical aspects of applying data mining algorithms.

Data Mining with Weka

Topics Covered

Topics Covered

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Reviews summary

Practical data mining introduction with weka

Activities

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Reading list

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