Today’s world generates more data than ever before! Being able to turn it into useful information is a key skill. This Data Mining with Weka course from The University of Waikato by FutureLearn 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
By the end of the course, you'll be able to:
- 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
Get more detailsVisit official programme website
Programme StructureWhat topics will you cover?
- 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?
- 35 days
Start dates & application deadlines
- No Attendance
- Proactive tutoring and support
- Individual work/assignments (with online group discussions)
DisciplinesInformatics & Information Sciences Data Science & Big Data Machine Learning View 47 other Short Courses in Informatics & Information Sciences in United Kingdom
We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
- 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).
InternationalFreeTuition FeeBased on the tuition of 0 USD per year during 35 days.
NationalFreeTuition FeeBased on the tuition of 0 USD per year during 35 days.
It's free to join and study this course, you have the option to upgrade and receive a digital and printed certificate for $79. Additional benefits can be reached via the Unlimited FutureLearn product.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 9 months
Check the official programme website for potential updates.