The University of Waikato is giving you a chance to join the free online course named as “Data Mining with Weka”. The course is aimed to anyone who deals in data and discovers practical data mining and wants learn to mine data using the popular Weka workbench.Top of FormBottom of Form
Through this free online course, you’ll get an introduction practical data mining using the Weka workbench. You will study the principles behind these various methods, including how different ones produce different shapes of classification boundary.The course will start on March 6, 2017.
Course At A Glance
- Length: 5 weeks
- Effort: 3 hours pw
- Subject: Data Mining with Weka
- Institution: The University of Waikato
- Languages: English
- Price: Free
- Certificate Available: Yes
- Session: The course will start on March 6, 2017
Providers Details
- The Environmental Research Institute’s focus is to produce world-class systems-level research and through strong end-user relationships, successful outcomes for improved environmental resilience and management. In addition, the Institute aims to develop and enhance the capability, capacity and profile of the University of Waikato’s environmental researchers and its collaborators.
- The university strives to provide a future-focused curriculum and is committed to ongoing investment in technology, and campus and program development. It offers a broad range of qualifications for undergraduate and graduate students, priding itself on the flexibility of its degrees.
Requirements
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).
About This Course
- Benefits: this course you’ll get an introduction practical data mining using the Weka workbench. They will dispel the mystery that surrounds data mining and explains the basic principles of several popular algorithms and how to use them in practical applications. The language of the course is English.
- Importance of the Subject in Today’s Scenario: Data Mining has great importance in today’s highly competitive business environment. A new concept of Business Intelligence data mining has evolved now, which is widely used by leading corporate houses to stay ahead of their competitors.
How to Join This Course
- You should register yourself through the given link to join this free on-line course: https://www.futurelearn.com/register
- Use the hashtag#FLdatamining to join and contribute to social media conversations about this course
Why Take This Course
- Advantage of Course: Through the course, you’ll develop an awareness of the overall data mining process including the pitfalls, and ethical issues concerning the use of data mining.
- Certificate: To be eligible to buy a Certificate of Achievement, you must mark over 90% of course steps as complete and attempt all test questions, achieving a score of over 70%.You can easily add it to your LinkedIn profile, CV or resume.
Learning Outcomes
- You’ll develop an awareness of the overall data mining process including the pitfalls, and ethical issues concerning the use of data mining.
- The course explores the overall data mining process using a variety of datasets.
- You will discover the knowledge that how to evaluate data mining results
- You will learn about various techniques of data filtering, and how to apply them.
Instructors
Ian Witten: He studied at Cambridge University, and worked at the Universities of Essex in England and Calgary in Canada before moving to paradise (aka New Zealand) 25 years ago.
Suggested Reading
You need some experience with using computers for everyday tasks, high school maths, you’ll need an understanding of some elementary statistics concepts for the course.
You Might Also Be Interested In
If you are interested you can also join “Managing Big Data with R and Hadoop” free online course.
Conclusion
- You’ll get to explore datasets from various walks of life, with prescribed experiments for you to analyze them – as diverse as diabetes, CPU performance, attributes of glass, breast cancer, labor relations, soybeans, schizophrenia, even flowers – and slugs. By the end of the course, you should realize there’s no magic in data mining, although it might seem that way.
- Your Certificate shows your name, your course, the logo of the organization offering it, plus any professional associations endorsing it, and the lead educator’s signature. The Certificate and transcript give you evidence to show during job or university applications, or appraisals.
Detailed Information
For more information about the course, you can check the given link:
