University of Waikato Courses

Data Mining with Weka

4.3

Learn how to mine your own dataToday’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.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 will download the free Weka software during Week 1. 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.)

Advanced Data Mining with Weka

0

Extend your repertoire of data mining scenarios and techniquesThis 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.)

Practical Data Mining

0

This flexible program of online courses is aimed at anyone who deals in data and is seriously concerned about obtaining information from it.You’ll begin with a practical introduction to data mining and learn to mine your own data using the popular Weka workbench. You’ll go on to discover more advanced data mining techniques, including how to mine large datasets.Finally, you’ll look at a variety of popular packages that can be used to extend Weka’s functionality, and gain the skills you need to become a data mining wizard.

More Data Mining with Weka

0

Learn how to process, analyse, and model large data setsOn this course, led by the University of Waikato where Weka originated, you’ll be introduced to advanced data mining techniques and skills.Following on from their first Data Mining with Weka course, you’ll now be supported to process a dataset with 10 million instances and mine a 250,000-word text dataset.You’ll analyse a supermarket dataset representing 5000 shopping baskets and learn about filters for preprocessing data, selecting attributes, classification, clustering, association rules, cost-sensitive evaluation.You’ll also explore learning curves and how to automatically optimize learning parameters.This course is aimed at anyone who deals in data professionally or is interested in furthering their professional or academic skills in data science.This course follows on from Data Mining with Weka and it’s recommended that you complete that course first unless you already have a rudimentary knowledge of Weka.As with the previous course, it involves no computer programming, although you need some experience with using computers for everyday tasks.High school maths is more than enough; some elementary statistics concepts (means and variances) are assumed.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.)

Sustainable Development Goals: People, Place, and Environment

0

Examine SDGs in the context of the individualGlobal sustainability is deemed impossible without local sustainability. On this four-week course, you’ll examine how thoughts and actions by individuals are fundamentally linked to global sustainable goals.You’ll be introduced to the United Nation’s Sustainable Development Goals and discover that when we focus on the everyday experiences of individuals and communities, we can drive transformative change.Explore the importance of indigenous knowledgeDrawing on the latest dynamic research in social and cultural geography, you’ll connect with current thinking on a range of topics such as food waste, disability, and permaculture.You’ll also identify the importance of indigenous knowledge, particularly Tikanga Māori (indigeneity) in SDGs. This knowledge will help you understand indigenous approaches to climate justice and how the SDGs link with people, place, and culture.Discover how the individual impacts sustainable practicesYou’ll explore a range of everyday places and spaces to explore why who we are – in terms of gender, ethnicity, indigeneity, class, sexuality, age, disability – impacts sustainable practices.This understanding will help you gain insights into the ways people and places are critical in achieving sustainable actions.Learn alongside the experts at the University of WaikatoThe course includes interviews with leading Māori scholars, environmentalists, scientists, institutional leaders, and students who are all working towards sustainable futures. You’ll also have the opportunity to engage with other learners to explore personal experiences.Guided by specialists from the University of Waikato, you’ll finish the course with an understanding of the many ways in which people, families, communities, and nations can work together towards sustainability.This course is designed for anyone interested in gaining a holistic understanding of the UN Sustainable Development Goals.It will also be beneficial for organisations who wish to align their practices and actions with the SDGs.

The Power of Picturebooks

0

Discover how picturebooks reflect societal valuesPicturebooks are powerful pedagogical resources in educational and home settings.On this four-week course from The University of Waikato, you’ll be introduced to the history and characteristics of the picturebook format and how they depict societal values.Develop your textual and visual analysis skillsYou’ll explore the powerful combination of text and image, delving into the role that visual language can play in meaning-making.Then, this course will guide you through the learning potential of the picturebook, specifically focusing on raising awareness of social issues, cultivating empathy, and working toward social justice.Explore the importance of language hierarchies in bilingual picturebooksBilingual picturebooks reflect the status of languages in society and can be used to support awareness of languages and language learning. On this course, you’ll learn to analyse picturebooks by considering their purpose and audience.Learn from education experts at The University of WaikatoSitting among the top 3% of universities worldwide, The University of Waikato is committed to delivering a world-class education and research portfolio.The two educators that will guide you through this course are both award-winning tertiary teachers who bring a strong background in both content and online pedagogy.Note: The script for the trailer can be found here.This course is designed for teachers working across all levels of education. It may also be of interest to parents as well as authors and publishers working in children’s literature.For this course, you’ll be invited to gather a range of picturebooks, either in print and/or ebook format.

Data Mining with Weka

4.8

Everybody talks about Data Mining and Big Data nowadays. Weka is a powerful, yet easy to use tool for machine learning and data mining. This course introduces you to practical data mining.

Advanced Data Mining with Weka

5

This course follows on from Data Mining with Weka and More Data Mining with Weka. It provides a deeper account of specialized data mining tools and techniques. Again the emphasis is on principles and practical data mining using Weka, rather than mathematical theory or advanced details of particular algorithms. Students will analyse time series data, mine data streams, use Weka to access other data mining packages including the popular R statistical computing language, script Weka in Python, and deploy it within a cluster computing framework. The course also includes case studies of applications such as classifying tweets, functional MRI data, image classification, and signal peptide prediction. 

More Data Mining with Weka

4.9

This course follows on from Data Mining with Weka and provides a deeper account of data mining tools and techniques. Again the emphasis is on principles and practical data mining using Weka, rather than mathematical theory or advanced details of particular algorithms. Students will work with multimillion-instance datasets, classify text, experiment with clustering, association rules, neural networks, and much more.