Current courses

Melbourne
22–30 October 2015

Introduction to R and data visualisation
Tuesday 27–Wednesday 28 October 2015

R is the world’s most popular data mining and statistics package. It’s also free, and easy to use, with a range of intuitive graphical interfaces. This two-day course will introduce you to the R programming language, teaching you to create functions and customise code so you can manipulate data and begin to use R self-sufficiently in your work.
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Predictive analytics and data science for big data
Thursday 29–Friday 30 October 2015

Data science, predictive modelling and big data skills are of vital and growing importance in commercial, government, and not-for-profit contexts, particularly for managers and those in risk, customer and IT functions. Learn the fundamentals of predictive modelling, including coverage of generalised linear models, support vector machines, decision trees, gradient boosting machines and neural networks. This course also covers a range of other key data mining tools including principal components analysis, cluster analysis, and more.
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Advanced Machine Learning Masterclass
Thursday 22–Friday 23 October 2015

This course is for experienced machine-learning practitioners who are seeking to improve their skills and understanding of the field and to develop proficiency in building more accurate, efficient, and robust models. The aim of the course is to connect deeper theory to practice, so you can create faster, more accurate and appropriate models, and make more effective use of related techniques. The course will cover advanced machine learning tools such as bagging, Lasso, elastic net, randomForest, gradient boosting, neural networks, and deep learning, giving students hands-on experience in using them.
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