Check the links below for a detailed outline of each course, and to reserve your place today with our convenient online booking facility. Click to download a PDF brochure…
+61 414 57 33 22
Thursday 2—Friday 3 May 2013
9.30am to 5pm
Data mining is a vital discipline of 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. Click here for more details…
Tuesday 30 April–Wednesday 1 May 2013
9.30am to 5pm
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. Click here for more details…
This course is strongly recommended as a foundation for those wishing to take one of our other, more advanced courses.
Monday 6–Tuesday 7 May 2013
9.30am to 5pm
Data mining and predictive modelling skills are of vital and growing importance in commercial, government, and not-for-profit organisations. Those in management, product, risk, customer, and IT functions benefit from skills and literacy in this area. This two-day course introduces a range of data mining tools and techniques as they are commonly used in business, and provides practical experience in their use. Click here for more details…
This is an exclusive two-day course limited to just five attendees.
Statistics and data analysis fundamentals training
Effective analysis and interpretation of data for today’s knowledge economy requires basic fluency in statistics. This one-day course gives a gentle, intuitive introduction to the subject using Excel and R to teach key concepts and visualisation methods. Learn the practical skills to apply core statistical concepts while working with data.
Data processing and visualisation training
Organizational data is often messy, poorly organized for the purposes of analysis, and difficult to interpret. Learn to sift through the chaos to understand the risks, opportunities, trends and groupings within. Effectively prepare, transform, explore and display data with the skills of a professional data analysis practitioner.
Forecasting and trend analysis fundamentals training
Learn forecasting techniques essential to decision-making and planning at strategic, tactical and operational levels. Covers a range of forecasting tools and time series analysis techniques, along with collective forecasting. Know how to assess forecasts, manage forecasting teams, models, methods and processes, and understand the strengths and weaknesses of the techniques available.