Course Overview

Predictive analytics and machine learning techniques are revolutionizing business and government. Predictive Analytics and Machine Learning in R & Azure is aimed at the person who wants to have a better understanding of the mechanics behind the models and how these models are realistically applied in the business setting. In addition to covering advanced machine learning techniques in depth, the course covers the management of stakeholder expectations during predictive analytics projects and analytics project management. Advanced machine learning methods are discussed in depth, including those used to win global data science competitions.

Suitable For

This course is suited to any professional who already understands analytics and machine learning basics and is ready to progress to higher levels of sophistication. It is also suitable to any professional who is interested in who predictive analytics projects are conceptualized, scoped and project managed.

Prerequisites

It is recommended that participants have completed an introductory R programming course or MOOC and at least one 2nd year statistics unit at the university level.

Instructor

Isaac is currently the Head of Data Science at Altis Consulting, Australia’s largest and most experienced Information Management consulting firm in Australia/New Zealand. A passionate data science educator, Isaac has lectured in analytics and statistical theory at the Australian National University, AIM and the University of Canberra. Learn more >>

Required Laptop Specs

  • Intel i3 processor, 4GB RAM
  • Windows operating system
  • Unrestricted PC that has install permissions

Required Software

  • Excel 2010, 2013 or 2016
  • R or RStudio latest version
  • A free trial or paid subscription to Microsoft Azure ML Studio