Peter's background is in psychology and cognitive sciences with a Ph.D in clinical neuroscience. Peter has worked on the forefront of neuroimaging research and has expertise in a wide range of data handling and analytics techniques.
In addition to instructing data science for GA Melbourne, Peter is also an honourary research fellow for the Florey Institute examining neural correlates of post-stroke recovery and is actively engaged in experimental design, data collection and analysis for several local and international studies.
Peter is interested in using technology and data science to help the recovery process after brain damage. He also plays the guitar. Badly.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.
Break Into Data Science
Take a peek into a day in the life of a data scientist and, more importantly, how you can get what the Harvard Business Review calls the “sexiest job of the 21st century."
Python Programming 101
In this class, you’ll how to get started with Python, what advantages and disadvantages Python provides as a programming language, and the essentials of programming in Python.
Data Science Immersive
Make smarter decisions by gaining the data analytics, data modeling, programming and statistics skills you need to start a career in data.
Intro to Data Science
This workshop will define what data science is, review some of the main tools used by data scientists today, and discuss how they can be implemented in real world work.