Teaching
In the past I have taught or developed:
- ETC3250/5250 Introduction to Machine Learning (100%) at Monash University,
- ETC5521 Exploratory Data Analysis (50%) at Monash University,
- ETC5512 Wild Caught Data (25%) at Monash University,
- ETC5523 Communicating with Data (100%) at Monash University,
- Introduction to R materials,
- STAT5002 Introduction to Statistics (50%) at The University of Sydney,
- STAT3012 Applied Linear Models (100%) at The University of Sydney,
- STAT906 Experimental Design (100%) at the University of Wollongong,
- MATH1013 Mathematical Modelling (50%) at The University of Sydney,
- MATH1005 Statistics (100%) at The University of Sydney,
and tutored various mathematics and statistics courses.
Materials
Wild-Caught Data
- Synthetic and Simulated Data Last taught in May 13, 2020
- The Language of Designed Experiments Last taught in May 20, 2020
- Introduction to Data Collection Methods Last taught in Mar 1, 2021
- Australian Census Last taught in Mar 22, 2022
- Australian Election Last taught in Mar 29, 2022
- Combining Australian Census and Election Data Last taught in Apr 5, 2022
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Communicating with Data
- Basic communication theory and practice Last taught in Jul 25, 2022
- Introduction to web technologies Last taught in Aug 1, 2022
- Communicating data with interactive web apps Last taught in Aug 8, 2022
- Data storytelling on the web Last taught in Aug 15, 2022
- Data tables Last taught in Aug 22, 2022
- Statistical model outputs Last taught in Aug 22, 2022
- Effective data visualisation Last taught in Aug 29, 2022
- Captivating statistical presentations Last taught in Sep 5, 2022
- Clearly communicating with code Last taught in Sep 12, 2022
- Stylishly communicating with code Last taught in Sep 19, 2022
- Narrative Last taught in Oct 3, 2022
- Visual Last taught in Oct 10, 2022
- Interactive Last taught in Oct 17, 2022
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Exploratory Data Analysis
- Initial data analysis Last taught in Aug 9, 2021
- Single variable Last taught in Aug 16, 2021
- Comparisons Last taught in Aug 30, 2021
- Model diagnostics Last taught in Sep 13, 2021
- Visual inference Part I Last taught in Oct 11, 2021
- Visual inference Part II Last taught in Oct 18, 2021
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Introduction to Machine Learning
- Overview Last taught in Feb 27, 2023
- Non-parametric regression Last taught in Mar 6, 2023
- Variable selection Last taught in Mar 6, 2023
- Regularisation Last taught in Mar 13, 2023
- Resampling Last taught in Mar 13, 2023
- Discriminant analysis Last taught in Mar 20, 2023
- Logistic regression Last taught in Mar 20, 2023
- Decision trees Last taught in Mar 27, 2023
- Tree ensemble methods Last taught in Apr 3, 2023
- k-nearest neighbours Last taught in Apr 17, 2023
- Dimension reduction Last taught in Apr 24, 2023
- Clustering Last taught in May 1, 2023
- Support vector machines Last taught in May 8, 2023
- Neural network Part I Last taught in May 15, 2023
- Neural network Part II Last taught in May 22, 2023
- Wrap-up Last taught in May 22, 2023
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Workshop
-
Data Wrangling with R
Last hosted by the Statistical Society of Australia NSW Branch at 1/12/20 -
Data Visualisation with R
Last hosted by the Statistical Society of Australia VIC Branch at 11/11/20 -
Tidyverse and R Markdown Workshop
Last hosted by the International Biometrics Society Australasia Region at 1/12/19 -
R Package & R Markdown Workshop
Last hosted by the Statistical Society of Australia VIC Branch at 19/11/19 -
Statistical Methods for Omics Assisted Breeding
Last hosted by the Univeristy of Tokyo at 12/11/18