Courses
The Business Analytics group has two main educational offerings:
These degrees provide students with a advanced knowledge in applied statistics and data science, with a focus on open source software and open data. With this knowledge you can equip yourself with computational statistical tools to understand the world around you in the face of uncertainty.
Some of the unit descriptions are:
- ETC5510 Introduction to data analysis (2020 original)
- ETC5512 Wild-caught data
- ETC5513 Reproducible and collaborative practices
- ETC5521 Diving deeply into data exploration
- ETC5523 Communicating with data
- ETC5500 Applied forecasting
- ETC5250 Introduction to machine learning
- ETC5450 Advanced R programming
A full list of topics for the B.Comm BA major can be found here MBAt program can be seen here.
Additional Resources
Fresh and local data
-
AFL (women and men) -
cricket (women and men) -
Occurrence data from Atlas of Living Australia - Melbourne pedestrian sensor data
- Australian tourism database available to Monash personnel
- Air quality sourced from https://openaq.org
Taxonomy of open data: Slides for ETC5512 show a useful taxonomy of data sources.
Data philosophy: Be conscious of diversity e.g. avoid data with binary gender/sex; Break boundaries e.g. for a sports example use women’s statistics.
Style guide
- Templates
- Website:
quarto use template quarto-monash/unit - Slides:
quarto use template quarto-monash/presentation
- Website:
- We recommend following Tidyverse style guide for R code