Course overview
The aim of this course is to develop students' skills in the analysis, visualisation and critical understanding of data, to familiarise them with the basics of coding in an open source programming language relevant to data science, and to introduce the principles of open and reproducible science. In this course, students will learn how to gain insights from data using contemporary computational tools. The aim of this course is to this end, they will attain basic programming skills in an open source programming language (R or Python) and learn how to use online repositories such as GitHub or the Open Science Framework to share data and code. Students will also develop an understanding of how these tools help to foster open science, reproducible research and thus the ethical treatment of data. While critical for research in cognitive (neuro-)science, the data science skills acquired in this course generalise readily to other domains.
Course learning outcomes
- Generate appropriate insights from data of various types
- Perform data manipulation, visualisation and inference using appropriate open-source computational tools
- Use version control tools and online repositories for sharing of data and code
- Demonstrate a critical understanding of the principles of open and reproducible science
Availability
Class details
Magill
Group 1
Class number 67752
Section WS03
Size 30
Available 30
Notes:
Class number 67753
Section WS02
Size 30
Available 30
Notes:
Class number 67754
Section WS01
Size 30
Available 30
Notes:
Adelaide City Campus East
Group 1
Class number 65547
Section WS02
Size 30
Available 30
Notes:
Class number 65548
Section WS01
Size 30
Available 30
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