Details
Session 1: Self-study Period (weeks 1-3)
Students will work through the textbook and practice problems, as well as watch videos.
Session 2: In-person period (week 4)
Date TBA: In-person lecture and lab 10am-12pm and 1pm-3pm
Date TBA: In-person lecture and lab 10am-12pm and 1pm-3pm
Date TBA: In-person lecture and lab 10am-12pm and 1pm-3pm
Session 3: Self-study period (weeks 5-6)
Students will work through class notes and practice problems, as well as watch videos.
Description
This micro-credential aims to facilitate an understanding of graphical modelling and relationships.
Topics
- Constructing graphical representations for multivariate data
- Construction and use of diagnostics plots when conducting statistical analysis of data
- Constructing and interpreting graphical displays for dependent data
Learning outcomes
Upon successful completion, enrollee's will have the knowledge and skills to:
- Demonstrate detailed knowledge of the R statistical computing language, particularly graphical capabilities
- Construct graphical representations for multivariate data including scatterplots, and dynamic graphics
- Use diagnostic plots when conducting statistical modelling to explore and refine statistical models for data, including detailed explanations of such use
- Construct and interpret graphical displays for dependent data
Indicative assessment
Assignment 1: Presentation graphics (20%), 8-page limit, LO: 1 and 2.
Assignment 2: Project analysing a dataset (80%), 8-page limit, LO: 1, 2, 3 and 4.
Assumed knowledge
Graphical Data Analysis A is the prerequisite for Graphical Data Analysis B.
This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.
Micro-credential stack information
This micro-credential may be undertaken as part of a stack by completing Graphical Data Analysis A.
Successful completion of Graphical Data Analysis A and B can lead to specified credit for the course STAT7026 Graphical Data Analysis.
Details
Course Code: DATA31
Workload: 72 hours
- Contact hours: 12 hours
- Individual study and assessment: 60 hours
ANU unit value: 3 units
Course Code Level: 7000
Contact: Jo Drienko (RSFAS DDE)
This Micro-credential is taught at a graduate level. This is not an AQF qualification.
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Details Session 1: Self-study Period (weeks 1-3) Students will work through the textbook and practice problems, as well as watch videos. Session 2: In-person period (week 4) Monday...
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