Subject description
A crucial skill in data science is the management and organisation of data. Usually, the most time-consuming step in analyses is the setup and shaping of data for the required analyses.
Visualisation of data, whether used for exploratory analysis or for illustration of results, is a must in any translational … For more content click the Read More button below.
This subject will cover data wrangling, which involves reading in data sets from different sources, cleaning data, and aggregating and summarising variables and rows from data. It will also cover basics of administrative data use and existence of resources for accessing data. This subject will rely heavily on statistical packages such as R, RStudio and RMarkdown.
Equivalence
STAT950 - Managing and Communicating Health and Social Data
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Managing Data
Visualising Data
Communicating Data
Work integrated learning
Foundational WIL:This subject contains elements of "Foundational WIL". Students in this subject will observe, explore or reflect on possible career pathways or a work-related aspect of their discipline.
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