Applied Statistics, Data Science and Quality in Clinical Bioinformatics —
Training activity: 6

Details

Visualise the variation for multiple aspects of a genomics dataset programmatically using multiple plots

Type

Developmental training activity (DTA)

Evidence requirements

Evidence the activity has been undertaken by the trainee​.

Reflection on the activity at one or more time points after the event including learning from the activity and/or areas of the trainees practice for development.

An action plan to implement learning and/or to address skills or knowledge gaps identified.

Considerations

• For example:
  • Mean
  • Median
  • Quartiles
  • Determine if the data are normally distributed
  • Cumulative distribution analysis
  • Standard deviation
  • Identify outliers
  • Correlation

Relevant learning outcomes

#	Outcome
# 3	Outcome Apply statistical methods to derive meaningful conclusions from data to support clinical decision making.
# 4	Outcome Summarise results of data analysis to stakeholders.