At the end of the course, you will be able to:
Choose a data acquisition strategy and write reproducible scripts to read data.
Determine when data simulation is useful for analysis and plan appropriate simulations.
Identify and manage outliers and anomalies, reflecting on their impact on conclusions.
Address missing data, apply handling strategies, and assess their effect on conclusions.
Perform exploratory data analysis with statistical and visualization methods to generate hypotheses.
Evaluate the impact of measurement scales, units, and errors, and apply methods to minimize them.
Assess data privacy needs, apply techniques where necessary, and reflect on their impact.
Evaluate who owns the data in a given case.