Experimental Design, Data, and Variables

Experimental Design, Data, and Variables

This pathway covers fundamental concepts in experimental design that are related to data science, such as asking testable research questions, independent and dependent variables, generating hypotheses, designing positive and negative controls, data types, determining correlation versus causation, and sampling.

Topics

  • hypothesis
  • null hypothesis
  • control
  • positive control
  • negative control
  • placebo
  • variable
  • independent variable
  • dependent variable
  • correlation
  • causation
  • sampling
  • bioinformatics
  • data ethics