Course Highlights
  • Create and interpret data visualizations using the Python programming language and associated packages & libraries.
  • Apply and interpret inferential procedures when analyzing real data.
  • Apply statistical modeling techniques to data (ie. linear and logistic regression, linear models, multilevel models, Bayesian inference techniques).
  • Understand importance of connecting research questions to data analysis methods.
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Statistics with Python

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