03. Learning outcomes

After successful completion of this course students will be able to:

  • Identify aspects of, and issues with, empirical real-world data sets
  • Understand and apply basic techniques of exploratory data analysis to real world complex data sets.
  • Use a programming language and environment: R and RStudio, Python, or Mathematica,  for exploratory data analysis.
  • Utilize data visualization techniques effectively.
  • Communicate exploratory data analyses verbally and in writing.