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  1. Essential concepts and characteristics of data
  2. The purpose of scripting for data management using R and R-Studio
  3. Principles and practices in data screening, cleaning, linking, and visualizations
  4. The importance of clear communication of results to decision-makers
  5. The key ethical challenges associated with applications of data science in a variety of contexts

After taking this course, students will be able to:

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