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University of Pittsburgh    
2021-2022 Undergraduate Catalog 
    
 
  Jan 18, 2022
 
2021-2022 Undergraduate Catalog
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PS 1702 - VISUALIZING AND UNDERSTANDING SOCIAL DATA


Minimum Credits: 3
Maximum Credits: 3
Much of modern data analysis involves presenting and interpreting various forms of ¿social data¿ (e.g. political, economic, and sociological) in a way that is clearly interpretable and understandable to a general audience. This class is a gentle introduction into data analysis and visualization. The key objective is learning through practical examples how messy real world data can be turned into clear and interpretable visualizations, tables, and more. The course will cover topics such as creating maps of spatial data, visualizing trends over time, analyzing text data, merging different datasets and creating reproducible projects. It aims to give students exposure to coding and computer languages that are often used in data analytics in industry, government and academia.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: LG/SNC Elective Basis
Course Attributes: Undergraduate Research


Click here for class schedule information.



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