ALS 1210

ALS 1210

Course information provided by the Courses of Study 2021-2022.

The ability to find, analyze and utilize data helps one communicate, interpret and engage with the world around them. Yet there is a divide between those who can work with and understand data and those who cannot. Ownership and manipulation of data is largely handled by corporations, researchers and government. How does a more diverse population gain access to the know-how to make sense of data? This class aims to equip students from a variety of non-technical backgrounds with the necessary skills to engage with data in meaningful ways (both quantitative and qualitative data). The class approaches data literacy as part of a broader process of inquiry into the world – not from a math or statistics-centric point of view.

When Offered Fall, Spring.

Outcomes
  • Define data types and formats and classify based on the research questions that they address.
  • Explain why a dataset was collected and who collected it and describe how it was collected and what its known limitations are.
  • Identify the importance of data management principles for working with data.
  • Utilize open-source and web-based tools for simple data analysis.
  • Apply basic visualization concepts to avoid misleading or ambiguous representations when presenting and sharing data.
  • Articulate a data-driven argument.

View Enrollment Information

Syllabi:
  •   Regular Academic Session. 

  • 1 Credit Stdnt Opt

  • 18605 ALS 1210   LEC 001

  • Instruction Mode: In Person