Data Investigation Processes: Connected, Iterative, and Cyclic
Developing the ability to do data science and make sense of the data science work done by others involves building skills and knowledge that span across all phases of a data life cycle and draw on many subject areas. Science tends to put a heavy emphasis on reasoning from and with data to understand scientific phenomena. English and Social Studies incorporate the use of data and data visualizations as evidence to support arguments, interpret information, and evaluate claims in social structures of our world.
This blog post discusses why and how data investigation processes are a critical aspect of learning data science in K-12.