Data is collected with both computational and non computational tools and processes. This microcredential represents the knowledge of how to teach collection, visualization, and transformation in a secondary classroom to support student learning about how data about themselves and their world is collected and used in the early grades. As students progress, they learn the effects of collecting data with computational and automated tools. Data is transformed throughout the process of collection, digital representation, and analysis. In early grades, students learn how transformations can be used to simplify data. As they progress, students learn about more complex operations to discover patterns and trends and communicate them to others Please locate "01. PROFICIENCY SCALE – Data & Analysis – Collection, Visualization, Transformation" in the resources to view specific Wyoming Computer Science Content and Performance Standards and the CSTA Standards for Teachers included in this microcredential.