Data in Context
Virginia SOL DS.1
Identify problems suitable for data-driven solutions and define the stages of the data science cycle.
What students need to be able to do
- Identify characteristics of problems that benefit from a data-driven approach.
- Formulate questions based on contextual information.
- Determine relevant data types for a given problem context.
- Define relationships between variables and constants in a problem.
- Create a measurable hypothesis for a data science problem.
- Define the stages of the data science cycle and their interconnections.
- Identify constraints of a data-driven approach to problem-solving.