Earners have learned how to evaluate and prioritise investment in data technologies in different parts of their organisation. Earners will be familiar with issues such as selection bias and confirmation bias and will have an awareness of how to manage the risk of introducing bias and prejudice when overseeing the building of new models. Earners have learned to craft actionable descriptive and predictive questions and are able to articulate opportunities for experimentation in the business.

• Type Learning
• Level Foundational
• Time Days