Which type of analytics classification uses experimental design and optimization to suggest a course of action?

Descriptive analytics aims to summarize historical data and provide insights into what has happened in the past. It uses statistical techniques to interpret and present data trends but does not involve suggesting specific actions or optimizing decisions. Therefore, it lacks the predictive and prescriptive capabilities that characterize the other types of analytics.

Predictive analytics involves using historical data to forecast future outcomes. It employs statistical models and machine learning techniques to identify patterns and predict trends, but it stops short of recommending specific actions. While it provides insights into what might happen, it does not offer guidance on how to act upon those predictions.

Diagnostic analytics seeks to explain why certain events occurred by analyzing past data to identify patterns and correlations. It focuses on understanding causes and effects rather than providing recommendations for future actions. Thus, it does not encompass the optimization or prescriptive elements necessary for suggesting a course of action.