Descriptive analytics involves the interpretation of historical data to understand changes that have occurred in a business over time. This cluster focuses on teaching learners how to use descriptive analytics to summarize and interpret past performance, identify trends, and support informed decision-making. By mastering descriptive analytics, professionals can improve their ability to analyze past data, identify key performance indicators (KPIs), and create comprehensive reports that highlight areas of success and opportunities for improvement.

This cluster is ideal for business analysts, data scientists, and managers. Practical outcomes include improved historical data analysis, better performance tracking, and enhanced ability to communicate past business performance.

Learners will explore techniques such as trend analysis, variance analysis, and data summarization. Tools like business intelligence (BI) platforms, Excel, and reporting software will be covered to help learners implement and manage descriptive analytics processes effectively.