That said, these are only four branches of a larger analytical tree. Why? Because these names are easy to understand and are used a lot in вЂњthe real world.вЂќДescriptive analysis is an informational method, diagnostic analysis explains вЂњwhyвЂќ a phenomenon occurs, predictive analysis seeks to forecast the result of an action, and prescriptive analysis identifies solutions to a specific problem. If you Google вЂњtypes of data analysis,вЂќ the first few results will explore descriptive, diagnostic, predictive, and prescriptive analysis. Descriptive, Diagnostic, Predictive, & Prescriptive Analysis

This article provides a comprehensive list of types, methods, and techniques, and explains the difference between them. These categories are what we call today types, methods, and techniques. Over time, people have intuitively categorized the best logical practices for treating data. You have already worked with data extensively in your life, and вЂњanalysisвЂќ is nothing more than a fancy word for good sense and basic logic. In fact, you donвЂ™t need experience to understand the basics. It consists of filtering, sorting, grouping, and manipulating data tables with basic algebra and statistics. While the term sounds intimidating, вЂњdata analysisвЂќ is nothing more than making sense of information in a table.

Basic data analysis methods