What you'll learn

Raw Splunk events rarely provide answers in a form that’s easy to interpret or share. Analysts need to transform search results into clear summaries, readable reports, and efficient searches that scale across repeated investigations. In this course, Splunk Statistical and Transforming Commands, you’ll learn how to turn raw event data into meaningful analytical output while improving both presentation and performance. First, you’ll explore how to use commands such as stats, by, top, and rare to transform raw events into answer-ready tables, calculate aggregates like count, sum, and average, and identify distributions and outliers. Next, you’ll discover how to shape results for reporting by selecting relevant fields with table, organizing output for clarity, and using rename to make reports and dashboards easier to read and share. Finally, you’ll learn how to use eval to create and normalize fields, apply conditional logic with if and case, and improve search efficiency through effective use of search modes, acceleration, and summary indexing. When you’re finished with this course, you’ll have the skills and knowledge needed to convert raw Splunk data into clear summaries and optimized searches that produce dependable, shareable insights.