- Data Analysis
- Security Information and Event Management (SIEM)
- Business Process Automation
- Data Processing
- Ad Hoc Reporting
- Query Languages
- Business Analysis
- Analysis
- Business Intelligence
- Incident Response
- Exploratory Data Analysis
- Data Science
Splunk Search Expert 101
Completed by Kyue Sup Byun
October 9, 2024
2 hours (approximately)
Kyue Sup Byun's account is verified. Coursera certifies their successful completion of Splunk Search Expert 101
What you will learn
Investigate data using Splunk Search Processing Language (SPL) and create searches, reports, dashboards, and visualizations.
Utilize temporary and persistent fields in searches and enrich data with fields from other data sources.
Create, managed, and schedule reports and alerts to automate processes and respond to incidents as they occur.
Visualize data to create charts, graphs, and maps and use visual formatting commands to curate appearance.
Skills you will gain
