Take the next step in your knowledge of Splunk. In this course, you will learn how to use time differently based on scenarios, learn commands to help process, manipulate and correlate data.
Splunk Search Expert 102
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Splunk Search Expert 102
This course is part of Splunk Search Expert Specialization
Instructor: Splunk Instructor
3,614 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.6
(44 reviews)
Beginner level
Recommended experience
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Filter data using time modifiers and time commands and use formatting functions to accommodate various time formats.
Calculate statistics using transforming commands and mathematical and statistical eval functions.
Compare, manipulate, and normalize data using several commands including the all-powerful eval command and an array of functions.
Enrich results with lookups and subsearches to correlate and filter data from multiple sources.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
5 assignments
Taught in English
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This course is part of the Splunk Search Expert Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course
This module is for users who want to become experts at using time in searches. Topics will focus on searching and formatting time in addition to using time commands and working with time zones.
What's included
5 videos2 readings1 assignment
This module is for users who want to identify and use transforming commands and eval functions to calculate statistics on their data. Topics will cover data series types, primary transforming commands, mathematical and statistical eval functions, using eval as a function, and the rename and sort commands.
What's included
13 videos2 readings1 assignment
This three-hour course is for power users who want to learn how to compare field values using eval functions and eval expressions. Topics will focus on using the comparison and conditional functions of the eval command, and using eval expressions with the fieldformat and where commands.
What's included
9 videos2 readings1 assignment
This module is for users who want to use commands to manipulate output and normalize data. Topics will focus on specific commands for manipulating fields and field values, modifying result sets, and managing missing data. Additionally, students will learn how to use specific eval command functions to normalize fields and field values across multiple data sources.
What's included
16 videos2 readings1 assignment
This module is designed for users who want to learn how to use lookups and subsearches to enrich their results. Topics will focus on lookup commands and explore how to use subsearches to correlate and filter data from multiple sources.
What's included
9 videos2 readings1 assignment
Instructor
Instructor ratings
4.7 (11 ratings)Offered by
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Amazon Web Services
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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