Splunk Search Expert 102

Go to Course: https://www.coursera.org/learn/splunk-search-expert-102

Introduction

### Course Review and Recommendation: Splunk Search Expert 102 If you’re seeking to deepen your understanding of Splunk, the **Splunk Search Expert 102** course on Coursera is an exceptional choice. This course is specifically designed for individuals who are already acquainted with Splunk fundamentals and are looking to master advanced search techniques and processes. #### Course Overview The **Splunk Search Expert 102** course invites participants on a challenging yet rewarding journey towards becoming proficient in using Splunk for data analysis. This course emphasizes the nuanced application of time in searches and introduces powerful commands essential for processing, manipulating, and correlating data in diverse scenarios. By the end of this course, you will not only enhance your data search capabilities but will also acquire the expertise to tackle real-world data-related challenges efficiently. #### Detailed Syllabus Breakdown 1. **Working with Time** - This module is crucial for anyone hoping to harness the power of time-oriented searches in Splunk. You'll delve into the intricacies of searching and formatting time, employ various time commands, and gain insight into how to navigate different time zones. Mastering these skills is essential for accurate data interpretation and results. 2. **Statistical Processing** - For those looking to elevate their analytical skills, this section focuses on transforming commands and `eval` functions to calculate statistics pertinent to your data. You will explore various data series types, primary transforming commands, and delve into mathematical and statistical `eval` functions. This knowledge will empower you to extract meaningful insights from complex datasets. 3. **Comparing Values** - In this three-hour module, power users will benefit from learning how to compare field values via `eval` functions and expressions. The focus on comparison and conditional functions will sharpen your analytical skills and enable nuanced data comparisons, a vital competency for data-driven decision-making. 4. **Result Modification** - If you aim to manipulate output and normalize data effectively, this module is tailored for you. You will learn how to modify result sets using specific commands and manage missing data, which is a common challenge in data analysis. Understanding how to use `eval` command functions to harmonize fields across various data sources will significantly enhance your proficiency. 5. **Leveraging Lookups & Subsearches** - Finally, this module will enrich your results by teaching you to utilize lookups and subsearches. You will learn the mechanics of lookup commands and how to leverage subsearches effectively to correlate and filter data from multiple sources. This knowledge is vital for producing comprehensive analyses that draw from diverse data streams. #### Recommendation Overall, **Splunk Search Expert 102** stands out as a well-structured course that effectively builds upon foundational knowledge while introducing advanced concepts and functionalities. The hands-on approach ensures that learners not only absorb theoretical knowledge but also gain practical skills to apply in real-world scenarios. If you are a data analyst, IT professional, or anyone involved in data management and analysis, I wholeheartedly recommend this course. With its comprehensive syllabus and practical focus, it promises to equip you with the tools necessary for advanced data analysis using Splunk. By enrolling in this course, you're making a strategic investment in your career and skill set. With the growing importance of data in decision-making processes across industries, mastering Splunk through this course could open up new professional opportunities for you. So, dive in and unlock the full potential of your data analysis capabilities with **Splunk Search Expert 102** on Coursera!

Syllabus

Working with Time

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.

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.

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.

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.

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.