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January 6, 2025
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This course is part of SIEM Splunk Hands-On Guide Specialization
Instructor: EDUCBA
Included with
Recommended experience
Intermediate level
Basic Scripting and Querying Skills
Familiarity with cybersecurity concepts
Basic understanding of operating systems
Basic Networking Knowledge
Recommended experience
Intermediate level
Basic Scripting and Querying Skills
Familiarity with cybersecurity concepts
Basic understanding of operating systems
Basic Networking Knowledge
Explore search techniques to extract meaningful insights, Splunk's Machine Learning Toolkit (MLTK), Master the Splunk Query Language (SPL)
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The "Splunk Query Language and Data Analysis" course equips you with fundamental skills to effectively use Splunk, a powerful platform for managing machine-generated data. Whether you're an experienced IT professional or new to data analysis, this course provides a foundational understanding of Splunk's query language and data analysis capabilities.
Learning Objectives: 1) Understand essential basic commands, create and utilize custom fields, and transform data 2) Understand the concept of macros in SPL, advanced statistical functions, and advanced data manipulation techniques 3) Learn how to design and build interactive dashboards, understand the importance of scheduled searches and alerts, gain proficiency in creating and customizing Splunk reports By the end of the course, you will be able to: • Recognize basic SPL commands like search, eval, and stats for data analysis • Discover data transformation and calculated field creation with the eval command • Formulate and apply custom fields, tags, and event types for efficient data categorization • Examine advanced SPL techniques for complex data transformations and statistical analysis • Apply time-based analysis with functions like time-chart, chart and event-stats • Manipulate complex data structures and nested fields • Use macros to simplify complex queries and promote reusability • Design interactive, visually appealing dashboards in Splunk using the dashboard editor • Compile Splunk reports for effective presentation of search results • Schedule searches and alerts for proactive data monitoring and notifications Module 1: Introduction to SPL (Splunk Query Language) Description: The “Introduction to SPL (Splunk Query Language)" module provides an overview of the essential concepts and syntax of SPL, the powerful query language used in Splunk. You will gain a foundational understanding of how to construct searches, filter and transform data, use functions for aggregation, and visualize results, enabling them to extract valuable insights and analyze data effectively within the Splunk platform. You will demonstrate essential basic commands like search, eval, and stats, allowing you to perform simple data analysis tasks and retrieve specific information from the data. You will Identify how to transform data and compose calculated fields using the eval command, developing data analysis and enabling the discovery of valuable insights. You will identify, compose and utilize custom fields, tags, and event types, enabling you to categorize and enhance data for more efficient analysis and visualization. Module 2: Advanced SPL Techniques Description: The "Advanced SPL Techniques" module delves into more sophisticated and powerful techniques in the Splunk Query Language (SPL). You will explore complex data transformations, advanced statistical and time-based functions, subsearches, and joint operations to perform intricate data analysis tasks. You will demonstrate to leverage the full potential of SPL, allowing you to tackle complex data scenarios and gain deeper insights from their data in the Splunk platform. You will Illustrate advanced statistical functions like timechart, chart, and eventstats in SPL to perform complex data aggregations and time-based analysis. Discover advanced data manipulation techniques in SPL, such as multikv, spath, and streamstats, to handle complex data structures and nested fields effectively. Identify the concept of macros in SPL and how to create and use them to simplify complex queries and promote reusability. Module 3: Splunk Dashboards and Reporting Description: The "Splunk Dashboards and Reporting" module focuses on teaching you how to design and create interactive and visually appealing dashboards in Splunk. You will design search results, visualizations, and custom components to present data insights effectively. Furthermore, the module covers various reporting techniques to generate scheduled and ad-hoc reports, enabling users to share critical information with stakeholders and make informed decisions. You will learn how to design and build interactive and visually appealing dashboards in Splunk using the dashboard editor. Gain proficiency in creating and customizing Splunk reports to present search results in tabular format effectively. Identify the importance of scheduled searches and alerts for proactive data monitoring and event-driven notifications. Target Learners: This course is suitable for IT professionals, data analysts, and anyone interested in harnessing the power of Splunk for data analysis and insights. Learner Prerequisites: Basic understanding of Splunk is required, along with a basic understanding of data analysis concepts is an added advantage. Reference Files: You will have access to code files in the Resources section. Course Duration: The course spans three modules, with each module designed to be completed in approximately 3-4 weeks, depending on individual learning pace.
The ""Introduction to SPL (Splunk Query Language)"" module provides an overview of the essential concepts and syntax of SPL, the powerful query language used in Splunk. Learners will gain a foundational understanding of how to construct searches, filter and transform data, use functions for aggregation, and visualize results, enabling them to extract valuable insights and analyze data effectively within the Splunk platform."
11 videos5 readings4 assignments1 discussion prompt
The "Advanced SPL Techniques" module delves into more sophisticated and powerful techniques in the Splunk Query Language (SPL). Learners will explore complex data transformations, advanced statistical and time-based functions, subsearches, and join operations to perform intricate data analysis tasks. This module empowers users to leverage the full potential of SPL, enabling them to tackle complex data scenarios and gain deeper insights from their data in the Splunk platform.
12 videos2 readings4 assignments1 discussion prompt
The "Splunk Dashboards and Reporting" module focuses on teaching learners how to design and create interactive and visually appealing dashboards in Splunk. Participants will learn to combine search results, visualizations, and custom components to present data insights effectively. Additionally, the module covers various reporting techniques to generate scheduled and ad-hoc reports, enabling users to share critical information with stakeholders and make informed decisions.
12 videos3 readings4 assignments1 discussion prompt
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You will learn how Splunk can be utilized for security monitoring, threat detection, and compliance reporting.
It is important for data analysis because it helps organizations gain insights from vast amounts of data, enabling informed decision-making, troubleshooting, and security monitoring.
Various career opportunities, including roles such as Splunk Administrator, Data Analyst, Security Analyst, IT Operations Analyst, and more.
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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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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Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.