Splunk Beginner Course 2023

Course Objectives :

The Splunk Beginner Course is designed to provide participants with a comprehensive understanding of Splunk and its capabilities. The course objectives include:

1. Understanding Splunk: The course will provide participants with an in-depth understanding of what Splunk is, how it works, and its role in data analysis. Participants will learn how Splunk can be used to collect and analyze data from various sources.
2. Installing and Configuring Splunk: Participants will learn how to download and install Splunk Enterprise on their local machine. They will also learn how to configure Splunk to work with various data sources.
3. Creating Dashboards: Participants will learn how to create visualizations and dashboards in Splunk to present data in a clear and concise manner. They will understand how to create charts, tables, and other visualizations and how to arrange them on a dashboard.
4. Understanding the Search Screen: Participants will learn how to use the search screen in Splunk to search, filter, and analyze data. They will understand how to use the search bar, search filters, and search operators to refine their search results.
5. Date-Time Search: Participants will learn how to search and filter data based on date and time. They will understand how to use the various date and time functions in Splunk to manipulate date and time values.
6. Advanced Search Queries: Participants will learn how to create advanced search queries in Splunk to analyze data.
7. Dataset Understanding: Participants will learn how to understand and work with datasets in Splunk. They will understand how to manipulate and transform data using field extractions, and other techniques.
8. Search Without a Sub search: Participants will learn how to search and analyze data in Splunk without using sub searches. They will understand how to use simple search queries to analyze data and how to refine their search results using filters and operators.
9. Search with a Sub search: Participants will learn how to use sub searches in Splunk to analyze data. They will understand how to use sub searches to filter and refine search results and how to combine sub searches with other search operators to create complex search queries.

By the end of the Splunk Beginner Course, participants will have a comprehensive understanding of Splunk and its capabilities. They will be able to use Splunk to collect and analyze data from various sources, create visualizations and dashboards, and create advanced search queries to analyze data. Participants will also have a solid understanding of how to manipulate and transform datasets in Splunk, making them well-equipped to use Splunk in their daily work.

Course Description:

Splunk is a powerful platform for data analysis that allows users to collect, index, and search data from various sources in real-time. This beginner course is designed to introduce participants to Splunk and its features, providing them with the foundational knowledge necessary to get started with the platform.

The course begins with an overview of Splunk, its architecture, and its components. Participants will learn how to download and install Splunk Enterprise, as well as how to navigate the user interface. They will also learn how to download and import tutorial data into Splunk.

The course then covers the basics of search language in Splunk, including how to use search commands and filters to search and analyze data. Participants will learn how to search for data based on date and time, as well as how to create more complex search queries using sub searches.

Next, the course focuses on understanding the dataset and creating advanced search queries to analyze and visualize data. Participants will learn how to create a dashboard to present their analysis and insights to others effectively.

Throughout the course, participants will have the opportunity to work on hands-on lab exercises that allow them to apply their newfound knowledge and skills to practical scenarios.

The course concludes with a summary of the key topics covered and a discussion of how participants can continue to build their skills and knowledge in Splunk.

By the end of the course, participants will have a solid understanding of Splunk and its capabilities, as well as the skills and knowledge necessary to use it effectively in their organizations. They will be able to collect and analyze data from various sources, create visualizations and dashboards, and share their insights with others.

Key topics covered in this course include:

• Splunk architecture and components
• Downloading and installing Splunk Enterprise
• Importing tutorial data into Splunk
• Search language basics, including search commands, and filters
• Searching for data based on date and time
• Creating advanced search queries with sub searches
• Understanding the dataset and creating visualizations
• Creating a dashboard to present insights and analysis
• Hands-on lab exercises

This beginner course is ideal for individuals who are new to Splunk and want to gain a foundational understanding of the platform. It is also suitable for IT professionals, security analysts, and data analysts who are interested in learning how to use Splunk to collect and analyze data from various sources.

Overall, this course provides participants with a comprehensive introduction to Splunk, equipping them with the skills and knowledge necessary to get started with the platform and begin using it effectively in their organizations.

Pre-Requisites:

• Basic computer skills: Participants should have basic computer skills, including the ability to use a keyboard and mouse, navigate through files and folders, and use a web browser.
• Basic understanding of data and analytics: Participants should have a basic understanding of data and analytics concepts, such as data types, data sources, data processing, and data visualization.
• Familiarity with command-line interfaces: While not strictly required, it can be helpful to have some familiarity with command-line interfaces, as the Splunk interface uses a command-line interface.
• Familiarity with search languages: Again, not strictly required, but it can be helpful to have some familiarity with search languages, such as SQL or regular expressions. Splunk uses its own search language called SPL (Splunk Processing Language), which is similar to SQL and regex.

Target Customers:

1. Individuals who work in IT operations, cybersecurity, compliance, and data analysis
2. Small business owners
3. Students
4. Anyone who is interested

What will you learn from this course:

1. How to collect and analyze data with Splunk: You will learn how to use Splunk to collect data from various sources and analyze it to gain insights. This includes understanding how to use search queries, filters, and statistical functions to analyze data.
2. How to create visualizations and dashboards: You will learn how to create visualizations and dashboards in Splunk to present data in a clear and concise manner. This includes understanding how to create charts, tables, and other visualizations, as well as how to arrange them on a dashboard.
3. How to use Splunk for IT operations and security: You will learn how to use Splunk for IT operations and security purposes, including monitoring system performance, detecting security threats, and analyzing logs. This includes understanding how to use pre-built Splunk apps for specific use cases, as well as how to create your own apps.