Build Your First Dashboard with Splunk

Course Feature
  • Cost
    Free Trial
  • Provider
    Pluralsight
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    On-Demand
  • Learners
    No Information
  • Duration
    1.00
  • Instructor
    Craig Golightly
Next Course
5.0
1 Ratings
Splunk provides users with the ability to collect, analyze, and visualize data. This tutorial will guide users through the process of uploading data into Splunk, and creating and customizing dashboards to gain insights from their data.
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Course Overview

❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course, Build Your First Dashboard with Splunk, provides an overview of the Splunk platform and how to use it to create a dashboard. Participants will learn about the Splunk products, how to upload data into Splunk, and how to create and customize dashboards to explore and understand their data. The course will cover topics such as loading data into Splunk Enterprise, building and customizing a dashboard, and understanding the data. By the end of the course, participants will have the skills and knowledge to create a dashboard with Splunk.

[Applications]
Upon completion of this course, learners will be able to apply their knowledge of Splunk to create and customize dashboards to explore and understand their data. They will also be able to load data into Splunk Enterprise and understand the different Splunk products.

[Career Paths]
1. Data Analyst: Data Analysts use Splunk to collect, analyze, and interpret data to identify trends and patterns. They use this data to make informed decisions and develop strategies for their organization. Data Analysts are in high demand as organizations increasingly rely on data-driven decisions.

2. Business Intelligence Developer: Business Intelligence Developers use Splunk to create dashboards and reports that provide insights into an organization’s performance. They use Splunk to develop data visualizations and dashboards that help organizations make better decisions.

3. Data Scientist: Data Scientists use Splunk to analyze large datasets and uncover hidden patterns and trends. They use Splunk to develop predictive models and algorithms that can be used to make decisions and improve operations.

4. Security Analyst: Security Analysts use Splunk to monitor and analyze security events. They use Splunk to detect and investigate security threats and vulnerabilities. Security Analysts are in high demand as organizations increasingly rely on data-driven security solutions.

[Education Paths]
Recommended Degree Paths:
1. Bachelor of Science in Data Science: This degree program provides students with the skills and knowledge to analyze and interpret data, develop data-driven solutions, and create data-driven products. Students will learn how to use data to solve problems, create visualizations, and develop predictive models. Additionally, they will gain an understanding of the ethical implications of data science and the importance of data privacy.

2. Master of Science in Business Analytics: This degree program provides students with the skills and knowledge to analyze and interpret data, develop data-driven solutions, and create data-driven products. Students will learn how to use data to solve business problems, create visualizations, and develop predictive models. Additionally, they will gain an understanding of the ethical implications of data science and the importance of data privacy.

3. Master of Science in Artificial Intelligence: This degree program provides students with the skills and knowledge to develop and implement artificial intelligence (AI) solutions. Students will learn how to use AI to solve problems, create visualizations, and develop predictive models. Additionally, they will gain an understanding of the ethical implications of AI and the importance of data privacy.

Developing Trends:
1. Data Science: Data science is becoming increasingly important as organizations look to leverage data to gain insights and make better decisions. As a result, there is a growing demand for data scientists who can analyze and interpret data, develop data-driven solutions, and create data-driven products.

2. Business Analytics: Business analytics is becoming increasingly important as organizations look to leverage data to gain insights and make better decisions. As a result, there is a growing demand for business analysts who can analyze and interpret data, develop data-driven solutions, and create data-driven products.

3. Artificial Intelligence: Artificial intelligence is becoming increasingly important as organizations look to leverage AI to gain insights and make better decisions. As a result, there is a growing demand for AI experts who can develop and implement AI solutions.

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