Kibana Data Analyst - Virtual

Kibana Data Analyst - Virtual

Upcoming Classes

No classes have been scheduled, but you can always Request a Quote.

Summary

This On-Demand course focuses on using Kibana to analyze data in Elasticsearch. You will learn how to create visualizations and dashboards across a variety of data sets, as well as how to manage Kibana by handling saved objects and creating spaces.

Description

Note: Data Analysts working with time series and infrastructure data should attend the Kibana Data and Ops Analyst course.

Starting with the fundamentals, you will learn the core concepts of data analysis using Kibana — from simple aggregation-based charts to complex time series visualizations — through lectures, labs, and Q&A sessions. By the end of this course, you will be able to easily find answers and anomalies in your data sets.

Note: This course is also available in a classroom environment.

Topics Covered
  • Kibana fundamentals
  • Kibana search
  • Kibana visualizations
  • Kibana dashboards
  • Kibana visual builder
  • Kibana management
Download Course Outline

Duration

4 Days

Audience

Any technical or non-technical users, including Data Analysts, Security Analysts, Operations Analysts, DevOps, and various Business Professionals

Prerequisites

No prior knowledge of Kibana or the Elastic Stack required

Setup Requirements

  • Laptop with Wi-Fi connectivity
  • Mac, Linux, or Windows
  • Latest version of Chrome or Firefox (other browsers not supported)
  • Disable any ad blockers and restart your browser before class
  • Ensure that any VPNs on your laptop are disabled before class

Additional Notes

Virtual Classroom Information
Virtual classroom trainings are delivered in four, six or eight-hour sessions of live lectures and lab time, with scheduled breaks throughout the session.

Open a specific offering (listed at the top of the page) to see the hours in which it will be held.

We encourage participants to set up their systems prior to logging into the training environment the first day of the class and logged in 15 minutes prior to the start of class each day.

General Training Information
Have training questions? Review our FAQ or email us.