Kibana Data Analyst - Virtual

Kibana Data Analyst - Virtual

Summary

This instructor-led 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 creating users, roles, and spaces.

Description

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.

This expanded training has replaced the 1-day Kibana Data Analysis I course.

Note: This course is also available in-classroom.

Topics Covered
  • Introduction to Kibana
  • Exploring Data Sets
  • Aggregation
  • Querying & Filtering
  • Visualizations & Dashboards
  • Canvas
  • Time Series Visual Builder & Timelion
  • Security & Spaces
  • Reporting & Saved Objects
  • Advanced Settings and More
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 (Safari is not 100% supported)
  • Due to virtual classroom JavaScript requirements, we recommend that you disable any ad-blockers and restart your browser before class.

Additional Notes

Virtual Classroom Information
This virtual classroom training is taught over 4 consecutive days for 4 hours per day. Classes are offered in the morning and afternoon across different time zones. 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. We also encourage being logged into the virtual classroom 15 minutes prior to the start of class each day.

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

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Public Training

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Classes marked with Full are full and no additional registrations are accepted. If you cannot find another class that suits your schedule, feel free to request a class and we will do our best to accomodate your needs.


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