Kibana Data Analysis I - Virtual

Kibana Data Analysis I - Virtual


For data analysts and engineers who want to learn how to analyze their small or big data with Kibana.

View upcoming in-person trainings or virtual trainings. The course outline contains a detailed list of topics covered.


The course begins with an overview of event data and how Elasticsearch can aggregate this type of data in near real-time. Core Kibana concepts are explored through lecture, labs, and Q&A sessions. After learning the core concepts users will explore a 300K events data set to find insights.


2 Days


Virtual classroom trainings are scheduled for 2 consecutive days for 4 hours. Available morning and afternoon in different time zones.

There will be 10-minute breaks during the course. We encouraged participants to set up their systems prior to login to the training course environment the first day of the class and 15 minutes early for the remainder of the training.



Technical and non-technical audience who want to learn how to analyze their small or big data with Kibana. This course is designed for analysts as well as engineers.


No prior knowledge of Kibana or the Elastic Stack is required

Setup Requirements

  • We require participants to download the latest version of Chrome or Firefox. (Safari isn’t 100% supported in the virtual environment).
  • The virtual classroom uses lots of JavaScript. We recommend that you disable any ad-blockers (some interfere with the virtual classroom) and that you restart your Web Browser before logging in.
  • Laptop with a stable Wifi connection
  • Mac, Linux OS, or Windows 7 or later
  • At least 20% free disk space


Have training questions? Email us at

Additional Notes

This course may be taken in combination with the Elastic Stack Workshop.

Upcoming Classes

Onsite Training

For groups of three or more

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Public Training

US Eastern Standard Time

US Central Standard Time

US Pacific Standard Time

Central European Time

Classes marked with Confirmed are guaranteed to run. Sign up now while there is still space available!

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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