Data Analysis with Kibana

Training

Course Summary

A powerful search and analytics engine needs an equally powerful user interface for creating advanced visualization and performing deeper analysis. This course focuses on exactly that, using Kibana to analyze data in Elasticsearch. Starting with the fundamentals, you will learn the core concepts of data analysis using Kibana — from simple aggregation-based charts to complex geo based visualization to complex time series visualizations — through lectures, labs, and Q&A sessions. You will also 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. By the end of this course, you will be able to easily find answers and anomalies in your Elasticsearch data sets using Kibana. After completing this course, you will be prepared for the Elastic Certified Analyst exam.

Topics Covered

  • Kibana fundamentals
  • Kibana searches
  • Kibana visualizations
  • Kibana visual builder
  • Kibana geo visualizations
  • Kibana dashboards
  • Kibana advanced tools for analysts
  • Machine learning fundamentals
  • Kibana interfaces

Course Details

Audience

Any technical or non-technical users, including Data Analysts, Security Analysts, Operations Analysts, DevOps, and other business professionals

Duration

Virtual - 4 days | 6 hours per day

Prerequisites

No prior knowledge of Kibana or the Elastic Stack required

Requirements

  • Mac, Linux, or Windows
  • Stable internet connection (virtual classroom)
  • Latest version of Chrome or Firefox (other browsers not supported)
  • Disable any ad blockers and restart your browser before class

Upcoming Courses - Data Analysis with Kibana

  • Virtual

    May 26 - May 29, 2020

    9:00 am - 3:00 pm PDT

    Register Now
  • Virtual

    Jun 22 - Jun 25, 2020

    9:00 am - 3:00 pm PDT

    Register Now
  • Virtual

    May 4 - May 7, 2020

    9:00 am - 3:00 pm CDT

    Register Now
  • Virtual

    Jun 8 - Jun 11, 2020

    9:00 am - 3:00 pm CDT

    Register Now