Course summary
A powerful search and analytics engine needs an equally powerful user interface for creating advanced visualizations and performing deeper analysis. This course focuses on exactly that, using Kibana to analyze data in Elastic. Starting with the fundamentals, you will learn the core concepts of data analysis using Kibana — from simple aggregation-based charts to complex geo-based visualizations to results of machine learning jobs of complex time series data — through lectures, labs, and Q&A sessions. You will also learn how to create visualizations and interactive 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
- Audience
- Duration
- Pre-reqs
- Requirements
Topics
- Getting started
- Search your data
- Additional Visualizations
- Present your data
- Analyze your data with machine learning
- Visualize your data
- Advanced Kibana
- Alerting
Topics
- Getting started
- Search your data
- Additional Visualizations
- Present your data
- Analyze your data with machine learning
- Visualize your data
- Advanced Kibana
- Alerting
Audience
Any technical or non-technical users, including Data Analysts, Security Analysts, Operations Analysts, DevOps, and other business professionals
Duration
24 Hours
Pre-Reqs
- Elastic trainings are delivered in multiple languages please confirm you are selecting a course in your language
- 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
- Elastic trainings are delivered in multiple languages please confirm you are selecting a course in your language
Course Details
Virtual
10:00 am - 4:30 pm
10:00 am - 4:30 pm
10:00 am - 4:30 pm
10:00 am - 4:30 pm
(Europe - Amsterdam Time Zone)
Have a Question?
Please see our Training FAQ with any additional questions you may have. Have a question not answered in the FAQ? Contact us.