This course introduces learners to Kibana, focusing on its data exploration, visualization, and dashboard-building capabilities. With a structured approach, learners will be equipped to transform raw data into actionable insights using Kibana's powerful features. Practical examples and step-by-step guides ensure an intuitive understanding of Kibana’s interface. By the end, learners will be able to create and share interactive dashboards and use advanced analytics features to drive business decision-making.
Kibana 8.x – A Quick Start Guide to Data Analysis
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Kibana 8.x – A Quick Start Guide to Data Analysis
Instructor: Packt - Course Instructors
Included with
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Create visualizations using Kibana's intuitive tools
Build and share interactive dashboards for in-depth analysis
Configure and optimize Kibana settings for efficient data management
Skills you'll gain
- Interactive Data Visualization
- Exploratory Data Analysis
- Applied Machine Learning
- Kibana
- SQL
- Graphing
- Real Time Data
- Qualitative Research
- Query Languages
- Time Series Analysis and Forecasting
- Anomaly Detection
- Dashboard
- Data Analysis
- Data Visualization Software
- Splunk
- Data Visualization
- Role-Based Access Control (RBAC)
- Grafana
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
December 2025
Assessments
10 assignments
Taught in English
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There are 10 modules in this course
In this section, we introduce Kibana as an open-source UI for Elasticsearch, covering setup, configuration, and data integration to enable effective data visualization and management within the Elastic Stack.
What's included
2 videos1 reading1 assignment
In this section, we covers creating data views, configuring spaces, and managing saved objects in Kibana.
What's included
1 video1 reading1 assignment
In this section, we explore Kibana Discover to analyze data, construct KQL queries, and save searches for efficient data retrieval and reuse.
What's included
1 video2 readings1 assignment
In this section, we covers Kibana visualization tools like Lens, Canvas, and maps for interactive data displays.
What's included
1 video3 readings1 assignment
In this section, we explore TSVB for real-time data visualization, focusing on annotations, aggregations, and customization to enhance time series analysis.
What's included
1 video2 readings1 assignment
In this section, we explore anomaly detection in time series data, entity-centric analysis, and alert configuration using Kibana's machine learning tools for improved data insights and proactive issue resolution.
What's included
1 video2 readings1 assignment
In this section, we explore graph visualization in Elasticsearch to uncover relationships between data points, focusing on creating, customizing, and troubleshooting graphs for applications like fraud detection and recommendations.
What's included
1 video1 reading1 assignment
In this section, we covers creating dashboards to visualize and analyze data effectively.
What's included
1 video3 readings1 assignment
In this section, we explore ES|QL fundamentals and advanced Kibana concepts to enhance data querying, visualization, and analysis efficiency through practical skills and structured workflows.
What's included
1 video4 readings1 assignment
In this section, we explore Query DSL for precise data retrieval and complex query design, focusing on Boolean logic, RBAC, and watcher configurations to enhance data management and security.
What's included
1 video5 readings1 assignment
Instructor
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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