When you enroll in this course, you'll also be enrolled in this Specialization.
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
There is 1 module in this course
By the end of this course, learners will be able to explain project scope, load and prepare web log data in Elasticsearch, create index patterns in Kibana, construct multiple visualizations, build interactive dashboards, and evaluate browsing behavior patterns for actionable insights.
This hands-on course is designed for professionals and students who want to gain practical skills in data visualization and log analysis using the Elastic Stack. Through guided demonstrations, learners will first prepare and load web log data into Elasticsearch, then explore Kibana’s powerful features for indexing, filtering, and interactive querying. Next, they will construct meaningful visualizations and integrate them into dashboards that reveal user behavior patterns.
Unlike generic introductions, this course is project-based, focusing on a real-world dataset of browsing logs from a software company. Learners will not only understand the technical workflow but also appreciate how insights derived from dashboards can support informed decision-making in business and technology contexts.
Whether you are an aspiring data analyst, system administrator, or IT professional, this course provides the essential skills to analyze, visualize, and communicate log data effectively with Kibana.
This module provides learners with a complete, project-based journey into log analysis and visualization using Elasticsearch and Kibana. Starting from data loading and preparation, learners will progress through creating meaningful visualizations, building dashboards, and evaluating insights into browsing behavior. By the end, learners will be able to apply Kibana effectively for real-world log analysis tasks.
What's included
6 videos3 assignments
Show info about module content
6 videos•Total 40 minutes
Introduction to Project•7 minutes
Load Data Elasticsearch•8 minutes
Analysis of Data in Kibana•8 minutes
Creation of Visualization•8 minutes
Creation of Dashboard•8 minutes
Conclusion•1 minute
3 assignments•Total 50 minutes
Data Preparation and Exploration•10 minutes
Visualization and Dashboards•10 minutes
Log Analysis and Visualization with Kibana•30 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Learner reviews
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AT
5·
Reviewed on Mar 29, 2026
High-quality content that covers everything from data loading to dashboarding. The explanation of the ELK pipeline is the clearest I have found in any online training.
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LO
5·
Reviewed on Apr 1, 2026
Each lecture builds real competence. Went from confused to creating anomaly detection alerts. Excellent for data-driven ops.
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VK
5·
Reviewed on Apr 3, 2026
Very professional and well-paced. The exercises on troubleshooting HTTP errors and tracking user sessions via Kibana dashboards were exactly what I needed for my job.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.