Analyze Web Logs with Kibana & Elasticsearch

Overview

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.

Syllabus

Log Analysis and Visualization 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.