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Analyze Web Logs with Kibana & Elasticsearch

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Analyze Web Logs with Kibana & Elasticsearch

This course is part of Kibana Projects: Data Analytics & Visualization Specialization

Instructor: EDUCBA

Included with Coursera Plus

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1 module

Gain insight into a topic and learn the fundamentals.

2 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Load and prepare web log data in Elasticsearch.
Build visualizations and interactive dashboards in Kibana.
Evaluate browsing behavior to extract actionable insights.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Kibana Projects: Data Analytics & Visualization Specialization

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 assignments1 plugin

6 videosTotal 40 minutes

Introduction to Project7 minutes
Load Data Elasticsearch7 minutes
Analysis of Data in Kibana7 minutes
Creation of Visualization8 minutes
Creation of Dashboard7 minutes
Conclusion1 minute

3 assignmentsTotal 50 minutes

Data Preparation and Exploration10 minutes
Visualization and Dashboards10 minutes
Log Analysis and Visualization with Kibana30 minutes

1 pluginTotal 30 minutes

Building Insights with Kibana: From Data to Dashboards30 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.

Instructor

EDUCBA

311 Courses110,183 learners

Offered by

EDUCBA

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Frequently asked questions

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.

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