What you'll get
  • 13+ Hours
  • 4 Courses
  • Course Completion Certificates
  • Self-paced Courses
  • Technical Support
  • Case Studies

Synopsis

  • Gain hands-on expertise in Kibana, a leading visualization and dashboard tool for Elasticsearch.
  • Learn to efficiently analyze large datasets and derive actionable insights.
  • Create interactive visualizations, including charts, graphs, and maps, to represent complex data.
  • Develop custom dashboards to monitor and track key metrics and KPIs.
  • Understand Elasticsearch fundamentals and how Kibana interacts with data indices for real-time analytics.
  • Explore best practices for data visualization, reporting, and performance optimization.
  • Apply learning through practical exercises and projects that simulate real-world use cases.
  • Gain insight into DevOps integration, data pipelines, and distributed search applications.
  • Learn how to leverage JSON, relational databases, and web technologies to maximize Kibana's capabilities.
  • Build confidence in implementing solutions independently and taking on complex analytics projects.

Content

Courses No. of Hours Certificates Details
Project on Kibana: Analyzing Employee Browsing Interests29mView Curriculum
Project on Kibana: Super Market Sales Analysis and Exploration3mView Curriculum
Project on Kibana: Metric Monitoring and Tracking5mView Curriculum
Elasticsearch Tutorials Module #1 - Queries10h 42mView Curriculum

Description

This comprehensive Kibana training equips learners with the skills to create visualizations and dashboards for uncovering insights from large datasets. Starting from foundational concepts, the course gradually introduces advanced features such as real-time data analytics, custom dashboard creation, and interactive visualizations. By combining theory with hands-on projects, learners can experience the end-to-end workflow of working with Elasticsearch and Kibana.

The course also emphasizes the latest industry trends, ensuring participants are ready to handle challenges in big data and analytics roles. Practical exercises guide learners through common business scenarios, enabling them to interpret data, identify patterns, and communicate findings effectively. Additionally, the course touches upon DevOps concepts to help learners understand the broader context of Kibana within modern data ecosystems.

Sample Certificate

Course Certification

Requirements

  • Basic knowledge of Java programming and web development.
  • Familiarity with relational databases and JSON will be beneficial.
  • Understanding of Unix/Linux commands is advantageous.
  • A willingness to engage with hands-on exercises and continuous learning.

Target Audience

  • Beginners seeking a solid foundation in Kibana and data visualization.
  • Students pursuing computer science, data analytics, or related fields.
  • Professionals aiming to enhance their data analytics and visualization skills.
  • Developers, data engineers, and DevOps professionals working with Elasticsearch.
  • Anyone looking to advance in big data, analytics, or dashboard-driven decision-making roles.