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

Synopsis

  • Leverage Kibana’s visualization capabilities to clearly interpret employee browsing patterns and engagement data.
  • Once you've visualized employee engagement, transition your attention to system performance by tracking essential metrics in real time with Kibana and Metricbeat, helping you spot performance shifts and potential issues early.
  • After the system analysis, turn to the supermarket sales datasets in Kibana to uncover insights into product performance, geographic trends, and customer purchasing behavior.
  • To tie these analyses together, develop strong expertise in building insightful Kibana dashboards that support smarter, data-driven decisions across a variety of business functions.
  • To begin, set up Kibana and import relevant datasets to enable end-to-end analysis.
  • Design dashboards specifically to monitor scenarios such as user behaviors or sales trends.
  • Use advanced visualization techniques to reveal hidden relationships, patterns, and trends within your data.
  • Implement Kibana’s alerting and notification features to maintain system health and ensure timely response to critical events.
  • Apply your skills in real-world situations to convert complex data into meaningful insights that drive business outcomes.
  • Master Kibana’s core principles and interface to build a solid foundation.
  • Secure your Kibana environment by managing user access, roles, and workspace permissions.
  • As your familiarity with Kibana grows, build both introductory and advanced visualizations suited to various analytical goals.
  • With a solid foundation, gain proficiency in Kibana Query Language (KQL) to perform precise searches and filtering, building upon your foundational knowledge.
  • After you have learned KQL, create, manage, and interact with dynamic dashboards that present data in an actionable format, applying the skills you gained in prior steps.
  • As an advanced step in your learning journey, explore Kibana’s reporting and alerting tools to automate insights and notifications.
  • Advance from foundational knowledge to expert Kibana skills through structured lessons that build one upon another.
  • Produce impactful reports and dashboards that contribute value to organizational decision-making.
  • Efficiently locate and analyze log data within Kibana using best practices.
  • Integrate live data streams from backend and web applications directly into Kibana for real-time insights.
  • Deploy Kibana on cloud platforms and with Docker containers for flexible, scalable solutions.
  • Reinforce your expertise through hands-on exercises and practical examples to solidify understanding.

Content

Courses No. of Hours Certificates Details
Project on Kibana: Analyzing Employee Browsing Interests29m✔View Curriculum
Project on Kibana: Metric Monitoring and Tracking5m✔View Curriculum
Project on Kibana: Super Market Sales Analysis and Exploration3m✔View Curriculum

Description

This collection of real-world projects offers an immersive introduction to data analysis with Kibana, a robust platform for visualization and analytics. Throughout these hands-on exercises, learners will work through diverse scenarios, including examining employee browsing patterns, tracking key system metrics, and evaluating supermarket sales performance. By the end of the series, participants will have developed practical, applied experience using Kibana’s capabilities to uncover meaningful insights and support informed, data-driven decision-making.

Course Outline:

Project on Kibana - Analyzing Employee Browser Behavior

In this project, participants analyze employee browsing activity using Kibana’s visualization and analytics tools. The project begins with setting up Kibana and importing sample datasets to examine browsing trends, popular pages, and user interaction metrics. By creating customized dashboards, participants can monitor browser behavior, identify patterns, and highlight opportunities for organizational improvement.
This project covers:
  • An introduction to Kibana and its visualization and analysis capabilities
  • Setting up Kibana and loading sample employee browsing data
  • Interpret browsing activity, top sites, and user engagement with visualization tools.
  • Build dashboards to track browser behavior and trends, and to detect anomalies.

Project on Kibana: Metric Monitoring and Trend Analysis

This project demonstrates Kibana’s capabilities in tracking system metrics and identifying performance trends across different environments. Learners integrate Kibana with Metricbeat to monitor key system indicators in real time, such as CPU performance, memory usage, and disk utilization. By creating custom visualizations and dashboards, participants learn to monitor metrics, detect anomalies, and proactively address performance issues.
The project also covers setting up automated alerts and notifications based on custom thresholds. This enables users to respond promptly to deviations in system health, improving performance, stability, and operational efficiency.
Participants learn metric monitoring and trend analysis, configure Kibana with Metricbeat, build dashboards, evaluate long-term trends, and implement proactive alerts to maintain system health.

Project on Kibana: Super Market Sales Analysis

In this final project, participants apply business intelligence skills by analyzing supermarket sales data in Kibana. They start by importing the dataset and configuring index patterns to prepare for analysis. Using Kibana’s visualization tools, learners assess sales performance by product category, location, and timeframe. This approach helps identify best-selling items, reveal sales trends, and compare regional performance.
Participants create interactive dashboards that turn raw data into actionable insights, supporting informed decisions in inventory planning, promotions, and business optimization. These dashboards highlight opportunities to increase revenue, improve product availability, and enhance operational efficiency.
The project includes loading sales data, setting up index patterns, analyzing performance by category and region, and building dashboards to highlight trends, compare store metrics, and identify top products. These insights support improved marketing, inventory management, and strategic planning.
Together, these projects give learners practical experience using Kibana to analyze diverse datasets and extract valuable insights. Both new and experienced participants gain hands-on skills for applying Kibana in real business situations.

Requirements

  • Operating System Knowledge: Experience using Windows, Linux, or macOS for installation and system configuration tasks.
  • Basic Command Line Skills: Ability to run simple commands using a terminal or command-line interface.
  • Computer System Requirements: A computer with sufficient processing power and a minimum of 8GB RAM to support Elastic Stack installation and operation.
  • Learning Mindset: Willingness to explore, experiment with, and adapt to new technologies.
  • Foundational Data Analysis Understanding:Familiarity with basic data analysis methods and concepts.
  • Web and Internet Metrics Awareness: General understanding of web browser functionality and interpretation of online usage metrics.
  • System Monitoring Knowledge: Basic knowledge of system performance indicators and monitoring practices.
  • Business and Sales Analysis Fundamentals: Basic understanding of business operations and sales data evaluation.
  • Comfort with Visualization Tools: Ability to use data visualization platforms effectively.
  • Software Configuration Skills: Basic experience setting up and configuring software used for data analysis.
  • Hands-On Learning Approach: Willingness to engage in practical exercises and analyze real datasets to gain insights.

Target Audience

  • Data analysts and data scientists aiming to strengthen their expertise in visualization and analytical workflows using Kibana.
  • IT teams responsible for monitoring infrastructure performance who want to utilize Kibana for real-time system and metric insights.
  • Business analysts and sales leaders are seeking to interpret sales data more effectively and support strategic decision-making through Kibana’s visualization features.
  • Web developers and UX/UI professionals interested in analyzing user interactions, engagement trends, and browsing behavior through Kibana’s analytics tools.
  • Students and working professionals who want to broaden their skill set in data analysis and visualization platforms for career growth or personal learning.
  • Software developers are exploring tools that support data-driven development and monitoring.
  • Data analysts are looking to improve the clarity and impact of their insights through visual storytelling.
  • Managers and decision-makers need intuitive dashboards to quickly and effectively interpret data.