Complete Guide to Data Visualization with Kibana 8

Complete Guide to Data Visualization with Kibana 8, available at $54.99, has an average rating of 4.2, with 46 lectures, 3 quizzes, based on 21 reviews, and has 1207 subscribers.

You will learn about Fundamentals of data visualization and best practices for effective visual storytelling. Utilization of Kibana's advanced features, such as machine learning, maps, and Canvas. Creation of various Kibana visualizations, including bar charts, line charts, pie charts, and more. Development of interactive dashboards for effective data presentation and communication. Best practices for optimizing Kibana performance, security, and scalability. Working with Dev Tools Installing Installation and configuration of Kibana for data visualization and exploration and kibana Examining and finding data such as logs Integration of Kibana with Elasticsearch and other Elastic Stack components. Familiarization with Kibana's user interface and navigation of its various features. Techniques for ingesting, indexing, and transforming data in Kibana for visualization purposes. Real-world use cases and practical applications of Kibana in different industries and domains This course is ideal for individuals who are Data analysts seeking to enhance their skills in data visualization and dashboard creation. or Elasticsearch users who want to leverage Kibana for data exploration and visualizations. or Data scientists looking to integrate Kibana into their data analysis workflows. or Business intelligence professionals interested in adding Kibana to their analytics toolbox. or Developers working with Elasticsearch who want to improve data presentation and reporting. or IT professionals responsible for monitoring and visualizing log data or system metrics. or Product managers and decision-makers requiring data-driven insights and visualizations. or Data-driven organizations aiming to adopt Kibana for improved data analysis capabilities. or Students studying data analytics, data science, or business intelligence courses. or Anyone interested in learning about Kibana's features for data visualization and dashboard development. It is particularly useful for Data analysts seeking to enhance their skills in data visualization and dashboard creation. or Elasticsearch users who want to leverage Kibana for data exploration and visualizations. or Data scientists looking to integrate Kibana into their data analysis workflows. or Business intelligence professionals interested in adding Kibana to their analytics toolbox. or Developers working with Elasticsearch who want to improve data presentation and reporting. or IT professionals responsible for monitoring and visualizing log data or system metrics. or Product managers and decision-makers requiring data-driven insights and visualizations. or Data-driven organizations aiming to adopt Kibana for improved data analysis capabilities. or Students studying data analytics, data science, or business intelligence courses. or Anyone interested in learning about Kibana's features for data visualization and dashboard development.

Enroll now: Complete Guide to Data Visualization with Kibana 8

Summary

Title: Complete Guide to Data Visualization with Kibana 8

Price: $54.99

Average Rating: 4.2

Number of Lectures: 46

Number of Quizzes: 3

Number of Published Lectures: 46

Number of Published Quizzes: 3

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 49

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals of data visualization and best practices for effective visual storytelling.
Utilization of Kibana's advanced features, such as machine learning, maps, and Canvas.
Creation of various Kibana visualizations, including bar charts, line charts, pie charts, and more.
Development of interactive dashboards for effective data presentation and communication.
Best practices for optimizing Kibana performance, security, and scalability.
Working with Dev Tools
Installing Installation and configuration of Kibana for data visualization and exploration and kibana
Examining and finding data such as logs
Integration of Kibana with Elasticsearch and other Elastic Stack components.
Familiarization with Kibana's user interface and navigation of its various features.
Techniques for ingesting, indexing, and transforming data in Kibana for visualization purposes.
Real-world use cases and practical applications of Kibana in different industries and domains

Who Should Attend

Data analysts seeking to enhance their skills in data visualization and dashboard creation.
Elasticsearch users who want to leverage Kibana for data exploration and visualizations.
Data scientists looking to integrate Kibana into their data analysis workflows.
Business intelligence professionals interested in adding Kibana to their analytics toolbox.
Developers working with Elasticsearch who want to improve data presentation and reporting.
IT professionals responsible for monitoring and visualizing log data or system metrics.
Product managers and decision-makers requiring data-driven insights and visualizations.
Data-driven organizations aiming to adopt Kibana for improved data analysis capabilities.
Students studying data analytics, data science, or business intelligence courses.
Anyone interested in learning about Kibana's features for data visualization and dashboard development.

Target Audiences

Data analysts seeking to enhance their skills in data visualization and dashboard creation.
Elasticsearch users who want to leverage Kibana for data exploration and visualizations.
Data scientists looking to integrate Kibana into their data analysis workflows.
Business intelligence professionals interested in adding Kibana to their analytics toolbox.
Developers working with Elasticsearch who want to improve data presentation and reporting.
IT professionals responsible for monitoring and visualizing log data or system metrics.
Product managers and decision-makers requiring data-driven insights and visualizations.
Data-driven organizations aiming to adopt Kibana for improved data analysis capabilities.
Students studying data analytics, data science, or business intelligence courses.
Anyone interested in learning about Kibana's features for data visualization and dashboard development.

Welcome to the Complete Guide to Data Visualization with Kibana 8 Course!

A comprehensive course designed to empower you with the skills and knowledge needed to create stunning data visualizations, and interactive dashboards, and uncover hidden insights using Kibana, the powerful data visualization tool from the Elastic Stack.

In today’s data-driven world, the ability to effectively visualize and communicate information is paramount. This course will take you on a journey through the world of data visualization, starting with the fundamentals and best practices, and progressing to advanced techniques and real-world use cases. By the end of this course, you will have a thorough understanding of Kibana and be able to confidently create visually engaging dashboards and visualizations that convey meaningful insights.

Throughout this course, you will:

Learn the core concepts and principles of data visualization, including visual storytelling, chart types, and effective communication.
Get hands-on experience with Kibana, its interface, and its various features by working through practical examples and exercises.
Understand how to ingest, index, and transform data in Kibana to create powerful visualizations and dashboards.
Explore a wide range of Kibana visualizations, from simple bar charts and line charts to complex heatmaps and geospatial visualizations.
Develop interactive dashboards that provide valuable insights, enabling data-driven decision-making for your organization.
Dive into Kibana’s advanced features, such as machine learning, maps, Canvas, and more, to further enhance your data analysis skills.
Integrate Kibana with Elasticsearch and other components of the Elastic Stack to create a complete data analysis and visualization solution.
Learn best practices for optimizing Kibana’s performance, security, and scalability in real-world scenarios.
Gain insights into practical applications of Kibana across various industries, such as finance, healthcare, e-commerce, and more.

This course is designed for data analysts, data scientists, business intelligence professionals, developers, and anyone interested in learning about Kibana and data visualization. Whether you are new to Kibana or have some experience, this course will provide you with a solid foundation and the tools needed to succeed in the world of data visualization.

Join me in this exciting journey through the world of data visualization with Kibana, and unlock the full potential of your data analysis skills. Enroll today and start transforming the way you analyze and visualize data!

Idan Chen

Course Curriculum

Chapter 1: Setting Up Your Environment

Lecture 1: Introduction and Course Overview

Lecture 2: Installing Elasticsearch and Kibana on Windows

Lecture 3: Installing Elasticsearch and Kibana on Windows – Article

Lecture 4: Installing Elasticsearch and Kibana on Linux – Article

Lecture 5: Installing Elasticsearch and Kibana on Mac – Article

Chapter 2: Elasticsearch architecture

Lecture 1: Elasticsearch Terms & Structure

Lecture 2: Elasticsearch Terms & Structure – Article

Lecture 3: Elasticsearch field types

Lecture 4: Elasticsearch field types – Article

Lecture 5: Working with Dev Tools

Chapter 3: Add Sample Data to Kibana

Lecture 1: Add Sample Data using 'Try sample data'

Lecture 2: Add Sample Data from Machine Learning

Lecture 3: Understanding the Data before Visualizations

Chapter 4: Discover

Lecture 1: Discover – Intro

Lecture 2: See logs during time

Lecture 3: Document Statistics

Lecture 4: Filtering documents

Lecture 5: Saving Documents To csv

Lecture 6: Saving Queries

Chapter 5: Visualizations

Lecture 1: Visualizations – Intro

Lecture 2: Area

Lecture 3: Data Table

Lecture 4: Heat Map

Lecture 5: Line

Lecture 6: Metric

Lecture 7: Horizontal Bar

Lecture 8: Pie

Lecture 9: Vertical Bar

Lecture 10: Lens

Lecture 11: Text

Lecture 12: Input Controls

Chapter 6: Maps

Lecture 1: Maps – Intro

Lecture 2: Basics concepts

Lecture 3: Map Documents

Lecture 4: Cluster Map

Chapter 7: Dashboards

Lecture 1: Introductions of Dashboards

Lecture 2: Create Dashboards

Lecture 3: Add text and controls

Lecture 4: Add graphs

Lecture 5: Filtering Visualizations

Lecture 6: Save Data from Graphs

Chapter 8: Kibana Management

Lecture 1: Stack Managment

Lecture 2: Spaces

Lecture 3: Spaces, Roles and Users – Aritcle

Chapter 9: Conclusion

Lecture 1: Course Recap and Key Takeaways

Lecture 2: Staying Up-to-Date and Continuing Your Data Visualizations Journey

Instructors

‪Idan Chen‬‏
Senior python developer

Rating Distribution

1 stars: 2 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 6 votes
5 stars: 11 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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