[align=center]Complete Guide To Data Visualization With Kibana
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.23 GB | Duration: 1h 51m
Discover Elasticsearch Data Visualization Mastery: Learn Kibana for creating Visualizations, and build amazing Dashboard[/center]
What you'll 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
Requirements
Basic Elasticsearch experiment needed
Description
Welcome to the Complete Guide to Data Visualization with Kibana 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
Overview
Section 1: Setting Up Your Environment
Lecture 1 Installing Elasticsearch and Kibana on Windows
Lecture 2 Installing Elasticsearch and Kibana on Windows - Article
Lecture 3 Installing Elasticsearch and Kibana on Linux - Article
Lecture 4 Installing Elasticsearch and Kibana on Mac - Article
Section 2: Elasticsearch architecture
Lecture 5 Elasticsearch Terms & Structure
Lecture 6 Elasticsearch Terms & Structure - Article
Lecture 7 Elasticsearch field types
Lecture 8 Elasticsearch field types - Article
Lecture 9 Working with Dev Tools
Section 3: Add Sample Data to Kibana
Lecture 10 Add Sample Data using 'Try sample data'
Lecture 11 Add Sample Data from Machine Learning
Lecture 12 Understanding the Data before Visualizations
Section 4: Discover
Lecture 13 Discover - Intro
Lecture 14 See logs during time
Lecture 15 Document Statistics
Lecture 16 Filtering documents
Lecture 17 Saving Documents To csv
Lecture 18 Saving Queries
Section 5: Visualizations
Lecture 19 Visualizations - Intro
Lecture 20 Area
Lecture 21 Data Table
Lecture 22 Heat Map
Lecture 23 Line
Lecture 24 Metric
Lecture 25 Horizontal Bar
Lecture 26 Pie
Lecture 27 Vertical Bar
Lecture 28 Lens
Lecture 29 Text
Lecture 30 Input Controls
Section 6: Maps
Lecture 31 Maps - Intro
Lecture 32 Basics concepts
Lecture 33 Map Documents
Lecture 34 Cluster Map
Section 7: Dashboards
Lecture 35 Introductions of Dashboards
Lecture 36 Create Dashboards
Lecture 37 Add text and controls
Lecture 38 Add graphs
Lecture 39 Filtering Visualizations
Lecture 40 Save Data from Graphs
Section 8: Kibana Management
Lecture 41 Stack Managment
Lecture 42 Spaces
Lecture 43 Spaces, Roles and Users - Aritcle
Section 9: Conclusion
Lecture 44 Course Recap and Key Takeaways
Lecture 45 Staying Up-to-Date and Continuing Your Data Visualizations Journey
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.
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