CF

Data Visualization with Kibana

5h 16m 55s
English
Paid

Data Visualization with Kibana is a 56-lesson 5 hours 16 minutes self-paced course by Udemy. Are you a software developer looking to master Kibana?

Course facts

Lessons
56
Duration
5 hours 16 minutes
Level
All levels
Language
English
Updated
Instructor
Udemy
Price
Premium

Are you a software developer looking to master Kibana? Then look no further — you have come to the right place! This course is the ultimate resource for quickly learning Kibana and applying your skills within just a few hours. Forget about sifting through countless YouTube tutorials, webinars, and blog posts; this course is your one-stop solution to becoming proficient in Kibana. It is, by far, the most comprehensive course on Kibana you will find!

Why Learn Kibana?

Kibana is a key component of the ELK stack (Elasticsearch, Logstash, and Kibana) and the Elastic Stack. Often regarded as the window into Elasticsearch, Kibana allows you to visualize data stored within an Elasticsearch cluster. From running ad hoc queries, creating visualizations such as line and pie charts, to displaying data on dashboards — Kibana offers a user-friendly interface for interacting with your data. This makes it significantly easier to analyze data compared to manually writing Elasticsearch queries. It also supports efficient data slicing and dicing without losing context, proving to be an excellent tool for data analysis, exploration, and investigation.

Dashboards and Data Monitoring

Dashboards in Kibana are an integral feature, allowing users to compile relevant data overviews for themselves and their teams. For example, you could create tailored dashboards for sales departments and software engineering teams. Additionally, Kibana is widely used for data monitoring, particularly in observability contexts. Using Kibana with the Elastic Stack for observability enables insights into application performance (APM), service uptime monitoring, hardware and service utilization, among other aspects.

Other Applications of Kibana

Apart from monitoring, Kibana is commonly utilized in security analysis and managing machine learning jobs. With its robust capabilities, Kibana is an incredibly powerful tool for visualizing, analyzing, and monitoring Elasticsearch data.

Who teaches Data Visualization with Kibana? Udemy

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Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.

Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

What lessons are included in Data Visualization with Kibana?

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#1: Introduction to the course
All Course Lessons (56)
#Lesson TitleDurationAccess
1
Introduction to the course Demo
05:31
2
Introduction to Kibana
04:09
3
Overview of installation options
02:43
4
Running Elasticsearch & Kibana in Elastic Cloud
05:42
5
Installing Kibana on macOS and Linux
04:00
6
Activating trial license
02:09
7
Console tool
03:42
8
Adding index templates
04:55
9
Importing test data
06:03
10
Introduction to the test data
08:50
11
Creating index patterns
07:13
12
Overview of apps
15:44
13
Setting the time filter
03:46
14
Kibana Query Language (KQL)
09:21
15
Discover app
12:46
16
Saving queries
03:19
17
Inspecting requests
02:28
18
How Kibana handles time zones
06:31
19
Changing Kibana’s time zone
02:35
20
Introduction to visualizations
01:13
21
Introduction to aggregations
04:11
22
Metric visualization
10:09
23
Formatting numbers
02:57
24
Vertical Bar
06:46
25
Area chart
06:04
26
Line chart
06:13
27
Changing the chart type
02:30
28
Pie chart
06:38
29
Splitting with KQL filters
03:49
30
Working with numeric ranges
02:38
31
Working with dynamic ranges (histograms)
07:59
32
Customizing visualizations
06:06
33
Data tables
09:31
34
Heat maps
09:00
35
Tag clouds
04:04
36
Goals & Gauges
09:02
37
Linking visualizations to saved searches
04:36
38
Applying saved queries to visualizations
01:49
39
Introduction to dashboards
01:40
40
Creating a dashboard
06:38
41
Editing visualizations
04:35
42
Filtering documents
01:52
43
Inspecting panels
02:11
44
Creating the access logs dashboard
02:38
45
Interactivity
04:38
46
Drilldowns
10:12
47
Introduction
01:22
48
Enabling security features
07:11
49
Introduction to spaces
09:05
50
Copying objects between spaces
10:11
51
Creating and managing users
03:29
52
Introduction to roles
06:32
53
Configuring privileges with custom roles
09:50
54
Combining space and role privileges
11:27
55
How role privileges are merged
05:20
56
Wrap up
01:22
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What courses are similar to Data Visualization with Kibana?

Frequently asked questions

What are the prerequisites for enrolling in this course?
This course is designed for software developers, so a basic understanding of software development and familiarity with data concepts is recommended. However, specific prior knowledge of Kibana or the Elastic Stack is not required, as the course covers fundamental concepts such as installation, using the Console tool, and creating visualizations.
What projects or skills will I be able to build by the end of the course?
By the end of the course, you will be able to create and manage Kibana dashboards and visualizations, such as line charts, pie charts, and data tables. You will also learn to use Kibana for data monitoring and ad hoc querying, as well as how to implement security features and manage user roles within Kibana.
Who is the target audience for this course?
The course is intended for software developers who want to gain proficiency in Kibana, particularly those interested in visualizing and analyzing data stored in an Elasticsearch cluster. It is suitable for individuals seeking to improve their data analysis skills using Kibana's user-friendly interface.
How does this course compare in depth and scope to other courses on Kibana?
This course offers a comprehensive exploration of Kibana, covering 56 lessons that span from basic installation to advanced topics like enabling security features and configuring custom roles. It provides detailed instruction on creating various types of visualizations and dashboards, making it more thorough compared to shorter courses or tutorials focused on specific Kibana functionalities.
What specific tools or platforms does the course cover?
The course covers Kibana as a component of the ELK Stack, specifically focusing on its integration with Elasticsearch. Lessons include running Elasticsearch and Kibana in Elastic Cloud, using the Kibana Query Language (KQL), and configuring Kibana's time zone settings. Additionally, the course addresses security features and user role management within Kibana.
What topics are not covered in this course?
The course does not delve into the installation or configuration of Elasticsearch or Logstash beyond what is necessary to run Kibana. It also does not cover in-depth data science techniques or the development of custom Kibana plugins, focusing instead on using Kibana's built-in functionalities for data visualization and dashboard creation.
What is the expected time commitment for completing this course?
While the exact runtime of the course is not specified, the course comprises 56 lessons, suggesting a significant investment of time to cover all materials thoroughly. Students should expect to spend several hours to complete the course, including time for hands-on practice with exercises such as creating visualizations and dashboards in Kibana.