Overview of Course

Kibana Data Analysis Training is a comprehensive course that equips learners with the skills to visualize and analyze data with Kibana. The course covers data visualization techniques, creating visualizations and dashboards, and data analysis using Kibana.

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Course Highlights

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Learn to visualize and analyze data with Kibana

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Gain hands-on experience in creating visualizations and dashboards

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Understand various data visualization techniques




Key Differentiators

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    Personalized Learning with Custom Curriculum

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    Flexible Schedule & Delivery

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    Security & privacy are an integral part of our training ethos

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    Real-world Projects

    We work with experts to curate real business scenarios as training projects

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Skills You’ll Learn

#1

Data visualization techniques

#2

Creating visualizations and dashboards

#3

Data analysis with Kibana

Training Options

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1-on-1 Training

On Request
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews

Curriculum

  • Introduction to Kibana and its features
  • Overview of Kibana architecture and data sources
  • Creating basic visualizations and dashboards in Kibana

  • Understanding the importance of data visualization
  • Best practices for designing effective visualizations
  • Role of an expert in data visualization and analysis

  • Understanding how data is indexed in Elasticsearch
  • Managing and maintaining indexed content in Kibana
  • Using filters and queries to retrieve specific data sets

  • Techniques for data modification and transformation in Kibana
  • Using script fields and Painless scripting to transform data
  • Creating custom visualizations using Vega and Canvas in Kibana

  • Configuring access controls and authentication in Kibana
  • Understanding Kibana security features and best practices
  • Setting up Kibana with Elasticsearch and Logstash

  • Understanding data clusters and their role in Kibana
  • Creating and configuring dashboards in Kibana
  • Using Kibana's advanced analytics and machine learning features

  • Using Kibana to monitor and manage data in real-time
  • Understanding Kibana's security features and best practices
  • Configuring alerts and notifications in Kibana
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Description

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Target Audience:

  • Data analysts
  • Business analysts
  • Data scientists
  • Developers
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Prerequisite:

  • Basic understanding of data analysis and visualization concepts
  • Familiarity with Elasticsearch is preferred, but not required
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Benefits of the course:

  • Learn to visualize and analyze data with Kibana
  • Gain hands-on experience in creating visualizations and dashboards
  • Understand various data visualization techniques
  • Learn to perform data analysis with Kibana
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Exam details to pass the course:

  • There is no exam to pass the course.
  • Learners will receive a certificate of completion after finishing the course.
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Certification path:

  • There is no specific certification path for Kibana Data Analysis Training.
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Career options:

  • Data analyst
  • Business analyst
  • Data scientist
  • Developer

Why should you take this course from Skillzcafe:

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Why should you take this course from Skillzcafe:
  • Bullet Icon Industry-expert instructors
  • Bullet Icon Hands-on training with real-world examples
  • Bullet Icon Flexible learning options
  • Bullet Icon Course completion certificate

FAQs

This course is can be found in self-paced as well as instructor led

While a basic understanding of data analysis and visualization concepts is recommended, there are no prerequisites for taking this course.

Our instructors are available to provide support and guidance throughout the course via email and discussion forums.

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