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Data Visualization

Data Visualization

$198.00
When you get access:
Course access is prepared after purchase and delivered via email
How you learn:
Self-paced • Lifetime updates
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30-day money-back guarantee — no questions asked
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Trusted by professionals in 160+ countries
Toolkit Included:
Includes a practical, ready-to-use toolkit with implementation templates, worksheets, checklists, and decision-support materials so you can apply what you learn immediately - no additional setup required.
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What does the Data Visualization course cover?

Data Visualization is covered here in 8 modules: Introduction to Data Visualization: tools and software, Data Preparation and Cleaning: Understanding the importance of, Data Visualization Fundamentals: Exploring the different types of charts and graphs and 5 more. The outline lists 31 specific topics, opening with defining data visualization and its importance and closing with obtaining a certificate upon completion of the course.

How do you approach Data Visualization step by step?

The work is sequenced in 8 stages. It starts with Introduction to Data Visualization: tools and software, moves through Data Preparation and Cleaning: Understanding the importance of and Data Visualization Fundamentals: Exploring the different types of charts and graphs, and ends at Final Project and Assessment: Obtaining a certificate upon completion of the course.

What is in Module 1 of the Data Visualization course?

Module 1 is Introduction to Data Visualization: tools and software. It works through defining data visualization and its importance, understanding the different types of data visualization, exploring the benefits and challenges of data visualization and 1 more. It sets the vocabulary the remaining 7 modules build on.

How is the Data Visualization course delivered?

The Data Visualization course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Data Visualization course cost?

The Data Visualization course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Data Visualization Toolkit, Data Visualization in Big Data, Data Visualization in Data mining, Data Visualization Tools Toolkit.

More answers: what you get with every course, refund policy, all help answers.

Data Visualization Course Curriculum

Welcome to our comprehensive Data Visualization course, designed to equip you with the skills and knowledge needed to effectively communicate insights and trends in data. Upon completion of this course, participants will receive a certificate, demonstrating their expertise in data visualization.



Course Overview

This interactive and engaging course is carefully crafted to provide a personalized learning experience, with a focus on practical, real-world applications. Our expert instructors have curated high-quality content, ensuring that you receive the most up-to-date knowledge in the field. With flexible learning options and a user-friendly interface, you can access the course materials from anywhere, at any time, using your mobile device or computer.



Course Features

  • Interactive and engaging content
  • Comprehensive and personalized learning experience
  • Up-to-date and practical knowledge
  • Real-world applications and case studies
  • High-quality content, curated by expert instructors
  • Certificate upon completion
  • Flexible learning options, including mobile access
  • User-friendly interface and navigation
  • Community-driven discussion forums
  • Actionable insights and hands-on projects
  • Bite-sized lessons, designed for easy learning
  • Lifetime access to course materials
  • Gamification and progress tracking features


Course Outline

Module 1. Introduction to Data Visualization: tools and software

  • Defining data visualization and its importance
  • Understanding the different types of data visualization
  • Exploring the benefits and challenges of data visualization
  • Introduction to data visualization tools and software

Module 2. Data Preparation and Cleaning: Understanding the importance of

  • Understanding the importance of data preparation and cleaning
  • Learning data cleaning techniques and best practices
  • Handling missing data and data normalization
  • Introduction to data transformation and feature engineering

Module 3. Data Visualization Fundamentals: Exploring the different types of charts and graphs

  • Understanding the principles of visual perception and cognition
  • Learning the fundamentals of color theory and palette design
  • Exploring the different types of charts and graphs
  • Introduction to data visualization storytelling and narrative techniques

Module 4. Data Visualization Tools and Software: Learning the features and capabilities of each tool

  • Introduction to popular data visualization tools, including Tableau, Power BI, and D3.js
  • Learning the features and capabilities of each tool
  • Exploring the strengths and weaknesses of each tool
  • Hands-on practice with each tool, using real-world datasets

Module 5. Advanced Data Visualization Techniques: Hands-on practice with

  • Learning advanced data visualization techniques, including geospatial visualization and network analysis
  • Exploring the use of machine learning and artificial intelligence in data visualization
  • Introduction to data visualization for big data and IoT
  • Hands-on practice with advanced data visualization techniques

Module 6. Data Storytelling and Presentation: Hands-on practice with

  • Learning the art of data storytelling and narrative techniques
  • Understanding the importance of presentation and communication in data visualization
  • Exploring the different types of data visualization presentations, including reports, dashboards, and infographics
  • Hands-on practice with data storytelling and presentation

Module 7: Case Studies and Real-World Applications

  • Exploring real-world case studies and applications of data visualization
  • Learning from successful data visualization projects and initiatives
  • Understanding the challenges and limitations of data visualization in real-world settings
  • Hands-on practice with real-world datasets and case studies

Module 8. Final Project and Assessment: Obtaining a certificate upon completion of the course

  • Completing a final project, applying the skills and knowledge learned throughout the course
  • Receiving feedback and assessment from instructors and peers
  • Obtaining a certificate upon completion of the course
Join our Data Visualization course today and gain the skills and knowledge needed to effectively communicate insights and trends in data. With our comprehensive and interactive curriculum, you'll be well on your way to becoming a data visualization expert.

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