DATA-VISUAL.AV1

Data Visualization Made Simple

Discover easy techniques to make your data visually meaningful and actionable with our data visualization course.

  • Practice in 15 Hands-On Labs — nothing to install
  • 10 Interactive Lessons and 52 topics mapped to the official exam objectives
  • 88 Practice Test Questions

Intermediate Self-paced · 1 year access

15 Hands-On LiveLabs

Practice real IT tasks in guided environments.

  • Real environments
  • Auto-graded
  • No installation
10Interactive Lessons
52Topics
15LiveLab
88Practice Test Questions
68Flashcards
68Glossary of terms

01 / Skills you'll get

What you will be able to do

This course teaches you how to transform raw data into clear and engaging visuals. You’ll learn to create charts, graphs, and interactive dashboards that help you tell data-driven stories. Whether you’re a beginner or have some experience, this course covers essential techniques in visualizing data, using easy-to-navigate tools and best practices. By the end, you’ll be able to present complex information in a way that is visually appealing and simple to understand, perfect for business reports, presentations, and data analysis projects.
  • Create charts and graphs to communicate key data insights 
  • Design interactive dashboards to engage your audience in real-time 
  • Create compelling data stories to make complex information easier to digest and more persuasive 
  • Select the best charts or graphs visualization to accurately represent your data 
  • Clean, categorize, and manage your data to reduce errors and improve presentation quality 
  • Learn design principles to make your visuals not only attractive but also highly informative and user-friendly 
  • Present data in a clear way that communicates accurate information to decision-makers and stakeholders 

Course Highlights

  • 10 Structured Lessons Comprehensive coverage of core course objectives
  • 15 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
  • 88 Practice Questions Assessment tests with detailed answer rationales
  • 1 Year Full Access Self-paced learning accessible anytime on all devices

02 / Lessons & labs

See exactly what you will learn and practice

Download outline (PDF)

Lessons

10 Interactive Lessons · 52 topics
01 Preface
02 Becoming Visual 6 topics · 2 LiveLab
  • What Is Data Visualization?
  • Who Are Visualization Designers and What Do They Do?
  • Why Use Data Visualization?
  • How Do You Incorporate the Visualization Process Into Practice?
  • Exercises
  • Icons

2 LiveLab in this lesson — see the labs panel →

03 The Tools 6 topics · 1 LiveLab
  • Basic Productivity Applications
  • Visualization Software
  • Business Intelligence Tools
  • Programming Packages
  • A Criteria for Selecting Tools to Build Data Graphics
  • Exercises

1 LiveLab in this lesson — see the labs panel →

04 The Graphics 10 topics · 6 LiveLab
  • Comparisons of Categories and Time
  • Distributions
  • Proportions
  • Relationships
  • Locations
  • Trends—Showing Comparisons Over Time or Composition Over Time
  • Word Frequency and Sentiment
  • Connections and Networks
  • Chart Interface
  • Exercises

6 LiveLab in this lesson — see the labs panel →

05 The Data 6 topics · 2 LiveLab
  • Understand Your Data
  • Preparing Your Data
  • Compute Descriptive Statistics
  • Explore the Data Visually
  • Devise the Problem, Challenge, and/or Questions
  • Exercises

2 LiveLab in this lesson — see the labs panel →

Hands-On Labs Our edge

15 LiveLabs
  • Creating a Word Cloud
  • Analyzing Sales Data Using Clustered Column Chart
  • Creating a Radar Chart
  • Comparing Categories over Time Using Bar Chart
  • Analyzing Distributions through Histogram
  • Displaying Proportions Using Pie Chart
Labs run in your browser — nothing to install.

03 / FAQs

Questions before you start

Contact us ↗
What is data visualization?
Data visualization is the process of using charts, graphs, and visuals to represent data in order to make it easier to understand and analyze complex information.
What is the difference between static and interactive visualizations?
Status visualization is fixed visuals, like charts or graphs in a report, while interactive visualizations allow users to explore the data, filter information, and generate deeper insights.
Do I need any prior experience to take this course?
No prior experience is needed. This is a data visualization for beginners course, designed to teach you everything from the basics to more advanced techniques.
How can this course help in my career?
By taking this data visualization course online, you’ll gain valuable skills in presenting data effectively, which is highly sought after by various industries. Learning data visualization online will make you more competitive in fields like business analysis, marketing, and data science.

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Represent Your Data Accurately

Join our data visualization course to learn how to tell data stories through accurate and interactive visualizations.

  • 1 year of full access
  • 15 LiveLab included
  • Certificate of completion
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