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Data Visualization

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

(DATA-VISUAL.AV1) / ISBN : 978-1-64459-607-4
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About This Course

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.

Skills You’ll Get

  • 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 

Download Course Outline

1

Preface

2

Becoming Visual

  • 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
3

The Tools

  • Basic Productivity Applications
  • Visualization Software
  • Business Intelligence Tools
  • Programming Packages
  • A Criteria for Selecting Tools to Build Data Graphics
  • Exercises
4

The Graphics

  • 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
5

The Data

  • Understand Your Data
  • Preparing Your Data
  • Compute Descriptive Statistics
  • Explore the Data Visually
  • Devise the Problem, Challenge, and/or Questions
  • Exercises
6

The Design

  • Design Standards
  • Design Standards Checklist
  • Exercises
7

The Audience

  • Optimize Your Data Story
  • Strategies for Maximizing Retention and Minimizing Overload
  • Communicate the Key Message
  • Exercises
8

The Presentation

  • Using Presentation Software
  • Designing Slide Presentations With Visualizations
  • Testing Your Presentation
  • Delivering Presentations
  • Common Presentation Pitfalls
  • After Your Presentation
  • Presentation Checklist
  • Exercise
9

The Cases

  • Can Twitter predict the outcome of the U.S. presidential election?-Andrew Hamlet
  • Can you predict the success of a startup?-Prasant Sudhakaran
  • Reporting on project status-Adam Gonthier
  • Identifying gaming behavior through analytics-Harry Chernoff
  • Exploring the openings and closings of NYC schools-Reshama Shaikh and Riyaz Shaikh
  • Wrap Up
10

The End

  • Your Visual Habits
  • Archetypes
  • Keep Visualizing, Keep Learning, and Keep in Touch

1

Becoming Visual

  • Creating a Word Cloud
  • Analyzing Sales Data Using Clustered Column Chart
2

The Tools

  • Creating a Radar Chart
3

The Graphics

  • Comparing Categories over Time Using Bar Chart
  • Analyzing Distributions through Histogram
  • Displaying Proportions Using Pie Chart
  • Displaying Relationships Using Scatterplot
  • Displaying Locations Using Choropleth
  • Showing Comparisons over Time through a Line Chart
4

The Data

  • Exploring Data through Boxplot
  • Visualizing Bike Rental Trends
5

The Design

  • Removing Chart Junks
6

The Audience

  • Creating Visualizations to Analyze Bike Rentals
7

The Presentation

  • Redesigning the Slides
8

The End

  • Creating an Archetype for a Stacked Area Chart

Any questions?
Check out the FAQs

Got questions? Read our FAQs for more details on the data visualization training course.

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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.

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.

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.

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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