3D Data Visualization for Science Communication

  • 0.0
Approx. 32 hours to complete

Course Summary

Learn how to effectively communicate your data through visualizations in this course. You'll explore various visualization types and techniques, as well as how to choose the right one for your data and audience.

Key Learning Points

  • Learn to tell a story with your data through effective visualizations
  • Explore different types of visualizations and when to use them
  • Understand the importance of audience and context in data communication

Job Positions & Salaries of people who have taken this course might have

    • USA: $77,000
    • India: ₹1,200,000
    • Spain: €35,000
    • USA: $77,000
    • India: ₹1,200,000
    • Spain: €35,000

    • USA: $70,000
    • India: ₹1,000,000
    • Spain: €30,000
    • USA: $77,000
    • India: ₹1,200,000
    • Spain: €35,000

    • USA: $70,000
    • India: ₹1,000,000
    • Spain: €30,000

    • USA: $50,000
    • India: ₹700,000
    • Spain: €25,000

Related Topics for further study


Learning Outcomes

  • Learn to choose the right visualization for your data and audience
  • Develop skills to create effective visualizations that tell a story
  • Understand the importance of context and audience in data communication

Prerequisites or good to have knowledge before taking this course

  • Basic understanding of data analysis
  • Familiarity with tools such as Excel or Google Sheets

Course Difficulty Level

Intermediate

Course Format

  • Self-paced
  • Online

Similar Courses

  • Data Visualization with Tableau
  • Data Visualization and Communication with Tableau

Related Education Paths


Notable People in This Field

  • Alberto Cairo
  • Cole Nussbaumer Knaflic

Related Books

Description

This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences. You will develop visualization literacy, through being able to interpret/analyze (read) visualizations and create (write) your own visualizations.

Outline

  • Course Orientation
  • Welcome to 3D Scientific Data Visualization!
  • Syllabus
  • About the Discussion Forums
  • Updating Your Profile
  • Social Media
  • Orientation Quiz
  • Week 1: Introduction
  • Introduction to Scientific Visualization
  • Visualization Pipeline
  • Computational Science
  • Computer Graphics
  • Rendering
  • Moving Pictures
  • Critiquing Visualization
  • Data and Visualization Ethics
  • Week 1 Quiz 1: What Is Visualization?
  • Week 1 Quiz 2: Components of Scientific Visualization
  • Week 1 Quiz 3: What Makes a Good Visualization?
  • Week 2: Data
  • Virtual Coordinates
  • 3D Geometry
  • Data Representation
  • Finding and Using Data
  • Computational Resources
  • Optimization
  • Software
  • Transformations and Attributes
  • Programming
  • Week 2 Quiz 1: What Scientific Data Looks Like
  • Week 2 Quiz 2: Working with Data
  • Week 2 Quiz 3: How to Approach Loading Data into a New Tool
  • Week 2 Hands On Assignment: Part 1
  • Week 3: Meaningful Communication
  • Storytelling
  • Education
  • Color
  • Vision and Cameras
  • Driving Visual Features with Data
  • Abstraction and Representation
  • Data Artifacts
  • Previsualization
  • Derived Data
  • Week 3 Quiz 1: Understanding Humans
  • Week 3 Quiz 2: Designing for Human Perception
  • Week 3 Quiz 3: Refining Data
  • Week 4: Cinematic Presentation
  • Camera Design
  • Display Environments
  • Lighting
  • Designing Around the Data
  • Image Artifacts
  • Editing and Compositing
  • Narration and Sound
  • Packaging and Distribution
  • Week 4 Quiz 1: Action, Camera, Lights!
  • Week 4 Quiz 2: Digital Cosmetics
  • Week 4 Quiz 3: Finishing Touches
  • Conclusion
  • Closing
  • Course Credits

Summary of User Reviews

Learn about data visualization and science communication through this highly rated Coursera course. Users rave about the course's comprehensive content and engaging instructors. Many users appreciate the course's focus on practical applications of data visualization.

Key Aspect Users Liked About This Course

Practical applications of data visualization

Pros from User Reviews

  • Comprehensive content
  • Engaging instructors
  • Practical applications of data visualization
  • Hands-on assignments
  • Opportunities to learn from peers

Cons from User Reviews

  • Some users found the course challenging
  • Certain concepts can be difficult to grasp
  • Some users felt that the course lacked depth
  • Some users found the workload to be heavy
  • Not suitable for those without a basic understanding of data analysis
English
Available now
Approx. 32 hours to complete
Kalina Borkiewicz, AJ Christensen
University of Illinois at Urbana-Champaign
Coursera

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