Course Summary
Learn the fundamentals of information visualization, including principles, techniques, and tools to create effective visualizations.Key Learning Points
- Understand the principles of information visualization and how to apply them
- Learn about different types of visualizations and when to use them
- Explore tools and techniques for creating effective visualizations
Related Topics for further study
Learning Outcomes
- Ability to design and create effective visualizations
- Understanding of the principles of information visualization
- Knowledge of different types of visualizations and when to use them
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of data analysis and statistics
- Familiarity with Excel or other spreadsheet software
Course Difficulty Level
BeginnerCourse Format
- Self-paced
- Online
Similar Courses
- Data Visualization and Communication with Tableau
- Advanced Data Visualization
- Data Visualization with Python
Related Education Paths
Related Books
Description
The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on information visualization and to design and develop advanced applications for visual data analysis.
Outline
- Introduction to Information Visualization
- Introduction to the Specialization
- Introduction to the Course
- Information Visualization Definition
- Visualization Example: Introductory Demo with Tableau
- Key Concepts and Definitions
- The InfoVis pipeline (Diagram of Data Visualization Process)
- Key Concept: Computer Based Graphical Representations and Visualizing Abstract Data
- Key Concept: Interactivity
- Key Concept: Amplifying Cognition
- Example of Amplifying Cognition: "The Game of 15"
- Why Visualize Data?
- Why Use Visualization?
- Example of Explanatory Visualization
- Examples of Exploratory and Confirmatory Visualization
- Examples of Explanatory Visualizations and Tools
- Why Use a Graphical Representation?
- Problems with Summary Statistics
- Why Use Computers to Visualize Data?
- Why Use Interaction?
- Assessing the Quality of a Visualization
- A Tour Through the Visualization Zoo
- What is Information Visualization
- A Tour through the Visualization Zoo
- Data Abstraction
- Reflecting on Data
- What is Data Abstraction?
- Dataset Types: Tables and Networks
- Attribute Types
- Attribute Semantics
- Example for Attribute Types and Semantics
- Data Abstraction to Visualization
- Data Profiling
- Quick Recap
- Data Abstraction
- Identifying Attribute Types
- Fundamental Graphs and Data Transformation
- Overview: Fundamental Graphs and Data Transformation
- How to Visualize?
- Fundamental Graphs
- Alternate Representations Part 1
- Alternate Representations Part 2
- Going Beyond Two Attributes
- Scatter Plots + Faceting
- Data Transformation
- Common / Useful Data Transformations - Part 1
- Common / Useful Data Transformations - Part 2
- Summary
- Tutorial: The Tableau Interface
- Tutorial: Getting Started with Tableau
- Graphical Components and Mapping Strategies
- Overview: Graphical Components and Mapping Strategies
- Marks + Channels
- Marks
- Channels, Part 1
- Channels, Part 2
- Examples for Graphical Components
- Graphical "Decoding"
- Quality of visual encoding: Expressiveness Principle
- Quality of Visual Encoding: Effectiveness Principle, Part 1
- Quality of Visual Encoding: Effectiveness Principle, Part 2
- Evaluate Visualizations
- Using the Principles to Design Visualization
- Contextual Components: Legends, Labels, and Annotations
- Annotations
- Contextual Components: Axes, Grids, Reference Lines
- Quick Summary
- Conclusion
- Interview with Moritz Stefaner
- Evaluation of Artery Visualizations for Heart Disease Diagnosis
Summary of User Reviews
This course on information visualization fundamentals has received high praise from users. They have found the course to be engaging, informative, and well-structured. One key aspect that many users thought was good was the instructor's ability to break down complex concepts into easy-to-understand pieces.Pros from User Reviews
- Engaging and informative course content
- Well-structured and easy to follow
- Instructor breaks down complex concepts into easy-to-understand pieces
Cons from User Reviews
- Some users found the course to be too basic
- Lack of hands-on experience
- Limited interaction with other students
- Limited feedback from instructors
Enrico Bertini
4.5 Raiting
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