NYU - Information Visualization: Foundations
- Offered byCoursera
Information Visualization: Foundations at Coursera Overview
Duration | 12 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Information Visualization: Foundations at Coursera Highlights
- 50% started a new career after completing these courses.
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Information Visualization: Foundations at Coursera Course details
- 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.
- This course aims at introducing fundamental knowledge for information visualization. The main goal is to provide the students with the necessary ?vocabulary? to describe visualizations in a way that helps them reason about what designs are appropriate for a given problem. This module also gives a broad overview of the field of visualization, introducing its goals, methods and applications.
- A learner with some or no previous knowledge in Information Visualization will get a sense of what visualization is, what it is for and in how many different situations it can be applied; will practice to describe data in a way that is useful for visualization design; will familiarize with fundamental charts to talk about the concept of visual encoding and decoding.
Information Visualization: Foundations at Coursera Curriculum
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
Information Visualization: Foundations at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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