Exploring Data: Visualization Training
|Commitment||2 days, 7-8 hours a day.|
|How To Pass||Pass all graded assignments to complete the course.|
|User Ratings||Average User Rating 4.8 See what learners said|
|Delivery Options||Instructor-Led Onsite, Online, and Classroom Live|
Exploring Data: Visualization Training Course – Hands-on
Visualization of data has become a mainstay in everyday life. Whether reading the newspaper or presenting view graphs to the board of directors, professionals are expected to be able to interpret and apply basic visualization techniques. Technical workers, engineers and scientists, need to have an even greater understanding of visualization techniques and methods. In general, though, the basic concepts of understanding the purposes of visualization, the building block concepts of visual perception, and the processes and methods for creating good visualizations are not required even in most technical degree programs. Exploring Data: Visualization Training provides a “Visualization in a Nutshell” overview that provides the building blocks necessary for effective use of visualization.
Exploring Data: Visualization Training Course – Customize it
- We can adapt this training course to your group’s background and work requirements at little to no added cost.
- If you are familiar with some aspects of this training course, we can omit or shorten their discussion.
- We can adjust the emphasis placed on the various topics or build the training around the mix of technologies of interest to you (including technologies other than those included in this outline).
- If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the training course in manner understandable to lay audiences.
Exploring Data: Visualization Training Course – Audience/Target Group
The target audience for this training course:
Exploring Data: Visualization Training Course – Objectives:
Upon completing this training course, learners will be able to meet these objectives:
- Decision support techniques: which type of visualization is appropriate
- Appropriate visualization techniques for the spectrum of data types
- Cross-discipline visualization methods and “tricks”
- Leveraging color in visualizations
- Use of data standards and tools
- Capabilities of visualization toolsThis course is intended to provide a survey of information and techniques to students, giving them the basics needed to improve the ways they understand, access, and explore data.
Exploring Data: Visualization Training – Course Content
- Why Visualization?
- The Purposes for Visualization: Evaluation, Exploration, Presentation
- Why Visualization?
Basics of Data
- Data Elements – Values, Locations, Data Types, Dimensionality
- Data Structures – Tables, Arrays, Volumes
- Data – Univariate, Bivariate, Multi-variate
- Data Relations – Linked Tables
- Data Systems
- Metadata – Vs. Data, Types, Purpose
- Purposes – Evaluation, Exploration, Presentation
- Editorializing – Decision Support
- Basics – Textons, Perceptual Grouping
- Visualizing Column Data – Plotting Methods
- Visualizing Grids
- Images, Aspects of Images, Multi-Spectral Data
- Manipulation, Analysis, Resolution, Intepolation
- Color – Perception, Models, Computers and Methods
- Visualizing Volumes – Transparency, Isosurfaces
- Visualizing Relations – Entity-Relations & Graphs
- Visualizing Polygons – Wireframes, Rendering, Shading
- Visualizing the World – Basic Projections, Global, Local
- N-dimensional Data – Perceiving Many Dimensions
- Exploration Basics – Linking, Perspective and Interaction
- Mixing Methods to Show Relationships
- Manipulating Viewpoint – Animation, Brushing, Probes
- Highlights for Improving Presentation Visualizations
- Color, Grouping, Labeling, Clutter
Tools for Visualization
- APIs & Libraries
- Development Enviroments
- Which Tool?
- User Interfaces
A Survey of Data Tools
- Shareware & Freeware
Web Browser-based Visualization
- Intro –Why Visualize on the Web
- Data Driven Documents D3.js: Web Standards: Foundation of D3 (HTML, SVG, CSS, JS, DOM)
- Demos and Examples
- Code Walk-through
- Other Web Tools
- Demos and Coding