Information Visualization: Advanced Techniques
- 4.7
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Approx. 16 hours to complete
Course Summary
Learn advanced techniques in information visualization with this course. From creating interactive visualizations to incorporating machine learning, this course will take your skills to the next level.Key Learning Points
- Learn how to create interactive visualizations using D3.js
- Incorporate machine learning techniques into your visualizations
- Explore advanced techniques like network visualization and animation
Job Positions & Salaries of people who have taken this course might have
- Data Visualization Specialist
- USA: $70,000 - $140,000
- India: ₹600,000 - ₹2,000,000
- Spain: €30,000 - €60,000
- Information Designer
- USA: $50,000 - $120,000
- India: ₹400,000 - ₹1,800,000
- Spain: €24,000 - €50,000
- Data Analyst
- USA: $45,000 - $100,000
- India: ₹300,000 - ₹1,500,000
- Spain: €20,000 - €45,000
Related Topics for further study
Learning Outcomes
- Create interactive visualizations with D3.js
- Incorporate machine learning techniques into your visualizations
- Explore advanced visualization techniques like network visualization and animation
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of HTML, CSS, and JavaScript
- Experience with data visualization
Course Difficulty Level
AdvancedCourse Format
- Online
- Self-paced
Similar Courses
- Data Visualization and Communication with Tableau
- Applied Data Visualization with Python
- Introduction to Data Science in Python
Related Education Paths
Notable People in This Field
- Nathan Yau
- Alberto Cairo
Related Books
Description
This course aims to introduce learners to advanced visualization techniques beyond the basic charts covered in Information Visualization: Fundamentals. These techniques are organized around data types to cover advance methods for: temporal and spatial data, networks and trees and textual data. In this module we also teach learners how to develop innovative techniques in D3.js.
Outline
- Visualizing Geographical Data
- Introduction to Specialization
- What is Geographical Data?
- When / Why Use a Map?
- Maps are Not Always the Best or Only Solution!
- Dot Maps
- Heat Maps
- Hexbin Maps
- Choropleth Maps
- Graduated Symbol Maps
- Common Issues With Maps
- Insensitivity To Sample Size
- Skewed Spatial Distributions
- Perceptual Issues
- Map Projections
- Interference from Map Features
- Visualizing Maps + Time
- Faceting / Small Multiples
- Recapitulation
- Ballot Maps Project and Choropleth Maps
- Visualizing Network Data
- Tabular Data
- How do you visualize network data?
- Additional Attributes
- Node-Link Diagrams
- Edge Bundling
- Fixed Layout: Spatial
- Clutter Reduction Methods
- Matrices
- Part 2 Trees (Hierarchies)
- Node-Link Trees
- Special Kind of Trees
- Decision Trees
- Trees: Space-Partitioning and Containment Methods
- Area: Quantity
- Problem with “Slice-and-Dice” Layout
- Treemap Advantages/ Disadvantages
- Sunburst and Icicle Plots
- Summary and Observations
- Network Visualization Projects
- Visualizing Temporal Data
- Visualizing Temporal Data
- Temporal Information
- Hierarchical Structure / Resolution
- Visualization Methods
- Small Multiple Line Charts and Area Charts
- Effect of “Aspect Ratio” on Line Charts
- Beyond Line Charts
- Similar Design Works
- How do you Visualize Event Data When Events Have a Duration?
- Visualizing Periodic Phenomena
- Radial Layouts
- Increasing Visual Scalability of Timelines
- Beyond Using Position
- Recapitulation
- Visualizing Time Series
- Interaction and Multiple Views
- Interaction & Multiple Views
- Information Visualization Pipeline
- Why Manipulate Visualizations?
- Single / Multiple Views
- Selection
- Select → Highlight
- Select → Show More Information and Select → Apply Operation
- Navigation
- Spatial Arrangement
- Demo Using “LineUp”
- Video Demo of “Bertifier”
- Change Mapping
- Aggregation
- Filtering
- Multiple Linked Views
- Show Different Properties of the Same Data Simultaneously
- Examples
- Scenarios and Patterns
- Scenario 2
- Scenario 3
- Summary
- Interview with Manuel Lima
- The Value of Interaction
Summary of User Reviews
This course on advanced techniques for information visualization has received positive reviews from users. Many users appreciated the practical approach and the expert guidance provided by the instructor. The course has been rated highly overall for its in-depth coverage of advanced techniques in information visualization.Key Aspect Users Liked About This Course
Practical approach and expert guidance provided by the instructorPros from User Reviews
- In-depth coverage of advanced techniques in information visualization
- Practical applications and hands-on exercises
- Expert guidance from the instructor
- High-quality video lectures
- Useful insights and tips for data visualization projects
Cons from User Reviews
- Challenging assignments and assessments
- Some technical concepts may be difficult for beginners
- Limited interaction with other learners
- Requires a significant time commitment
- Some lectures may be too technical or specialized for certain learners
Enrico Bertini
4.7 Raiting
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