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Information Visualization: Advanced Techniques

Approx. 16 hours to complete

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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

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

Advanced

Course 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.

Learning Goals Goal: Analyze the design space of visualization solutions for various kinds of data visualization problems. Learn what designs are available for a given problem and what are their respective advantages and disadvantages. - Temporal - Spatial - Spatio-Temporal - Networks - Trees - Text This is the fourth course in the Information Visualization Specialization. The course expects you to have some basic knowledge of programming as well as some basic visualization skills (as those introduced in the first course of the specialization).

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 instructor

Pros 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

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