Learning Data Visualization
Offered By: LinkedIn Learning
Course Description
Overview
Communicate complex ideas quickly and thoroughly with data visualization. Turn information into artwork and intrigue your audience.
Syllabus
Introduction
- Welcome
- 4x4 model for knowledge content
- Channel your audience
- So what is data visualization?
- ASK what makes a good data visualization
- Visual perception
- Understanding your data
- Explanatory
- The six Ws
- Three more Ws
- Explore your data: Visual exploration
- Explore your data: Indexes and ratios
- Convert your data: Indexes and ratios
- Convert your data: Percentiles
- Convert your data: Aggregating
- Convert your data: Grouping
- Convert your data: Data formats
- Sketches and wireframes
- Defining your narrative
- Making everything relatable
- Illustration and iconography
- Typography
- Position, size, color, contrast, and shape
- The importance of scale
- Legends and sources
- The right paradigm: Basic charts
- The right paradigm: Alternative charts
- The right paradigm: Hierarchical data
- The right paradigm: Maps
- The right paradigm: Creativity and innovation
- Challenge: Improving on "The perfect report"
- Solution: Improving on "The perfect report"
- Introducing motion
- When to go interactive
- How to think interactively
- Finding the right technology
- Next steps
Taught by
Bill Shander
Related Courses
Intro to StatisticsStanford University via Udacity Introduction to Data Science
University of Washington via Coursera Passion Driven Statistics
Wesleyan University via Coursera Information Visualization
Indiana University via Independent DCO042 - Python For Informatics
University of Michigan via Independent