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Effective Data Visualization
Rating: 3.8 out of 5(35 ratings)
748 students

Effective Data Visualization

Through design principles drawn from graphic design, visual art, perceptual psychology, and cognitive science
Created byJef Heer
Last updated 4/2017
English

What you'll learn

  • Visualization design fundamentals
  • Visual data analysis and exploration
  • Perceptual psychology
  • Cognitive science
  • Data reduction strategies
  • Design principle
  • Effective visualization of big data

Course content

1 section12 lectures2h 55m total length
  • Introduction to value of Visualization15:55
  • Data and Image Models18:34
  • Multidimensional Data17:34
  • Design Principles3:23
  • Graphical Perception10:13
  • Color17:02
  • Perceptual Redesigns6:29

    Apply perceptual redesigns to visualizations by swapping color with position encoding for gene expression time series and arterial decay, improving diagnostic accuracy with 2D diverging palettes and 3D displays.

  • Interaction Techniques28:27
  • Visualizing Big Data: Supporting Interaction11:33
  • Analysis Example - Antibiotic Effectiveness14:40
  • Demonstration: Trifacta Visual Profiling13:09
  • Visualizing Big Data: Visual Encoding18:09

Requirements

  • Computer and Internet

Description

Learn the methods you need to bring data to life through effective visualizations. In this video course, host Jefrey Heer—co-founder of Trifacta—takes you through best practices for designing interactive visualizations, performing exploratory data analysis, and examining multidimensional data.

You’ll begin by learning the value of visualization, through design principles drawn from graphic design, visual art, perceptual psychology, and cognitive science. Using Trifacta’s data transformation tools to illustrate some of the concepts, you’ll also learn techniques for scaling visualizations to extremely large data sets.

In two parts—Effective Visualization Design and Visualizing Big Data—this course will teach you practical tips on topics including:

  • Visualization design fundamentals: data and image models, graphical perception, and color design
  • Visual data analysis and exploration: exploratory data analysis, multidimensional data, interaction techniques
  • Data reduction strategies: sampling, aggregation, and model fitting
  • Effective visualization of big data: scalable visual encoding methods and interaction techniques

Jefrey Heer is a co-founder and CXO (Chief Experience Officer) at Trifacta Inc. He spent many years as a professor of Computer Science at Stanford University, where he led the Stanford Visualization Group. His group created several popular tools, including D3.js (Data-Driven Documents) and Data Wrangler. Jeff is currently a faculty member of Computer Science & Engineering at the University of Washington.

Who this course is for:

  • Data visualization Analyst
  • A data journalist