Effective Data Visualization: From Design Fundamentals to Big Data Techniques
English | January 2015 | mp4 | H264 1920x1080 | AAC 1 ch | 2 hrs 52 min | 2.51 GB
Learn the methods you need to bring data to life through effective visualizations. In this video course, host Jeffrey 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
Jeffrey 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.