Learn to design amazing charts for visualization and communication for [data] science, journalism and storytelling
InstructorClara Granell, PhDThe curriculum covers human graphical perception, the Data-Ink Ratio, and statistical traps like selection bias and Simpson's Paradox.
Learner signals indicate the material is taught in a clear, step-by-step manner that is easy to follow.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
The presenter stands beside a slide listing fields where data visualization is useful, including data science, journalism, design, business management, and communication.
The presenter introduces the course alongside a visual metaphor featuring a magnifying glass examining a bar chart, symbolizing the critical analysis of data visualization.
The presenter introduces the course by assuring viewers that it starts from scratch and requires no previous knowledge, making it accessible for beginners.
The course lacks downloadable cheat sheets or a high volume of practical exercises to reinforce the theory.
One signal suggests the curriculum does not extensively cover digital or interactive visualizations.
