Advanced Data Visualization
edX
Part of HarvardX's Data Science series, this course teaches exploratory graphics in R with ggplot2: distributions, summary statistics, and the principles behind effective charts, using case studies that show how plots can mislead.
More resources on Data Visualization
PolicyViz
Jon Schwabish interviews researchers, designers, and analysts about presenting data clearly, covering chart choice, color, annotation, and slide design. Episodes mix craft-level technique with the working habits organizations need to turn analysis into communication people actually read.
flowingdata.com
FlowingData is a data visualization blog that teaches how to tell stories with data, featuring tutorials, design tips, case studies, and a gallery of real-world charts, dashboards, and infographics.
data-to-viz.com
Data-to-Viz is a practical reference and gallery of data visualization techniques, offering clear explanations of many chart types, best-use scenarios, and visual examples to illustrate effective data storytelling.
Flourish
Browser-based tool for building animated and interactive charts, maps and scrollytelling stories from spreadsheet data using preset templates, with no coding needed. Publishing and embedding are free on public projects.
Datawrapper
Web tool used widely in newsrooms to turn spreadsheet data into publication-quality charts, maps and tables. You paste data, pick a chart type, refine labels and colors, then embed the responsive result.
Observable
A reactive JavaScript notebook platform for exploratory data work, where cells re-run automatically as inputs change. Useful for prototyping D3 and Plot visualizations, sharing runnable code, and studying published notebooks from the visualization community.