Data Storytelling
Coursera
This course will cover the more complex concepts that become involved when working beyond simple datasets. Exploring the connection between visual aspects and data understanding, we will examine how those concepts work together through data storytelling. After reviewing key points on how to avoid problematic visualizations and data misrepresentation, you will continue working in Tableau performing multivariate descriptive analysis of the S&P 500 stock sectors.
More resources on Data Storytelling
Data Story
Nancy Duarte's guide to turning analysis into a narrative that drives decisions. Shows how to frame data around a recommended action, structure findings with a story arc, and present charts and conclusions so non-technical audiences act on them.
Effective Data Storytelling
A practical framework for communicating analytical insights by combining three elements: data, narrative, and visuals. Covers finding the insight worth telling, structuring it with a storytelling arc, and designing charts that keep an audience focused on the key point.
Advanced Data Storytelling
Using existing spreadsheet and quantitative reasoning skills, learners will make their data tell a story. This course is ideal for learners who are just starting out in their careers, journalists looking to expand their skill set, and marketers looking to tell a story.
Storytelling with Data
Cole Nussbaumer Knaflic's site on communicating with data, with blog posts, makeover examples, a podcast and community challenges. It teaches how to choose effective charts, remove clutter, direct attention and build a clear narrative around quantitative findings for business audiences.