In Telling Stories with Data, participants learn how to recognize poorly designed visuals, use visuals to communicate data effectively, leverage white space, color, and preattentive attributes to craft actionable visuals, list the 12 different types of visuals, use the 5-why technique to recognize potential obstacles and identify root causes, distinguish between explanatory and exploratory graphs and charts, build presentation stories and narratives, and summarize the story through talking points.
Through a variety of exercises and discussions, participants learn best practices and how to overcome challenges faced when presenting, communicating, and analyzing data.
Participants present their "data stories" and receive valuable feedback from the facilitator and peers for how to improve their "data story" presentations.
The Data Analytics Pipeline
Collection > Shaping > Storage > Retrieval > Visualization > Analysis > Communication