
Explore what makes stories sticky as the course blends art and science in data storytelling, with examples from Cinderella, Harry Potter, and Avengers, and a teaser for the next session.
Define what an insight is by distinguishing it from data, technology, jargon, and observations, and note that insights enable better decisions for stakeholders.
Learn to make a data story engaging by using presentation to evoke emotion and drama, analyzing revenue performance across time and dimensions, and considering improvements.
Discover three golden tips for dashboards: start with a sample, link across tabs, master pivot tables. Analyze attainment over time and market share, and connect slicers to pivots for formatting.
"Data science is as much an art as science"...
This masterclass delves into converting the art of data storytelling into scientific chunks that are easy to implement, keeping in mind the corporate audience.
The intended audiences include Analytics leaders, business and data professionals as well as students.
It will help understand best practices to tailor your story as per different learning styles, audience and message.
There is focus on using multiple touchpoints to drive the message home. The focus will be on processes rather than visualization tool, since the hidden 80% of the ice-berg of any story is understanding the 3Cs - the characters, the context and the conflict/challenge!
There is no doubt that better storytelling is the need of the hour. It is interesting how an HBR article on 'A Data Scientist’s Real Job: Storytelling' and Forbes on 'Data Storytelling: The Essential Data Science Skill Everyone Needs' only strengthen the argument.
This masterclass would also be delving into visual encoding - the language of visualization and applying the learnings to selection of optimal chart types.
Finally this session will help develop the 3 golden ways to create drama and hence increase stickiness of our stakeholders.
The methodology comprises learning through case studies, stories, and concepts. The masterclass ends with implementation of a dashboard for a marketing case study.