Introduction to Data Visualization & Storytelling
A Guide For The Data Scientist
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Narrated by:
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Virtual Voice
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By:
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Jose Berengueres
This title uses virtual voice narration
Virtual voice is computer-generated narration for audiobooks.
Updates to the 3rd edition
This improved and updated edition adds three substantive updates.
- First, a new Chapter 6 presents additional case studies that illustrate complete end-to-end workflows—from data collection to final story—so readers can see the principles applied in real settings.
- Second, the bias chapter has been reorganised and extended with recent research on confirmation, selection.
- Third, short “AI Tip” call-outs show when and how current language-model tools can speed up tasks such as draft phrasing or exploratory charting
- Data Science
- Design Thinking, and
- Storytelling
- Ethics and AI
Audience
- MBA candidates, instructors, consultants
- Users of Excel, PowerBI or Tableau
- No data skills or special math skills are required
What will you learn?
- to identify the role of a narrative in a story
- to transform data into information
- to synthesize knowledge
- to apply visual thinking tools to the decision-making process
- to select visual communication techniques to persuade
- to detect bias
Praise from the readers
- “look at this tremendous contribution” – Juan Riquelme Díaz, Editor del Grupo Valparaíso en SoyChile.
- "I was going through the book and it looks great!" – Mauricio Zanotti, Director ONG La ruta Solar.
- "Here in Argentina the community in data science is really growing, and I love visualizations and find the way to tell the story." – Agustin Blacker.
- "Along with greeting and thanking you for such a good contribution delivered through the book I am reading (now in its translated version)." – Rosa Velasques.
- "An eye-opener" – Benjamin Jon, Wales. "A holistic approach to how to create knowledge with classic rhetoric." – Birgitta Edberg.
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