Introduction to Data Visualization & Storytelling: a Guide for the Data Scientist (Visual Thinking)

• Data Science
• Design Thinking, and
• Storytelling

Audience

• MBA candidates, instructors, consultants
• Users of Excel, SPSS, or Tableau
• No data skills or special math skills are required

What will you learn?

1. to identify the role of a narrative in a story
2. to transform data into information
3. to synthesize knowledge
4. to apply visual thinking tools to the decision-making process
5. to select visual communication techniques to persuade
6. to detect bias in charts

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.

About the authors

• Jose Berengueres is from Barcelona and a doctor in robotics by TokyoTech. A Kaggle competitions master, since 2011 he works at the U.A.E University in the Emirates where he teaches design thinking and data visualization.
• Marybeth Sandell is a Swedish-American journalist and has been, among others, bureau chief of the Bloomberg London office. She has worked in Stockholm, Zurich, and New York; and has taught at the University of North Carolina. She has a Masters in Communication and Technology from UNC-Chapel Hill and his work focuses on creating data-driven stories for global corporations and non-profits.