With its foundations rooted in statistics, advertisement, and data science, practitioners in medical, engineering, and business use “DataViz” to explore, understand and convince with data. This course shows you how to better understand your data, present clear evidence of your findings to your audience, and tell an engaging story. Based on the acclaimed textbook eponymous Amazon Bestseller[1], parts of this courseware have been used in universities and biz schools in Finland, Barcelona, USA, Korea, Canada, and the Middle East; and in executive training of companies like Halliburton TX, Agilent, Orange, and PropertyFinder, after this course, you are expected to be able to transform data into not just information, but valuable knowledge. You will learn by example how to visualize the fascinating topics of gender equality, inclusion, solar energy and bias. You will also learn, What is the role of a narrative in a graphic; The foundations of visual narratives and what is the relationship between data, information, and knowledge. The authors (a Kaggle master, a Bloomberg ex bureau chief, and a psychology professor) bring together concepts of Data Science, Design Thinking, and Strategy to take the student on a journey where the destination is nothing less than great visual storytelling. You might be an MBA candidate, an instructor, a strategy consultant or an entrepreneur, this course explains the visual fundamentals for building graphics that convince decisively. Designed as a series of Socratic exercises, this book is for you if you work with Excel, SPSS, or Tableau; no data skills or special math skills are required.
Main Outcomes
1. Identify the role of a narrative in a chart
2. Transform data into information
3. Synthesize knowledge by linking frameworks
4. Apply visual thinking tools for decision making
5. Select visual communication techniques to persuade
Praise from previous students
“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. Since 2011 he works at the U.A.E University in the Emirates where he combines teaching design thinking and ethics in IT with mentoring startups. He is also a Kaggle master.
Bibliography
(extra materials included with this course)
when you enroll in this course you will get a free copy in English or Spanish of the following books:
•Berengueres, J. (2019). Introduction to Data Visualization & Storytelling: A Guide For The Data Scientist.
•Berengueres, J. (2020). Visualización de Datos & Storytelling. (B. Covarrubias, Ed.)
Reference books (not included in this course)
•Now you see it, Stephen Few, 2009
•Show me the numbers, Stephen Few, 2012
•Storytelling with Data, Cole Nussbaumer Knafflic, 2015
•Good Charts (HBR), Scott Berinato, 2016
•DataStory, Nancy Duarte,2019
•Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures, Clause Wilke,2019
•Storytelling with Data workbook, Cole Nussbaumer Knafflic, 2020
