Data Visualization & Storytelling

Data Visualization & Storytelling, available at $64.99, has an average rating of 4.2, with 38 lectures, 6 quizzes, based on 53 reviews, and has 275 subscribers.

You will learn about 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 to the decision-making process 5. Select visual communication techniques to persuade 6. Storytell a business concept with a chart 7. Detect bias in charts 8. Apply psychological frameworks to visual communication This course is ideal for individuals who are data scientists or consulting or graduate students or corporate trainers It is particularly useful for data scientists or consulting or graduate students or corporate trainers.

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Summary

Title: Data Visualization & Storytelling

Price: $64.99

Average Rating: 4.2

Number of Lectures: 38

Number of Quizzes: 6

Number of Published Lectures: 38

Number of Published Quizzes: 6

Number of Curriculum Items: 48

Number of Published Curriculum Objects: 48

Original Price: €19.99

Quality Status: approved

Status: Live

What You Will Learn

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 to the decision-making process
5. Select visual communication techniques to persuade
6. Storytell a business concept with a chart
7. Detect bias in charts
8. Apply psychological frameworks to visual communication

Who Should Attend

data scientists
consulting
graduate students
corporate trainers

Target Audiences

data scientists
consulting
graduate students
corporate trainers

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. Identifythe role of a narrative in a chart

2. Transformdata into information

3. Synthesize knowledge by linking frameworks

4. Apply visual thinkingtools 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.)

Referencebooks (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

Course Curriculum

Chapter 1: Icebreaker

Lecture 1: The Six Rules of Visualization

Chapter 2: Stories & Narratives

Lecture 1: Data, Information, Knowledge

Lecture 2: Narratives & Stories

Lecture 3: The DIKW information model

Lecture 4: Review

Chapter 3: Visualizing Information

Lecture 1: What tool should I use to visualize?

Lecture 2: Avoiding Information overload

Lecture 3: The Chart-Narrative fit

Chapter 4: Creating Knowledge with frameworks

Lecture 1: Visual metaphors

Lecture 2: Visualizing inclusion with percentile frameworks

Lecture 3: The BRICS framework

Lecture 4: The Prevalence framework

Lecture 5: Forecasting with the mean reversion framework

Lecture 6: Using video memes to Storytell

Lecture 7: Making Meaning with Clusters

Chapter 5: The Chart as a bicycle for the Mind

Lecture 1: How Visuals make you smarter

Lecture 2: Five charts that changed the World

Lecture 3: Clayton's disruption charts

Lecture 4: 2D business mapping charts

Lecture 5: The House of Shiva chart

Lecture 6: The Bitcoin chart

Lecture 7: Gap matrix charts

Chapter 6: Maps for meetings & Teamwork

Lecture 1: Wardley maps

Lecture 2: Tesla case

Lecture 3: Spotify case

Lecture 4: Reporting with A3/PDCA

Lecture 5: The Biz Canvas

Chapter 7: Psychology of Visualization

Lecture 1: Tips to make your chart memorable

Lecture 2: Cognitive overload

Lecture 3: Framing

Lecture 4: The Peak–End rule

Lecture 5: Storytelling case (the KDNuggets poll)

Chapter 8: Bias & Ethics

Lecture 1: What is Bias?

Lecture 2: The Okinawa Diet case

Lecture 3: Hard working Germans case

Lecture 4: More types of Bias

Lecture 5: Amazon Fires case

Lecture 6: A Due diligence checklist

Chapter 9: Case studies

Chapter 10: Final Exam

Instructors

Jose Berengueres
Professor

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 12 votes
4 stars: 15 votes
5 stars: 23 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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