RESERVE MY SPOT
Marybeth brings experience in storytelling management for print, digital, television and radio to students at Harbour.Space. She is passionate about developing and transferring skills to real jobs and helping students navigate a rapidly changing field of media, marketing, PR and communications.
She has taught classes include Feature Writing, Investigative Journalism, Web Storytelling and Mass Communications at the University of North Carolina. Her teaching is based on extensive work in multiple leadership and entrepreneurial roles at Bloomberg in Stockholm, London, Zurich, Washington D.C. and New York. At Bloomberg, her positions included managing content teams, standards training, internal and external communications and leading projects to create visual stories for print, web, TV and radio.
She currently advises multinational companies and charities in locations such as Mumbai, Stockholm, London and New York regarding their internal and external content and storytelling strategies. She also serves on a number of boards, from start-ups to charities.
Her work is driven by curiosity and a desire to simplify data-based concepts into memorable storytelling.
This course is for the non-designer studying digital marketing. (It may also be attractive to data science, fintech and entreprepreneur students). It teaches data design fundamentals and introduces a variety of visualisation tools and techniques. At the end of the course, students will be able to identify the visualisation techniques that will deliver the highest impact under various scenarios. The students will learn how to present meaningful information in the most compelling and easy-to-digest fashion.
SKILLS:
- Finance
- Management
- Research
- Analysis
DATE: 17 Feb - 6 Mar, 2020
DURATION: 3 Weeks
LECTURES: 3 Hours per day
LANGUAGE: English
LOCATION: Barcelona, Harbour.Space Campus
COURSE TYPE: Offline
WHAT YOU WILL LEARN
COURSE OUTLINEABOUT MARYBETH
HARBOUR.SPACE 
We all intuitively believe that fact-based decision-making is good, but we often lack the right skills required to present quantitative information in a meaningful way. Although tables and graphs are widely used, the presentation is often poorly designed, misrepresenting or obfuscating the truth. Why? Because few communicators, including financial analysts and marketing or strategy professionals, have been trained in information design and leveraging visualisation techniques to help support better decision-making.
MARYBETH SANDELL
Harbour.Space is a university created by entrepreneurs for entrepreneurs. We focus on meeting the demands of the future, while traditional education providers are too often stuck in the past.
We’re one of the only European institutions completely dedicated to technology, design and entrepreneurship, and our interdisciplinary courses are taught by some of today’s leading professionals. Our aim is not only to equip students with the knowledge to take on the real world, but to nurture, create and shape tomorrow’s tech superstars.
HARBOUR.SPACE UNIVERSITY
DATE: 17 Feb – 6 Mar, 2020
DURATION: 3 Weeks
LECTURES: 3 Hours per day
LANGUAGE: English
LOCATION: Barcelona, Harbour.Space Campus
COURSE TYPE: Offline
Session 2
Foundations and tools.
Cognitive visual consumption and bias
Discussion of final project, create teams
Session 3
Foundations and tools.
Design, label and headline guidelines for data visuals
Session 1
Foundations and tools.
Introduction and overview
History of data viz
All rights reserved. 2018
Session 4
Foundations and tools.
Overview of tools landscape
We all intuitively believe that fact-based decision-making is good, but we often lack the right skills required to present quantitative information in a meaningful way. Although tables and graphs are widely used, the presentation is often poorly designed, misrepresenting or obfuscating the truth. Why? Because few communicators, including financial analysts and marketing or strategy professionals, have been trained in information design and leveraging visualisation techniques to help support better decision-making.
DATA VISUALISATION
DATA VISUALISATION
RECOMMENDED READING
Introduction to Data Visualization & Storytelling: A Guide For The Data Scientistby Jose Berengueres (July 28, 2019)
The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures by Dona M. Wong (W. W. Norton & Company, 2013)
