Gain key tools and insights to strategically design data visualizations for decision-making and communication in Tableau.
8 weeks,
excluding orientation.
6–10 hours per week,
self-paced learning online.
Weekly modules,
flexible learning.
Pursue career growth by enhancing your visualization and Tableau skills for practical application in day-to-day work
Use the data at your disposal to make more educated decisions through effective visualization
Learn to present and communicate data to non-technical peers and senior leadership in your organization
1
The practical skills to convey insights and uncertainty using effective visualization-based communication.
2
Design fundamentals and techniques rooted in cognitive psychology and graphic design to help you visualize data for non-technical stakeholders.
3
A data visualization strategy that conveys data insights to improve organizational decision-making.
Over the duration of this online short course, you will work through the following modules:
Module 1
Purpose of Visualization
Examine the purpose of data visualization and the use of tools such as Tableau.
Module 2
Data Fundamentals and the Visualization Process
Explore the data visualization process and consider different types of data.
Module 3
Visualization as a Language
Investigate how data can be translated into visuals.
Module 4
Mapping Data to Visual Variables
Determine how to map data in a design space.
Module 5
Multidimensional Data Analysis
Understand how to effectively visualize multidimensional data to analyze patterns.
Module 6
Exploratory Data Analysis
Learn how to explore data in order to identify patterns and validate assumptions.
Module 7
Designing Visualizations for Communication
Identify how to design visualizations that guide the viewer.
Module 8
Visualization-Based Decision Making
Learn how to communicate uncertainty and insights using storytelling and emphasis.
Please note that module titles and their contents are subject to change during course development.
Jessica Hullman
Associate Professor, Computer Science, McCormick School of Engineering; Associate Professor, Journalism, Medill School of Journalism, Media, Integrated Marketing Communications at Northwestern University
Hullman is an associate professor of computer science, engineering, and journalism at Northwestern University. Her research interests span statistical inference, journalism, cognitive science, and behavioral economics. She examines how to design, evaluate, coordinate, and think about representations of data for amplifying cognition and decision-making. Her work aims to help more people make sense of complex information and, in particular, to reason with data under uncertainty.
This Northwestern Engineering online short course is delivered in collaboration with online education provider GetSmarter. Join a growing community of global professionals, and benefit from the opportunity to:
Gain verifiable and relevant competencies and earn invaluable recognition from an international selection of universities, entirely online and in your own time
Enjoy a personalized, people-mediated online learning experience created to make you feel supported at every step
Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones