Dates and location
Pricing
Hours
Dates and location
Pricing
Hours
Description
The explosion of data has made data visualization a core competency for organizations as insights can no longer be derived from rows and columns. Analytical insights start and end with the story and storytelling skills are essential for understanding the message and gaining value from the data. Storytelling involves understanding the message, understanding the audience, and crafting the visuals to deliver insights to stakeholders.
Topics Include:
- Introduction to Data Storytelling
- Plan the Story
- Craft the Story
- Visual Design
- Refine the Visual Story
Unlock learning anytime, anywhere with the Blackboard Learn app
Seamlessly access your on demand courses, assignments, and get PD hours on the go. Learn how to download now and elevate your education experience with the convenience of mobile learning.
Key Takeaways
Upon completion of this course, you will learn:
- How to define the context of your story.
- How to identify the appropriate visual design.
- How to streamline the design for story clarity.
- How to see the story from the stakeholder’s view.
- How to leverage best practices in visual design.
- How to leverage best practices in storytelling.
Who Will Benefit
Business professionals who want to learn about visualizing data to create an engaging, informative, compelling story.
How to Access the Course
To access your course, visit the CPA Ontario Blackboard site and sign in using the same username and password used for the Registration Portal. You can also access your course through the Blackboard Learn app (iOS or Android).
Important: Course access begins on the date of purchase and remains available for the Access Time specified for the course under Dates and Location. Please review the access time before purchasing. Note that it may take up to 15 minutes after registration for the course to appear in Blackboard.
Registration, cancellation, withdrawal, and other CPA Ontario PD policies can be found here.
Speaker(s)
Deanne Larson, Ph.D., is an active data science practitioner and academic. Her research has focused on enterprise data strategy, agile analytics, and data science best practices. She holds Project Management Professional (PMP), Project Management Agile Certified Practitioner (PMI-ACP), Certified Business Intelligence Professional (CBIP), and Six Sigma certifications. Deanne attended AT&T Executive Training at the Harvard Business School focusing on IT leadership, Stanford University focusing on data science, and New York University focusing on business analytics. She has presented at multiple conferences including TDWI, TDWI Europe, PMI, and other academic conferences.