David Gold is a Ph.D. candidate in Environmental and Water Resources Systems (EWRS) with the Reed Research Group at Cornell University. His research focuses on water supply planning under conditions of deep uncertainty that stem from climate change and population growth. Professor Gold has a Bachelor of Science degree in Civil and Environmental Engineering from Lafayette College and a Master of Engineering degree in EWRS from Cornell. Prior to arriving at Cornell, he worked as a design engineer for the USDA Natural Resources Conservation Service in Rhode Island. When Professor Gold is not teaching or doing research at Cornell, he likes to play the banjo.
COURSE OVERVIEW
With the number of applications available today, it is easy to create an assortment of graphs, charts, and other visualizations of data. This does not, however, guarantee that the data and the story behind it are being compellingly conveyed; without pinpointing that story in the data, it is impossible to communicate it effectively with visuals. In this course, you will examine how to frame the narrative in your data, determining the right visualization for the right question. Next, you will explore design principles that consider human attention and perception, then apply these concepts to your own visualizations in order to create simple, effective visuals that illustrate the key points in your data. Finally, you will compile your visual narratives and prepare them for professional presentation.
You will be required to purchase “Storytelling with Data: A Data Visualization Guide for Business Professionals” by Cole Nussbaumer Knaflic to complete your coursework.
KEY COURSE TAKEAWAYS
- Plan your story, framing the narrative to be depicted in your data
- Apply concepts in human attention and perception to create visuals that effectively illustrate key points
- Prepare your visual narrative for professional presentation in a live or printed format
How It Works
Effort
3-5 hours per week
Format
100% online, instructor-led
Course Author
Ph.D. candidate in Environmental and Water Resources Systems (EWRS), Cornell Engineering
Who Should Enroll
- Data scientists
- Business analysts
- Engineers
- Programmers
- Technical and engineering leaders
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