Browse our library of planning courses
Learn how branding can capture and promote the unique characteristics of cities, and how your city could succeed as not only a wonderful place to be, but a strong brand that attracts visitors, new citizens, and new industries and businesses.
Why aren’t more cities implementing placemaking strategies, which are proven to expand economic activity, increase mobility, protect the environment, and create more equitable places? CNU’s Project for Code Reform seeks to streamline the code reform process by providing local governments place-specific incremental coding changes that address the most problematic barriers first, build political will, and ultimately create more walkable, prosperous, and equitable places.
This course discusses the local and global impacts of transportation systems and the mitigation of those impacts. The course also identifies prospects for change, as achieved by technology, transportation management, and pricing.
Learn how to use SketchUp to create content appropriate for a virtual reality environment. By the end of the course, viewers will be ready to learn how to prepare a final model for export into Unity.
This course provides an overview of virtual reality (VR) and the elements that lead to effective urban design simulations and, ultimately, how to produce VR applications that enable users to explore urban design scenarios.
This course will expand on the Tableau for Planners: Introduction and Worksheets. Students will have prior experience will building basic tables and will start to use Tableau to build multi-worksheet dashboards with interactive controls like filtering. Students will also learn how to make the data used in their visualization accessible to the public. At the end of the course, we will demonstrate how to publish the work to Tableau Public and embed dashboards on websites and in social media.
This course will introduce general principles of data visualization and orient the user with the Tableau platform. Learn how to connect to a data set in Microsoft Excel, understand general principles of a relational database, and start building basic worksheets and dashboards.
Python is one of the world’s most popular programming languages, particularly among beginners, thanks to its clear and straightforward syntax. It is also one of the most widely used languages for data science.