Browse our library of planning courses
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.
In this course we will define a tiny home and explore the history and appeal of this seemingly recent movement. The course touches on challenges associated with the legal development and regulation of this alternative residential option.
This course reviews the basic land use forecasting workflows that can be completed using the UrbanSim Cloud Platform, as illustrated by a set of case studies.
At the end of this course, participants will be acquainted with the UrbanSim forecasting methodology, understanding the features available in the UrbanSim Cloud Platform and the basics of an UrbanSim model at the Census block level.
This course will take planners through a case study multi-family property valuation. The course will build upon previous course topics of time discounting, internal rate of return, net operating income, lease structures, debt payments, and risk assessment.
The final course in the "Greening the Neighborhood" series discusses international considerations for LEED-ND and reviews LEED v.4, the first major update to the LEED-ND system since 2009.
This course reviews options and resources for local governments to leverage LEED-ND by examining case studies of local experiences and results.
This course introduces the LEED-ND (Neighborhood Development) system with a review of its goals and major users and the business case for undertaking ND projects. Also learn about rating system prerequisites and credit requirements, the certification process, and technical resources available for assembling successful certification submissions.
Network Analysis helps urban planners, designers, and policy makers explore the dynamics and complexities of social networks and organizations. This course demonstrates the ways you can use the open-source Gephi software to visualize and analyze online social networks.
This second of four courses delves deeper into the Census 'architecture'. In course 2 of "Working with Census.gov", Dr. Chris Williamson, a.k.a. Dr. Data, provides an overview on the federally mandated topics that lead to programs which ultimately produce products for the public. Course 2 also delves into such tricky topics as Census data table analysis and gives insider tips and goodies from a Census Bureau veteran.
This third of four courses takes you into a series of live demonstrations and in-depth explanations and visuals from the Census.gov and American FactFiner websites. The course covers a comprehensive navigation of the pages, tools and interactive databases that form the expansive Census website and publicly accessible data stores and produced information.
This course is the second of two scenario planning courses hosted by Garlynn Woodsong. This course introduces UrbanFootprint, a next-generation open source scenario planning tool developed in response to a changing policy environment in order to automate and streamline the processes involved with: loading base data; assessing and defining developable lands; translating existing plans and scenarios; creating new scenarios; and analyzing those scenarios for their performance according to a range of metrics.