Browse our library of planning courses
This course applies suitability analysis techniques and least-cost path analysis—which optimizes routes on linear features—to planning for and siting a new transit line.
This virtual panel discussion focuses on the potential for the COVID-19 pandemic to influence the development, demographic, and environmental trends of the future. Speakers: Allison Arieff, William Fulton, Scott Frazier, and Mariela Alfonzo. Moderator: James Brasuell.
This course discusses how the field of urban informatics works. You will also learn about the technologies and concepts influencing Urban Informatics, including "Big Data," machine learning, visualization, and data-driven decision making.
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.
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 is the fourth and final course in the Drawing series. In this course we inquire into the nature of observing and representing color works in transitive environments, building upon the initial sketch, and beginning water color and oil technique.
This is the third course in the Drawing series. In this course we inquire into the nature of observing and representing color works in transitive environments, building upon the initial sketch, and beginning watercolor technique.
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.
Whether you're new to population analysis or just need a refresher, this course offers a comprehensive overview of the steps necessary to conduct analysis and develop projections using publicly available data. The course reviews Census data and builds skills, such as population projection, cohort survival, and concentration calculations that are essential for every professional in the planning and design community.
Planners play a crucial role in making housing more affordable and livable. In this course, you will learn about basic market principles, how to judge housing needs, and how to meet that housing need through affordable housing—all the data and analysis skills needed to estimate housing needs.