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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.
From unsanctioned crosswalks to city-led "Pavement-to-Plaza" programs, instructor Mike Lydon describes the success of short-term, temporary projects in influencing long-term physical and policy changes in cities across the United States and Canada.
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.
As the field of planning continues to trend toward multi-modal, sustainable transportation practices, tools to model or analyze the walkability of a given area have grown in number and complexity. In this course, students will learn how to apply ArcMap and the Spatial Analyst extension to model walkability. The course assumes students have a working knowledge of GIS and basic familiarity with Spatial Analyst.
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.
"Bike Friendly Streets: Design Standards" presents examples of cities across the United States and globally redesigning their streets to accommodate and encourage bicycling. From road diets that make room for bike lanes to complete redesigns of streets, cities are stepping up to the challenge of providing a variety of options for the bicyclists in their communities.
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.