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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.
The second course of the City Engine for Planners track dives into coding in Esri CityEngine’s proprietary Computer Generated Architecture (CGA) code.
The second course in the Urban Design for Planners series provides training on two important tools: SketchUp and QGIS.
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 second course in the "GeoDesign with CommunityViz" series shows how the CommunityViz extension of ArcGIS can guide the design, and assess the impacts, of a project.
Learn how the CommunityViz extension of ArcGIS can guide the design of a project and assess the project's impact. This course specifically focuses on a suitability analysis using essential functions and the Land Use Designer wizard.
Most planners and designers don't use just one drawing or visualization program. In this course you'll learn how to create 3D drawings in AutoCAD and how to use AutoCAD in concert with other programs, such as Adobe Illustrator and Sketchup, to create illustrative plan, section, and perspective views.
Combining ArcGIS and Google Earth allows for a convenient, powerful way to create and share professional, accurate spatial visualizations of geographical analysis to a wide audience. This course explores how to prep shape files for ingestion into Google Earth, share city data with the public, and aid in pre-visualizing via geo-referencing around potential development sites.