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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.
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 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.
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.