Analyzing US Census Data in R

Starting at USD 39.00
4 hours duration

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Professionals in various industries heavily rely on data provided by the United States Census Bureau for their analytical work. This course aims to equip students with the necessary skills to effectively handle Census tabular and spatial data within the R environment. The primary focus of the course is on utilizing the tidycensus package, which facilitates the acquisition of data from the decennial US Census and American Community survey in a format compatible with the tidyverse framework. Additionally, students will learn to leverage the tigris package to access Census geographic data directly within R. By the conclusion of this course, students will possess the ability to efficiently visualize and explore demographic data obtained from the Census Bureau using tools such as ggplot2 and other components of the tidyverse. Furthermore, they will be capable of generating maps of Census demographic data with minimal lines of R code.

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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