Analyzing US Census Data in Python

Starting at USD 39.00
5 hours duration

Learn to use the Census API to work with demographic and socioeconomic data.

Data scientists in various fields, including marketing, public health, and civic hacking, often require access to demographic and socioeconomic data. While government census agencies provide comprehensive and high-quality datasets, the abundance of variables and complexities associated with administrative geographies can make navigating this valuable resource a daunting task. This course aims to familiarize you with the Decennial Census and the annual American Community Survey, enabling you to locate data pertaining to household income, commuting patterns, racial demographics, family structures, and other relevant topics. Through the utilization of Python and the Census API, you will learn how to efficiently retrieve data for both large and small geographies. Additionally, you will gain proficiency in data manipulation using pandas, allowing you to generate derived data such as segregation measures. Furthermore, the course will provide an introduction to geopandas, offering you a glimpse into its mapping capabilities.

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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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