Visualizing Geospatial Data in Python

Starting at USD 39.00
4 hours duration

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

In the field of data science, a crucial responsibility is comprehending the correlation between the physical location of data and its geographical context. This course aims to equip you with the skills to create visually appealing representations of geospatial data using the GeoPandas package. Through this course, you will gain proficiency in spatially joining datasets, thereby establishing connections between data and its contextual information. Additionally, you will learn how to overlay geospatial data onto maps, enhancing the spatial cues in your work. To facilitate your learning, various datasets from the City of Nashville's open data portal will be utilized. These datasets will enable you to explore intriguing aspects such as the distribution of chickens in Nashville and the neighborhoods with the highest concentration of public art.

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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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