Geocoding is the process of converting an address into geographic coordinates (latitude and longitude), which can be used to place the address on a map. In this video, we'll show you how to perform geocoding of addresses using Pandas and Geopy in Python.
We'll start by introducing you to geocoding and the different types of geocoding services available. You'll learn how to use the Geopy library to geocode addresses and retrieve geographic coordinates.
Next, we'll dive into using Pandas to manage and manipulate your data. You'll learn how to import data from different file formats like CSV and Excel, and how to use Pandas to clean and process your data.
You'll also learn how to use Geopy to perform batch geocoding of large datasets. We'll show you how to use Pandas to organize your data and how to use Geopy to geocode addresses in bulk.
Throughout the video, we'll provide real-world examples of how to perform geocoding of addresses using Python. You'll learn how to map and visualize your geocoded data, and how to extract insights from it.
By the end of this video, you'll have a solid understanding of how to perform geocoding of addresses using Pandas and Geopy in Python. Whether you're a beginner or an experienced data analyst, this video is a great way to learn how to work with geocoded data and unlock new possibilities for your projects.
