Introduction to Geospatial Data Analysis in Python

This Python for beginner course will get you up and running with using Python for data analysis and visualization. You will learn how to download and access a Jupyter Notebook environment. You will have sample Python scripts and example data so that you will get a chance to practice manipulating GIS data. Additionally, you will get HD videos to guide you through out the course.

The course assumes you have no prior knowledge of Python, so you also get to learn the basics of Python in the first two sections of the course. However, if you already know Python, the first two sections can serve as a refresher before you jump into the data analysis and visualization part. In the course, you will learn how to install conda and various libraries that are necessary for geospatial data analysis such as basemap, geopandas, pandas, matplotlib, and seaborn. We will also use the popular open source tool, the Jupyter Notebook.

You will learn how to integrate different spatial libraries within your Python code. We will walk you step by step to apply various Python packages to manipulate GIS data, visualize geospatial data to get better insights. I will provide you with all the data that I demonstrate in the course. By the end of this course, you will be able to download Jupyter Notebook, install conda, and perform various spatial analysis including manipulating, aggregating, and visualizing GIS datasets using Python.