Introduction to Geospatial Data Analysis in Python

About Introduction to Geospatial Data Analysis in Python

This

Python

for Beginner course will get you up and running 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 throughout 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

and 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 analyses including manipulating, aggregating, and visualizing

GIS

datasets using Python.