Introduction to Geospatial Data Analysis in Python

Introduction to Geospatial Data Analysis in Python, available at $34.99, has an average rating of 3.5, with 13 lectures, based on 117 reviews, and has 651 subscribers.

You will learn about Download Python and the Jupyter Notebook using Anaconda Create Interactive Maps with Leaflet Import data in to Python for spatial analysis and visualization Organize data inside a pandas data frame Query data from Python pandas data frame Apply various spatial data visualization including time series plots, heatmaps, and base maps This course is ideal for individuals who are Anyone who wants to leverage the power of the Python programming language for handling geospatial data. or Anyone who needs to learn Python in a Jupyter Notebook environment. or Anyone who wants to manipulate spatial data using Python. It is particularly useful for Anyone who wants to leverage the power of the Python programming language for handling geospatial data. or Anyone who needs to learn Python in a Jupyter Notebook environment. or Anyone who wants to manipulate spatial data using Python.

Enroll now: Introduction to Geospatial Data Analysis in Python

Summary

Title: Introduction to Geospatial Data Analysis in Python

Price: $34.99

Average Rating: 3.5

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will Learn

Download Python and the Jupyter Notebook using Anaconda
Create Interactive Maps with Leaflet
Import data in to Python for spatial analysis and visualization
Organize data inside a pandas data frame
Query data from Python pandas data frame
Apply various spatial data visualization including time series plots, heatmaps, and base maps

Who Should Attend

Anyone who wants to leverage the power of the Python programming language for handling geospatial data.
Anyone who needs to learn Python in a Jupyter Notebook environment.
Anyone who wants to manipulate spatial data using Python.

Target Audiences

Anyone who wants to leverage the power of the Python programming language for handling geospatial data.
Anyone who needs to learn Python in a Jupyter Notebook environment.
Anyone who wants to manipulate spatial data using 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 Notebookenvironment. 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.

Course Curriculum

Chapter 1: Welcome

Lecture 1: Welcome

Chapter 2: Download Anaconda

Lecture 1: Download Anaconda

Chapter 3: Plotting with Matplotlib

Lecture 1: Plotting with Matplotlib

Chapter 4: World Population

Lecture 1: World Population

Chapter 5: Interactive Maps

Lecture 1: Interactive Maps

Chapter 6: Digital Elevation Model Data

Lecture 1: DEM Data

Chapter 7: Volcano Maps

Lecture 1: Volcano Maps

Chapter 8: Color Bar Customization

Lecture 1: Color Bar Customization

Chapter 9: Seaborn and Matplotlib

Lecture 1: Seaborn and Matplotlib

Chapter 10: Map Projections

Lecture 1: Map Projections

Chapter 11: Animation of Spatial Data

Lecture 1: NDVI Data Animation

Lecture 2: Rainfall Data Animation

Chapter 12: Bonus

Lecture 1: Bonus Lecture

Instructors

Spatial eLearning
Learn Geospatial Data Science Skills!
Dr. Alemayehu Midekisa
Geospatial Data Scientist

Rating Distribution

1 stars: 7 votes
2 stars: 9 votes
3 stars: 37 votes
4 stars: 28 votes
5 stars: 36 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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