Spatial Analysis & Geospatial Data Science in Python

About Spatial Analysis & Geospatial Data Science in Python

_This is the first course that gives hands-on Spatial Data Science / Spatial Analysis Projects using Python.._

Student Testimonials:

Excellent course. The narration and presentation of the course are beautiful and simple. The contents contain very clear and interesting explanations. I love this course. Spatial Data Science course in python is entertaining, it contains very clear explanations, every minute you learn something new, it is really exciting. Thank you very much for this wonderful course -

Leonardo Guevara

Great course about Spatial analysis using Python! Simple to understand and packed with practical knowledge and real-world examples. Thanks Shan Singh for creating this course! -

Gabriel Borja

I was longing to get a kick start on geospatial analysis. This has given me a very clear explanation which I will put into practise -

Geoffrey Mogonchi

_Geospatial data science_

is a subset of data science that focuses on _spatial data_ and its unique techniques. In this, we are going to perform _spatial analysis_ and trying to find _insights_

_Geopy, Plotly , Folium_

etc.. the workhorse of Geospatial data science

Python libraries.

The topics covered in this course widely touch on some of the most used spatial technique in Geospatial data science. We will be learning how to

_read spatial data_ , _manipulate and process spatial data_

using

Pandas

and how to _perform_

_spatial operations.._

A large portion of the course deals with spatial Visuals like

_Choropleth, Geographical Scatter plot, Geographical Heatmap, Markers, Geographical HeatMap._

. Each video contains a summary of the topic and a walkthrough with code examples in layman terms that will help you learn more effectively. Who this course is for:

Students who want to become Data Scientist by show-case these Projects on his/her Resume

Students who like to take their first steps in the Geospatial data science career

Python users who are interested in Spatial Data Science

GIS users who are new to python and Jupyter