4.50 (41 reviews)
☑ The course introduces you to the most essential Geopython Libraries
☑ Perform Spatial Data analysis with Python
☑ Learn the essentials of Geopy,Plotly Library, the workhorse of Geospatial data science in Python.
☑ Learn how to visualize Geospatial data in Python (static and interactive maps)
☑ Learn how to pre-process geospatial data.
☑ Perform Geocoding on Data
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 from spatial data. In this course, we lay the foundation for a career in Geospatial Data Science. You will get hands-on Geopy, Plotly 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 perform some 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 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 notebooks for Geographic data analysis...
About Courses benefits
How to follow this course-Must Watch
Intro to Covid-19 Project
Installation of Anaconda Navigator
Datasets & Resources
Reading Data of Covid-19
Spatial Analysis on Covid-19
Idea behind Choropleth Maps
Choropleth Map for Confirmed Covid-19 Cases
Choropleth Map of Particular continent
Idea behind Geographical Scatter plot
Geographical Scatter plot for Confirmed Covid-19 Cases
Plotting of Recovery using Choropleth & Geo Scatter plot
Plotting of Deaths using Choropleth & Geo Scatter plot
Interactive Geospatial Data visaulisation on Covid-19
How to extract Latitudes & Longitudes of a location
Data Preparation For Spatial Analysis
Fetch Geographical Co-ordinates of a country
Idea behind Tileset,Raster & Vector Data
Use-case of Markers
creating a base map
Plot Confirmed Cases using Markers
Plotting of Recovered & Deaths using Markers
Advanced GeoSpatial Analysis
Idea Behind Marker Cluster
Plot Deaths using Marker cluster
Idea behind Geographic Heatmap
Geographic HeatMap of Confirmed Cases
Quite interesting introduction to the possibilities of Python spatial libraries even for GIS Specialist.
It is very interesting to learn geospatial visualization on Python (using Geopy and Folium packages). Basic for everyone, it only requires skills on Python. Very well explained and easy to follow with pratical examples.