LinkedIn – Geospatial Data Analytics Essential Training 2024-9

Geospatial Data Analytics Essential Training. In today’s world, a vast amount of data is tied to geographic locations. From mobile phone location tracking to online maps and even satellite imagery, all of these are examples of spatial data. This course provides an overview of the spatial data industry, helping you apply this type of data to your daily work. Course Topics: Theoretical Foundations: Understand the theoretical foundations of spatial data analysis. Geometry and GeoDataFrames: Work with spatial data in the form of GeoDataFrames. GeoPandas In-Depth: Advanced use of the GeoPandas library in Python. Exploratory Analysis of Spatial Data: Discover new patterns and insights from spatial data

What you will learn:

• Python (programming language): Learn the basics of Python programming for spatial data analysis.
• Geographic Information Systems (GIS): Introduction to basic GIS concepts and tools.
• Spatial Data: Introduction to different types of spatial data and their applications

This course is suitable for people who:

• They are looking to learn the principles of spatial data analysis.
• They want to analyze spatial data using Python tools.
• Interested in working with geographic data in various fields.