A Beginner's Guide to GIS Programming | Udemy
English | Size: 9.76 GB
Genre: eLearning[/center]

Practical GIS Programming using Python, GeoPandas, Shapely, ArcPy, and SQL

What you'll learn
Set up your Python and GIS programming environment using Anaconda, VS Code, and Jupyter Notebook.
Master the basics of Python essential for GIS programming
Use Jupyter Notebook effectively for writing, testing, and documenting GIS workflows.
Work with Shapely to create, manipulate, and analyze geometric objects.
Perform advanced geometric and spatial operations such as validation, set operations, and interpolation.
Understand the fundamentals of PostgreSQL and PostGIS for storing and managing spatial data.
Host and manage PostgreSQL databases on both local systems and cloud platforms.
Learn and practice SQL commands for querying, cleaning, and analyzing data.
Use GeoPandas to read, manipulate, and analyze geospatial data in multiple formats (Shapefiles, GeoJSON, CSV, Excel, PostgreSQL).
Apply GeoDataFrame operations such as filtering, merging, dissolving, and handling multiple geometries.
Perform mathematical, attribute, and geospatial operations using GeoPandas.
Automate GIS tasks using ArcPy to manage data, perform geoprocessing, and develop custom tools for ArcGIS Pro.
Build automation workflows with ArcPy, including batch processing and cursor methods.
Apply learned skills in two real-world project.
Gain confidence in transitioning from GIS Analyst to GIS Developer by combining Python, SQL, and GIS tools.

Are you a GIS Analyst or beginner who wants to take the next step and become a GIS Developer?
Do you want to learn how to use Python, GeoPandas, Shapely, ArcPy, and SQL to automate workflows, analyze spatial data, and build real-world GIS projects?

If yes, then this course is for you!

In A Beginner's Guide to GIS Programming, you'll learn how to combine programming with GIS to solve real-world geospatial problems. Starting from Python basics, we'll gradually move into powerful libraries and tools used in professional GIS development. You don't need prior programming experience - everything will be explained step by step.

By the end of this course, you'll be able to:

Write and run Python code for GIS in Jupyter Notebook and VS Code

Manage Python environments with Anaconda

Work with Shapely to create and manipulate geometric objects

Store, query, and manage spatial data using PostgreSQL and PostGIS

Use SQL to interact with databases and clean geospatial data

Read, manipulate, and analyze geospatial datasets with GeoPandas

Automate GIS workflows in ArcGIS Pro using ArcPy

Apply your skills in two real-world projects:

Earthquake Analyzer (USGS Earthquake API)

COVID-19 Trend Analysis (John Hopkins dataset)

This course is designed to help you transition from GIS Analyst to GIS Developer, equipping you with the practical programming skills demanded in today's geospatial industry.

Whether you are a student, professional, or researcher, this course will give you the confidence to work with geospatial data programmatically, automate repetitive tasks, and build your own GIS tools.

Join today and start your journey into the world of GIS programming!

Who this course is for:
GIS Professionals
Students willing to learn advanced GIS
GIS Analysts seeking to transition into GIS Developer roles

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