ArcPy for Data Management and Geoprocessing with ArcGIS Pro: Udemy Course

Unlock the Power of ArcPy: Elevate Your GIS Skills with Data Management and Geoprocessing in ArcGIS Pro!

Course banner

Are you ready to take your GIS skills to the next level? Dive into the world of ArcPy with our comprehensive course, “ArcPy for Data Management and Geoprocessing with ArcGIS Pro.” This isn’t just another course—it’s your ticket to standing out in the competitive GIS landscape.

Why Choose This Course?

In high demand across industries, ArcPy and automation within ArcGIS Pro are essential skills. This course is designed to equip you with the tools to not just keep up but to excel in the field. As the saying goes, “a little code goes a long way,” and with ArcPy, you’ll discover how true that is.

What Sets This Course Apart?

Data Management Mastery: Unlock the secrets of effective data management practices, a critical but often overlooked aspect of GIS. Learn how good data practices pave the way for seamless automation.
List Magic: Delve into the power of lists in ArcPy. Create lists of workspaces, feature classes, and fields, and execute actions with precision. Leverage lists and descriptions to generate a comprehensive data catalog.
Domains and Subtypes Demystified: Raise your data validation game by exploring domains and subtypes. Understand how to enforce data integrity, categorize data, and set default values for enhanced data management.
Template Creation and Standardization: Use ArcPy to create templates and standardize your data structures. From file geodatabases to feature datasets and feature classes, learn to streamline your workflows.
Excel Integration: Embrace the role of Excel in GIS society. Explore conversion tools, create point datasets from Excel files, and harness the diverse data conversion capabilities offered by ArcPy.

The Core of ArcPy: Cursors and Beyond!

Daily Routine with Cursors: Cursors are your daily companions in the world of ArcPy. Master Search, Update, and Insert Cursors to read and write attributes and geometries effortlessly.
General Data Management Tools: Dive into a plethora of general data management tools that facilitate data management, processing, and workflows. Learn to perform checks, join datasets, and ensure data integrity.

Geospatial Analysis and Automation

Analysis Tools Unleashed: Leverage ArcPy for geospatial analysis, including everyone’s favorite—Buffer. Discover the power of repeatable analysis through automation.
Selective Processing with ArcPy: Select and process subsets of data using ArcPy’s powerful tools like Select Layer by Attribute and Select Layer by Location.

Capstone: Create Your Custom ArcTool!

Bring it all together by creating a custom ArcTool for seamless integration into ArcGIS Pro. Chain geoprocessing tasks to achieve your desired output effortlessly.

About Your Instructor, Glen Bambrick

With over 16 years of GIS and geospatial data experience, Glen Bambrick is your guide to mastering ArcPy. Benefit from his extensive expertise, with over half of his career dedicated to standardizing and automating workflows using ArcPy on major projects.

What You’ll Gain

Fundamentals Mastery: Acquire a deep understanding of ArcPy for data management, manipulation, creation, and analysis.
Workflow Efficiency: Learn to perform repetitive tasks with ease, saving time and increasing productivity.
Nuanced Knowledge: Gain insights into nuances and discover multiple tools for achieving similar outputs.


This course is tailored for those with basic Python knowledge and some familiarity with ArcGIS Pro. No prior experience with ArcPy is necessary—we’re here to guide you every step of the way.

Stand Out from the Crowd—Enroll Today!

Don’t miss out on this opportunity to distinguish yourself in the GIS arena. Whether you’re a seasoned professional or just starting, our course is your gateway to unlocking the full potential of ArcPy. Enroll now and position yourself at the forefront of GIS innovation!

Leave a Comment

Your email address will not be published. Required fields are marked *