Data Analysis with ArcGIS Pro 3.x and Python

8 GISP Credit Hours

Course Modules
  • Module 1: The Arcpy Data Access Module
  • Module 2: Creating Charts and Graphs with Arcpy
  • Module 3: Creating Custom Geoprocessing Tools
  • Module 4: Using Pandas for Data Analysis

In our Data Analysis with ArcGIS Pro 3 and Python course you will learn intermediate level Python skills with ArcGIS Pro to automate your geoprocessing tasks.

In Module 1 we’ll cover the Arcpy Data Access module which allows you to insert, update, and delete data from feature classes and tables. In addition, this module also allows for the creation of edit sessions, examination of domains and versions, and creating a read only view of data. You’ll also learn how to use the Describe function to get descriptive information about GIS datasets.

In Module 2 you’ll learn how to use the new Arcpy Charts module to create a variety of charts and graphs and associate them with feature layers and tables. The arcpy.charts module, released with version 2.9 of ArcGIS Pro, allows you to visualize and explore your data to help uncover patterns, relationships, and structure that might not be apparent when looking at a table or map. Charts and graphs can be created programmatically using data found in feature layers or tables. Pro supports the creation of many types of charts including bar, box, calendarheat, dataclock, histogram, line, matrixheat, scatter, and others.

In Module 3 of the course we’ll examine the creation of custom ArcGIS geoprocessing script tools through the use of Python Toolboxes and custom ArcGIS Toolboxes. Custom ArcGIS geoprocessing tools provide a visual interface for your Python geoprocessing scripts and can be used in custom toolboxes, ModelBuilder, and Tasks. There are a few advantages to attaching your scripts to script tools including the ability to write messages to the progress dialog, provide a familiar, intuitive user interface for your users, and the ability to include documentation for your users.

Finally, in Module 4 you’ll learn how to use the open-source Pandas library for a variety of data analysis techniques. Pandas is currently the most popular Python module for data analysis and manipulation. Like the rest of Python, the Pandas library is open source and can be used separately from ArcGIS Pro. However, it is also installed with ArcGIS Pro so you can use it with arcpy. The primary data structure for Pandas is the DataFrame, which is essentially an in-memory table structure consisting of columns and rows. Pandas also includes many built in functions for data manipulation and analysis.

This course is offered in a variety of formats including live-classroom, live-online, and self-paced. This is a hands-on style workshop with lots of exercises designed to teach you how to automate your ArcGIS Pro geoprocessing tasks with Python.

Live Online Classes

None at this time



Don’t want to purchase online? You can also register for classes using our registration form.

Knowledgeable instructor, well paced class, applicable information covered, hands-on style.

Brandon Clark, Alabama Power

I strongly and highly recommend it

Matt Gubitosa, U.S. EPA

I really enjoyed the Python/ArcGIS course. For me the right balance between detail and overview. Good work!

Pal Herman Sund

I thought the course was very organized. The style of presentation and the lesson format worked well together. It made the information easy to understand. -

Kyle Lockhart, Escambia County, FL

Class was well organized, well paced and I learned a lot.

Aleeta Zeller, Chattanooga RPA

These courses are great. I am so pressed for time this is the only way I can acquire extra skills these days. Thank you Eric for all your hard work!

Chris Hickin, NYC Fire Dept.

I have attended a number of instructor lead training courses offered by ESRI, which are great in their own right, but the Mastering the ArcGIS Server JavaScript API course gets much more in-depth than they often do. I really liked the recommended reading, they helped expand the terms being covered in lecture to concrete examples that could be related back to my work more directly instead of just having the lecture and exercises alone. I learned a lot andwill recommend this and other GeoSpatial Training courses to the GIS'ers I know. Thanks for putting this course together and offering it.

Jason Warzinik, Boone County, MO

Really good course material. Very relevant subject matter.

Michael Philp, City of Springville, UT

Definitely got me "over the hump" of being able to grasp Python.

Joseph Monti

Very informative and knowledgeable course. It help determine which direction I should take my further GIS and web programming skills.

Chris Pollard, Delaware Valley Regional Planning Commission

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