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.
- 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
8 GISP Credit Hours
You can also register for classes using our registration form.