About this Course
Solve your data challenges.
When starting a GIS mapping or analysis project, a common challenge is assembling the data needed to answer the question or produce the desired output. The datasets you need may be available but at different accuracy levels or include the required geographic features but lack a key attribute. Many issues may make data unusable as-is. This course explores data-preparation techniques that are relevant for a variety of GIS applications. Gain essential skills to assess data quality, address inconsistencies, and deliver valid results from your GIS projects.
Goals
Identify data requirements for a given project and authoritative sources for data acquisition.
Assess a dataset's spatial, temporal, and thematic accuracy; logical consistency; and completeness to determine whether it meets a project's data quality standards.
Apply ArcGIS Pro tools and techniques to address quality issues, correct errors, and create new data that contains the spatial extent, accuracy, and attributes required for a project.
Create metadata to document a dataset's quality so that others can easily assess its appropriateness for their projects.
Suggested Skills
Completion of ArcGIS Pro: Essential Workflows or Migrating from ArcMap to ArcGIS Pro or equivalent knowledge.
Software
Esri India will provide the following software to use during class:
- ArcGIS Pro 3.1 (Advanced)
- ArcGIS Online