Introduction to Location Data and Geospatial Analysis

Every day, massive amounts of data are tied to specific physical locations, yet unlocking the value of this geographic information requires a solid understanding of how spatial data is structured. This course introduces you to the core concepts of location data, helping you transition from general data analysis to specialized geospatial visualization. You will start with foundational definitions, terminology, and coordinate systems before moving on to practical data preparation workflows. By completing this text-only course, you will be able to confidently identify, structure, and clean spatial datasets for use in modern mapping tools and analysis pipelines. What you'll learn: - Understand the core differences between vector and raster location data types - Identify coordinate reference systems and map projections to avoid alignment errors - Structure geographic files such as GeoJSON, Shapefiles, and GeoTIFFs for analysis - Clean and prepare raw location coordinates for mapping software - Apply basic spatial queries to filter data by proximity and boundary intersections - Organize attribute data linked to geographic features for clear visualization This course begins with essential terminology and the mathematical foundations of positioning, followed by a step-by-step breakdown of how vector points, lines, polygons, and raster grids function in practice. You will then explore modern data formats and learn how to structure spatial datasets using standard industry practices. This course is designed for beginners, data analysts, and researchers who want to expand their skills into geospatial analysis. No prior experience with geographic information systems (GIS) or mapping software is required. Start reading to unlock the power of geographic insights in your data analysis projects today.