Spatial Data Analysis

Spatial Data Analysis is a scientific method used for analyzing spatial data or geographic information. This skill covers techniques for processing, interpreting, and presenting data related to geographical or spatial aspects. Coursera's Spatial Data Analysis catalogue teaches you how to leverage this technique to explore, explain, and predict geographical patterns and events. You'll learn about geospatial data types, spatial statistics, geocoding, geospatial visualization, and the use of various geospatial software tools. This knowledge will empower you to handle complex geospatial tasks in fields like environmental science, urban planning, transportation, public health, and more.
13credentials
3online degrees
44courses

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
Complete graduate-level learning without committing to a full degree program.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "spatial data analysis"

  • Status: Free

    Skills you'll gain: Interactive Data Visualization, Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Integration, Heat Maps, Spatial Data Analysis, Data-Driven Decision-Making, Decision Support Systems, Business Intelligence Software, Geospatial Information and Technology, Data Mapping

  • Status: Free

    Skills you'll gain: ArcGIS, Data Presentation, Spatial Data Analysis, Data Visualization, Geographic Information Systems, Geospatial Information and Technology, Geospatial Mapping, Data Import/Export, Data Mapping, Data Manipulation, Data Management

  • Skills you'll gain: Spatial Data Analysis, Artificial Intelligence, Robotic Process Automation, Simulations, NumPy

  • Status: Free Trial

    École Polytechnique Fédérale de Lausanne

    Skills you'll gain: Scala Programming, User Interface (UI), Heat Maps, Data Visualization Software, Interactive Data Visualization, Real Time Data, Big Data, Geospatial Mapping, Data Manipulation, Data Transformation, Apache Spark, Spatial Data Analysis, Web Applications

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Statistical Visualization, Geospatial Information and Technology, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping, Animations

  • Status: Free Trial

    Fred Hutchinson Cancer Center

    Skills you'll gain: Molecular Biology, Laboratory Research, Bioinformatics, Data Literacy, Science and Research, Data Analysis, Spatial Data Analysis, Scientific Methods, Data Processing, Quantitative Research, Informatics, Biology, Data Collection

  • Status: Free

    Skills you'll gain: Google Cloud Platform, Cloud Development, Cloud Computing, Generative AI, Applied Machine Learning, Datamaps, Spatial Data Analysis, Machine Learning, Real Time Data

  • Status: Preview

    University of Illinois Urbana-Champaign

    Skills you'll gain: Geospatial Information and Technology, Geographic Information Systems, Apache Hadoop, Spatial Data Analysis, Geospatial Mapping, Spatial Analysis, Big Data, Matplotlib, Data Processing, Computational Thinking, Distributed Computing, Data Manipulation, Python Programming