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Spatial Data Science

What is Spatial Data Science?

Spatial Data Science is a subset of Data Science that focuses on the characteristics of spatial data.

The spatial data science allows analysts to extract deeper insight from data using a comprehensive set of analytical methods and spatial algorithms, including machine learning and deep learning techniques.

Spatial Analytics and Data Science

Spatial Analysis and Data Science, discusses how data engineering can be the most difficult and time consuming part of data analysis, and how new tools in ArcGIS Pro 2.8 will make these processes easier, to construct, format, clean, and integrate your data before it can be analyzed.

Data Science and ArcGIS

ArcGIS is a comprehensive analytics platform for data scientists. It enables you to unlock your data’s full potential by integrating data exploration, statistical and machine learning algorithms, and advanced modeling techniques.

Esri MOOC Spatial Data Science

Esri officially open a free Spatial Data Science: The New Frontier in Analytics Massive Open Online Courses (MOOCs) in 2020.

In this course already join over 15,000 people from around the globe. Over six weeks, participants will explore the power of spatial data science and discover the latest ArcGIS capabilities for machine learning, deep learning, predictive modeling, and more.

The course following:

  • Step-by-step exercises, videos, quizzes, and discussion
  • Access to ArcGIS Pro, ArcGIS Online, and ArcGIS Notebooks
  • Certificate for course completion

Spatial Data Analytics Conference

Spatial data science conference present for solve the spatial problems.

Its take a deeper dive into GeoAI, spatial stats, suitability analysis, network analysis, graph analytics, real-time analytics, and more.

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