In 2020, Esri will add Spatial Data Science: The New Frontier in Analytics to its popular collection of massive open online courses (MOOCs). Data scientists, GIS analysts, and others with a strong background in statistics and analytics are the target audience for this free, six-week course.
Recognizing users’ strong interest in the emerging field of spatial data science, the course demonstrates how incorporating spatial data, tools, and methods enhances analytical and predictive models through hands-on exercises, performing suitability analysis, predictive modeling, time-space pattern mining, and object detection.
Like data science, spatial data science employs methodologies and tools to extract nonobvious and useful patterns from data, enabling practitioners to make predictions. However, by incorporating geographic data and spatial analysis methods, spatial data science adds place-based context and greater insight to the practice of data science.
Using a comprehensive set of analytical methods and spatial algorithms, including machine learning and deep learning techniques, students will work through realistic scenarios and develop iterative analysis workflows, train and optimize models, build compelling information products, and share results.
Coursework includes not only hands-on software exercises but also videos featuring Esri experts, quizzes, and interactive discussions that encourage learners to problem-solve together. Not only are Esri MOOCs free, but they also include access to ArcGIS software for the duration of the course. Attendees should plan to spend three to four hours per week on the course. Esri will award a certificate of completion to everyone who finishes the course.
Sign up for the waiting list for Spatial Data Science: The New Frontier in Analytics.