The Practical Geospatial Geostatistical Modeling Specialization is designed to equip you with essential skills in analyzing and interpreting spatial data. Through three courses, this program offers a blend of theoretical foundations and practical applications to help you build knowledge and skills that can be applied in fields like environmental science, mining, petroleum geology, forestry, agriculture, and more. You'll learn the foundational principles of geostatistics and geospatial modeling, use R programming to enhance your data science skills, and explore real-world case studies to observe how these techniques can be applied and evaluated.
Practical Geospatial Geostatistical Modeling Specialization
Practical Geospatial Geostatistical Modeling Specialization
Launch Your Career in Geostatistics
Instructor: Jeffrey Yarus
Included with 
Get in-depth knowledge of a subject
Intermediate level
Recommended experience
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Intermediate level
Recommended experience
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Upon completing this specialization, students will have a solid understanding of the principles and techniques of geostatistical geospatial modeling.
Overview
Skills you'll gain
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
June 2025
37 practice exercises
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Specialization - 3 course series
What you'll learn
Skills you'll gain
Geostatistics, Exploratory Data Analysis, Spatial Analysis, Simulation and Simulation Software, Spatial Data Analysis, Correlation Analysis, Statistical Modeling, Box Plots, Histogram, Descriptive Statistics, Statistical Analysis, Data Analysis, Simulations, R (Software), Geospatial Information and Technology, Data Validation, Statistical Methods, R Programming, and Probability & Statistics
What you'll learn
Skills you'll gain
R Programming, Statistical Modeling, Simulations, Ggplot2, Data Cleansing, Spatial Analysis, Descriptive Statistics, Rmarkdown, Exploratory Data Analysis, Box Plots, Geostatistics, Statistical Methods, Data Analysis, and Plot (Graphics)
What you'll learn
Skills you'll gain
Geostatistics, Exploratory Data Analysis, Geospatial Information and Technology, Data Integration, Simulation and Simulation Software, Data Cleansing, Oil and Gas, Data Analysis, Statistical Analysis, Geographic Information Systems, Spatial Analysis, Statistical Modeling, and Estimation
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Frequently asked questions
It's recommended that students who enroll in this specialization have at least taken an introductory course in statistics and at least one course in the geosciences. Familiarity with R or Python is recommended.
Yes, these courses should be taken in order, as the material in each course builds upon the previous one.
The skills and knowledge learned in this Specialization can be applied in fields like environmental science, mining, forestry, agriculture, petroleum geology, and more.
More questions
Financial aid available,