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Using R for Geostatistical Geospatial Modeling
Using R for Geostatistical Geospatial Modeling is the second course in a series of three, designed to teach you the art and science of geostatistical geospatial modeling. In this course, you will delve into the world of geostatistical geospatial modeling, using R, a widely-used interpretive coding language that is both user-friendly and immensely powerful.
This course builds upon the foundations laid in Course #1, Basic Principles of Geostatistical Modeling, taking your understanding of geostatistical geospatial modeling to the next level. You will learn how to code basic machine learning algorithms and geostatistical spatial models to solve real-world problems. By the end of this course, you will have a solid understanding of the principles and techniques of geostatistical geospatial modeling, and be able to apply them in your own work with confidence.
Duration
4 Months
Institution
Case Western Reserve University
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Case Western Reserve University.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$263
Total Est. Investment
$263
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Using R for Geostatistical Geospatial Modeling program at Case Western Reserve University are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.