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[Intermediate] Spatial Data Analysis with R QGIS & More

Learners: 5,911

Instructor: Minerva Singh

Duration:

Enhance your spatial data analysis expertise with R, QGIS, and more in our intermediate-level course. #SpatialAnalysis #GIS #DataScience▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2022-10-09

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 21st, 2023]

What skills and knowledge will you acquire during this course?
By taking this course, you will acquire the skills and knowledge to perform spatial data analysis using R, QGIS, GRASS, and Google Earth. You will learn advanced GIS tasks, including automated workflows, geo-referencing, interpolation, mapping spatial data, and detailed vector processing. Additionally, you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data. The course is taught by Minerva Singh, a PhD graduate from Cambridge University, UK, with research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. The course focuses on practical applications and provides real spatial data from different sources for hands-on learning. You will also have access to all the data and R code files used in the course.

How does this course contribute to professional growth?
This course, titled "Intermediate Spatial Data Analysis with R QGIS & More," contributes to professional growth by providing practical training with real spatial data from different sources. It aims to develop advanced GIS skills and perform spatial data analysis using free tools such as QGIS, R, GRASS, and Google Earth. The course is taught by Minerva Singh, a PhD graduate from Cambridge University, UK, with research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. By completing this course, individuals will become proficient in R and QGIS for spatial data analysis, as well as gain knowledge in using GRASS. The course takes a practical approach, teaching users various application/processing techniques that can be easily applied. It covers complex GIS techniques and focuses on working with real spatial data. Overall, this course enhances GIS skills in a demonstrable and tangible manner, making individuals more attractive to employers.

Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education.