Develop essential mathematics skills with expert instruction and practical examples.
PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES. -------------------------------------------------------- DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH. -------------------------------------------------------- This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data.
In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software. GRASS. This course takes a completely practical approach to spatial data analysis and mapping- Each lecture will teach you a practical application/processing technique which you can apply easily.
The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences. The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills.
You'll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.
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