Acquire knowledge of statistics concepts for solving statistical problems in geography, environmental science, and GIS.
Statistical geography adds a geographical dimension to statistics. Statistical geography separates the region of interest where figures are collected into geographic categories called statistical areas, which allows the user to see not only how the information varies but also where it differs. Arthur Lembo - Instructor designed the Statistical Problem Solving in Geography online certification, which is delivered by Udemy.
Statistical Problem-Solving in Geography online training comprises more than 11.5 hours of video-based learning resources that focus on providing participants with a detailed understanding of statistical concepts and how they are used to overcome statistical problems in geography to develop their quantitative skills. Statistical Problem-Solving in Geography online classes cover topics such as statistical analysis, point pattern analysis, area pattern analysis, normal distribution, ANOVA, probability, dispersion, descriptive statistics, inferential statistics, and more.
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Udemy
After completing the Statistical Problem Solving in Geography certification course, participants will acquire a thorough understanding of the concepts of geography as well as will learn about the functionalities of geographical data for solving problems in geography and GIS. Participants will explore the strategies involved with statistical analysis, point pattern analysis, area pattern analysis, normal distribution, dispersion, probability, and ANOVA for solving statistical problems. Participants will learn about fundamentals associated with central tendency, data types, descriptive statistics, and inferential statistics.
Dr Arthur Lembo Professor SU Salisbury
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