Environmental Statistics Course
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Syllabus
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Summary
The importance of mathematics is evident, more in current times, where technological advances allow the use of new techniques, more effective and rapid, for the interpretation and analysis of the environment. When working with environmental data, the sampling network is an essential factor in obtaining good results. The importance of establishing a network that is representative, identifying the most significant points and the interpretation of the results are, in many occasions, limiting factors to develop a good job. This course provides the necessary knowledge to function professionally in the analysis and interpretation of environmental data through statistical treatment.
Goals
Professional opportunities
To prepare you
The importance of mathematics is evident, more in current times, where technological advances allow the use of new techniques, more effective and rapid, for the interpretation and analysis of the environment. When working with environmental data, the sampling network is an essential factor in obtaining good results. The importance of establishing a network that is representative, identifying the most significant points and the interpretation of the results are, in many occasions, limiting factors to develop a good job. This course provides the necessary knowledge to function professionally in the analysis and interpretation of environmental data through statistical treatment.
Who is it addressed to?
The environmental statistics course is aimed at environmental professionals they carry out, or are going to perform, field work and subsequent interpretation of the data. Agriculture, environment, geographers and related. Extendable to various engineering such as those who work with drones or satellite images.
Official Character
This training is not included in the scope of official regulated training (Infant Education, Primary Education, Secondary Education, Official Professional Training FP, Baccalaureate, University Degree, Official University Master and PhD). It is therefore a complementary and/or specialization training, aimed at acquiring certain skills, skills or aptitudes of a professional nature, being able to be barely as merit in workbags and/or opposition competitions, always within the complementary training section and/or continuous training being always essential to review the specific requirements of the public labor stock of the public labor stock market.
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