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Environmental data analysis

"Introduction to the analysis of environmental data with Statistics for Data Analysis"
"The analysis of variance in the analysis of environmental data with Statistics for Data Analysis"
"Regression analysis in the analysis of environmental data with Statistics for Data Analysis"

Webinar cycle "Data analysis in the environmental field withStatistics for Data Analysis"

Why is statistics important for  the analysis of environmental data? Because it allows you to explore experimental data in order to: briefly describe the information, highlight the implicit relationship structures (patterns) that run through them and derive interpretative and predictive models of reality.

2.1 Webinar "Introducing Environmental Data Analysis with Statistics for Data Analysis"

  • detection of outliers

  • data control

  • exploration of the dataset

  • practical examples with Statistics for Data Analysis

2.2 Webinar "The analysis of variance in the analysis of environmental data with Statistics for Data Analysis"

  • the variance components related to monitoring

  • sampling

  • analytical uncertainty

  • practical examples with Statistics for Data Analysis

2.3 Webinar "Regression analysis in the analysis of environmental data with Statistics for Data Analysis

  • simple linear regression

  • multiple linear regression

  • prediction of a phenomenon

  • practical examples with Statistics for Data Analysis

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