Data Analysis and Applied Statistics in Wood Sciences

• Introduction to Statistics and the Scientific Method

                       Scientific Approach

                       Data Structuring

                       Descriptive Statistics

                       Overview of Analytical Methods

                       A Critical Look at Statistics

• Univariate Analyses

                       Comparison Tests

                       Distribution Compliance

                       Simple Regression and Analysis of Variance/Covariance

• Multivariate Analyses

                       Correlations and Principal Component Analysis

                       Multiple Linear Regression

                       Nonlinear adjustments

• Classification and Discrimination

                       Classification (supervised, unsupervised)

                       Segmentation and Discrimination

• Statistical Analysis Tools

                       Introduction to R Software

The "Data Analysis" course aims to teach the main methods of statistical analysis, enable students to develop a rigorous analytical approach, and foster critical thinking regarding the interpretation of results.

• Understanding the Role of Statistics in a Rigorous Scientific Approach
• Organizing data for analysis
• Formulating an analytical requirement in statistical terms
• Perform univariate and multivariate statistical analysis
• Interpreting the Results of Univariate and Multivariate Analyses
• Understand the main segmentation methods
• Working with Data in R
• Using R functions to analyze data