This Forest Ecology module is designed to provide students with a solid understanding of the fundamental principles and importance of forest ecosystems. As a student, you will explore key concepts in forest ecology through a stimulating and interactive educational approach. This module consists of 4 chapters of 1h30 each. During this program, we will cover the following topics: I. Introduction to forests: We will begin by defining what a forest is and explore the different types of forests present in France and Europe. You will learn about the unique characteristics of each type of forest, as well as the factors that influence their development and distribution. II. Forest ecosystems: You will then delve into the complexity of forest ecosystems by exploring the interactions between the different components, such as trees, fauna, micro-organisms and soils. You will understand how these interactions contribute to the resilience and stability of forest ecosystems. III. Mixed plantations: An essential aspect of this course is the examination of the advantages of mixed plantations in the protection of forest resources. You will discover how the diversity of plant species in a forest can promote the conservation of water, soil nutrients and disease resistance. We will also look at sustainable forest management techniques that promote mixed plantations. IV. Importance of forest ecology: Finally, we will discuss the importance of forest ecology in a global context. You will be exposed to the challenges facing forests today, such as deforestation, climate change and biodiversity. We will also explore conservation and sustainable forest management strategies to preserve these essential ecosystems. This course will provide you with a comprehensive view of forest ecology, enabling you to understand the complex interactions within forest ecosystems and the importance of their preservation. You will be encouraged to develop critical thinking and explore innovative solutions to address current environmental challenges. Whether you are a student of biology, environmental science or simply passionate about nature, this course will provide you with the knowledge and tools necessary to understand forest ecology in a deep and inspiring way. Please feel free to send me your comments or ask any additional questions regarding the course content. I am here to help you !

This data analysis course is designed for students as well as individuals or professionals who want to gain a solid understanding of statistics and develop practical skills using R Studio software. As a PhD holder with a double competence in life sciences and statistics, I will guide you through the fundamental principles of biostatistics using concrete examples from the agronomic and forestry fields. During this program, we will cover the following topics: I. Introduction to the basic concepts of statistics: You will learn the fundamental notions such as measures of central tendency, dispersion, probability distributions, hypothesis testing and estimation. II. Data collection and preparation: You will learn best practices for collecting and preparing your data for statistical analysis. We will also discuss common data quality issues and techniques to resolve them. III. Data exploration and visualization: You will explore different methods to visualize your data and extract meaningful insights. We will use graphs and advanced visualization techniques to identify patterns and relationships between variables. IV. Statistical analysis techniques: You will learn to apply common statistical methods such as parametric and non-parametric tests, linear and logistic regression, analysis of variance (ANOVA) and correlation analysis. V. Introduction to machine learning with R: You will learn the basics of machine learning and explore popular techniques such as tree regression, random forests, and classification methods. We'll see how to use these techniques to predict outcomes and make data-driven decisions. This course will focus on practical applications and will use the R Studio software, a reference in the field of data analysis, which is also free to access. You will develop practical skills by manipulating real datasets and applying appropriate statistical techniques to draw meaningful conclusions. Whether you are a student, professional, or simply interested in data analysis, this course will provide you with the foundation to understand and apply statistics in a variety of contexts, with an emphasis on the fields of life sciences and agronomy. Do not hesitate to register and join this course to acquire a strong skill in data analysis and improve your evidence-based decision making.