Welcome to the Chemometrics and Applied Statistics lecture repository! 🎓 This repository contains the lecture materials I have prepared for master's students in water science and environmental toxicology. The course connects the principles of analytical chemistry with applied statistics and data science, offering practical insights and tools for solving complex environmental data challenges.
The lecture is hosted as an interactive presentation using reveal.js. Click the link below to start exploring:
👉 Chemometrics and Applied Statistics Lecture
The lecture covers a wide range of topics, including:
- Introduction to Chemometrics: Understanding the role of data science in analytical chemistry.
- Probability Distributions: Uniform, Normal, Cauchy, t, and F distributions, with applications to environmental datasets.
- Regression Analysis: Linear regression, minimizing the sum of squared errors, and practical examples.
- Principal Component Analysis (PCA): Concepts, steps, and applications.
- Moment Analysis: PDF, CDF, and interpretation of statistical moments.
- Statistical Testing and ANOVA: Frameworks for comparing environmental data across multiple variables.
- And many more
- Interactive Presentation: Built with reveal.js, featuring parallax effects and smooth navigation.
- Real-World Examples: Focused on environmental analysis, making complex concepts relatable.
- Practical Exercises: Designed to enhance understanding of tools and interpretation of results.
- reveal.js: For creating and hosting the interactive presentation.
- GitHub Pages: Hosting the lecture online.
- Jupyter Notebooks (coming soon): Supplementary materials for hands-on exercises.
- Clone the Repository:
git clone https://github.com/gere87/chemometrics_lecture.git