A  beginner‑friendly introductory course focusing on the what, how, where, why and when of chemometrics, including:

1. What chemometrics is

• The classification of chemometrics, pattern recognition methods with supervised and unsupervised learning and multivariate calibration
• What defines chemometrics and the common terminology used like variables and regression
• Different types of chemometric techniques, covering both univariate analysis and multivariate analysis
• What features of chemometric approaches can be best for analytical workflows

2. How chemometrics works

• The core principles of chemometrics
• How to use regression, univariate and multivariate analysis
• How pre-processing methods are used and, methods including data scaling, normalisation, alignment and baseline correction are implemented
• How principal component analysis (PCA) aids in data cleaning and pre-processing techniques
• How chemometrics can be applied to various analytical chemistry techniques

3. Where chemometrics is involved

• The uses of chemometrics in comparative studies between different data sets or methods
• Chemometrics use in the fields of metabolomics and disease identification
• Where chemometrics can be used in validation, experimental design, method development and dimension reduction methods like partial least square regression (PLSR)

4. Why we use chemometrics

• The use of chemometrics for quantitative data analysis
• Why chemometrics can be used with analytical chemistry data
• Why pattern recognition methods are used for data analysis like hierarchical cluster analysis (HCA)

5. When chemometrics is the right choice

• Real animated examples across the food and drink, pharmaceutical, flavour and fragrance industries and in forensic science
• Where each chemometric method may be beneficial based on the data and method that is being used

By the end of the course, you will:

• Understand the principles and concepts of chemometrics
• Know the terminology behind chemometrics and how to apply statistical analysis in analytical workflows
• Feel confident discussing chemometrics and mathematical statistics in chemistry
• Understand the different types of chemometric techniques available
• Be familiar with common chemometric processes and how they can be applied to chemical data
• Comprehend the theories behind statistical and modelling methods

This course gives you the language and understanding needed to use chemometrics with everyday analytical chemistry data.

This training is designed for anyone who needs an introduction to chemometrics, including:

• For beginners to chemometrics
• Analysts & technicians wanting a clear, structured refresher
• Laboratory or line managers overseeing analytical data
• Data analysts and report writers who interpret results but don’t use the instruments
• Service and consultant engineers who need a chemistry-focused viewpoint
• Sales, marketing or commercial teams working with analytical chemistry data

Delegates must have a good understanding of analytical science and ideally have in-depth knowledge of at least one analytical chemistry technique that can produce data used in chemometrics

If chemometrics touches your work in any way, this well-planned course delivered by experts in the field equips you to understand the use of chemometrics in everyday analytical chemistry.