Workshops / Trainings
Workshops / Trainings
1 Day Workshop / Training

Pre-Conference Workshop on

Chemometrics & AI for Modern Science


Conference: SPECTROMICS - 2026



SCIENCE4U – Pre-Conference Workshop on Chemometrics & AI for Modern Science @ SPECTROMICS - 2026

The purpose of this preconference workshop is to equip senior scientists, young researchers, and students engaged in spectroscopy, metabolomics, and proteomics with essential chemometric principles, hands-on analytical techniques, and practical tools for transforming complex datasets into meaningful scientific decisions..

Chemometrics means performing calculations on measurements of chemical data. The common usage of the word refers to using linear algebra calculation methods to make either quantitative or qualitative measurements of chemical data and primarily spectra. The software is used in a range of industries and research for Exploratory Data Analysis, Descriptive Statistics, Regression Analysis, Classification & Prediction and Design of Experiments.

The topics will be delivered by recognized experts who are well versed in the latest developments of analytical field. The workshop will provide updated information on key issues that are concerned with Chemometrics to participants. The delegates will get hands on use of software on Chemometrics installed in their laptop for 45 days free. The workshop will have presentations and demonstrations on Chemometrics software.

Audience and language
This course is intended for students, specialists, scientists from Pharmaceutical, Food, Agriculture, Environmental, Academia, R&D, QC/QA, and Instrumentation Professionals with an interest in exploring recent advancements in spectroscopy and Chemometrics. No previous experience with statistical software or chemometrics is also expected. The course language will be English

Pre-conference Workshop Agenda
Download Pre-conference Workshop Agenda
SPECTROMICS - 2026
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Terminologies:

Analytical Instruments, Spectrophotometers, NIR, FT-NIR, Raman, GCMS, NMR, HyperSpectral Imaging, multispectral Imaging, Statistical Data Analysis, Chemometrics, Multivariate Data Analysis (MVA), Principal Component Analysis (PCA), Partial Least Square Regression (PLS), PLS Discriminate Analysis (PLS-DA), Quality by Design (QbD), Design of Experiments (DOE), Multivariate Statistical Process Controls (MSPC), Image Analysis, Microscopic Image Analysis, STM, AFM, Peak Analysis, Curve Fitting, Process Monitoring, Factor Analysis, Analysis of Variance (ANOVA), Response Surface Analysis (RSM), Machine Learning(ML), Early Events Detection(EED), Artificial Intelligence(AI), etc…