Are you interested in better understanding your data, and not so interested in mastering a programming language? Have you tried learning R from a Book or Website, but have been discouraged? If so, this the course for you. We assume that you've never programmed before (although some experience doesn't hurt) and we teach you the best tools to help analyze your data.
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…