SCIENCE4U - Workshops/Trainings

3 Days Workshop / Training

Multivariate Analysis for PAT and QbD Applications

March 28 to 30, 2024

to be announced, Bangalore, India

Limited Seats: Registration Closing Soon

For Registration:

Please email your contact details to

contact@science4u.co.in

+91 95913 79494 / +91 94822 27155

Multivariate Analysis for PAT and QbD Applications

There are many conferences, guidance documents, and committees discussing the benefits and opportunities of the PAT and QbD initiatives, but where do you actually start? It all starts with data analysis and informatics. The course will provide an overview of how Design of Experiment (DoE) and Multivariate Analysis (MVA) can be applied to R&D and Manufacturing based data for meeting the many objectives of QbD and PAT initiatives in your environment. This course is aimed at the application of Chemometrics tools for manufacturing intelligence, as well as defining the right experiments to perform for efficient trials in R&D, Pilot Scale and in the manufacturing environment. The course aims to both jump start companies that are new to QbD/DOE as well as strengthen the fundamentals for those already working in this schema.

The course will be delivered by industry experts from the pharmaceutical life science and manufacturing industry and provides their insights and experiences that were gained through practical hands on application of methods into real process situations.

Course Contents

Introduction to Chemometrics, QbD and PAT.
Principles of multivariate data analysis (PCA, PLS & Outlier detection).
Relevant data collection.
Multivariate modeling step by step.
Predictions and Classifications.
Detecting and dealing with outliers.
Basic rules for successful data analysis.

Exercises will be geared to pharma and foodsciences applications. No prior knowledge of chemometrics or chemometrics software like The Unscrambler® or VektorDirekotr® is required to attend our course.

Course is ideal for people who are:

New to chemometrics, multivariate analysis, or wanting a refresher on methodology
Work with complex data sets generated by analytical instruments such as spectrometers and chromatographs.
Process engineers looking at strategies for implementing multivariate statistical process control
Analytical chemists supporting pharma projects
Looking for a systematic approach to calibration model development
Professionals and students who want to apply advanced statistical and mathematical techniques to analyze and interpret complex chemical data sets

Course Fees: Rs. 75,000 + Taxes = Rs. 88,500.00/-

Group discount of 10% for registrations of more than 5 participants from a single company/institute.

Participants from Academia/Universities:
15% discount

The number of seats for the course is limited to 20
Deadline to register:
15 Days before the course start
Payment:
Along with registration

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…