LearnSPSS Webinar on Dimensionality Reduction Using Principal Component Analysis (PCA)

Rabindra Library, Assam University, Silchar is pleased to inform faculty members, research scholars, students and staff about an upcoming online webinar organised by LearnSPSS on Dimensionality Reduction Using Principal Component Analysis (PCA).
The webinar will introduce the concepts, practical applications and interpretation of Principal Component Analysis (PCA), one of the most widely used statistical techniques for reducing the dimensionality of complex datasets while preserving essential information.
Event Details
| Date Friday, 24 July 2026 |
Time 3:30 PM onwards |
| Mode Online |
Organiser LearnSPSS |
About the Webinar
This session will focus on the principles and practical implementation of Principal Component Analysis (PCA), demonstrating how the technique can simplify high-dimensional datasets, identify meaningful patterns and support better statistical analysis.
Who Should Attend?
- Faculty members
- Research scholars
- Postgraduate students
- Researchers working with quantitative data
- Anyone interested in statistical analysis using SPSS
Registration
Seats are limited. Interested participants are encouraged to register at the earliest using the QR code or the registration link provided in the event poster.
Note: Please refer to the webinar poster above for complete details, including registration information and event schedule.