*Course objective* This course provides an introduction to basic multivariate statistics and data analysis using SPSS, a powerful statistical software package. It covers essential techniques for analyzing multiple variables simultaneously, enabling students to handle complex data structures and derive meaningful insights.
*Paper 1- Introduction to multivariate data analysis*: Introduction to Univariate and bivariate statistics, importance and applications, data cleaning and transformation, handling missing values, and assumptions of multivariate data analysis.
*Paper 2- Introduction to Principal component analysis*: Assumptions, steps, and analysis with SPSS, interpretations, and applications.
*Paper 3- Regression*: Principles, assumptions, hierarchical and stepwise regression, interpretation and logistic regression: binary and multinomial logistic regression. Assumptions and model building in SPSS.
*Paper 4- Multivariate analysis of variance(MANOVA)*: Concept and applications, performing MANOVA in SPSS, post-hoc test, and interpretation; Discriminant function analysis.
*Paper 5- Practicum*
*Duration*: 3 months
*Fees*: Rs.5k and Rs.4.5k after 25th June.*Installment scheme is available*
*Who can join*- Postgraduates.
Registration: https://forms.gle/LbZc6YKcM9FKu1nc6
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