Course Description

The course is organized in four modules apart from two introductory sessions. Following is the organization of these modules.

First module is introduction to basic statistical concepts and their application.  Eight sessions are planned. Different techniques of univariate, bivariate and multivariate analysis are included in these sessions. Refer to fourth module on how they will be learned in hands-on manner.

Second module is GIS workshops. This is repeat of a workshop (held in 2024) by an external resource person – Rashmi Nayyar. Rashmi is alumni of MPP programme and doctoral candidate at BITS Pilani.

Third module is about how to produce data. There are seven sessions in this module, and each session is planned as demonstration session of tools, where students will either co-create a tool in small teams or observe to critique a method.

Fourth module is set of nine labs which will run concurrently with other modules on one day per week. These are hands on sessions where students will be given data sets on which different data analysis techniques will be practiced. We will be using NSSO data primarily. First two sessions of lab will be using excel. After that, we will transition to SPSS software. Different sessions are planned in such a way that towards the 9th lab students should comfortably do logistic regression, and do interpretation of coefficients.