#Categorical Data Analysis

Learn to apply Chi-Square tests for categorical data analysis, including hypothesis testing, p-value interpretation, and implementation in Excel, Python, and R. Gain practical skills for statistical inference.

In this video, the we will walk you through a case study on Customer data of a financial institution. The objective of the case study is to reduce expenses by targeting only those customers who are likely to subscribe using predictive modeling.

Learn fundamental concepts of inferential statistics, including data collection, hypothesis testing, and statistical analysis techniques for making data-driven inferences and decisions.

Explore multinomial logistic regression, covering introduction and multiple regression concepts for analyzing categorical outcomes with more than two levels.

Explore types of qualitative response models, focusing on logit models and their applications in statistical analysis.

Explore multinomial regression models, including types and the multinomial logit model. Learn key concepts and applications in statistical analysis.