Statistics for Data Science 1 - W4_L2: Association between two categorical variables - introduction

Welcome to Week 4 Lecture 2 of the course "Statistics for Data Science - I" by Prof. Andrew Thangaraj. Full Course: https://study.iitm.ac.in/ds/course_pages/BSMA1002.html Video Overview This lecture explores the association between two categorical variables. It emphasizes that association does not imply causation. Learn how to construct and interpret contingency tables to analyze relationships. The focus is on understanding the association between two numerical variables, along with using relative frequency to determine if there is an association between two category variables. About IIT Madras' online Bachelor of Science programme IIT Madras offers four-year BS programmes that aim to provide quality education to all, irrespective of age, educational background, or location. The BS programme has multiple levels, which provide flexibility to students to exit at any of these levels. Depending on the courses completed and credits earned, the learner can receive a Foundation Certificate from IITM CODE (Centre for Outreach and Digital Education), Diploma(s) from IIT Madras, or BSc/BS Degrees from IIT Madras. For more details, Visit: https://www.iitm.ac.in/academics/study-at-iitm/non-campus-bs-programmes CategoricalVariables #Association #ContingencyTable #RelativeFrequency #DataAnalysis #Statistics #MarketResearch #OrdinalVariables #NominalVariables #PivotTable #GoogleSheets #DataVisualization #BivariateAnalysis #DataScience