Statistics for Data Science 1 - W4_L7: Association between two numerical variables - correlation

Welcome to Week 4 Lecture 7 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 introduces correlation, a statistical measure that quantifies the strength and direction of a linear relationship between two numerical variables. Building upon the concept of covariance, you’ll learn how correlation standardizes the relationship by removing units, resulting in a coefficient that ranges between -1 and +1. The lecture covers how to calculate and interpret the correlation coefficient using both formulas and Google Sheets. Through real-world examples such as house size vs. price and car age vs. value, you’ll gain an intuitive understanding of how correlation helps assess and interpret linear associations in data. 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 #correlation #statistics #covariance #linearRelationship #PearsonCorrelation #correlationCoefficient #dataAnalysis #GoogleSheets #scatterplot #variables #statisticalAnalysis #dataScience #regression #regressionAnalysis #metrics #QuantitativeMethods #BivariateAnalysis #StatisticalLearning #DataInterpretation