Statistics for Data Science 1 - W1_L2: Introduction & types of data - understanding data

Welcome to Week 1 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 In this lecture, we take a closer look at what data truly represents and how it forms the foundation of statistical analysis. You’ll learn how data arises from real-world contexts such as spending patterns, surveys, or experiments, and how it can be systematically collected and organized. The session introduces key ideas about variables and features within datasets and explains how consistent data organization is crucial for effective analysis. We also discuss the distinction between missing data and zero values—an essential concept for maintaining accuracy in interpretation. This lecture builds your understanding of the structure and meaning behind data, setting the stage for deeper exploration into statistical methods. 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 #Data #DataAnalysis #Dataset #DataCollection #DataOrganization #Variables #Features #Statistics #Information #Analytics #IITMadras #OnlineLearning #DataScience #Education #BSProgramme #StatisticsForDataScience