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Welcome to Week 1 Lecture 3 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 the core ideas behind classifying data and understanding its types. You will learn how to differentiate between categorical and numerical data, which forms the basis for effective statistical analysis. Through examples from everyday contexts—such as names, gender, marks, weights, dates, and purchase amounts—you will see how various data types are represented and used in real datasets. The lecture also demonstrates how to interpret a sample data table to identify variable types and their roles in data analysis. By the end of this session, you will have a clear understanding of how data classification helps structure information for meaningful insights. 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 #DataClassification #CategoricalData #NumericalData #DataTypes #DataAnalysis #Variables #DataTable #Statistics #IITMadras #OnlineLearning #Education #DataScience #BSProgramme #StatisticsForDataScience #Analytics
