Statistics for Data Science 1 - W4_L1: Association between two variables - review of course

Welcome to Week 4 Lecture 1 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 offers a complete review of foundational statistical concepts covered so far in the course. We revisit the two main branches of statistics — descriptive and inferential — and emphasize the tools of descriptive statistics used to summarize and interpret data. The session covers categorical and numerical data types, scales of measurement (nominal, ordinal, interval, and ratio), and the construction of frequency tables for both types of data. We also review measures of central tendency (mean, median, and mode) and measures of dispersion (range, percentiles, and quartiles). By the end of this lecture, learners will be able to classify data accurately, select appropriate measurement scales, and apply graphical and numerical methods for effective data summarization. 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 #statistics #introductiontostatistics #descriptivestatistics #datatypes #categoricaldata #numericaldata #scalesofmeasurement #nominalscale #ordinalscale #intervalscale #ratioscale #frequencytable #relativerequency #piechart #mode #median #mean #measureofcentraltendency #range #percentiles #dataanalysis #datasummarization #variables #IITMadras #OnlineLearning #BSProgramme #StatisticsForDataScience