Statistics for Data Science 1 - W3_L5 - Describing numerical data - percentiles, quartiles, and interquartile range

Welcome to Week 3 Lecture 5 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 percentiles and quartiles, key tools for understanding data distribution and variability. You’ll learn how to calculate them both manually and using Google Sheets, including a comparison of different algorithms. The session also introduces the five-number summary — minimum, first quartile (Q1), median, third quartile (Q3), and maximum — and the interquartile range (IQR) as a robust measure of dispersion. We conclude with a recap of how to summarize numerical and categorical data types, frequencies, and central tendency measures, providing a complete overview of descriptive statistics in practice. 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 #Percentiles #Quartiles #Statistics #DataAnalysis #GoogleSheets #FiveNumberSummary #InterquartileRange #IQR #DataDistribution #DescriptiveStatistics #Median #Q1 #Q3 #NumericalData #CategoricalData #Frequencies #DataSummary #DescriptiveSummary #Mean #Variance #CentralTendency #Dispersion #DataInterpretation #IITMadras #OnlineLearning #BSProgramme #StatisticsForDataScience #DataScience