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W5_Tutorial 3
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Statistics for Data Science 1 - W5_Tutorial 3

5.0 (6)
50 learners

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This course includes

  • 51.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Welcome to Week 5 Tutorial 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 In this tutorial, we explore an integrated probability and combinatorics problem that involves multiple scenarios — including coin tosses, dice rolls, and team selection with constraints. Through these examples, you’ll learn to apply the principles of permutations, combinations, and conditional probability to solve complex problems systematically. This session emphasizes structured problem-solving, helping you connect theoretical probability concepts to real-world and applied examples. 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 #probability #combinatorics #statistics #math #coinToss #diceRoll #combinations #permutations #conditionalProbability #problemSolving #lecture #tutorial #mathematics #probabilityProblems #statisticsProblems #quantitativeMethods #dataScienceEducation #discretemath #countingprinciples

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