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Combinatorics is a branch of mathematics that opens the door to a fascinating world of counting, arranging, and selecting elements-and it silently powers much of what happens in data science. Whether we are calculating the number of possible user IDs, analyzing feature combinations in a dataset, or designing a machine learning model, combinatorics helps us understand how many ways things can happen.At its core, combinatorial reasoning sparked the birth of ‘probability' in the 17th century.This beginner's course introduces combinatorics from the basics. It is suitable for both aspiring data analysts or data scientists, as well as experienced machine learning developers who want to deepen their understanding of combinatorics. Each combinatorial technique is executed in Python programming environment also, so that you can perform counting tasks in Python immediately.By end of this course, you will be able tounderstand counting arrangements and permutationsgrasp the concept of counting combinationsdistinguish between with-replacement cases and without-replacement casesunderstand counting arrangements of digits to form distinct numbersarrange and select elements from a multisetunderstand arrangement of elements or people in circular formcount the possible number of bracelets and necklaces made from certain number of gemstonesapply inclusion-exclusion principle with the help of Venn-diagramexplore combinatorics based on set theoryimplement combinatorial logic using PythonLet's dive into amazing world of permutations, combinations. See you inside the course!

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