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Data Structures and Algorithms in Python
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Updated 05/2025Start Course for Free
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PythonProgramming4 hours16 videos49 Exercises4,050 XP23,642Statement of Accomplishment
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Course Description
Recognize Popular Data Structures and Algorithms
Most computer programs are based on a few data structures and algorithms. Learn about what’s behind the hood of most of your computer interactions in this four-hour course! You’ll familiarize yourself with some of the most common data structures: linked lists, stacks, queues, and trees. You’ll also implement popular algorithms, such as Depth First Search, Breadth First Search, Bubble sort, Merge sort, and Quicksort.Learn to Spot Data Structures and Algorithms in Everyday Life
You'll practice applying data structures and algorithms to decks of cards, music playlists, international dishes, and stacks of books. You’ll walk away with the ability to recognize common data structures and algorithms, and implement them in day-to-day applications!Analyze the Efficiency of Algorithms
Along the way, you’ll stop to analyze popular algorithms in terms of their efficiency. You’ll come to grips with “Big O Notation”, the industry standard for describing the complexity of an algorithm.Sharpen Your Python Programming Knowledge
Being well-versed with data structures and algorithms means being able to take everyday problems and solve them using efficient code. You’ll be practising this in Python, you’ll take these fundamental and transferable skills with you to any programming language.Prerequisites
Introduction to Object-Oriented Programming in Python1
Work with Linked Lists and Stacks and Understand Big O notation
2
Queues, Hash Tables, Trees, Graphs, and Recursion
3
Searching algorithms
4
Sorting algorithms
Data Structures and Algorithms in Python
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