Learn to master Data structure Algorithm by understanding concepts through time complexity and implementation in Python3
What you’ll learn
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Apply basic algorithmic techniques such as greedy algorithms, binary search, sorting, and dynamic programming to solve programming challenges.
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Apply various data structures such as stack, queue, hash table, priority queue, binary search tree, graph, and string to solve programming challenges.
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Apply graph and string algorithms to solve real-world challenges: finding shortest paths
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Solve complex programming challenges using advanced techniques
Requirements
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Basic computer programming
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Basic Mathematics knowledge
Description
The course Data structures and Algorithm using Python covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming.
You will learn a lot of theory: how to sort data and how it helps for searching. How to break a large problem into pieces and solve them recursively and it makes sense to proceed greedily.
Implemented all the concepts using Python 3 using Pycharm IDE and explained the time complexity and difficulty of the data structures.
This course contains these below-mentioned topics:
- Recursion.
- Algorithm run time analysis
- Arrays
- Stack
- Linked list
- Data Structure
- Binary Tree
- Binary Search Tree
- AVL Tree
- Heap tree
- Queue
- Sorting
- Hash Table
- Graph Theory
- Magic Framework
- Computer Programming
- Dynamic Programming
Who this course is for:
- A beginner who has little programming experience, willing to learn and pursue a data science career.
Created by Chandramouli Jayendran
Last updated 4/2021
English
Size: 5.06 GB