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What you’ll learn -:
- Apply basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges.
- Apply various data structures such as stack, queue, hash table, priority queue, binary search tree, graph and string to solve programming challenges.
- Apply graph and string algorithms to solve real-world challenges: finding shortest paths
- Solve complex programming challenges using advanced techniques
The course 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.
This course contains of these below mentioned topic:
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:
- Beginner who have little programming experience , willing to learn and pursue data science career.
