Overview
Course Description
Data Structures are typically used to organize, process, retrieve and store data on computers for efficient use. Having the right understanding and using the right data structures helps software engineers write the right code.
Important: Data structures are a key component of Computer Science and help in understanding the nature of a given problem at a deeper level. They're widely utilized in Artificial Intelligence, operating systems, graphics, and other fields.
What you'll learn
- Introduction to Static and Dynamic Arrays
- Pre-computational Techniques
- Bucketization & sliding window technique
- Reverse lookups & array rearrangements
- Calculating GCD and LCM
- Primality test on a number & in a range
- Prime factorisation & fast factorisation technique
- Sieve of Eratosthenes & Segmented Sieve
- Fundamental of Modular Arithmetics
- Permutations & Combinations
- Introduction to Time complexity
- Understanding Space complexity
- Order of expressions & recurrence relations
- Recursion tree & recursion stack diagram
- Divide and Conquer algorithmic paradigm
- Backtracking algorithmic paradigm
- Concept of Do and Undo in Backtracking
- Variations of Permutations of a String problem
- Problems on N-Queens & Sudoku solver
- Searching
- Sorting Algorithms
- Two Pointers
- Bit Manipulation
- Hashing
- Stacks
- Queues
- Linked List
- Binary Trees
- Binary Search Trees
- Tries
- Heaps
- Greedy Algorithm
- Dynamic Programming
- Operating Systems
- Database Management Systems
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Assignments
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Completion
Includes
Enrolled: 32
students
Duration: 20
hours
Chapters:
15
Video: 12
hours
Level:
Beginner