Data Structures & Algorithms (DSA)
Crack Coding Interviews with DSA Mastery.
About This Course
Program Overview
Why Choose This Course?
Problem Solving
Sharpen your analytical skills.
Job Ready
Essential for FAANG interviews.
Optimized
Write highly efficient code.
What You'll Learn
Course Curriculum
- Why is DSA Important?
- Roadmap to Learn DSA
- Asymptotic Analysis
- Analysis of Algorithms (Background)
- Order of Growth
- Best, Average and Worst Cases
- Asymptotic Notation
- Big O Notation
- Omega Notation
- Theta Notation
- Analysis of Common Loops
- Analysis of Multiple Loops
- Analysis of Recursion (Introduction)
- Recursion Tree Method for Solving Recurrences
- More Example Recurrences
- Upper Bounds Using Recursion Tree Method
- Space Complexity
- Count Digits
- Palindrome Numbers
- Factorial of a Number
- Trailing Zeros in Factorial
- GCD or HCF of Two Numbers
- LCM of Two Numbers
- Check for Prime
- Prime Factors
- All Divisors of a Number
- Sieve of Eratosthenes
- Computing Power
- Iterative Power
- Bitwise Operators in CPP (Part 1)
- Bitwise Operators in CPP (Part 2)
- Bitwise Operators in Java (Part 1)
- Bitwise Operators in Java (Part 2)
- Bitwise Operators in Java (Part 3)
- Binary Representation of Negative Numbers
- Check if Kth Bit is Set or Not
- Count Set Bits
- Power of Two
- One Odd Occurring
- Two Odd Occurring
- Power Set Using Bitwise
- Recursion Introduction
- Applications of Recursion
- Recursion Output Practice - Part 1
- Recursion Output Practice - Part 2
- Print N to 1 Using Recursion
- Print 1 to N Using Recursion
- Tail Recursion
- Writing Base Cases in Recursion
- Natural Number Sum Using Recursion
- Palindrome Check Using Recursion
- Sum of Digits Using Recursion
- Rope Cutting Problem
- Generate Subsets
- Tower of Hanoi
- Josephus Problem
- Subset Sum Problem (Recursive Solution)
- Printing All Permutations
- Introduction to Arrays
- Array Types
- Vector in C++
- ArrayList in Java
- Operations on Arrays (Part 1)
- Operations on Arrays (Part 2)
- Largest Element in an Array
- Second Largest Element in Array
- Check if an Array is Sorted
- Reverse an Array
- Remove Duplicates from a Sorted Array
- Move Zeros to End
- Left Rotate an Array by One
- Left Rotate an Array by D Places
- Leaders in an Array Problem
- Maximum Difference Problem with Order
- Frequencies in a Sorted Array
- Stock Buy and Sell Problem (Part 1)
- Stock Buy and Sell Problem (Part 2)
- Trapping Rain Water
- Maximum Consecutive 1s
- Maximum Subarray Sum
- Longest Even Odd Subarray
- Maximum Circular Sum Subarray
- Majority Element
- Minimum Consecutive Flips
- Sliding Window Technique
- Subarray with Given Sum
- Prefix Sum
- Equilibrium Point
- Maximum Appearing Element
- Binary Search (Iterative)
- Binary Search (Recursive)
- Analysis of Binary Search
- Index of First Occurrence in Sorted Array
- Index of Last Occurrence in Sorted Array
- Count Occurrences in Sorted Array
- Count 1s in a Sorted Binary Array
- Square Root
- Search in Infinite Sized Array
- Search in Sorted Rotated Array
- Find a Peak Element
- Two Pointers Approach
- Triplet in a Sorted Array
- Median of Two Sorted Arrays
- Repeating Elements Part 1
- Repeating Elements Part 2
- Allocate Minimum Pages (Naive Method)
- Allocate Minimum Pages (Binary Search)
- Introduction to Greedy Algorithms
- Activity Selection Problem
- Activity Selection Solution in C++
- Activity Selection Solution in Java
- Fractional Knapsack Problem
- Fractional Knapsack in C++
- Fractional Knapsack in Java
- Job Sequencing Problem
- Huffman Coding (Introduction)
- Huffman Algorithms
- CPP Implementation of Huffman Coding
- Java Implementation of Huffman Coding
- Concepts of Backtracking
- Rat in a Maze
- N Queen Problem
- Sudoku Problem
- Introduction to DP
- Dynamic Programming Memorization
- Dynamic Programming Tabulation
- Longest Common Subsequence (Part 1)
- Longest Common Subsequence (Part 2)
- Variation of LCS
- Coin Change (Naive Recursive Solution)
- Coin Change (DP Solution)
- Edit Distance Problem
- Edit Distance Problem DP Solution
- Longest Increasing Subsequence Problem
- Longest Increasing Subsequence in O(nlogn)
- Variation of LIS (Part 1)
- Variations of LIS (Part 2)
- Maximum Cuts
- Minimum Coins to Make a Value
- Minimum Jumps to Reach End
- 0-1 Knapsack Problem
- 0-1 Knapsack Problem DP Solution
- Optimal Strategy for a Game
- Egg Dropping Puzzle - Part 1
- Egg Dropping Puzzle - Part 2
- Count BSTs with n Keys
- Maximum Sum with No Two Consecutive
- Subset Sum Problem (Recursive Solution)
- Subset Sum Problem (DP Solution)
- Matrix Chain Multiplication
- Matrix Chain Multiplication (DP Solution)
- Palindrome Partitioning
- Allocate Minimum Pages (Naive Method)
- Allocate Minimum Pages (DP Solution)
- Trie Data Structure (Introduction)
- Trie (Representation, Search, and Insert)
- Trie Delete
- Count Distinct Rows in a Binary Matrix
- Segment Tree (Introduction)
- Constructing Segment Tree
- Range Query on Segment Tree
- Update Query on Segment Tree
- Binary Indexed Tree (Introduction)
- Binary Indexed Tree (An Example Problem)
- Binary Indexed Tree (Prefix Sum)
- Binary Indexed Tree (Prefix Sum Implementation)
- Binary Indexed Tree (Update Operation)
- Binary Indexed Tree (Construction)
- Disjoint Set Introduction
- Find and Union Operations on Disjoint Sets
- Union by Rank
- Path Compression
- Kruskal's Algorithm
Frequently Asked Questions
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