Data Structures and Algorithms (DSA) from Scratch in 3 Months:
INTRODUCTION
Today’s world relies heavily on data and its proper management via commonly utilized apps and software. Data Structure and Algorithms (or DSA for short) are the foundation for effective data management. Many people wish to get experience in handling and building these apps and technologies. They embarked on the road of learning DSA with this goal in mind. The first step in the journey is to create a comprehensive plan for learning data structures and algorithms.
- Introduction to arrays and their properties
- Array manipulation and common operations
- String manipulation and pattern matching algorithms
- Question: Practice array and string problems
- Operations on linked lists (insertion, deletion, traversal)
- Solving problems using linked lists
- Question: Practice linked list problems
- Introduction to stacks and queues
- Implementation using arrays and linked lists
- Applications of stacks and queues
- Question: Practice stack and queue problems
- Introduction to trees (binary, binary search, AVL, etc.)
- Tree traversal algorithms (pre-order, in-order, post-order)
- Binary search tree operations and balancing techniques
- Question: Practice tree problems
- Introduction to heaps and their properties
- Implementation and common operations on heaps
- Applications of heaps and priority queues
- Question: Practice heap and priority queue problems
- Introduction to graphs and their representations
- Graph traversal algorithms (DFS and BFS)
- Shortest path algorithms (Dijkstra’s and Bellman-Ford)
- Question: Practice graph problems
- Introduction to hashing and hash functions
- Collision resolution techniques (chaining, open addressing)
- Solving problems using hash tables
- Question: Practice hashing problems
- Bubble sort, insertion sort, selection sort
- Merge sort, quicksort, heap sort
- Comparison and analysis of sorting algorithms
- Question: Practice sorting problems
- Linear search, binary search
- Interpolation search, exponential search
- Analysis of searching algorithms
- Question: Practice searching problems
- Principles of dynamic programming
- Memoization and tabulation techniques
- Solving problems using dynamic programming
- Question: Practice dynamic programming problems