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Programming Courses
DSA with Python
DSA with Python
Curriculum
11 Sections
33 Lessons
30 Days
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➢ Python Basics Refresher
3
1.1
Variables, Data Types, Input/Output
1.2
Loops, Conditional Statements
1.3
Functions, Recursion Basics
➢ Introduction to DSA
3
2.1
What are Data Structures and Algorithms?
2.2
Time and Space Complexity
2.3
Big-O Notation
➢ Arrays & Strings
3
3.1
1D & 2D Arrays in Python
3.2
Slicing, Searching, and Sorting
3.3
String Manipulations and Applications
➢ Linked Lists
3
4.1
Singly and Doubly Linked Lists
4.2
Operations: Insert, Delete, Search
4.3
Reversal & Loop Detection
➢ Stacks and Queues
3
5.1
Using Lists and Deque in Python
5.2
Applications in Expressions & Parsing
5.3
Circular Queue, Priority Queue
➢ Recursion & Backtracking
3
6.1
Recursive Functions & Base Cases
6.2
Backtracking Concepts
6.3
Solving Mazes, Puzzles, N-Queens
➢ Trees and Binary Trees
3
7.1
Binary Tree, Binary Search Tree (BST)
7.2
Tree Traversals (Inorder, Preorder, Postorder)
7.3
Heap, AVL Tree, Tree Balancing
➢ Graphs
3
8.1
Graph Representations (Adjacency List/Matrix)
8.2
BFS, DFS
8.3
Shortest Path Algorithms (Dijkstra’s, Bellman-Ford)
➢ Sorting & Searching Algorithms
3
9.1
Linear & Binary Search
9.2
Bubble, Selection, Insertion Sort
9.3
Merge Sort, Quick Sort
➢ Hashing and Hash Tables
3
10.1
HashMap Implementation
10.2
Handling Collisions
10.3
Applications in Problem Solving
➢ Interview Preparation
3
11.1
Problem-Solving Sessions
11.2
Coding Challenges on Platforms (LeetCode, HackerRank)
11.3
Mock Interviews & Resume Tips
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