The Data Structures course is designed to teach you the most essential and fundamental building blocks of programming. Mastering Data Structures (DS) helps you write efficient code, ace technical interviews, and understand how software applications are built and optimized. This course is perfect for students, aspiring developers, and job seekers preparing for coding interviews and placements.
What are Data Structures?
Why Data Structures Matter
Static vs. Dynamic Data Structures
Time & Space Complexity (Big O Notation)
Types of Data Structures: Linear vs. Non-linear
1D and 2D Arrays
Array Operations: Insert, Delete, Search, Update
String Manipulations and Patterns
Searching Algorithms: Linear Search, Binary Search
Sorting Algorithms: Bubble, Selection, Insertion, Merge, Quick Sort
Introduction to Linked Lists
Singly Linked List
Doubly Linked List
Circular Linked List
Operations: Create, Insert, Delete, Search, Reverse
Applications of Linked Lists
What is a Stack? (LIFO)
Stack Operations & Applications (Expression Evaluation, Reversal)
Queue (FIFO) and its Variants:
Simple Queue
Circular Queue
Priority Queue
Deque
Implementation using Arrays & Linked Lists
Introduction to Trees
Binary Tree and Binary Search Tree (BST)
Tree Traversals: Inorder, Preorder, Postorder
AVL Tree (Basics)
Tree Use Cases in Real Projects
Graph Terminology and Representations
Adjacency Matrix
Adjacency List
Graph Traversals: BFS & DFS
Shortest Path Algorithms (Intro to Dijkstra’s, Floyd-Warshall)
Real-life Graph Applications (Maps, Networks, Games)
Introduction to Hash Tables
Hash Functions and Collisions
Linear & Quadratic Probing
Applications: Caching, Indexing, HashMap
Introduction to Recursion
Problems on Recursion
Backtracking: N-Queens, Sudoku Solver
Time Complexity Optimization
Divide and Conquer
Greedy Algorithms
Dynamic Programming (Introduction)
Real Interview Problems with Solutions
Most Asked DSA Interview Questions
How to Approach a Problem
Resume Tips for DSA Profiles
Mock Tests & Assignments
Real Coding Assessments (Google, Amazon, TCS NQT, Infosys)
Gain a deep understanding of core computer science fundamentals
Improve your problem-solving and logical thinking
Be well-prepared for technical interviews & competitive coding
Step into the world of software development, backend systems, and product engineering
DSA Career Roadmap
Resume Optimization for Freshers
Guidance for GATE, Coding Contests & Interviews
How to build your GitHub and LinkedIn
Personal Mentorship (Optional)
🔍 Roles You Can Apply For:
Software Developer Intern
DSA Coding Instructor
Programming Mentor
Backend Developer (Trainee Level)
Coding Interview Coach (Part-Time / Freelance)
💸 Expected Salary Range (India):
| Experience | Role | Avg Salary |
|---|---|---|
| 0–1 years | DSA Intern / Trainee | ₹2.5 – ₹4 LPA |
| 1–3 years | Software Developer / Analyst | ₹4 – ₹7 LPA |
| 3–5 years | Sr. Developer / Mentor | ₹8 – ₹12 LPA |
✅ Coding Practice Problems
✅ Real-Time Assignments
✅ Interview Q&A PDF
✅ Certificate of Completion
✅ Referral Opportunities in Partner Companies
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