Course Overview:
This course is designed to build strong logic and programming skills through the in-depth study of Data Structures and Algorithms (DSA) using the C language. It helps students understand how memory is organized and how data can be efficiently managed, stored, and accessed. A must-learn course for college students, competitive coders, and those preparing for technical interviews.
Way of Training:
- Mode: Online / Offline
- Duration: 45 Days
- Online Sessions: 1 Hour/Day
- Offline Sessions: 1 Hour Theory + 1 Hour Lab/Practical
Data Structures and Algorithms Using C
Course Fee:
- Online Mode: 3999/- only
- Offline Mode: 4999/- only
Includes:
- Live or recorded class videos
- Class notes and practice sheets
- Implementation programs with dry-run
- Mini project on DSA
- Interview Q&A for product and service companies
- Telegram/WhatsApp group access
Instructor Video :
About the Course:
This course covers fundamental and advanced data structures such as arrays, linked lists, stacks, queues, trees, graphs, and hashing. You’ll also learn various algorithms like searching, sorting, recursion, and dynamic programming with complete implementation in C.
Job Opportunities After Learning DSA in C:
- Software Developer (Fresher)
- Embedded Systems Programmer
- Placement Oriented Programming Trainer
- Competitive Coder (GATE, TCS CodeVita, etc.)
- Internships and product-based company roles
Importance of DSA in Career:
- Core part of technical interviews
- Tested in campus placements and government jobs
- Essential for competitive programming
- Helps in building optimized and efficient code
- Prepares you for future technologies like ML, AI, DBMS
Course Content
Module 1: Basics of C and Introduction to DSA
- Recap of C syntax and pointers
- What is data structure and why needed
- Types: Primitive and Non-Primitive
- Complexity analysis: Time and Space
- Big O, Big Ω, and Big Θ notations
- Dry run practice for tracing algorithms
Module 2: Arrays and Memory Representation
- 1D and 2D array declaration and memory layout
- Array insertion, deletion, traversal, and search
- Linear and binary search
- Basic sorting: bubble, selection, insertion
- Dynamic array simulation
- Mini program: Menu-based array operations
Module 3: Strings in C
- String declaration, input-output
- String manipulation: reverse, palindrome, frequency
- Using string.h functions: strlen, strcpy, strcat
- Custom string functions implementation
- Mini program: String menu-driven operations
Module 4: Recursion
- What is recursion and how it works
- Base case and recursive calls
- Examples: factorial, fibonacci, sum of digits
- Tail recursion and its optimization
- Dry-run recursive calls using stack diagram
- Mini Task: Tower of Hanoi, power(x,n)
Module 5: Stack (Array and Linked List)
- Introduction to LIFO structure
- Stack operations: push, pop, peek
- Stack using arrays
- Stack using linked list
- Parentheses matching and infix-to-postfix conversion
- Postfix evaluation using stack
Module 6: Queue and Variants
- Introduction to FIFO structure
- Queue using arrays and linked lists
- Circular queue using array
- Double-ended queue (deque)
- Priority queue and its applications
- Mini project: Hospital queue simulation
Module 7: Linked Lists
- Singly linked list creation and traversal
- Insertion and deletion at beginning, middle, end
- Searching and counting nodes
- Doubly linked list with backward traversal
- Circular linked list
- Real-time implementation of lists
Module 8: Trees
- Binary tree creation and traversal
- Inorder, preorder, postorder traversal (recursive)
- Binary Search Tree (BST) insertion, deletion
- Height, leaf count, level of a node
- Applications in expression trees
- Mini project: Tree-based file directory structure
Module 9: Graphs
- Graph representation: adjacency matrix and list
- DFS and BFS traversal
- Shortest path (Dijkstra basic version)
- Cycle detection and topological sort
- Applications of graph in networks
- Mini Task: Social network friend connection
Module 10: Searching and Sorting Algorithms
- Linear and Binary Search (recursive and iterative)
- Bubble, Selection, Insertion, Merge, Quick Sort
- Comparison of sorting time complexity
- Real-world use case: Sorting student records
- Mini Task: Sorting visual representation in console
Module 11: Hashing and Hash Table
- Introduction to hashing
- Hash functions and collision resolution
- Linear probing, quadratic probing
- Separate chaining using linked lists
- Use cases in phonebooks and dictionaries
Module 12: Greedy Algorithms
- Activity selection
- Coin change problem
- Fractional knapsack
- Minimum spanning tree basics
- Real-life examples and dry-run
Module 13: Advanced Features
- Introduction to DP vs recursion
- Fibonacci using memoization
- 0/1 Knapsack
- Longest common subsequence
- Matrix chain multiplication
- Mini project: Optimal path finder in grid
Module 14: Project on DSA Using C
- Project Title: Student Record Management System
- Use of arrays, linked list, and file handling
- Menu-based operations: Add, Search, Delete, Modify
- Sorting and searching applied to records
- Output formatted in console
- Mini-versions of DSA components applied
Top 10 Interview Questions
- What is the difference between array and linked list?
- How does stack differ from queue in real use?
- What is the difference between BFS and DFS?
- What is recursion and how is it different from iteration?
- Explain the time complexity of sorting algorithms.
- What is a binary search tree and its advantages?
- What is dynamic programming and how is it different from greedy?
- How does hashing work and what are collisions?
- Explain circular queue vs linear queue.
- How to choose a data structure for a given problem?
Why Join Techidz for DSA in C?
- 100% logic-building with simple examples
- Clear explanation of dry-run and stack trace
- Real-time examples with menu-based programs
- Mini project for resume + interview practice
- Daily practice worksheets and quizzes
- Telegram/WhatsApp community and doubt sessions
New & Special Features in Techidz DSA Course
- 100+ DSA programs in C
- Dry-run trace for recursion and trees
- File-based mini project
- Interview-focused revision
- Weekly tests and worksheets
- Notes, code files, lifetime access to videos
