Certification on Data Structures and Algorithms in C
Master DSA in C with 8 weeks of hands-on training in arrays, linked lists, trees, graphs, and algorithms. Build strong coding & interview problem-solving skills.
Instructor
Cognovera
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This 8-week certification program is designed for intermediate learners who want to strengthen their problem-solving and programming skills using C language. The course covers fundamental and advanced data structures (arrays, linked lists, stacks, queues, trees, graphs, hash tables) and algorithms (sorting, searching, recursion, dynamic programming, greedy techniques). Learners will gain hands-on experience through lab work, coding exercises, and a capstone project, preparing them for coding interviews, competitive programming, and industry applications.
Week 1: C Fundamentals Refresher & Complexity Analysis
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1
Day 1: C Programming Refresher- Structure of a C program
- Data types, operators, expressions
- Input/Output (stdio.h)
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2
Day 2: Control Structures
- Decision making (if-else, switch)
- Loops (for, while, do-while)
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3
Day 3: Functions in C
- Function definition, prototypes
- Recursion basics
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4
Day 4: Arrays & Pointers
- 1D & 2D arrays
- Pointer basics, pointer arithmetic
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5
Day 5: Algorithm Analysis
- Time complexity (Big-O, Ω, Θ)
- Space complexity
- Recurrence relations (intro)
Week 2: Searching & Sorting Algorithms
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6
Day 1: Searching Techniques
- Linear search
- Binary search (iterative & recursive)
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7
Day 2: Basic Sorting Algorithms
- Bubble sort
- Selection sort
- Insertion sort
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8
Day 3: Efficient Sorting
- Merge sort
- Quick sort
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9
Day 4: Advanced Sorting
- Heap sort
- Counting sort
- Radix sort
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10
Day 5: Practical Session
- Implement & compare sorting algorithms
- Complexity analysis of sorting
Week 3: Recursion & Divide and Conquer
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11
Day 1: Recursion in Depth
- Tail vs. non-tail recursion
- Applications of recursion
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12
Day 2: Divide and Conquer
- Binary search (revisited)
- Merge sort (detailed analysis)
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13
Day 3: Backtracking Basics
- N-Queens problem
- Rat in a Maze
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14
Day 4: Recurrence Relations
- Master’s theorem basics
- Complexity analysis practice
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15
Day 5: Lab Work
- Recursive problem-solving exercises
Week 4: Stacks & Queues
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16
Day 1: Stack Basics
- Array & linked list implementation
- Applications (infix to postfix, expression evaluation)
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17
Day 2: Queue Basics
- Array & linked list implementation
- Circular queue
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18
Day 3: Advanced Queues
- Double-ended queue (Deque)
- Priority queue (Heap-based)
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19
Day 4: Applications of Stack & Queue
- Balanced parentheses
- Undo/redo operations
- Job scheduling
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20
Day 5: Lab Practice
- Implement mini problems using stack & queue
Week 5: Linked Lists
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21
Day 1: Singly Linked List
- Implementation, traversal, insertion, deletion
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22
Day 2: Doubly Linked List
- Forward/backward traversal
- Insertion & deletion
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23
Day 3: Circular Linked List
- Singly & doubly circular lists
- Applications
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24
Day 4: Advanced Linked List Problems
- Reversing a linked list
- Detecting & removing loops
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25
Day 5: Lab Practice
- Mini project: Playlist management using linked list
Week 6: Trees
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26
Day 1: Tree Basics
- Terminology, representation
- Binary trees
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27
Day 2: Binary Tree Traversals
- Inorder, preorder, postorder
- Recursive & iterative implementations
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28
Day 3: Binary Search Trees (BST)
- Insertion, deletion, searching
- Applications of BST
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29
Day 4: Balanced Trees (Intro)
- AVL trees (rotations)
- Applications in searching
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30
Day 5: Lab Practice
- Implementing expression trees, BST operations
Week 7: Graphs
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31
Day 1: Graph Basics
- Representations (adjacency matrix, list)
- Directed vs. undirected graphs
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32
Day 2: Graph Traversal
- BFS, DFS (recursive & iterative)
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33
Day 3: Minimum Spanning Tree
- Kruskal’s algorithm
- Prim’s algorithm
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34
Day 4: Shortest Path Algorithms
- Dijkstra’s algorithm
- Bellman-Ford algorithm
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35
Day 5: Lab Practice
- Implement BFS, DFS, and MST algorithms
Week 8: Advanced Topics & Project
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36
Day 1: Hashing Techniques
- Hash tables
- Collision handling (chaining, open addressing)
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37
Day 2: Dynamic Programming Basics
- Memoization vs. tabulation
- Classic problems (Fibonacci, knapsack, LCS)
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38
Day 3: Greedy Algorithms
- Activity selection
- Huffman coding (intro)
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39
Day 4: Capstone Project Development
- Mini project (options: Student database system, Hospital management, Graph-based route finder)
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40
Day 5: Project Presentation & Certification Test
- Project demonstration
- Written & coding assessment
- Feedback & certification
Q1. Do I need prior knowledge of Data Structures before enrolling?
No, prior DSA knowledge isn’t required. You only need basic C programming skills; all DSA concepts will be taught from scratch.
Q2. Will this course help me in competitive programming?
Yes, the course emphasizes problem-solving and optimization, making it highly useful for coding competitions and platforms like LeetCode, Codeforces, and HackerRank.
Q3. What kind of project will I build?
You will work on a capstone project (e.g., Student Database System, Hospital Management, or Graph-based Route Finder) that uses multiple data structures and algorithms.
Q4. Do I get a certificate after completion?
Yes. After successfully completing the project and certification exam, you will receive an industry-recognized certificate.
Q5. How does this course help in job placements?
Data Structures & Algorithms are a core requirement for software developer interviews. This course prepares you for technical interviews, coding tests, and software engineering roles.
Skills You Will Learn in This Course
- Analyze time & space complexity of algorithms
- Implement searching & sorting techniques (binary search, quick sort, merge sort, heap sort)
- Apply recursion, backtracking, and divide & conquer strategies
- Implement stacks, queues, linked lists, and hash tables
- Work with trees (binary trees, BSTs, AVL) and graph algorithms (BFS, DFS, MST, shortest path)
- Solve real-world problems using dynamic programming & greedy algorithms
- Strengthen coding speed & accuracy for competitive programming
- Design and present a capstone project applying DSA concepts
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Course details
Lectures
40
Level
Intermediate
Basic info
- Program Name: Certification on Data Structures and Algorithms in C
- Duration: 8 Weeks (5 days per week)
- Level: Intermediate
- Mode: Classroom / Online (Instructor-led)
- Final Assessment: Capstone Project + Certification Exam
- Outcome: Industry-recognized certification in Data Structures & Algorithms
Course requirements
- Basic knowledge of C programming (syntax, loops, functions, pointers)
- Familiarity with compiling and running C programs
- Laptop/PC with GCC compiler or IDE (Code::Blocks, Dev-C++, or VS Code)
- Strong interest in problem-solving and coding practice
Intended audience
- Computer science & IT students aiming to master DSA concepts
- Programmers with basic C knowledge who want to improve algorithmic skills
- Students preparing for coding interviews & competitive programming
- Professionals looking to strengthen their technical foundations
- Anyone aspiring for roles like Software Engineer, Backend Developer, or Competitive Programmer
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