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Master Data Structures and Algorithms with C Programming

Data Structures and Algorithms (DSA) using C is an essential area of computer science that helps developers write efficient and optimized programs. At Insta Infotech®, our Data Structures Using C Course is designed to build a strong foundation in fundamental DSA concepts through structured lessons and hands-on coding practice.

The course covers important data structures such as arrays, linked lists, stacks, queues, trees, and graphs, along with algorithm design techniques including searching, sorting, and recursion. Students learn how to analyze algorithm efficiency and apply problem-solving techniques commonly used in software development and technical interviews.

Eligible programs provide a university-recognised Skills Certificate or Diploma delivered in partnership with Medhavi Skills University. These programs earn NCrF (National Credit Framework) credits, which can contribute toward higher education pathways while strengthening professional credibility.

Data Structure Using C
Data Structures using C — algorithms and memory mastery

Data Structures using C

Build data structures from scratch in C — understanding exactly how arrays, linked lists, stacks, queues, trees, and graphs are designed and implemented at the memory level, combined with the sorting and searching algorithms that operate on them — the foundational computer science skill required in every technical interview and every performance-critical software role.

Certificate
You will get Medhavi Skills Certificate
Partnership
Insta Infotech × Medhavi Skills University
Recognition
NCrF aligned learning pathway
Data structure implementation stack
Arrays, Linked Lists, Stacks & Queues
Linear structures implemented and operated in C
Linear
 
Trees & Graphs
BST, AVL, DFS, BFS, and traversal algorithms
Non-linear
 
Sorting, Searching & Complexity
Merge sort, quick sort, binary search, Big-O analysis
Algorithms

Linear structures, non-linear structures, and algorithms — all implemented in C from scratch with full pointer-based code.

 
Program overview

More than memorising definitions.

This course teaches data structures by building them in C — not just explaining them. Every structure from singly linked lists to AVL trees is implemented using structs, pointers, and dynamic memory, so students gain a deep understanding of how data is organised in memory, why one structure outperforms another, and how to reason about time and space complexity when choosing or designing a solution.

01 / Implement, don't just read
Code every structure from zero.

Every data structure — linked lists, stacks, BSTs, graphs — is built in C using structs and pointers. You write the insert, delete, search, and traversal functions yourself, not just call library methods.

02 / Think in complexity
Why this structure? Why not that one?

Learn Big-O notation, time and space complexity, and how to reason about performance trade-offs — so you can choose the right structure for any real problem and explain the decision clearly in an interview.

03 / Career signal
Interview and placement ready

Data structures in C is the most tested topic in placements, technical rounds, and CS fundamentals interviews across every technology domain — from product companies to core engineering roles.

 
Learning journey

A clearer learning flow.

The progression moves from C prerequisites and complexity theory, through linear structures and linked lists, into stacks, queues, trees, and graphs, and finally into sorting, searching, and a capstone DSA project — each structure building on pointer skills developed in the one before.

Step 01
C Prerequisites & Complexity
Structs, pointers, dynamic memory review, introduction to abstract data types, Big-O notation, and time vs space complexity.
Step 02
Arrays & Linked Lists
Static and dynamic arrays, singly linked lists, doubly linked lists, circular linked lists — insert, delete, search, and traversal in C.
Step 03
Stacks & Queues
Array and linked list implementations, push/pop/enqueue/dequeue, applications — balanced parentheses, infix-to-postfix, and circular queues.
Step 04
Trees & Graphs
Binary trees, Binary Search Trees (BST), AVL trees, tree traversals (inorder, preorder, postorder), graph representations, BFS, and DFS.
Step 05
Sorting, Searching & Capstone
Bubble, insertion, selection, merge sort, quick sort, binary search, hashing, and capstone DSA problem-solving project.
 
Syllabus

Structured for job-relevant output.

Topics organized into clean thematic groups so the section feels premium and is easy to scan.

Linear structures
  • Arrays — static, dynamic, and 2D in C
  • Singly, doubly, and circular linked lists
  • Stacks and queues — array and pointer implementations
Non-linear structures
  • Binary trees, BST — insert, delete, search
  • AVL trees — rotations and balancing
  • Graphs — adjacency matrix, BFS, DFS
Algorithms and launch
  • Sorting — bubble, merge, quick, insertion sort
  • Searching — linear, binary search, and hashing
  • Capstone DSA problem-solving project
 
Certification and recognition

Make the credential visible, not buried.

You will receive a Medhavi Skills Certificate. The program is presented through Insta Infotech's partnership with Medhavi Skills University, and the learning pathway is aligned with the National Credit Framework (NCrF).

Why this matters
 
Certificate visibility
Now highlighted in the hero and repeated in the certification block.
 
University partnership
Medhavi Skills University is treated as a trust signal, not a small footer note.
 
Recognition cue
NCrF alignment is framed as a formal learner benefit.

  • Abstract data types
  • Order lists and arrays
  • Polynomial representation using arrays
  • Algorithm analysis using frequency count
  • time complexity using dig O notation
  • Recursive calls

  • Array
  • Bidirectional map
  • Bit array
  • Bit field, Bit board
  • Bitmap
  • Circular buffer
  • Control table
  • Dynamic array
  • Hashed array tree
  • Height map
  • Lookup table
  • Matrix
  • Parallel array, Sorted array
  • Sparse array
  • Sparse matrix
  • Life vector
  • Variable-length array

  • Doubly linked list
  • Linked list
  • Self-organizing list
  • Skip list
  • Unrolled linked list
  • V List
  • Xor linked list
  • Zipper
  • Doubly connected edge list

  • Manipulating on singly linked list
  • Insertion
  • Deletion
  • Copy
  • Append
  • Circular list
  • Double linked list
  • Polynomial addition using linked list
  • Sparse matrix

  • What is stack
  • Push and pop operation of stack
  • Evaluation of arithmetic expression in stack
  • What is queue
  • Types of queue
  • Simulation using queues
  • Linked list represents stack& queues

  • Height
  • Representation using pointer

  • Recursive & Non-recursive
  • Tree construction using pre-order index
  • past order in-order traversal
  • Relationship between internal and external nodes
  • Threshed binary trees

  • Binary search tree-time complexity
  • insertion and retrieval
  • Heaps and priority queues
  • AVL trees
  • B-trees

  • AA tree
  • AVL tree
  • Binary search tree
  • Binary tree
  • Cartesian tree
  • Randomized binary search tree
  • Red-black tree, Rope
  • Scapegoat tree
  • Self-balancing binary search tree
  • Splay tree
  • T-tree
  • Tango tree
  • Threaded binary tree
  • Top tree
  • Treap
  • Weight-balanced tree

  • B-tree
  • B+ tree
  • B*-tree
  • B sharp tree
  • Dancing tree
  • 2-3 tree
  • 2-3-4 tree
  • Queap
  • Fusion tree
  • Bx-tree

  • Ternary search tree
  • And or tree
  • (a,b)-tree
  • Link/cut tree
  • SPQR-tree
  • Spaghetti stack
  • Disjoint-set data structure
  • Fusion tree
  • Enfilade
  • Exponential tree
  • Fenwick tree
  • Van Emden Boas tree

  • Segment tree
  • Interval tree
  • Range tree
  • Implicit kd-tree
  • Min/max kd-tree
  • Adaptive k-d tree
  • Quadtree
  • Octree, Linear o-c tree
  • Z-order
  • R-tree, R+ tree, R* tree
  • Hilbert R-tree
  • X-tree
  • Metric tree, Cover tree
  • M-tree, VP-tree
  • BK-tree
  • Bounding interval hierarchy
  • BSP tree
  • Rapidly exploring random tree

  • Syntax tree
  • Abstract syntax tree
  • Parse tree , decision tree
  • Alternating decision tree
  • Mini max tree
  • Finger tree

  • Insertion in array
  • Deletion in array
  • Reverse of array
  • Traversing of array element
  • Sequential and binary search
  • Time complexity
  • Selection and bubble sort
  • Quick sort
  • Merge sort
  • Heap sort
  • Hashing schemes
  • Collision handling using linear
  • quadratic probing

  • Bloom filter
  • Distributed hash table
  • Hash array mapped tree
  • Hash list
  • Hash table
  • Hash tree
  • Prefix hash tree

  • Graph operation
  • Representation
  • Traversal, Spanning trees
  • Kruskal's algorithm for minimum cost Spanning trees
  • Prim's algorithm for shortest path
  • Dijkstra's algorithm for shortest path.
  • Adjacency list,
  • Adjacency matrix
  • Graph-structured stack
  • Scene graph
  • Binary decision diagram
  • Zero suppressed decision diagram
  • And-inverter graph
  • Directed graph
  • Directed acyclic graph
  • Propositional directed acyclic graph
  • Multi graph
  • Hyper graph

  • Light map
  • Winged edge
  • Doubly connected edge list
  • Quad-edge
  • Routing table
  • Symbol table

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Certificate and Accreditation

Accreditation Certificate

Professional Diploma Certificate

Skills Certificate

Brand Registration

Trust & Validation

UGC-Recognized Skilled Qualifications for the Modern Global Workforce

University Certification
University Certification

Earn industry-relevant Certificates and Diplomas awarded by Medhavi Skills University, a UGC-recognized University. Insta Infotech is Approved Training Partner of Medhavi Skills University, ensuring quality education and credible certification.

Certificate Verification
Certificate Verification

All Certificates and Diplomas are digitally verifiable through Government of India platforms, including Skill India Digital Hub (MSDE), ABC.gov.in (Ministry of Education), and DigiLocker, ensuring authenticity and nationwide recognition.

Credit-Based Course (NCrF)
Credit-Based Course (NCrF)

Our courses are aligned with the National Credit Framework (NCrF) under the National Education Policy (NEP) 2020. Learners earn academic credits that strengthen their skill-based education profile and can be seamlessly transferred toward higher education pathways.

Global Recognition
Global Recognition

NCrF-aligned skill credits are recognized across the UK, EU, and Australian education systems. Through MSU’s global partnerships, learners benefit from dual certification opportunities and accelerated pathways to international degree programs.

Skill India Mission
Skill India Mission

Insta Infotech empowers learners with future-ready skills. Backed by the Skill India Mission and our academic partnership with Medhavi Skills University, we bridge the gap between education and employment through practical, hands-on learning and nationally recognized certifications.

Placement Support
Placement Support

Quality Skill Education — this is not merely a certificate of attendance, but a verified academic credential that enhances credibility and opens opportunities across MNCs, embassies, and government sectors.

Specializations

Skilled, Qualification, Certification

Course Credibility

Course Credibility

Our programs are certified by a recognized university, ensuring legal authenticity, academic validity, and strong professional acceptance. This means your qualification carries real value for employment, career advancement, and higher education.

Employability

Employability

Our programs combine practical training, real-world projects, and industry-relevant skills to prepare students for immediate employment. we ensure learners confidently transition from education to professional careers.

Global Standards

Global Standards

Our programs follow internationally aligned curricula and current industry requirements, ensuring learners gain globally relevant knowledge, practical competencies, and professional practices. This prepares students to adapt, compete, and work confidently.

National Alignment (Skill India)

National Alignment (Skill India)

Aligned with the Skill India Mission, we transform vocational training into a nationally recognized qualification, enabling our students to become part of India’s formal skilled workforce.

Academic Mobility (Credit-Based)

Academic Mobility (Credit-Based)

Through the National Credit Framework (NCrF), our courses are not merely extra-curricular; they are credit-earning modules that contribute directly toward your formal higher education pathway.

NEP 2020 Integration

NEP 2020 Integration

Aligned with the National Education Policy 2020, we transform traditional IT education into a multidisciplinary, skilled-based vocational pathway that enables students to earn formal academic credits.

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