Decode C & C++ With DSA Course
Start your journey into the world of programming and problem-solving with our carefully designed course. From learning the basics of C and C++ to mastering advanced Data Structures and Algorithms, you’ll develop the ability to write clean, efficient, and optimized code. Through practical coding exercises, real interview-style problems, and guided mentorship, this program prepares you to excel in coding competitions, ace technical interviews, and build a successful career in software development and emerging technologies.
4 Months
.Duration
Virtual Live
Classes
100% Job
Assurance
Languages
English | Hindi
Course Highlights
Master Core Programming:
Build a strong foundation with C and C++ fundamentals.
Data Structures & Algorithms (DSA)
Learn arrays, linked lists, stacks, queues, trees, graphs, hashing, heaps, and more.
Problem-Solving Skills:
Solve 300+ coding challenges and real-world problems.
Standard Template Library (STL)
Boost productivity with pre-built C++ libraries.
Master these Tools
Skills Covered
Time & Space Complexity Analysis
.
Competitive Programming Techniques
.
Debugging & Optimization
.
Coding Interview Readiness
.
Data Structures
.
Course Curriculum
Build strong foundations in C and C++, master DSA concepts, sharpen problem-solving skills, and prepare for top tech interviews with projects & real-world practice.
Module 1: Introduction to Programming & C Basics
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. What is Programming? Importance & Applications
. Introduction to C Language & History
. Setting up IDE (CodeBlocks, TurboC, GCC)
. Structure of a C Program
. Compilation & Execution Process
. C Syntax, Keywords, Identifiers
. Variables, Constants & Data Types
. Input/Output Functions (printf, scanf)
. Operators in C (Arithmetic, Relational, Logical, Bitwise)
. Type Casting & Type Modifiers
Module 2: Control Flow in C
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. Conditional Statements (if, if-else, nested if)
. switch-case & goto Statement
. Loops in C (for, while, do-while)
. break & continue Statement
. Nested Loops
Module 3: Functions in C
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. Function Declaration & Definition
. Function Parameters (Call by Value & Call by Reference)
. Recursion in C
. Scope & Lifetime of Variables (local, global, static)
. Inline Functions (conceptual intro)
Module 4: Arrays & Strings in C
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. Introduction to Arrays
. Single-Dimensional Arrays
. Multi-Dimensional Arrays (2D Arrays, Matrix)
. Array Operations (traversal, insertion, deletion)
. Introduction to Strings
. String Handling Functions (strlen, strcpy, strcmp, strcat)
. Character Arrays vs Pointers to Strings
Module 5: Pointers in C
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. Introduction to Pointers
. Pointer Arithmetic
. Pointers & Arrays
. Pointers to Pointers
. Pointers & Strings
. Function Pointers
. Dynamic Memory Allocation (malloc, calloc, realloc, free)
Module 6: Structures, Unions & Files in C
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. Introduction to Structures
. Array of Structures
. Nested Structures
. Unions in C
. Typedef & Enumerations
. File Handling Basics (fopen, fclose, fgetc, fputc)
. File Read/Write Operations
Module 7: Introduction to C++ & OOP Concepts
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. Difference between C & C++
. Setting up C++ Environment
. C++ Program Structure
. Input/Output in C++ (cin, cout)
. Introduction to Object-Oriented Programming (OOP)
. Classes & Objects
. Constructors & Destructors
. Inheritance in C++
. Polymorphism (Compile-time & Runtime)
. Abstraction & Encapsulation
. Operator Overloading
. Function Overloading & Overriding
. Virtual Functions & Abstract Classes
. Templates in C++ (Function & Class Templates)
. Exception Handling in C++
. Standard Template Library (STL)
Module 8: Data Structures Basics
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. Introduction to Data Structures
. Types of Data Structures (Linear & Non-Linear)
. Time Complexity & Space Complexity
. Big O, Big Θ, Big Ω Notations
. Recursion in DSA
Module 9: Arrays & Searching Algorithms
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. Array Operations in DSA
. Searching Techniques
. Linear Search
. Binary Search
. Ternary Search
Module 10: Sorting Algorithms
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. Bubble Sort
. Selection Sort
. Insertion Sort
. Merge Sort
. Quick Sort
. Heap Sort
. Counting Sort
. Radix Sort
Module 11: Linked List
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. Introduction to Linked List
. Singly Linked List – Creation, Insertion, Deletion, Traversal
. Doubly Linked List
. Circular Linked List
. Applications of Linked List
Module 12: Stack
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. Introduction to Stack
. Stack Operations (push, pop, peek)
. Implementation using Array
. Implementation using Linked List
. Applications of Stack (Expression Evaluation, Parentheses Matching)
Module 13: Queue
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. Introduction to Queue
. Queue Operations (enqueue, dequeue)
. Implementation using Array
. Implementation using Linked List
. Circular Queue
. Priority Queue
. Deque (Double-Ended Queue)
Module 14: Trees
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. Introduction to Trees
. Binary Tree – Traversals (Inorder, Preorder, Postorder)
. Binary Search Tree (BST)
. AVL Tree (Rotations)
. Heap (Min Heap, Max Heap)
. Trie Data Structure
Module 15: Graphs
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. Introduction to Graphs
. Graph Representations (Adjacency Matrix, List)
. Breadth-First Search (BFS)
. Depth-First Search (DFS)
. Dijkstra’s Algorithm
. Bellman-Ford Algorithm
. Floyd-Warshall Algorithm
. Minimum Spanning Tree (Prim’s & Kruskal’s)
Module 16: Advanced DSA Topics
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. Hashing & Hash Tables (Chaining, Open Addressing)
. Double Hashing & Rehashing
. Bit Manipulation Tricks (Subset Generation, Power of Two Checks)
. Divide & Conquer Advanced Problems
. Greedy Algorithms (Activity Selection, Huffman Coding, Interval Scheduling)
. Dynamic Programming Basics (Memoization, Tabulation)
. Classic DP Problems (Fibonacci, Knapsack, LIS, LCS, Coin Change, Matrix Chain Multiplication)
. Advanced DP (Digit DP, Bitmask DP, DP on Trees, DP on Graphs)
. Game Theory with DP (Grundy Numbers, Nim Game)
. Backtracking (N-Queens, Sudoku Solver, Rat in a Maze, Word Search)
. Branch & Bound Techniques
. Segment Trees (Range Sum, Range Minimum/Maximum Queries)
. Lazy Propagation in Segment Trees
. Fenwick Tree (Binary Indexed Tree)
. Sparse Tables (Range Queries)
. Disjoint Set Union (Union Find with Path Compression & Union by Rank)
. Heavy Light Decomposition (HLD)
. Lowest Common Ancestor (Binary Lifting, Euler Tour Method)
. Trie Advanced Applications (Auto-complete, Prefix Queries)
. Suffix Trees & Suffix Arrays
. KMP Algorithm & Rabin-Karp (Pattern Matching)
. Z-Algorithm & Prefix Function (KMP Failure Table)
. Manacher’s Algorithm (Longest Palindromic Substring)
. String Hashing & Rolling Hash
. Advanced Graph Algorithms (Tarjan’s Algorithm for Bridges & Articulation Points)
. Kosaraju’s Algorithm (Strongly Connected Components)
. Floyd-Warshall & Johnson’s Algorithm
. Minimum Spanning Tree Advanced (Boruvka’s Algorithm)
. Maximum Flow Algorithms (Ford-Fulkerson, Edmonds-Karp, Dinic’s Algorithm)
. Bipartite Matching (Hopcroft-Karp Algorithm)
. Euler Tour & Hamiltonian Cycle
. Centroid Decomposition in Trees
. Mo’s Algorithm (Query Optimization)
. Square Root Decomposition
. Convex Hull & Computational Geometry Basics
. Line Sweep Algorithms (Interval Problems, Closest Pair of Points)
. Number Theory Basics (Prime Factorization, GCD, LCM, Modular Arithmetic)
. Sieve of Eratosthenes & Segmented Sieve
. Modular Exponentiation & Fast Power
. Modular Inverse & Fermat’s Little Theorem
. Chinese Remainder Theorem
. Matrix Exponentiation
. Fast Fourier Transform (FFT) & Polynomial Multiplication
. Randomized Algorithms (Quickselect, Monte Carlo, Las Vegas)
. Advanced Data Structures (Treap, Splay Tree, Red-Black Tree)
. Persistent Data Structures (Persistent Segment Tree)
. Rope Data Structure (String Operations)
. Skip List
. Bloom Filters
. LRU & LFU Cache Implementations
Module 17: Competitive Programming & Problem Solving
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. Introduction to CP
. Understanding Constraints & Optimization
. Fast I/O Techniques in C++
. Solving DSA Problems on Platforms (LeetCode, Codeforces, HackerRank)
. Problem Patterns & Strategies
Module 18: Career Readiness & Projects
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. Resume Building for C/C++ Developers
. Important Interview Questions in C, C++ & DSA
. Mock Coding Interviews
. Freelancing & Open Source Contribution
. Capstone Project 1: Student Management System (C)
. Capstone Project 2: Mini Compiler/Interpreter (C++)
. Capstone Project 3: DSA Visualizer (C++)
About Decode C &C++ With DSA Course
Step into the world of programming and problem-solving with our industry-focused C, C++ & DSA course. This program is designed to take you from programming basics to advanced algorithms, data structures, and competitive coding expertise.
What You’ll Learn:
✅ C & C++ Programming Mastery – Core concepts, OOP, pointers, templates, and STL
✅ Data Structures & Algorithms (DSA) – Arrays, Linked Lists, Trees, Graphs, Hashing, Heaps, Dynamic Programming
✅ Problem-Solving Skills – Optimize solutions, understand time & space complexity
✅ Competitive Programming Techniques – Solve challenges on LeetCode, Codeforces, HackerRank, CodeChef
✅ Real-World Projects & Capstone – Build a portfolio with mini-projects and advanced DSA applications
✅ Coding Interview Readiness – Crack top tech company interviews with mock tests & problem-solving practice
✅ Version Control & Collaboration – Git & GitHub for team coding projects
✅ Debugging & Optimization Tools – GDB and advanced debugging techniques
✅ Career Support – Resume building, placement guidance, and pathways to Software Developer, Backend Engineer, and Competitive Programmer roles
Why Choose This Course?
🎯 Hands-On Learning – Apply concepts through exercises, challenges, and projects
🚀 Industry-Focused Curriculum – Learn exactly what employers and tech recruiters expect
💡 Expert Mentorship – Guidance from experienced professionals to accelerate learning
📈 Career-Ready Skills – Become confident in coding, problem-solving, and technical interviews
By the end of this course, you’ll emerge as a job-ready programmer, a competitive coding expert, and a highly skilled problem solver, ready to excel in any tech environment.
Career Opportunities After the Course
List potential roles students can pursue after completing the course, such as
- Software Developer / Software Engineer
- Backend Developer
- Game Developer
- Competitive Programmer
- Algorithm Expert / Problem Solver
- Technical Interview Preparation / Coding Mentor
With 100% job assurance, our course prepares you for a lucrative career in Coding.
Authorised Training Partners
Live Virtual Classes
Batch Timings
📅 Weekday Batches
🕖 Monday to Friday | 7:00PM – 9:00PM
📅 Weekend Special Batches
🕖 Saturday | 4:00 PM – 9:00 PM
🕖 Sunday | 10:00 AM – 3:00 PM
Total Course Duration : 4 Months