Data Structures
Array
- Introduction to Arrays
- Representation of Arrays
- Array Operations:
- Traversal, Insertion,
- Deletion, Searching
- Multi-dimensional
- Arrays (2D, 3D arrays)
Programming Courses
Data Structure & Algorithm Course
Have you ever thought of Learning Data Structure & Algorithm?
Based on 99 Reviews
- Duration : 1 Month / 3 Months / 6 Months
- Language: English
- Certificate of Completion
Data Structure & Algorithm Course Overview
Want to strengthen your coding skills? Our Data Structure & Algorithm course is designed to help you master essential concepts like arrays, linked lists, stacks, queues, trees, graphs, sorting, and searching algorithms. Learn how to optimize code efficiency and solve complex programming problems for technical interviews and competitive coding. With expert-led training and hands-on exercises, this course is perfect for students and professionals. Enroll now in our Data Structure & Algorithm course and build a strong foundation in programming!
Why Choose EduNova for Data Structure & Algorithm?
EduNova’s Data Structure & Algorithm course provides in-depth training on core programming concepts, problem-solving techniques, and algorithmic thinking. Our expert-led curriculum includes real-world projects and hands-on coding exercises to enhance your practical knowledge. Whether you’re a beginner or an experienced coder, EduNova ensures comprehensive learning to help you excel in technical interviews and competitive programming. With flexible learning options and certification, we help you build a strong foundation in DSA. Join EduNova today and advance your coding career!
Key Features
Globally Recognised Certification
Dedicated Placement Cell & HR Support
Live Online and Offline Classes
Dedicated doubts Session
Lifetime Career Guidance & Job Change Support
Highly Skilled Trainers
Course Topics You will Learn
Matrix/Grid
- Introduction to Matrices
- Representation and Operations (addition, multiplication)
- Traversing 2D / 3D arrays
String
- Introduction to Strings
- String Representation
- String Operations (concatenation, comparison, searching)
Stack
- Definition and Operations (Push, Pop, Peek)
- Stack Implementations using Arrays and Linked Lists
Queue
- Definition and Operations (Enqueue, Dequeue, Front, Rear)
- Types of Queues: Simple Queue, Circular Queue, Priority Queue, Double-ended Queue
Linked List
- Introduction to Linked Lists (Singly, Doubly, Circular)
- Operations: Insertion, Deletion, Traversing
- Reversing a Linked List,
- Detecting and Removing Loops
Tree
- Introduction to Trees
- Tree Terminology: Root, Leaf, Parent, Child, Depth, Height
- Binary Trees and Traversals: Inorder, Preorder, Postorder
- Binary Tree Operations (Insertion, Deletion, Searching)
- Balanced Trees: AVL Trees, Red-Black Trees
Binary Tree
- Properties of Binary Trees
- Binary Tree Traversals (Recursive and Iterative Approaches)
- Insertion, Deletion, Searching
Binary Search Tree (BST)
- Introduction to BST
- BST Operations: Search, Insert, Delete
- Balanced BST: AVL Tree, Red-Black Tree
Heap
- Introduction to Heaps:
- Max-Heap and Min-Heap
- Heap Operations: Insert, Delete, Heapify
- Heap Sort Algorithm
- Priority Queues
Graph
- Introduction to Graphs
- Graph Representations: Adjacency Matrix, Adjacency List
- Types of Graphs: Directed, Undirected, Weighted,
- Unweighted
Graph Traversals: BFS (Breadth-First Search), DFS (Depth-First Search)
Algorithms
Complexity Theory
- Time Complexity: Big-O Notation, Best, Worst, Average Case
- Space Complexity: Analyzing Space
- Usage of Algorithms
- P vs NP Problem
- NP-Complete and NP-Hard Problems
- Approximation Algorithms
Searching Algorithms
- Linear Search
- Binary Search (Iterative and Recursive)
- Exponential Search
- Interpolation Search
Sorting
- Introduction to Sorting Algorithms
- Elementary Sorting Algorithms: Bubble Sort, Selection Sort, Insertion Sort
- Efficient Sorting Algorithms: Merge Sort, Quick Sort, Heap Sort
- Non-Comparative Sorting: Counting Sort, Radix Sort
Dynamic Programming
- Introduction to Dynamic Programming
- Memoization vs Tabulation
- Classic DP Problems: Fibonacci, Knapsack Problem, Longest Common Subsequence
- Optimal Substructure and Overlapping Subproblems
- Applications of DP: Coin Change, Matrix Chain Multiplication
Greedy Algorithms
- Introduction to Greedy Algorithms
- Greedy Choice Property and Optimal Substructure
- Classic Greedy Problems: Activity Selection, Huffman Coding, Fractional Knapsack
Binary Search
- Introduction to Binary Search
- Binary Search on Sorted Arrays
- Variations: Binary Search on Rotated Arrays, Searching in Infinite Arrays
Backtracking
- Introduction to Backtracking Algorithms
- Backtracking Problems: N-Queens, Sudoku Solver, Rat in a Maze
- Subset Sum Problem
- Applications in Puzzles and Combinatorial Problems
Recursion
- Introduction to Recursion
- Base Case and Recursive Case
- Recursive Functions: Factorial, Fibonacci Sequence, Tower of Hanoi
- Recursion vs Iteration: Advantages and Disadvantages
Divide and Conquer
- Introduction to Divide and Conquer Algorithms
- Problem Solving with Divide and Conquer: Merge Sort, Quick Sort, Binary Search
- Strassen’s Matrix Multiplication Algorithm
Hashing
- Introduction to Hashing and Hash Functions
- Hash Table Implementations
- Collision Resolution Techniques: Separate Chaining, Open Addressing
- Applications of Hashing: Caching, Hash Maps, Hash Sets
This Course Include
- Language: English & Hindi
- Duration : 1 Month / 3 Months / 6 Months
- Learning Mode: At Center ( Only Offline Classes )
- Certificate of Completion
Eligibility Criteria
✅ Anyone with basic computer knowledge can join our courses based on their preferences and career goals.
✅ Suitable for all age groups and backgrounds, including:
- School Students – Build a strong foundation in coding and technology.
- Job Seekers & Undergraduates – Gain in-demand skills to enhance employability.
- Working Professionals & Government Employees – Upskill for career growth and new opportunities.
- Homemakers – Learn and explore career opportunities in the tech industry.
Premium Course
Register For This Course
Who will Teach You
Haninder Kaur
Data Science and Analyst
About Ms. Haninder Kaur
Haninder Kaur, an MCA graduate with over 5 years of experience, specializes in Python, Artificial Intelligence (AI), and Machine Learning (ML). She is passionate about leveraging these technologies to develop innovative solutions that solve complex problems. Haninder has contributed to projects involving data analysis, predictive modeling, and automation. Her ability to break down complex concepts into digestible knowledge makes her an excellent mentor for those eager to explore AI and ML. Haninder’s expertise and forward-thinking approach position her as a key player in the rapidly evolving tech landscape.
Based on 69 Reviews
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Let Your Certificates Speak
- ISO: 9001:2015 Certified Data Structure & Algorithm Certification.
- Certificates are globally recognized & they upgrade your programming profile.
- Certificates are generated after the completion of course.
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Cyber Security
Data Analytics
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Web development
