Data Structure Algorithms Course
Unlock the power of data and logic with ESS Institute’s Data Structures and Algorithms with Python course. In just six months, enhance your coding skills and boost your career prospects through hands-on learning, expert career guidance, globally recognized certifications, and placement support.
Job Assistance
Live + Recorded Classes
45 Days
Hindi
Become a DSA expert in your favourite Programming Languages
Learning DSA in any of these programming languages will help you understand how the basic logic, storage and complexity work.
What Will You Learn
A comprehensive outline of the course, highlighting the main topics, learning objectives, and the sequence of modules.
- What are Data Structures?
- What are Algorithms?
- Importance of DSA in
- Problem Solving
- Time and Space Complexity
- Big O Notation
- Big Omega and Big Theta Notations
- Asymptotic Analysis
- Introduction to Arrays
- Operations on Arrays
- Insertion, Deletion, and Traversal
- Two-Pointer Technique
- Sliding Window Technique
- Hashing Basics
- 1D and 2D Arrays
- Common Problems and Solutions
- Interview Questions on Arrays
- Introduction to Linked Lists
- Singly Linked List
- Insertion, Deletion, and Traversal
- Doubly Linked List
- Circular Linked List
- Operations on Linked Lists
- Common Problems and Solutions
- Interview Questions on Linked Lists
- Introduction to Stacks
- Stack Operations
- Push, Pop, Peek
- Stack Implementation
- Applications of Stack
- Expression Evaluation (Infix, Prefix, Postfix)
- Balanced Parentheses
- Common Problems and Solutions
- Interview Questions on Stacks
- Introduction to Queues
- Queue Operations
- Enqueue, Dequeue, Peek
- Types of Queues
- Circular Queue
- Priority Queue
- Deque (Double-Ended Queue)
- Queue Implementation
- Applications of Queue
- Common Problems and Solutions
- Interview Questions on Queues
- Introduction to Trees
- Binary Tree
- Inorder, Preorder, Postorder Traversal
- Binary Search Tree (BST)
- Insertion, Deletion, and Searching
- Balanced Trees (AVL, Red-Black Trees)
- Tree Traversal Techniques
- Breadth-First Search (BFS)
- Depth-First Search (DFS)
- Common Problems and Solutions
- Interview Questions on Trees
- Introduction to Heaps
- Binary Heap
- Min Heap and Max Heap
- Heap Operations
- Insertion, Deletion, Heapify
- Priority Queue Implementation Using Heaps
- Heap Sort
- Common Problems and Solutions
- Interview Questions on Heaps
- Introduction to Hashing
- Hash Tables and Hash Functions
- Collision Resolution Techniques
- Chaining
- Open Addressing
- Applications of Hashing
- Common Problems and Solutions
- Interview Questions on Hashing
Introduction to Graphs
Graph Representation
Adjacency Matrix
Adjacency List
Graph Traversal
Techniques
Breadth-First Search (BFS)
Depth-First Search (DFS)
Minimum Spanning Tree
Kruskal’s Algorithm
Prim’s Algorithm
Shortest Path Algorithms
Dijkstra’s Algorithm
Bellman-Ford Algorithm
Common Problems and Solutions
Interview Questions on Graphs
Searching & Sorting Algorithms
Linear Search
Binary Search
Sorting Algorithms
Bubble Sort
Selection Sort
Insertion Sort
Merge Sort
Quick Sort
Heap Sort
Time Complexity Analysis
Common Problems and Solutions
Interview Questions on Searching & Sorting
Introduction to Dynamic
Programming (DP)
Memoization vs Tabulation
Classic DP Problems
Fibonacci Sequence
Longest Common Subsequence (LCS)
Knapsack Problem
Optimal Substructure and Overlapping Subproblems
Common Problems and Solutions
Interview Questions on Dynamic Programming
Tries
Prefix Trees
Applications of Tries (Autocomplete, Spell Checker)
Bit Manipulation
Basic Operations
Applications in Problem Solving
Backtracking
N-Queens Problem
Sudoku Solver
Greedy Algorithms
Greedy Choice Property
Fractional Knapsack
Divide and Conquer
Merge Sort
Quick Sort
Binary Search
Build Projects from Scratch
Hands-on experience by building real-world digital marketing projects from scratch.
Data Structure Implementations
Sorting Algorithms Visualizer
Pathfinding Algorithm Simulator
Real-World Data Analysis
Text-Based Adventure Game
Social Network Graph Analysis
Get Certified and Grow your career
You will receive a certificate from ESS Institute for completing the Data Structure & Algorithems course that will help you find the most relevant jobs like…
Software Developer, Backend Developer, Data Scientist, Machine Learning Engineer, Software Engineer (General), Algorithm Engineer, Data Engineer, Systems Architect, Technical Consultant, Research Scientist
Frequently Asked Questions
Look at the most common frequently asked questions of students in 2024-25
The course runs for 3 to 4 months course based on your ability to grasp technical concepts of programing.
The course covers the basics of Data structure, all the most important DS like stack, queue, tree etc, their implementation and their static memory allocation and dynamic memory allocation.
The course is specifically for programming students, especially from colleges and universities. Although Class 11,12 students can also join.
Certainly, upon completing the course, one gets certified. This certification is recognized in industry circles and will go a long way in strengthening your profile as a c++, python or java programmer.
All our courses at ESS Institute are affiliated and recognised by the Government of Delhi and the Central Government of India
