Learn Data Structure with our offline classroom course in Nashik. Build strong programming fundamentals, logic building skills, and hands-on project experience with expert guidance.
What is Data Structure ?
Data Structure is a method of organizing and managing data for efficient access and modification. It is a fundamental concept used in almost every field of software development, including operating systems, databases, and programming.
Course Overview
Our Data Structures course is designed for students and working professionals who want to strengthen their problem-solving and coding skills. This course covers fundamental and advanced concepts of data organization and manipulation, which are essential for writing efficient programs and cracking technical interviews.
Students will learn about arrays, linked lists, stacks, queues, trees, graphs, hashing, sorting, and searching algorithms, along with real-world applications and time-space complexity analysis. The course is suitable for anyone preparing for software development roles or competitive programming.
Topics to be Covered
Introduction
- Overview of Data Structures. Types of Data Structures Importance of Data Structures in Computer Programming
- Array Introduction to Arrays. One-dimensional Array Two-dimensional Array. Multidimensional Array Operations on Arrays
- Pointer Introduction to Pointers. Pointer Operations Pointer and Arrays. Pointers and Functions Pointer and Structures
- Function Introduction to Functions Function Parameters and Arguments. Recursive Functions Function Pointers
- Structure Introduction to Structures.Declaring and Defining Structures Accessing Structure Elements Nested Structures
- Stack Introduction to Stack Operations on Stack Applications of Stack
- Queue Introduction to Queue Linear Queue and Operations Circular Queue and Operations
- Linked List Introduction to Linked List. Types of Linked List (Single, Double, Circular, Header).Linked List Operations Applications of Linked List
- Tree Introduction to Trees Binary Tree. Tree Traversal Binary Search Tree
- Graph Introduction to Graphs. Types of Graphs Graph Traversal Algorithms Minimum Spanning Tree
- Hashing and Searching Introduction to Hashing Hash Table Operations Searching Algorithms Linear Search and Binary Search
- Sorting Introduction to Sorting Bubble Sort .Insertion Sort Selection Sort Merge Sort. Quick Sort
Career and Job Opportunities :
Data Structures and Algorithms are the backbone of computer programming and software development. After completing the course, students can apply for the following career roles:
- Software Developer
- Backend Developer
- Competitive Programmer
- Data Analyst
- Full Stack Developer
- System Programmer
- Algorithm Engineer
- Technical Support Engineer
- Software Tester (with algorithm knowledge)
- Research Intern (in Computer Science fields)
- SDE (Software Development Engineer) at product-based companies
A strong command over Data Structures and Algorithms is essential for cracking technical interviews in top companies like Google, Amazon, Microsoft, and Infosys.