What is Data Structure?
Data structure is a collection of data type 'values' which are stored and organized in such a way that it allows for efficient access and modification.
Why learn Data Structure?
Data Structures and Algorithms explain the solutions to standard problems in detail. It also teaches you the science of evaluating algorithmic proficiency. It enables you to choose the best one from various options.
Prerequisites for learning Data Structure.
What we will learn in Data Structure?
- Definition of data structure
- Data structure operations
- Algorithms : Complexity, Time Space tradeoff
- Complexity of Algorithms
- Asymptotic Notations for Complexity of Algorithms
- Sub algorithms, Variables
- Data
- Introduction, Linear arrays
- Representation of linear arrays in memory
- Address calculation of using row
- and column major ordering
- Traversing linear arrays
- Inserting and Deleting
- Multidimensional arrays:
- Representation of Two-Dimensional arrays in memory
- Matrix
- Sparse Matrix
- Introduction of Pointer
- Array Pointer
- Function Pointer
- Linked Lists
- Representation of Linear Lists in memory
- Traversing a Linked List, Searching a linked List
- Memory allocation: Garbage collection
- overflow and underflow, Insertion into a linked list
- Deletion
- From linked list
- Circular linked lists
- Doubly linked lists
- Header linked lists
- Definition
- Array representation of stacks
- Linked representation of stacks
- Polish notation
- Evaluation of a Postfix Expression
- Transforming Infix Expressions into Postfix Expressions
- Array representation of Queues
- Linked representation of Queues
- Circular queues
- Priority Queue and D-Queue
- Introduction and Definition of Trees
- Tree Terminology
- Binary Tree
- Representing Binary Tress in Memory
- Traversing Binary Tree: Preorder
- In-order, Post-ordered traversal
- Traversal algorithms using
- Introduction
- Graph theory terminology
- Graph and multigraphs
- Directed Graphs
- Sequential
- Representation of graphs
- Adjacent matrix
- Path matrix
- Linked representations of a Graph
- Searching in a Graph
- Inserting in a graph
- Traversing a graph
- Breadth- First search
- Depth Final search
- Spanning tree (definition only)
- Sorting
- Bubble Sort
- Insertion sort
- Quick Sort
- Selection sort
- Merging
- Merge-sort
- Sequential and binary searches
- Indexed search
- Hashing Schemes
Benefits of joining Data Structure with C Training Course with Conaxweb Solutions.
- Job Oriented Training Program available in Offline/ Online mode.
- Curated Study Material with Project Case Study.
- Final year project & documentation guidance
- Training by Experienced faculty.
- Doubt sessions and real IT working experience.
- Interview Preparation material and Career Consulting.
- Certification on training completion.
Teaching Mode: Online / Offline
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Contact number : 05323557581, +91-9555433745
