Data Structures and Algorithms in C for Beginners
Data Structures and Algorithms in C for Beginners, available at $74.99, has an average rating of 4.37, with 69 lectures, 1 quizzes, based on 360 reviews, and has 16534 subscribers.
You will learn about Operations of Linear and Non-Linear Data Structures Searching and Sorting Algorithms Implementing Data Structures in C Programming Analyse any algorithm and find its time complexity This course is ideal for individuals who are Beginner C Programmers or Computer Science Aspirants or Those who wish to learn Data Structures and Algorithms It is particularly useful for Beginner C Programmers or Computer Science Aspirants or Those who wish to learn Data Structures and Algorithms.
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Summary
Title: Data Structures and Algorithms in C for Beginners
Price: $74.99
Average Rating: 4.37
Number of Lectures: 69
Number of Quizzes: 1
Number of Published Lectures: 69
Number of Published Quizzes: 1
Number of Curriculum Items: 70
Number of Published Curriculum Objects: 70
Original Price: ₹1,199
Quality Status: approved
Status: Live
What You Will Learn
- Operations of Linear and Non-Linear Data Structures
- Searching and Sorting Algorithms
- Implementing Data Structures in C Programming
- Analyse any algorithm and find its time complexity
Who Should Attend
- Beginner C Programmers
- Computer Science Aspirants
- Those who wish to learn Data Structures and Algorithms
Target Audiences
- Beginner C Programmers
- Computer Science Aspirants
- Those who wish to learn Data Structures and Algorithms
Hey there! Welcome to the course Data Structures and Algorithms in C for Beginners. This course gives all the necessary content on various data structures like Arrays, Stacks, Linkedlists, Queues, Trees and Graphs and how to implement them using C Programming. This course is also concentrated for beginners and so, we will start our lectures with the basic operations of arrays.
Post this couse, you will be able to
1. Explain all the operations of data structures.
2. Choose which data structure is apt to solve a particular problem.
3. Analyse the algorithm and find it’s time complexity (Big O)
4. Understand the workflow of various searching and sorting algorithms.
5. Understand and explain all the basic terminologies and traversals of Binary Tree, Binary Search Tree and Graphs.
6. Solve problems on data structures.
7. Apply Stacks and Queue to solve most of the coding contests.
8. Take up multiple choice questions on DSA in competitive exams.
A basic knowledge in C Programming is preferred. If you find DSA to be difficult, this course has content to make you comfortable in the data structures and algorithms.
A computer program is a set of instructions designed to carry out a certain activity. A computer program may need to store, retrieve, and compute data in order to accomplish this.
A specified location that can be used to store and arrange data is called a data structure. Additionally, an algorithm is a series of procedures used to solve a certain problem. We may create computer programmes that are effective and optimised by learning data structures and algorithms.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Types of Data Structures
Chapter 2: Analysis of Algorithms
Lecture 1: Analysis of Algorithms I
Lecture 2: Introduction to Asymptotic Notations and Big O
Lecture 3: How to find time complexity ?
Lecture 4: Problems on Time Complexities – Very Important
Chapter 3: Array
Lecture 1: Introduction to Arrays
Lecture 2: Giving array as user input
Lecture 3: Storing and retrieving in an array
Lecture 4: Inserting an element to the array
Lecture 5: Insertion in an array – Coding!
Chapter 4: Stacks
Lecture 1: Introduction to Stacks
Lecture 2: Top of the stack
Lecture 3: Last in First Out
Lecture 4: Stack overflow and Stack underflow
Lecture 5: Push and Pop code in c
Lecture 6: Reversing a string using stack – Algorithm
Lecture 7: Reversing a string using stack – C Code
Lecture 8: Balanced Paranthesis Algorithm
Lecture 9: Balanced Paranthesis Algorithm II
Lecture 10: Balanced Paranthesis Algorithm III
Lecture 11: Balanced Paranthesis checking using stack in c
Lecture 12: Manual Conversion from Infix to Postfix
Lecture 13: Algorithm for Infix to Postfix
Lecture 14: Tracing Infix to Postfix Algorithm
Lecture 15: Coding the algorithm for Infix to Postfix
Chapter 5: Linked Lists
Lecture 1: Introduction to Linkedlists
Lecture 2: Self referential structures
Lecture 3: Review on Pointers
Lecture 4: Structure of a Node
Lecture 5: Linking the nodes in c
Lecture 6: Creating a linked list with n nodes
Lecture 7: Inserting at the beginning – Algorithm
Lecture 8: Insertion at the beginning – C code
Lecture 9: Insertion at End – Algorithm
Lecture 10: Insertion at end – C code
Lecture 11: Insertion after a specific node – Algorithm
Lecture 12: Inserting a new node after a specific node – C Code
Lecture 13: Deletion at the beginning – Algorithm
Lecture 14: Deletion at beginning – C code
Lecture 15: Deletion at end – Algorithm
Lecture 16: Deleting a specific node – C code
Lecture 17: Circular Singly Linked Lists
Chapter 6: Queue
Lecture 1: Introduction to Queue
Lecture 2: Disadvantage of Linear Queue
Lecture 3: Basic Queue Operations
Chapter 7: Non linear Data Structures – Trees and Graphs
Lecture 1: Introduction to Non Linear Data Structures
Lecture 2: Tree Terminologies
Lecture 3: Introduction to Binary Trees
Lecture 4: Pre Order Traversal of BT
Lecture 5: Post Order Traversal
Lecture 6: Inorder Traversal
Lecture 7: Binary Search Trees
Lecture 8: Graph Terminologies
Lecture 9: Representation of a Graph
Chapter 8: Update – Implementation of Trees in C
Lecture 1: Implementation of Binary Trees in C/C++
Lecture 2: Implementation of Binary Trees in C,C++ – II
Lecture 3: Program for Binary Trees – III
Chapter 9: Searching and Sorting Algorithms
Lecture 1: Introduction to Searching and Sorting Algorithms
Lecture 2: Linear Search – Explanation
Lecture 3: Linear Search – Code
Lecture 4: Binary Search – Explanation
Lecture 5: Implementing Binary Search
Lecture 6: Bubble Sort
Lecture 7: Implementation of Bubble Sort
Lecture 8: Insertion Sort
Lecture 9: QuickSort – Easy Explanation
Chapter 10: Final Quiz
Chapter 11: Update – Djikstra's Algorithm
Lecture 1: Djikstra's algorithm – shortest path in a graph
Chapter 12: Update – Notes for Queues and Stacks
Lecture 1: Update – Notes for Queues and Stacks
Instructors
-
Sujithkumar MA
Engineer | Course Instructor
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 8 votes
- 3 stars: 64 votes
- 4 stars: 122 votes
- 5 stars: 161 votes
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