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 – Djikstras Algorithm

Lecture 1: Djikstras 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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