Data Structure – Part I

Data Structure – Part I, available at Free, has an average rating of 4.4, with 31 lectures, based on 1285 reviews, and has 56179 subscribers.

You will learn about The course prepares the students for (and is a prerequisite for) the more advanced material students will encounter in later courses. The topics covered in the course are among the most fundamental material in all of computer science. The students will not only understand the working behaviour of data structures but also be able to implement those from scratch. The course will cover well-known data structures such as dynamic arrays, linked lists, stacks, queues and tree. This course is ideal for individuals who are This course is for anyone using a computer to address large problems (and therefore needing efficient algorithms). This course is suitable for all computer science students and professionals including people majoring in engineering, biology, physics, chemistry, economics, and many other fields, not just computer science. It is particularly useful for This course is for anyone using a computer to address large problems (and therefore needing efficient algorithms). This course is suitable for all computer science students and professionals including people majoring in engineering, biology, physics, chemistry, economics, and many other fields, not just computer science.

Enroll now: Data Structure – Part I

Summary

Title: Data Structure – Part I

Price: Free

Average Rating: 4.4

Number of Lectures: 31

Number of Published Lectures: 31

Number of Curriculum Items: 31

Number of Published Curriculum Objects: 31

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

The course prepares the students for (and is a prerequisite for) the more advanced material students will encounter in later courses. The topics covered in the course are among the most fundamental material in all of computer science. The students will not only understand the working behaviour of data structures but also be able to implement those from scratch. The course will cover well-known data structures such as dynamic arrays, linked lists, stacks, queues and tree.

Who Should Attend

This course is for anyone using a computer to address large problems (and therefore needing efficient algorithms). This course is suitable for all computer science students and professionals including people majoring in engineering, biology, physics, chemistry, economics, and many other fields, not just computer science.

Target Audiences

This course is for anyone using a computer to address large problems (and therefore needing efficient algorithms). This course is suitable for all computer science students and professionals including people majoring in engineering, biology, physics, chemistry, economics, and many other fields, not just computer science.

Data Structures is a core course in a typical undergraduate Computer Science course. The topics covered in the course are among the most fundamental material in the field of computer science. Yo become a successful computer scientist or software programmer, you should have strong understanding of Data Structure and this course will polish your skills.

In this course we will work together and implement well-known data structures such as dynamic arrays, linked lists, stacks, queues, tree and time complexity analysis.

We tried our best to designed this course to be easily understood by absolute beginners.

Course Curriculum

Chapter 1: Introduction to Data Structure

Lecture 1: Introduction

Chapter 2: List

Lecture 1: Arrary Basics

Lecture 2: Add Method – Part 1

Lecture 3: Add Method – part 2

Lecture 4: Remove Method

Lecture 5: Unit Testing

Lecture 6: Code

Chapter 3: Linked List

Lecture 1: Linked List Introduction

Lecture 2: Add Method

Lecture 3: InsertAt Method

Lecture 4: Remove Method – Part 1

Lecture 5: Remove Method – Part 2

Lecture 6: Code

Chapter 4: Josephus Problem

Lecture 1: Problem Introduction

Lecture 2: Solution Implementation

Lecture 3: Code

Chapter 5: Stack Data Structure

Lecture 1: Stack Introduction

Lecture 2: Uses of Stack

Lecture 3: Infix to Postfix Conversion

Lecture 4: Infix to Postfix Implementation – Part 1

Lecture 5: Infix to Postfix Implementation – Part 2

Lecture 6: Postfix Evaluation

Lecture 7: Postfix Expression implementation

Lecture 8: Code

Chapter 6: Runtime Analysis

Lecture 1: Measuring Time Complexity – Part 1

Lecture 2: Measuring Time Complexity – Part 2

Lecture 3: Measuring Time Complexity – Part 3

Lecture 4: Measuring Time Complexity – Part 4

Chapter 7: Code Analysis

Lecture 1: Code Analysis – Part 1

Lecture 2: Code Analysis – Part 2

Lecture 3: Code Analysis – Part 3

Instructors

Muhammad Tariq
Problem Solving School

Rating Distribution

1 stars: 103 votes
2 stars: 112 votes
3 stars: 261 votes
4 stars: 392 votes
5 stars: 417 votes

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