Data Structure Algo in C++ with Free Prerequisite Videos

Data Structure & Algo in C++ with Free Prerequisite Videos, available at $19.99, has an average rating of 4, with 101 lectures, based on 1 reviews, and has 13 subscribers.

You will learn about To study data structures and their implementations and applications. To learn different searching and sorting techniques. To study some advanced data structures such as stack, Queue, Trees, Graphs, Tables, etc. To learn algorithm development and analysis of algorithms. This course is ideal for individuals who are Though you might be very new or studied data structure before But still if you want to learn more about Data Structure in detail so that it helps you solve challenging problems and become standout programmer then this course is right place for you. It is particularly useful for Though you might be very new or studied data structure before But still if you want to learn more about Data Structure in detail so that it helps you solve challenging problems and become standout programmer then this course is right place for you.

Enroll now: Data Structure & Algo in C++ with Free Prerequisite Videos

Summary

Title: Data Structure & Algo in C++ with Free Prerequisite Videos

Price: $19.99

Average Rating: 4

Number of Lectures: 101

Number of Published Lectures: 101

Number of Curriculum Items: 101

Number of Published Curriculum Objects: 101

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

To study data structures and their implementations and applications.

To learn different searching and sorting techniques.

To study some advanced data structures such as stack, Queue, Trees, Graphs, Tables, etc.

To learn algorithm development and analysis of algorithms.

Who Should Attend

Though you might be very new or studied data structure before But still if you want to learn more about Data Structure in detail so that it helps you solve challenging problems and become standout programmer then this course is right place for you.

Target Audiences

Though you might be very new or studied data structure before But still if you want to learn more about Data Structure in detail so that it helps you solve challenging problems and become standout programmer then this course is right place for you.

Hi,

Disclaimer:

WE REALLY APPRECIATE AND RESPECT YOUR TIME, SO IN THIS COURSE YOU WILL GET TO THE POINT AND DETAILED  EXPLANATION (Concept’s Theory, Examples, Code and Analysis).

WE DEVELOP THIS COURSE FROM THE BOTTOM OF OUR HEART AND WITH GENUINE PASSION.

IF YOU ARE PASSION DRIVEN, DOER AND ENJOY LEARNING THINGS IN NEW WAY, THIS COURSE IS FOR YOU.

                                                                    Wish You Happy Learning.

Data Structure is a heart of programming, That’s why all product development company focus on data structure and in almost all technical interview data structure plays very important role.

Though you might be very new or studied data structure before But still if you want to learn more about Data Structure in detail so that it helps you solve challenging problems and become standout programmer then this course is right place for you.

In this course we will start with prerequisite of data structure and then slowly we will move from basic to advance level data structure.

This course will be helpful throughout you programming journey, even after you placed in good company.

Objectives:

1. To study data structures and their implementations and applications.

2. To learn different searching and sorting techniques.

3. To study some advanced data structures such as stack, Queue, Trees, Graphs, Tables, etc.

4. To learn algorithm development and analysis of algorithms.

On completion of the course, you will be able to–

1. Perform basic analysis of algorithms with respect to time and space complexity.

2. Select appropriate searching and/or sorting techniques in the application development.

3. Implement abstract data type (ADT) and data structures for given application.

4. Apply implement learned algorithm design techniques and data structures to solve problems.

5. Design different hashing functions and use files organizations.

Requirements

Course Prerequisites videos are available in course in second section, those videos are well explained with in basic concept, programs and memory representation.

Kindly go through that, definitely you will learn new things and enjoy new perspective of learning.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Introduction

Chapter 2: Prerequisite Fundamentals Required for Data Structure

Lecture 1: Visual Studio Code Installation and Configuration

Lecture 2: How to print and format output in C++

Lecture 3: Variables Concept

Lecture 4: Interesting Facts about Varables in C++

Lecture 5: How to take input in C++

Lecture 6: Interesting Facts and Common Errors while taking Input in C++

Lecture 7: Operators in C++

Lecture 8: If-Else concept in C++ (Conditional Decision Control Statement)

Lecture 9: Interesting Facts and Important Things to Know about If- else Statement

Lecture 10: If else Practice Problems

Lecture 11: Loops Concepts and its Use in C++

Lecture 12: Loops Practice Problems

Lecture 13: Nested Loops in C++

Lecture 14: Switch Case in C++

Lecture 15: Introduction to Functions

Lecture 16: Function Importance with Code and Real world Example

Lecture 17: Function with Reference variable C++

Lecture 18: How to code Menu Driven Program?

Lecture 19: Class Concept in C++

Chapter 3: Array (Static & Linear Data Structure)

Lecture 1: Introduction to Array

Lecture 2: Array as an ADT

Lecture 3: Multi Dimentional Arrays

Lecture 4: Address Calculation of Array Elements

Chapter 4: Recursion Concept

Lecture 1: Introduction to Recursion

Lecture 2: Types of Recurssion

Chapter 5: Pointers and Structures in C++

Lecture 1: Structure Concept (a User Define Data Type in C++)

Lecture 2: Pointers in C++ with Memory Representation

Lecture 3: Dynamic memory allocation using Pointers

Chapter 6: Complexity Analysis and Types of Data Structure

Lecture 1: Introduction and Types of Data Structure

Lecture 2: Analysis-of-complexity

Lecture 3: Step Count Method

Lecture 4: Programming Constructs

Chapter 7: Linked List Data Structure

Lecture 1: Singly Linked List – Creation and display

Lecture 2: Singly Link List – Insertion

Lecture 3: Singly Linked List – Deletion Operation

Lecture 4: Singly Linked List – Search Operation

Lecture 5: Doubly Linked List – Creation and Display Operation

Lecture 6: Doubly Linked List – Insertion and Deletion Operation

Lecture 7: Circular Linked List

Chapter 8: Searching Techniques with Theory, Code, Analysis and Simple Tricks

Lecture 1: Linear Search

Lecture 2: Binary Search

Lecture 3: Index Sequential Search – Theory and examples

Lecture 4: Index Sequential Search – Code and Analysis

Lecture 5: Sentinel Search

Lecture 6: Fibonacci Search

Chapter 9: Sorting Techniques with Theory, Code, Analysis and Simple Tricks

Lecture 1: Bubble sort – Theory and Examples

Lecture 2: Bubble Sort Code and Analysis

Lecture 3: Selection Sort – Theory and Examples

Lecture 4: Selection Sort Code and Analysis

Lecture 5: Insertion Sort – Theory and Examples

Lecture 6: Insertion Sort Code and Analysis

Lecture 7: Quick Sort – Theory and Examples

Lecture 8: Quick Sort – Code and Analysis

Lecture 9: Merge Sort – Theory and Examples

Lecture 10: Merge Sort – Code and Analysis

Lecture 11: Shell Sort

Lecture 12: Counting_Sort

Lecture 13: Radix Sort

Lecture 14: Bucket Sort

Chapter 10: Sparse Matrix with Theopry and Examples

Lecture 1: Introduction and Need of Sparse Matrix

Lecture 2: Simple Transpose of Sparse Matrix

Lecture 3: Fast Transpose of Sparse Matrix

Lecture 4: Addition of Transpose of Sparse Matrix with Theopry and Examples

Lecture 5: Addition of Transpose of Sparse Matrix with Code

Chapter 11: Polynomial Operations Using Array Data Structure with Theory, Examples and Code

Lecture 1: Introduction to Plynomials Using Array Data Structure

Lecture 2: Plynomials Addition Using Array Data Structure

Lecture 3: Multiplication of Plynomials Using Array Data Structure

Chapter 12: Stack Data Structure

Lecture 1: Introduction and Implementation of Stack Data Structure using Array

Lecture 2: Implementation of Stack Data Structure using Linked List

Lecture 3: Stack as an ADT

Lecture 4: Conversion Techniques (Infix to Prefix & Postfix) in Stack Data Structure

Lecture 5: Expression Evaluation using Stack Data Structure

Chapter 13: Queue Data Structure with Theory, Examples and Code

Lecture 1: Queue Introduction and Implementation using Array (Creation, Insertion, Deletion

Lecture 2: Queue Introduction and Implementation using Linked List ( with CURD Operation)

Lecture 3: Double Ended Queue (DeQueue) Implementation (Insertion & Deletion from Both End)

Lecture 4: Circular Queue Introduction and Implementation (CURD Operation)

Chapter 14: Tree Data Structure with Theory, Code, Examples and Simples Tricks and Tips

Lecture 1: Binary Tree Creation Using Traversing Techniques (Preorder, Inorder & Postorder)

Lecture 2: Binary Tree Traversing Techniques (Preorder, Inorder and Postorder)

Lecture 3: Preorder Traversing Algorithm with its Implementation ( Non Recursive Approach )

Lecture 4: Preorder Traversing Algorithm with its Implementation ( Recursive Approach )

Lecture 5: Inorder and Postorder Traversing Algorithm with its Implementation

Lecture 6: Binary Search Tree (BST) Creation, Insertion, Deletion and Searching Operation

Lecture 7: Expression Tree Creation using Prefix, Postfix and Infix Expression

Chapter 15: Graph Data Structure

Lecture 1: Graphs basic Terminology and Representation using Array and Linked List

Instructors

Tulsidas Patil
Corporate Trainer, Author, Professor

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