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:
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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).
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WE DEVELOP THIS COURSE FROM THE BOTTOM OF OUR HEART AND WITH GENUINE PASSION.
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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:
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To study data structures and their implementations and applications.
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To learn different searching and sorting techniques.
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To study some advanced data structures such as stack, Queue, Trees, Graphs, Tables, etc.
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To learn algorithm development and analysis of algorithms.
On completion of the course, you will be able toβ
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Perform basic analysis of algorithms with respect to time and space complexity.
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Select appropriate searching and/or sorting techniques in the application development.
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Implement abstract data type (ADT) and data structures for given application.
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Apply implement learned algorithm design techniques and data structures to solve problems.
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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: Graph's basic Terminology and Representation using Array and Linked List
Instructors
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Tulsidas Patil
Corporate Trainer, Author, Professor
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- 4 stars: 1 votes
- 5 stars: 0 votes
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