Mastering critical SKILLS in Data Structures using C++

Mastering critical SKILLS in Data Structures using C++, available at $84.99, has an average rating of 4.65, with 209 lectures, 11 quizzes, based on 1023 reviews, and has 6119 subscribers.

You will learn about Learn from basic to advanced data structures ~180 explained problems from Easy to Medium to Hard + quizzes Well-written and modular short codes Short but very informative and deep material A fundamental step toward improving problem solving skills A fundamental step toward interviews preparation Algorithms course should be an easier learning experience This course is ideal for individuals who are Mastering inner details of several important data structures or Not just learn, but strongly apply & alter data structures or whoever want to master more of computer science fundamentals It is particularly useful for Mastering inner details of several important data structures or Not just learn, but strongly apply & alter data structures or whoever want to master more of computer science fundamentals.

Enroll now: Mastering critical SKILLS in Data Structures using C++

Summary

Title: Mastering critical SKILLS in Data Structures using C++

Price: $84.99

Average Rating: 4.65

Number of Lectures: 209

Number of Quizzes: 11

Number of Published Lectures: 208

Number of Published Quizzes: 11

Number of Curriculum Items: 220

Number of Published Curriculum Objects: 219

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Learn from basic to advanced data structures
~180 explained problems from Easy to Medium to Hard + quizzes
Well-written and modular short codes
Short but very informative and deep material
A fundamental step toward improving problem solving skills
A fundamental step toward interviews preparation
Algorithms course should be an easier learning experience

Who Should Attend

Mastering inner details of several important data structures
Not just learn, but strongly apply & alter data structures
whoever want to master more of computer science fundamentals

Target Audiences

Mastering inner details of several important data structures
Not just learn, but strongly apply & alter data structures
whoever want to master more of computer science fundamentals

Almost all other courses focus on knowledge. In this course, we focus ongaining real skills.

Overall:

The course covers basic to advanced data structures
Learn the inner details of the data structures and their time & memory complexity analysis
Learn how to code line-by-line
Source code and Slides and provided for all content
An extensive amount of practice to master the taught data structures (where most other content fails!)
- ~180 problems from easy to hard!

Content:

Asymptotic Complexity
Vector
Singly Linked List
Doubly Linked List
Project: Sparse Array and Matrix
Stack
Queue
Binary Tree
Binary Search Tree
Binary Heap
AVL Tree
Letter Tree (Trie)
Hash Table
Extensive Homework sets with video solutions

Teaching Style:

Instead of long theory then coding style, we follow a unique style
I parallelize the concepts with the codes as much as possible
Go Concrete as possible
Use Clear Visualization

By the end of the journey

Solid understanding of Data Structures topics in C++
Mastering different skills
- Analytical and Problem-Solving skills
- Clean coding for data structures
- Black-box applying on DS
With the administered problem-solving skills
- You can start competitive programming smoothly [DS type]
- Smooth start in Algorithms course
- One more step toward interviews preparation

Prerequisites

Programming Skills:
- Up to arrays & functions
- Comfortable with recursive functions
- Comfortable with pointers
- Basics of OOP: Just Class, Private and Public Sections.
Preferred:
- Learning and using STL
- Project Building Skills
- Basic Programming Problem-Solving Skills

It is going to be a transformative experience. Please read reviews to get a flavour of that. It is not going to be easy work. It will be Stanford-like course. You can skip homework if you want easier or shorter learning experience.

Don’t miss such a unique learning experience!

Course Curriculum

Chapter 1: Getting Started

Lecture 1: What is a Data Structure?

Lecture 2: Why Data Structures?

Lecture 3: Effective usage of the course

Lecture 4: Resources and Students Community

Lecture 5: Important Note

Chapter 2: Vector

Lecture 1: Vector

Lecture 2: Appending operation

Lecture 3: Capacity Trick

Lecture 4: Insertion

Lecture 5: Abstract Data Type

Lecture 6: The missing steps

Lecture 7: Vector Homework – 5 Medium Challenges

Lecture 8: Vector Homework – Solutions

Chapter 3: Asymptotic Complexity

Lecture 1: Asymptotic Complexity (1)

Lecture 2: Asymptotic Complexity (2)

Lecture 3: Asymptotic Complexity (3)

Lecture 4: Asymptotic Complexity (4)

Chapter 4: Singly Linked List

Lecture 1: The Node

Lecture 2: Display Nodes

Lecture 3: Singly Linked List

Lecture 4: Traversal

Lecture 5: Effective Coding and Debugging for linked list

Lecture 6: SLL Homework 1 – 6 Easy Challenges

Lecture 7: SLL Homework 1 – Solutions

Lecture 8: Deletion

Lecture 9: Logical and physical Data Structures

Lecture 10: Important Update

Lecture 11: SLL Homework 2 – 5 Easy Challenges

Lecture 12: SLL Homework 2 – 5 Easy Challenges NOTE

Lecture 13: SLL Homework 2 – Solutions p1 p2 p3

Lecture 14: SLL Homework 2 – Solutions p4 p5

Lecture 15: SLL Homework 3 – 6 Medium Challenges

Lecture 16: SLL Homework 3 – Solutions p1 p2 p3

Lecture 17: SLL Homework 3 – Solutions p4 p5 p6

Lecture 18: SLL Homework 4 – 5 Medium to Hard Challenges

Lecture 19: SLL Homework 4 – Solutions p1 p2 p3

Lecture 20: SLL Homework 4 – Solutions p4 p5

Chapter 5: Doubly Linked List

Lecture 1: Doubly Linked List

Lecture 2: DLL Insertion

Lecture 3: DLL Deletion

Lecture 4: DLL Homework 1 – 4 Easy to Medium Challenges

Lecture 5: DLL Homework 1 – Solutions

Lecture 6: DLL Homework 2 – 4 Medium to Hard Challenges

Lecture 7: DLL Homework 2 – Solutions p1

Lecture 8: DLL Homework 2 – Solutions p2

Lecture 9: DLL Homework 2 – Solutions p3

Lecture 10: DLL Homework 2 – Solutions p4

Chapter 6: Project: Sparse Array and Matrix

Lecture 1: Description

Lecture 2: Solution Part 1

Lecture 3: Solution Part 2

Chapter 7: Stack

Lecture 1: What is Stack

Lecture 2: Array-based Stack

Lecture 3: Homework 1 – 6 Easy to Medium Challenges

Lecture 4: Homework 1 – Solutions p1 p2 p3

Lecture 5: Homework 1 – Solutions p4

Lecture 6: Homework 1 – Solutions p5 p6

Lecture 7: Homework 2 – 6 Medium to Hard Challenges

Lecture 8: Homework 2 – Solutions p1

Lecture 9: Homework 2 – Solutions p2 p3

Lecture 10: Homework 2 – Solutions p4

Lecture 11: Homework 2 – Solutions p5

Lecture 12: Homework 2 – Solutions p6

Lecture 13: Linked-list-based Stack

Lecture 14: Infix, Postfix and Prefix Notation

Lecture 15: Infix to Postfix 1

Lecture 16: Infix to Postfix 2

Lecture 17: Homework 3 – 5 Medium to Hard Challenges

Lecture 18: Homework 3 – Solutions p1 p2 p3

Lecture 19: Homework 3 – Solutions p4 p5

Chapter 8: Queue

Lecture 1: Simple Queue

Lecture 2: Circular Queue

Lecture 3: Linked-list-based Queue

Lecture 4: Homework 1 – 4 Easy to Medium Challenges

Lecture 5: Homework 1 – solutions

Lecture 6: Homework 2 – 3 Medium to Hard Challenges

Lecture 7: Homework 2 – Solutions

Lecture 8: STL Vector, Stack, Queue

Chapter 9: Binary Tree

Lecture 1: Trees

Lecture 2: Binary Tree Node

Lecture 3: Binary Tree Traversal 1

Lecture 4: Binary Tree Traversal 2

Lecture 5: Binary Tree Traversal 3

Lecture 6: Binary Tree Types

Lecture 7: Binary Tree Formulas

Instructors

Dr. Moustafa Saad Ibrahim
Educator, Software Engineer, Scientist, Competitive Coach
CSkilled Academy
High Quality With Intensive Practice CS Courses

Rating Distribution

1 stars: 5 votes
2 stars: 2 votes
3 stars: 23 votes
4 stars: 66 votes
5 stars: 927 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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