Mastering critical SKILLS in Data Structures using Python

Mastering critical SKILLS in Data Structures using Python, available at $74.99, has an average rating of 5, with 181 lectures, 11 quizzes, based on 150 reviews, and has 1232 subscribers.

You will learn about Learn from basic to advanced datastructures MANY 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 Python

Summary

Title: Mastering critical SKILLS in Data Structures using Python

Price: $74.99

Average Rating: 5

Number of Lectures: 181

Number of Quizzes: 11

Number of Published Lectures: 181

Number of Published Quizzes: 11

Number of Curriculum Items: 192

Number of Published Curriculum Objects: 192

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Learn from basic to advanced datastructures

MANY 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!)

Content:

Asymptotic Complexity

Arrays

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 Python

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

Strong Programming Skills:

Built-in Data Structures: list, tuple, set, dictionary

Comfortable with recursive functions

Basic Programming Problem-Solving Skills

That is; solved a lot on the basic topics

Use IDE Debugger

Preferred: 

Project Building Skills

Don’t miss such a unique learning experience!

Acknowledgement: “I’d like to extend my gratitude towards Robert Bogan for his help with proofreading the slides for this course”

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Data Structure: What and Why

Lecture 2: Effective usage of the course

Lecture 3: Online Judge

Lecture 4: LeetCode OJ

Lecture 5: Resources and Students Community

Lecture 6: Important Note

Chapter 2: Arrays

Lecture 1: The Array

Lecture 2: Appending Operation

Lecture 3: Capacity Trick

Lecture 4: Insertion

Lecture 5: Abstract Data Type

Lecture 6: Arrays Homework – 7 Easy to Medium Challenges

Lecture 7: Arrays 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)

Lecture 5: Asymptotic Complexity (5)

Chapter 4: Singly Linked List

Lecture 1: The Node

Lecture 2: Displaying nodes

Lecture 3: Singly Linked List

Lecture 4: Linked List Traversal

Lecture 5: Effective Coding and Debugging for linked list 1

Lecture 6: Effective Coding and Debugging for linked list 2

Lecture 7: SLL Homework 1 – 5 Easy Challenges

Lecture 8: SLL Homework 1 – Solutions

Lecture 9: Deletion

Lecture 10: Logical and physical Data Structures

Lecture 11: SLL Homework 2 – 5 Easy Challenges

Lecture 12: SLL Homework 2 – 5 Easy Challenges NOTE

Lecture 13: SLL Homework 2 – Solution p1

Lecture 14: SLL Homework 2 – Solution p2 p3

Lecture 15: SLL Homework 2 – Solution p4 p5

Lecture 16: SLL Homework 3 – 5 Medium Challenges

Lecture 17: SLL Homework 3 – Solutions p1 p2

Lecture 18: SLL Homework 3 – Solutions p3 p4 p5

Lecture 19: SLL Homework 4 – 6 Medium to Hard Challenges

Lecture 20: SLL Homework 4 – Solution p1

Lecture 21: SLL Homework 4 – Solution p2

Lecture 22: SLL Homework 4 – Solution p3

Lecture 23: SLL Homework 4 – Solution p4 p5

Lecture 24: SLL Homework 4 – Solution p6

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 – Solution p1

Lecture 8: DLL Homework 2 – Solution p2

Lecture 9: DLL Homework 2 – Solution p3

Lecture 10: DLL Homework 2 – Solution p4

Chapter 6: Project: Sparse Array and Matrix

Lecture 1: Part 1 – Sparse Array

Lecture 2: Part 1 – Sparse Array Solution

Lecture 3: Part 2 – Sparse Matrix

Lecture 4: Part 2 – Sparse Matrix Solution

Chapter 7: Stack

Lecture 1: Important Note

Lecture 2: Stack

Lecture 3: Array-based Stack

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

Lecture 5: Stack Homework 1 – Solution p1 p2

Lecture 6: Stack Homework 1 – Solution p3 p4

Lecture 7: Stack Homework 2 – 3 Hard Challenges

Lecture 8: Stack Homework 2 – Solution p1

Lecture 9: Stack Homework 2 – Solution p2

Lecture 10: Stack Homework 2 – Solution p3

Lecture 11: Linked-list-based Stack

Lecture 12: Infix, Postfix and Prefix Notation

Lecture 13: Infix to Postfix

Lecture 14: Infix to Postfix Code

Lecture 15: Infix to Postfix with Parentheses

Lecture 16: Stack Homework 3 – 2 Medium Challenges

Lecture 17: Stack Homework 3 – Solution p1

Lecture 18: Stack Homework 3 – Solution p2

Lecture 19: Stack Homework 4 – 3 Hard Challenges

Lecture 20: Stack Homework 4 – Solution p1

Lecture 21: Stack Homework 4 – Solution p2

Lecture 22: Stack Homework 4 – Solution p3

Chapter 8: Queue

Lecture 1: Queue

Lecture 2: Queue using list

Lecture 3: Circular Queue

Lecture 4: Circular Queue Code

Lecture 5: Linked-list-based Queue

Lecture 6: Queue Homework 1 – 2 Easy Challenges

Lecture 7: Queue Homework 2 – 2 Medium Challenges

Lecture 8: Queue Homework 3 – 3 Hard Challenges

Instructors

Dr. Moustafa Saad Ibrahim
Educator, Software Engineer, Scientist, Competitive Coach

CSkilled Academy
High Quality With Intensive Practice CS Courses

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 0 votes

4 stars: 5 votes

5 stars: 143 votes

Frequently Asked Questions

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