The Complete Data Structures and Algorithms Course in Python

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2023-06-28
Learners

No Information
Duration

No Information
Instructor

Elshad Karimov

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4.4

51,497 Ratings

Dive into the world of data structures and algorithms with "The Complete Data Structures and Algorithms Course in Python." With over 40 hours of comprehensive content, this bootcamp offers a modern and thorough exploration of essential programming concepts. From mastering coding interviews to understanding complex algorithms, this course provides 100+ interview questions from top tech companies, such as Apple, Amazon, Google, and Microsoft. Learn Python and enhance your career prospects in this high-demand tech field.

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 18th, 2023]

Skills and Knowledge:
Uncover the intricacies of data structures and algorithms in Python through this all-encompassing course. Delve into fundamental algorithmic techniques, explore various data structures, and understand the nuances of sorting, searching, and graph algorithms. Gain the skills necessary to tackle coding challenges and excel in technical interviews.

Professional Growth:
Elevate your programming career with the expertise gained from this course. Acquiring proficiency in data structures and algorithms is crucial for a successful career in software development, and this course equips you with the necessary knowledge to excel in interviews, enhance your programming abilities, and open doors to advanced career opportunities.

Further Education:
This course serves as a springboard for further educational pursuits in the realm of programming and computer science. As you build a strong foundation in data structures and algorithms, you'll be better prepared to pursue specialized courses, certifications, and advanced degrees. The skills acquired here will provide a solid base for higher-level studies and continuous professional development.

Course Syllabus

Introduction

Big O Notation

Arrays

Python Lists

PROJECT 1 - Arrays/Lists

Array/List - CODING EXERCISES - LeetCode - Cracking FAANG Interview Questions

Top 10 Big O Interview Questions (Amazon, Facebook, Apple and Microsoft)

Dictionaries

Dictionary - CODING EXERCISES

Tuples

Tuple - CODING EXERCISES

OOP Concepts - Classes, Objects, Attributes and Methods

Linked List

SLL - CODING EXERCISES

Circular Singly Linked List

Doubly Linked List

Circular Doubly Linked List

Cracking Linked List Interview Questions (Amazon, Facebook, Apple and Microsoft)

Stack

Queue

Cracking Stack and Queue Interview Questions (Amazon,Facebook, Apple, Microsoft)

Recursion

Cracking Recursion Interview Questions

Bonus CHALLENGING Recursion Problems

Tree / Binary Tree

Binary Search Tree

AVL Tree

Binary Heap

Trie

Hashing

Sort Algorithms

Searching Algorithms

Graph Algorithms

Graph Traversal - Breadth First Search and Depth First Search

Topological Sort Algorithm

Single Source Shortest Path

Graph Algorithms - Dijsktra's Algorithm

Graph Algorithms -Bellman Ford Algorithm

All Pairs Shortest Path

Graph Algorithms - Floyd Warshall Algorithm

Minimum Spanning Tree (Disjoint Set)

Graph Algorithms - Kruskal and Prim's Algorithms

Cracking Trees and Graphs Top Interview Questions (Apple, Amazon, Facebook)

Greedy Algorithms

Divide and Conquer Algorithms

Dynamic Programming

CHALLENGING Dynamic Programming Problems

A Recipe for Problem Solving

Backtracking

The Wild West

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