Algorithms and Data Structures in Python (INTERVIEW Q&A) faq

star-rating
4.5
learnersLearners: 27,606
instructor Instructor: Holczer Balazs instructor-icon
duration Duration: duration-icon

This course is perfect for anyone looking to learn the fundamentals of data structures, algorithms and graphs in Python. It covers topics such as setting up the environment, arrays, linked lists, stacks and queues, binary search trees, AVL trees and red-black trees, priority queues and heaps, hashing and dictionaries, graph traversal, shortest path problems, spanning trees, substring search algorithms, Hamiltonian cycles, sorting algorithms and algorithms analysis. Each chapter includes theoretical background and step-by-step code implementation in Python. This course is ideal for those looking to use Python in fields such as investment banking, artificial intelligence or electronic trading algorithms on the stock market. Join now and start learning!

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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2023-07-04

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 [July 18th, 2023]

This course, Algorithms and Data Structures in Python (INTERVIEW Q&A), is designed to provide an overview of data structures, algorithms and graphs. Students will learn to implement the problems in Python programming language. The course will cover topics such as setting up the environment, differences between data structures and abstract data types, arrays, linked lists, stacks and queues, binary search trees, balanced binary trees (AVL Trees and Red-Black Trees), priority queues and heaps, hashing and dictionaries, graph traversal, shortest path problems (Dijkstra's and Bellman-Ford Algorithms), spanning trees (Kruskal's and Prim's Approaches), substring search algorithms, Hamiltonian cycles (Travelling Salesman Problem), sorting algorithms, and algorithms analysis. Students will gain an understanding of the theoretical background of each algorithm or data structure, and will write the code step by step in Python. This course is beneficial for those interested in fields such as investment banking, artificial intelligence, or electronic trading algorithms on the stock market.

Course Syllabus

Introduction

Installation and Environment Setup

### DATA STRUCTURES ###

Data Structures - Arrays

Interview Questions - (Arrays)

Data Structures - Linked Lists

Data Structures - Doubly Linked Lists

Interview Questions (Linked Lists)

Data Structures - Stacks

Data Structures - Queues

Interview Questions (Stacks and Queues)

Data Structures - Binary Search Trees

Interview Questions (Binary Search Trees)

Data Structures - AVL Trees

Data Structures - Red-Black Trees

Data Structures - Heaps

Interview Questions (Heaps)

Data Structures - Associative Arrays (Dictionaries)

### GRAPH ALGORITHMS ###

Graph Algorithms - Graph Traversal Algorithms

Depth-First Search

Interview Questions (Graph Traversal)

Graph Algorithms - Shortest Paths with Dijkstra's Algorithm

Graph Algorithms - Shortest Paths with Bellman-Ford Algorithm

Interview Questions (Shortest Paths)

Graph Algorithms - Spanning Trees with Kruskal Algorithm

Graph Algorithms - Spanning Trees with Prims Algorithm

Hamiltonian Cycles - Travelling Salesman Problem

### SUBSTRING SEARCH ALGORITHMS ###

### SORTING ALGORITHMS ###

Interview Questions (Sorting)

Other Algorithmic Problems

### APPENDIX - COMPLEXITY THEORY CRASH COURSE ###

Next Steps

Course Materials (DOWNLOADS)

Pros & Cons

Pros Cons
  • pros

    Good teaching with clear explanation: Users appreciate the instructor's teaching style and find the explanations to be clear, which helps them understand the concepts effectively.

  • pros

    Visuals and simple explanations: The instructor builds up concepts with visuals and simple explanations, making it easier for users to grasp the growing complexity of the topics presented.

  • cons

    Lack of accessibility for newcomers: Some users, especially those with limited programming experience and no formal educational training, find the videos to be technical and precise in a way that obstructs comprehension. They feel that the instructor could have used analogies and provided more relatable explanations.

  • cons

    Course structure and content organization: A few users feel that the course puts too much emphasis on theory before defining different algorithms and data structures. They suggest that the course should have started with a clearer introduction to the concepts and gradually introduced more complex topics. Additionally, some users mention that the course does not cover all the necessary notation and technical language, despite being advertised as suitable for Python beginners.

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

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faq FAQ for Data Structures Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 27606 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

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