Data Structure and Algorithms - For Big Tech Interviews

3.9

Learners: 66,492

Instructor: Dr. Hussein Alrubaye

Duration:

This course is perfect for anyone looking to ace their next software engineering interview. It is based on the real-life experiences of the instructor, who has interviewed with Google, Microsoft, Amazon, and Snapchat. You will learn how to analyze algorithms such as sorting, searching, and graph algorithms, as well as how to reduce code complexity and apply the correct data structure to your problem in Java. You will also learn how to analyze problems using dynamic programming. By the end of the course, you will be able to write code that runs faster and uses less memory. Sign up now and get ready to ace your next software engineering interview! ▼▲

Course Feature Course Overview Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2022-01-11

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:
By taking this course, you will acquire skills and knowledge in analyzing algorithms such as sorting, searching, and graph algorithms, as well as reducing code complexity from one Big-O level to another. You will also learn different types of data structures and how to find Big-O for each data structure, as well as how to apply the correct data structure to a problem in Java. Additionally, you will learn how to analyze problems using dynamic programming and discuss code complexity in different algorithms such as sorting algorithms, searching algorithms, and graph algorithms. Finally, you will gain an understanding of data structures such as dynamic arrays, linked lists, stacks, queues, and hash tables.
Professional Growth:
This course provides an opportunity for professional growth by teaching the fundamentals of data structures and algorithms. It covers topics such as sorting, searching, graph algorithms, code complexity, dynamic programming, and data structures such as dynamic arrays, linked lists, stacks, queues, and hash tables. By the end of the course, students will have the knowledge and skills to write code that runs faster and uses less memory, as well as the ability to analyze problems using dynamic programming. This course also provides real interview questions to help students prepare for software engineering interviews.
Further Education:
This course is suitable for preparing further education as it covers a wide range of topics related to data structures and algorithms. It provides an in-depth look at sorting, searching, and graph algorithms, as well as data structures such as dynamic arrays, linked lists, stacks, queues, and hash tables. Additionally, the course covers code complexity in different algorithms and provides real interview questions to help students prepare for software engineering interviews.