Master the Coding Interview- Data Structures + Algorithms

Master the Coding Interview: Data Structures + Algorithms, available at $119.99, has an average rating of 4.69, with 264 lectures, 2 quizzes, based on 36399 reviews, and has 225060 subscribers.

You will learn about Ace coding interviews given by some of the top tech companies Become more confident and prepared for your next coding interview Learn, implement, and use different Data Structures Learn, implement and use different Algorithms Get more interviews Professionally handle offers and negotiate raises Become a better developer by mastering computer science fundamentals Github code provided in: JavaScript, Python, Java, C/C++, C#, Golang, Swift, Kotlin, TypeScript, Scala, Rust, Perl, PHP This course is ideal for individuals who are Any engineer, developer, programmer, who wants to improve their interviewing skills or Anyone interested in improving their whiteboard coding skills or Anyone who wants to become a better developer or Any self taught programmer who missed out on a computer science degree It is particularly useful for Any engineer, developer, programmer, who wants to improve their interviewing skills or Anyone interested in improving their whiteboard coding skills or Anyone who wants to become a better developer or Any self taught programmer who missed out on a computer science degree.

Enroll now: Master the Coding Interview: Data Structures + Algorithms

Summary

Title: Master the Coding Interview: Data Structures + Algorithms

Price: $119.99

Average Rating: 4.69

Number of Lectures: 264

Number of Quizzes: 2

Number of Published Lectures: 264

Number of Published Quizzes: 2

Number of Curriculum Items: 266

Number of Published Curriculum Objects: 266

Original Price: $174.99

Quality Status: approved

Status: Live

What You Will Learn

Ace coding interviews given by some of the top tech companies

Become more confident and prepared for your next coding interview

Learn, implement, and use different Data Structures

Learn, implement and use different Algorithms

Get more interviews

Professionally handle offers and negotiate raises

Become a better developer by mastering computer science fundamentals

Github code provided in: JavaScript, Python, Java, C/C++, C#, Golang, Swift, Kotlin, TypeScript, Scala, Rust, Perl, PHP

Who Should Attend

Any engineer, developer, programmer, who wants to improve their interviewing skills

Anyone interested in improving their whiteboard coding skills

Anyone who wants to become a better developer

Any self taught programmer who missed out on a computer science degree

Target Audiences

Any engineer, developer, programmer, who wants to improve their interviewing skills

Anyone interested in improving their whiteboard coding skills

Anyone who wants to become a better developer

Any self taught programmer who missed out on a computer science degree

Updated for the 2023 hiring season! Join a live online community of over 900,000+ developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto as a senior developer. Graduates of this course are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Meta + other top tech companies.

Want to land a job at a great tech company like Google, Microsoft, Meta, Netflix, Amazon, or other companies but you are intimidated by the interview process and the coding questions? Do you find yourself feeling like you get “stuck” every time you get asked a coding question? This course is your answer. Using the strategies, lessons, and exercises in this course, you will learn how to land offers from all sorts of companies.

Many developers who are “self taught”, feel that one of the main disadvantages they face compared to college educated graduates in computer science is the fact that they don’t have knowledge about algorithms, data structures and the notorious Big-O Notation. Get on the same level as someone with computer science degree by learning the fundamental building blocks of computer science which will give you a big boost during interviews. You will also get access to our private online chat community with thousands of developers online to help you get through the course.

Here is what you will learn in this course:

Technical:

1. Big O notation

2. Data structures:

* Arrays
* Hash Tables
* Singly Linked Lists
* Doubly Linked Lists
* Queues
* Stacks
* Trees (BST, AVL Trees, Red Black Trees, Binary Heaps)
* Tries
* Graphs

3. Algorithms:

* Recursion
* Sorting
* Searching
* Tree Traversal
* Breadth First Search
* Depth First Search
* Dynamic Programming

Non Technical:

– How to get more interviews
– What to do during interviews
– What do do after the interview
– How to answer interview questions
– How to handle offers
– How to negotiate your salary
– How to get a raise

Unlike most instructors, I am not a marketer or a salesperson. I am a senior developer and programmer who has worked and managed teams of engineers and have been in these interviews both as an interviewee as well as the interviewer.

My job as an instructor will be successful if I am able to help you become better at interviewing and land more jobs. This one skill can really change the course of your career and I hope you sign up today to see what it can do for your career!

Taught by:

Andrei is the instructor of the highest rated Web Development course on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, JP Morgan, IBM, etc He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. 

Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don’t know where to start when learning a complex subject matter, or even worse, most people don’t have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student’s valuable time.   Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. 

Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. 

Taking his experience in educational psychology and coding, Andrei’s courses will take you on an understanding of complex subjects that you never thought would be possible.  

See you inside the courses!

Course Curriculum

Chapter 1: Introduction

Lecture 1: How To Succeed In This Course

Lecture 2: Join Our Online Classroom!

Lecture 3: Exercise: Meet Your Classmates & Instructor

Lecture 4: ZTM Resources

Lecture 5: Monthly Coding Challenges, Free Resources and Guides

Chapter 2: Getting More Interviews

Lecture 1: Section Overview

Lecture 2: Resume

Lecture 3: Exercise: Resume Walkthrough

Lecture 4: Resume Review

Lecture 5: Resources: Resume Templates

Lecture 6: What If I Dont Have Enough Experience?

Lecture 7: Optional Exercise: Github Master

Lecture 8: Optional: Exercise: Github README

Lecture 9: LinkedIn

Lecture 10: Optional Exercise: LinkedIn Endorsements

Lecture 11: Portfolio

Lecture 12: Resources: Free Portfolio Templates

Lecture 13: Email

Lecture 14: Resources: Email

Lecture 15: Where To Find Jobs?

Lecture 16: Resources: Where To Find Jobs?

Lecture 17: When Should You Start Applying?

Lecture 18: Section Summary

Lecture 19: Monthly Industry Updates

Chapter 3: Big O

Lecture 1: Python, Java, C/C++, C#, Go, Swift, Kotlin, TypeScript, Scala, Perl, Rust, PHP

Lecture 2: Setting Up Your Environment

Lecture 3: Section Overview

Lecture 4: Big O Cheatsheet

Lecture 5: IMPORTANT: Repl Code

Lecture 6: What Is Good Code?

Lecture 7: Big O and Scalability

Lecture 8: O(n)

Lecture 9: O(1)

Lecture 10: Exercise: Big O Calculation

Lecture 11: Solution: Big O Calculation

Lecture 12: Exercise: Big O Calculation 2

Lecture 13: Solution: Big O Calculation 2

Lecture 14: Simplifying Big O

Lecture 15: Big O Rule 1

Lecture 16: Big O Rule 2

Lecture 17: Big O Rule 3

Lecture 18: O(n^2)

Lecture 19: Big O Rule 4

Lecture 20: Big O Cheat Sheet

Lecture 21: What Does This All Mean?

Lecture 22: O(n!)

Lecture 23: 3 Pillars Of Programming

Lecture 24: Space Complexity

Lecture 25: Exercise: Space Complexity

Lecture 26: Exercise: Twitter

Lecture 27: Optional: Javascript Loops

Lecture 28: Section Summary

Chapter 4: How To Solve Coding Problems

Lecture 1: Section Overview

Lecture 2: What Are Companies Looking For?

Lecture 3: What We Need For Coding Interviews

Lecture 4: Exercise: Google Interview

Lecture 5: Exercise: Interview Question

Lecture 6: Exercise: Interview Question 2

Lecture 7: Review Google Interview

Lecture 8: Optional Exercise: Google Interview On Your Own

Lecture 9: Section Summary

Chapter 5: Data Structures: Introduction

Lecture 1: Section Overview

Lecture 2: What Is A Data Structure?

Lecture 3: How Computers Store Data

Lecture 4: Data Structures In Different Languages

Lecture 5: Operations On Data Structures

Chapter 6: Data Structures: Arrays

Lecture 1: Arrays Introduction

Lecture 2: Static vs Dynamic Arrays

Lecture 3: Quick Note: Upcoming Video

Lecture 4: Optional: Classes In Javascript

Lecture 5: Implementing An Array

Lecture 6: Strings and Arrays

Lecture 7: Exercise: Reverse A String

Lecture 8: Solution: Reverse A String

Lecture 9: Exercise: Merge Sorted Arrays

Lecture 10: Solution: Merge Sorted Arrays

Lecture 11: Interview Questions: Arrays

Lecture 12: Arrays Review

Chapter 7: Data Structures: Hash Tables

Lecture 1: Hash Tables Introduction

Lecture 2: Hash Function

Lecture 3: Hash Collisions

Lecture 4: Hash Tables In Different Languages

Lecture 5: Exercise: Implement A Hash Table

Lecture 6: Solution: Implement A Hash Table

Lecture 7: keys()

Lecture 8: Extra: keys() Without Collision

Lecture 9: Hash Tables VS Arrays

Lecture 10: Exercise: First Recurring Character

Lecture 11: Solution: First Recurring Character

Lecture 12: Interesting Tidbit: Python Dictionaries

Lecture 13: Hash Tables Review

Chapter 8: Data Structures: Linked Lists

Lecture 1: Linked Lists Introduction

Instructors

Andrei Neagoie
Founder of zerotomastery.io

Rating Distribution

1 stars: 241 votes

2 stars: 311 votes

3 stars: 1744 votes

4 stars: 9764 votes

5 stars: 24339 votes

Frequently Asked Questions

How long do I have access to the course materials?

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

Can I take my courses with me wherever I go?

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!