The Coding Interview Bootcamp: Algorithms + Data Structures
The Coding Interview Bootcamp: Algorithms + Data Structures, available at $109.99, has an average rating of 4.81, with 141 lectures, 32 quizzes, based on 14781 reviews, and has 103173 subscribers.
You will learn about Master commonly asked interview questions Tackle common data structures used in web development Practice dozens of different challenges Use Javascript to solve challenging algorithms This course is ideal for individuals who are Anyone preparing for an interview that will involve coding challenges It is particularly useful for Anyone preparing for an interview that will involve coding challenges.
Enroll now: The Coding Interview Bootcamp: Algorithms + Data Structures
Summary
Title: The Coding Interview Bootcamp: Algorithms + Data Structures
Price: $109.99
Average Rating: 4.81
Number of Lectures: 141
Number of Quizzes: 32
Number of Published Lectures: 139
Number of Published Quizzes: 32
Number of Curriculum Items: 173
Number of Published Curriculum Objects: 171
Original Price: $79.99
Quality Status: approved
Status: Live
What You Will Learn
- Master commonly asked interview questions
- Tackle common data structures used in web development
- Practice dozens of different challenges
- Use Javascript to solve challenging algorithms
Who Should Attend
- Anyone preparing for an interview that will involve coding challenges
Target Audiences
- Anyone preparing for an interview that will involve coding challenges
Data Structures?They’re here. Algorithms? Covered. Lots of questions with well-explained solutions? Yep!
If you’re nervous about your first coding interview, or anxious about applying to your next job, this is the course for you. I got tired of interviewers asking tricky questions that can only be answered if you’ve seen the problem before, so I made this course! This video course will teach you the most common interview questions that you’ll see in a coding interview, giving you the tools you need to ace your next whiteboard interview.
Coding interviews are notoriously intimidating, but there is one method to become a better interviewer – and that is practice! Practicing dozens of interview questions is what makes the difference between a job offer for a $120k USD and another rejection email. This course is going to not only give you dozens of questions to practice on, but it will also make sure you understand the tricks behind solving each question, so you’ll be able to perform in a real interview.
I have spent many hours combing through interview questions asked at Google, Facebook, and Amazon to make sure you know how to answer questions asked by the most well-paying companies out there. No stone is left unturned, as we discuss everything from the simplest questions all the way to the most complex algorithm questions.
In this course, you’ll get:
- Clear, well-diagramed explanations for every single problem to make sure you understandthe solution
- An overview of the most important data structures to know about. These are presented for people withouta CS degree.
- A huge collection of common algorithm questions, including everything from ‘reversing a string’ to ‘determine the width of a BST’
- Sensible strategies for tackling systems design problems
- Insider tips on answering what interviewers area really looking for
- Constant support on the Udemy Q&A forums from me!
My goal in this course is to help you defeat those interviewers who ask nasty algorithm questions. Sign up today, and be the cutting edge engineer who will be prepared to get a high paying job
Course Curriculum
Chapter 1: Get Started Here!
Lecture 1: How to Get Help
Lecture 2: Course Resources
Lecture 3: Join Our Community!
Lecture 4: The All Important Coding Interview
Lecture 5: Getting Better at Coding Questions
Chapter 2: A Touch of Setup
Lecture 1: Don't Skip This Video!
Lecture 2: Installing Node.js, npm and Git + Prerequisite Info
Lecture 3: Environment Setup
Lecture 4: Using NPX to run Jest
Lecture 5: Repo Test Setup
Lecture 6: Link to Completed Exercises Repo
Chapter 3: String Reversal
Lecture 1: First Question! Reverse String.
Lecture 2: String Reversal, Solution #1
Lecture 3: String Reversal, Solution #2
Lecture 4: String Reversal, Solution #3
Lecture 5: Debugger Statements
Chapter 4: Palindromes
Lecture 1: Palindromes
Lecture 2: Palindromes, Solution #1
Lecture 3: Palindromes, Alternate Solution
Chapter 5: Integer Reversal
Lecture 1: Reversing an Int
Lecture 2: Reversing an Int Solution
Chapter 6: MaxChars
Lecture 1: Max Chars Problem
Lecture 2: Max Chars Character Map
Lecture 3: Max Chars Solution
Lecture 4: Max Chars Solution Continued
Chapter 7: The Classic FizzBuzz!
Lecture 1: FizzBuzz Problem Statement
Lecture 2: Solving FizzBuzz with Style
Chapter 8: Array Chunking
Lecture 1: Array Chunk Problem Statement
Lecture 2: Chunk Solution #1
Lecture 3: More on Chunk
Lecture 4: Chunk Solution #2
Lecture 5: Even More on Chunk!
Chapter 9: Anagrams
Lecture 1: What Are Anagrams?
Lecture 2: Solving Anagrams
Lecture 3: Another Way to Tackle Anagrams
Chapter 10: Sentence Capitalization
Lecture 1: Understanding Capitalization
Lecture 2: Capitalization Solution #1
Lecture 3: How Else Can We Capitalize?
Chapter 11: Printing Steps
Lecture 1: The Steps Question
Lecture 2: Steps Solution #1
Lecture 3: Steps Solution #1 Continued
Lecture 4: Step Up Your Steps Game
Lecture 5: More on Steps
Chapter 12: Two Sided Steps – Pyramids
Lecture 1: Pyramids Vs Steps
Lecture 2: Pyramid Solution #1
Lecture 3: Pyramid Solution #2
Chapter 13: Find The Vowels
Lecture 1: Get Your Vowels
Lecture 2: Finding Vowels
Lecture 3: Another Way to Find Vowels
Chapter 14: Enter the Matrix Spiral
Lecture 1: General Matrix Spirals
Lecture 2: Spiral Solution
Lecture 3: More on Spiral
Chapter 15: Runtime Complexity
Lecture 1: What is Runtime Complexity?
Lecture 2: Determining Complexity
Lecture 3: More on Runtime Complexity
Chapter 16: Runtime Complexity in Practice – Fibonacci
Lecture 1: The Fibonacci Series
Lecture 2: Fibonacci Series Iterative Solution
Lecture 3: Fibonacci Series Recursive Solution
Lecture 4: Memoi-….Mem-…Memoization!
Lecture 5: I Believe Its Memoization!
Chapter 17: The Queue
Lecture 1: What's a Data Structure?
Lecture 2: The Queue Data Structure
Lecture 3: Implementing a Queue
Chapter 18: Underwater Queue Weaving
Lecture 1: What's a Weave?
Lecture 2: How to Weave
Chapter 19: Stack 'Em Up With Stacks
Instructors
-
Stephen Grider
Engineering Architect
Rating Distribution
- 1 stars: 104 votes
- 2 stars: 145 votes
- 3 stars: 762 votes
- 4 stars: 3695 votes
- 5 stars: 10075 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!
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