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Stephen Grider

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.

Read more

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 understand the solution
  • An overview of the most important data structures to know about. These are presented for people without a 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

Enroll now

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What's inside

Learning objectives

  • Master commonly asked interview questions
  • Tackle common data structures used in web development
  • Practice dozens of different challenges
  • Use javascript to solve challenging algorithms

Syllabus

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How to Get Help
Course Resources
Join Our Community!
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The All Important Coding Interview
Getting Better at Coding Questions
A Touch of Setup
Don't Skip This Video!
Installing Node.js, npm and Git + Prerequisite Info
Environment Setup
Using NPX to run Jest
Repo Test Setup
Link to Completed Exercises Repo
String Reversal
First Question! Reverse String.
Coding Exercise - String Reversal
String Reversal, Solution #1
String Reversal, Solution #2
String Reversal, Solution #3
Debugger Statements
Palindromes
Coding Exercise - Palindromes
Palindromes, Solution #1
Palindromes, Alternate Solution
Integer Reversal
Reversing an Int
Coding Exercise - Integer Reversal
Reversing an Int Solution
MaxChars
Max Chars Problem
Max Chars Character Map
Coding Exercise - Max Chars
Max Chars Solution
Max Chars Solution Continued
The Classic FizzBuzz!
FizzBuzz Problem Statement
Coding Exercise - FizzBuzz
Solving FizzBuzz with Style
Array Chunking
Array Chunk Problem Statement
Coding Exercise - Array Chunk
Chunk Solution #1
More on Chunk
Chunk Solution #2
Even More on Chunk!
Anagrams
What Are Anagrams?
Coding Exercise - Anagrams
Solving Anagrams
Another Way to Tackle Anagrams
Sentence Capitalization
Understanding Capitalization
Coding Exercise - Capitalization
Capitalization Solution #1
How Else Can We Capitalize?
Printing Steps
The Steps Question
Coding Exercise - Steps
Steps Solution #1
Steps Solution #1 Continued
Step Up Your Steps Game
More on Steps
Two Sided Steps - Pyramids
Pyramids Vs Steps
Coding Exercise - Pyramids
Pyramid Solution #1
Pyramid Solution #2
Find The Vowels
Get Your Vowels
Coding Exercise - Finding Vowels
Finding Vowels
Another Way to Find Vowels
Enter the Matrix Spiral
General Matrix Spirals
Coding Exercise - Matrix Spiral
Spiral Solution
More on Spiral
Runtime Complexity
What is Runtime Complexity?
Determining Complexity
More on Runtime Complexity
Runtime Complexity in Practice - Fibonacci
The Fibonacci Series
Coding Exercise - Fibonacci Series
Fibonacci Series Iterative Solution
Fibonacci Series Recursive Solution
Memoi-....Mem-...Memoization!
I Believe Its Memoization!
The Queue
What's a Data Structure?
The Queue Data Structure
Coding Exercise - Queue
Implementing a Queue
Underwater Queue Weaving
What's a Weave?
Coding Exercise - Peek
Coding Exercise - Weave
How to Weave
Stack 'Em Up With Stacks

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops fluency with data structures and algorithms that are essential for coding and software engineering roles
Taught by Stephen Grider, a renowned instructor with a strong reputation for teaching coding and algorithms
Provides practice with dozens of common interview questions, equipping learners for the challenges of coding interviews
Helps learners develop a strong foundation in coding and algorithms, which are fundamental skills for software engineers
Employs JavaScript as the programming language, which is widely used in web development and other coding applications
Requires learners to have a basic understanding of programming concepts and JavaScript

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Reviews summary

Algorithm mastery approved

Learners say this course is well received with engaging assignments and a knowledgeable instructor. The content includes tips for solving various algorithmic problems.

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Coding Interview Bootcamp: Algorithms + Data Structures with these activities:
Review Data Structures and Algorithms
Revisiting and practicing data structures and algorithms reinforces your understanding of core concepts and prepares you for more advanced topics.
Browse courses on Data Structures
Show steps
  • Review lecture notes and textbooks on data structures and algorithms.
  • Solve practice problems and coding exercises.
  • Implement data structures and algorithms in your coding projects.
Learn about Time and Space Complexity
Understanding time and space complexity is essential for evaluating the efficiency of algorithms and making informed decisions when solving programming problems.
Show steps
  • Review resources on time and space complexity.
  • Practice analyzing the complexity of code snippets.
  • Incorporate complexity considerations into your own coding.
Code Snippet Challenges
Solving coding problems strengthens your understanding of algorithms and data structures and improves your ability to apply them in practical scenarios.
Browse courses on Algorithms
Show steps
  • Identify the problem statement and input/output format.
  • Break down the problem into smaller, manageable steps.
  • Implement your solution in JavaScript.
  • Test your solution against different input cases.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Participate in Mock Interviews
Engaging in mock interviews provides valuable practice in answering technical questions, presenting your solutions, and managing stress in a real-world interview setting.
Browse courses on Interview Preparation
Show steps
  • Find a partner or join a group for mock interviews.
  • Prepare questions and topics to cover.
  • Simulate the interview process, including both technical and behavioral questions.
  • Receive feedback and identify areas for improvement.
Write Technical Blog Posts
Writing technical blog posts helps you solidify your understanding of concepts, improve your communication skills, and establish yourself as a thought leader in the field.
Browse courses on Technical Writing
Show steps
  • Identify a topic that you are knowledgeable about and passionate about.
  • Research and gather information to support your topic.
  • Outline and structure your blog post.
  • Write and edit the content of your blog post.
  • Publish and promote your blog post.
Develop a Coding Project
Building a coding project allows you to apply the concepts you learn in the course, strengthen your problem-solving skills, and showcase your abilities to potential employers.
Browse courses on Full-stack Development
Show steps
  • Define the scope and purpose of your project.
  • Design and implement the architecture of your application.
  • Develop the core functionality of your project.
  • Implement user interface and front-end components.
  • Deploy your project and share it with others.
Explore Advanced Algorithm Design Techniques
Learning advanced algorithm design techniques expands your problem-solving toolkit and enables you to tackle more complex challenges in the real world.
Browse courses on Algorithm Design
Show steps
  • Study resources on advanced algorithm design techniques.
  • Apply these techniques to solve challenging coding problems.
  • Analyze the performance and efficiency of your solutions.

Career center

Learners who complete The Coding Interview Bootcamp: Algorithms + Data Structures will develop knowledge and skills that may be useful to these careers:
Software Engineer
Software Engineers lead the development and maintenance of software and computer systems. This course can help you land a role as a Software Engineer because you will learn the algorithms and data structures that are commonly used in software development. The course will also help you improve your programming skills and your ability to solve coding problems. If you are interested in becoming a Software Engineer, I highly recommend taking this course.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. This course can help you become a Machine Learning Engineer because you will learn the algorithms and data structures that are commonly used in machine learning. The course will also help you improve your programming skills and your ability to solve coding problems. If you are interested in becoming a Machine Learning Engineer, I highly recommend taking this course.
Data Scientist
Data Scientists use their knowledge of algorithms and data structures to analyze data and extract insights. This course can help you become a Data Scientist because you will learn the algorithms and data structures that are commonly used in data science. The course will also help you improve your programming skills and your ability to solve coding problems. If you are interested in becoming a Data Scientist, I highly recommend taking this course.
Database Engineer
Database Engineers design and develop databases. This course can help you become a Database Engineer because you will learn the algorithms and data structures that are commonly used in database engineering. The course will also help you improve your programming skills and your ability to solve coding problems. If you are interested in becoming a Database Engineer, I highly recommend taking this course.
Web Developer
Web Developers design and develop websites and web applications. This course can help you become a Web Developer because you will learn the algorithms and data structures that are commonly used in web development. The course will also help you improve your programming skills and your ability to solve coding problems. If you are interested in becoming a Web Developer, I highly recommend taking this course.
Software Architect
Software Architects design and develop software systems. This course can help you become a Software Architect because you will learn the algorithms and data structures that are commonly used in software architecture. The course will also help you improve your programming skills and your ability to solve coding problems. If you are interested in becoming a Software Architect, I highly recommend taking this course.
Systems Engineer
Systems Engineers design and develop computer systems and networks. This course can help you become a Systems Engineer because you will learn the algorithms and data structures that are commonly used in systems engineering. The course will also help you improve your programming skills and your ability to solve coding problems. If you are interested in becoming a Systems Engineer, I highly recommend taking this course.
Computer Programmer
Computer Programmers write code that implements algorithms and data structures. This course can help you become a Computer Programmer because you will learn the algorithms and data structures that are commonly used in software development. The course will also help you improve your programming skills and your ability to solve coding problems. If you are interested in becoming a Computer Programmer, I highly recommend taking this course.
Information Technology Manager
Information Technology Managers plan and direct the implementation and maintenance of computer systems and networks. This course can help you become an Information Technology Manager because you will learn the algorithms and data structures that are commonly used in information technology management. The course will also help you improve your programming skills and your ability to solve coding problems. If you are interested in becoming an Information Technology Manager, I highly recommend taking this course.
Computer Science Teacher
Computer Science Teachers teach computer science principles and concepts to students. This course can help you become a Computer Science Teacher because you will learn the algorithms and data structures that are commonly taught in computer science classes. The course will also help you improve your programming skills and your ability to solve coding problems. If you are interested in becoming a Computer Science Teacher, I highly recommend taking this course.
Game Developer
Game Developers design and develop video games. This course can help you become a Game Developer because you will learn the algorithms and data structures that are commonly used in game development. The course will also help you improve your programming skills and your ability to solve coding problems. If you are interested in becoming a Game Developer, I highly recommend taking this course.
Quality Assurance Tester
Quality Assurance Testers test software and computer systems to identify and fix bugs. This course may be useful for Quality Assurance Testers because it will help you improve your programming skills and your ability to solve coding problems. The course will also help you understand the algorithms and data structures that are commonly used in software development.
User Experience Designer
User Experience Designers design and develop the user interface and user experience of websites and apps. This course may be useful for User Experience Designers because it will help you improve your programming skills and your ability to solve coding problems. The course will also help you understand the algorithms and data structures that are commonly used in web development.
Technical Writer
Technical Writers write and edit technical documentation. This course may be useful for Technical Writers because it will help you improve your writing skills and your ability to explain technical concepts. The course will also help you understand the algorithms and data structures that are commonly used in software development.
Business Analyst
Business Analysts analyze business needs and develop solutions to meet those needs. This course may be useful for Business Analysts because it will help you improve your problem-solving skills and your ability to think critically. The course will also help you understand the algorithms and data structures that are commonly used in business analysis.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in The Coding Interview Bootcamp: Algorithms + Data Structures.
A comprehensive and practical guide to algorithm design, this book provides a deep dive into the techniques and strategies used to develop efficient algorithms. It useful supplement for those who want to develop a deeper understanding of algorithm design.
While not focused exclusively on algorithms and datastructures, this book provides a comprehensive set of general purpose interview questions for software development. It useful supplement to this course, providing breadth in its treatment of interviewing.
A book specifically tailored to coding interviews, this book provides a collection of常見 interview questions and solutions. It useful supplement for those who want to focus specifically on the types of questions they may encounter in an interview.
A Python-focused textbook on data structures and algorithms, tailored to those with limited programming experience. It provides a good overview of algorithms and their use in software development for beginners.
A Javascript-focused book that shares the same focus as this course on algorithms and data structures. It useful supplement for those seeking examples written in JavaScript.
A comprehensive textbook on data structures and algorithms using JavaScript examples. It provides a good overview of algorithms and their use in software development.
A highly visual and intuitive guide to algorithms, this book makes complex concepts approachable. It useful supplement for those who prefer a less formal and more engaging approach.
A Python-focused textbook on data structures and algorithms, similar to its JavaScript counterpart. It provides a good overview of algorithms and their use in software development.
A Java-focused textbook on data structures and algorithms, similar to its JavaScript and Python counterparts. It provides a good overview of algorithms and their use in software development.
A concise but opinionated guide to JavaScript. While not specifically focused on algorithms and data structures, it provides valuable insights into the language's strengths and weaknesses, making it useful background knowledge for those new to JavaScript.
The classic algorithms textbook, this book goes into in-depth detail on algorithms and datastructures, but from a more theoretical perspective. It is not as useful as a reference or guide for interview preparation, but it is an excellent supplemental text for those interested in the underlying theory.
A C++-focused version of the classic textbook, this book shares the same focus on theory as its Java counterpart. It is not as useful as a reference or guide for interview preparation, but it is an excellent supplemental text for those interested in the underlying theory.
While not specifically focused on algorithms and data structures, this book provides a detailed introduction to the JavaScript programming language itself. For those with limited programming experience, this book can provide valuable background knowledge.
Another classic algorithms textbook, with a focus on Java examples. Like Introduction to Algorithms, its focus on theory makes it more of a supplemental text than a reference or primary resource for interview preparation.

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