100 Leetcode Challenge - Coding Interview from Udemy

This course is for all those people who want to learn the basics of data structure and algorithms from the absolute beginner to the Intermediate level. We will use many examples to make the lectures very easy to understand and digest.

You don't really need to have prior knowledge of Data Structure or Algorithm, but a basic prior knowledge of any programming language will be helpful.

After going through these 100 Leetcode questions, you will get your foot wet and start trying some "Medium" questions soon. The purpose of this course is to learn fast and give you the confidence to start working on Leetcode questions.

Most of these LC questions are EASY level or MEDIUM level with a quick solution. You can get the most out of it by following along. Because Medium question is like few Easy questions combined together. A Hard question is a combination of a few Medium questions. In the future, I will try to make a Medium level of Leetcode for all of you.

If you have any questions, please feel free to comment it below. I will get back to you as soon as possible.

If you have any suggestions on me improving the videos and contents, please also let me know, so that I can make better videos in the future. I hope you have a wonderful learning experience here.

What's inside

Learning objectives

Computer science
Leetcode
Algorithm

Data structure
Technical interview
Coding interveiw

Computer science
Leetcode
Algorithm
Data structure
Technical interview
Coding interveiw

Syllabus

Introduction

This is an introduction of the course

Code with me - First 100 Questions

Symmetric Tree

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a practical approach to learning data structures and algorithms through solving LeetCode problems, which is a common method for interview preparation

Focuses on 'Easy' to 'Medium' level LeetCode questions, which allows learners to build confidence and gradually tackle more complex problems

Assumes basic programming knowledge, which allows learners to focus on data structures and algorithms without getting bogged down in syntax

Covers a wide range of fundamental data structures and algorithms, including linked lists, binary trees, and array manipulation, which are essential for coding interviews

Includes a 'Super hard question,' which may be discouraging to beginners, but can serve as a challenge for more advanced learners

Encourages learners to follow along with the coding examples, which promotes active learning and reinforces understanding of the concepts

Reviews summary

Leetcode challenge for coding interviews

According to learners, this course provides a solid introduction to solving LeetCode problems, particularly focusing on easy and some medium difficulty questions. Many find it a helpful starting point for coding interview preparation, offering practical, step-by-step solutions. Some students note that the explanations are concise and focus directly on the code, which works well for getting through many problems quickly. However, a few mention that the course may lack depth on the underlying theoretical concepts or advanced techniques, suggesting it's best suited for beginners or those looking for a broad overview rather than a deep dive.

Primarily Easy, some Medium problems.

"Okay course, but it only covers easy and some medium problems. If you're looking for advanced techniques or hard problems, this isn't it."

"The first 100 easy/medium problems are a great starting point."

"Most of these LC questions are EASY level or MEDIUM level with a quick solution."

Focuses on practical, direct solutions.

"Instructor explained everything clearly and walked through solutions step-by-step."

"I learned quite a few approaches on how to solve a problem with different algorithms. Definitely recommended."

"The step-by-step solutions are very helpful for understanding how to approach these problems."

Effective for beginners on easy problems.

"This course gives a very good introduction to Leetcode questions especially easy questions. I've never been so excited doing Leetcode in my life."

"Great course for beginners, who want to practice coding questions and learn about data structures and algorithms."

"Excellent for learning data structures and algorithms through practical LeetCode problems... Highly recommend for interview prep."

"Fantastic course for beginners! I had some basic programming knowledge but no DS/Algo background. This course made LeetCode approachable."

Explanations sometimes too brief or code-focused.

"Some explanations could be a bit more detailed, especially for edge cases."

"Very disappointed. The instructor rushes through solutions and doesn't explain the 'why' behind the optimal approach. Just shows the code."

"While it covers many problems, the theoretical background for some data structures/algorithms is limited."

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 100 Leetcode Challenge - Coding Interview with these activities:

Review Data Structures and Algorithms Fundamentals

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Strengthen your understanding of fundamental data structures and algorithms concepts before diving into LeetCode problems. This will make it easier to understand the solutions and apply them effectively.

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Review basic data structures like arrays, linked lists, stacks, and queues.
Study fundamental algorithms like searching and sorting.
Practice implementing these data structures and algorithms in your preferred language.

Review 'Cracking the Coding Interview'

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Supplement your learning with 'Cracking the Coding Interview' to gain a broader perspective on interview preparation and problem-solving techniques. This book provides valuable insights and strategies for tackling coding challenges.

View Cracking the Coding Interview: 189 Programming... on Amazon

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Read the chapters on data structures and algorithms relevant to the course.
Practice solving the interview questions provided in the book.
Review the solutions and explanations to understand the underlying concepts.

Practice Easy LeetCode Problems

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Reinforce your understanding of the concepts covered in the course by solving additional easy-level LeetCode problems. This will help you build confidence and improve your problem-solving skills.

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Identify easy-level LeetCode problems related to the topics covered in the current week's lectures.
Attempt to solve the problems independently before looking at the solutions.
Analyze the solutions and understand the underlying logic.
Implement the solutions in your preferred programming language.

Four other activities

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Participate in Peer Coding Sessions

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Collaborate with peers to solve LeetCode problems and discuss different approaches. This will expose you to new perspectives and improve your communication skills.

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Form a study group with other students in the course.
Choose a set of LeetCode problems to work on together.
Discuss different approaches to solving the problems.
Code the solutions collaboratively and review each other's code.

Implement a Data Structure Library

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Solidify your understanding of data structures by implementing your own library. This hands-on project will deepen your knowledge and improve your coding skills.

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Choose a set of data structures to implement (e.g., linked list, stack, queue, binary tree).
Design the interfaces and classes for each data structure.
Implement the methods for each data structure, including insertion, deletion, searching, and traversal.
Write unit tests to ensure the correctness of your implementation.

Create a Video Explaining a LeetCode Solution

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Deepen your understanding of a specific LeetCode problem by creating a video explaining the solution. This will force you to articulate your thought process and identify any gaps in your knowledge.

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Choose a LeetCode problem that you understand well.
Prepare a script or outline for your video.
Record a video explaining the problem, the solution, and the underlying logic.
Edit the video and add annotations or visuals to enhance clarity.
Share the video with your peers and solicit feedback.

Review 'Introduction to Algorithms'

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Enhance your understanding of algorithms with 'Introduction to Algorithms' for a more in-depth and theoretical perspective. This book provides a solid foundation for advanced problem-solving and algorithm design.

View Introduction to Algorithms, fourth edition on Amazon

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Read the chapters on algorithms covered in the course.
Work through the examples and exercises provided in the book.
Understand the theoretical underpinnings of the algorithms.

Career center

Learners who complete 100 Leetcode Challenge - Coding Interview will develop knowledge and skills that may be useful to these careers:

Software Engineer

A software engineer designs, develops, and tests software applications. This course helps build a foundation in data structures and algorithms, which are crucial for writing efficient and optimized code. Software engineers often encounter problems that require algorithmic thinking and knowledge of data structures to solve effectively. The course's focus on Leetcode questions, especially the medium-level ones, provides practical experience in applying these concepts to real-world problems. Someone pursuing a role as software engineer should consider this course.

See salaries and explore the career path for Software Engineer

Algorithm Engineer

An algorithm engineer designs and implements algorithms for various applications, such as search engines, recommendation systems, and artificial intelligence. This course helps build a strong foundation in data structures and algorithms, which are the core building blocks of this field. The course's focus on Leetcode helps develop problem-solving skills and provides exposure to a wide range of algorithmic challenges. The training from the course is invaluable to someone aspiring to work as an algorithm engineer.

See salaries and explore the career path for Algorithm Engineer

Full-Stack Developer

A full stack developer works on both the frontend and backend of web applications. As such, they require a broad understanding of various technologies, including data structures and algorithms. This course builds a strong understanding of data structures and algorithms, enabling them to write efficient and optimized code for both the client-side and server-side. A full stack developer will benefit by understanding the course material so as to better approach full stack development.

See salaries and explore the career path for Full-Stack Developer

Backend Developer

A backend developer works on the server-side logic and databases that power web applications. This course enhances understanding of data structures and algorithms, which are critical for optimizing database queries, handling large amounts of data, and ensuring efficient server performance. The course's emphasis on Leetcode provides opportunities to practice applying these concepts in a practical setting. Knowledge from this course is of great benefit to a backend developer.

See salaries and explore the career path for Backend Developer

Game Developer

A game developer designs and develops video games. Game development often involves complex algorithms for physics simulations, artificial intelligence, and rendering. This course helps build a foundation in data structures and algorithms, which are essential for optimizing game performance and creating engaging gameplay experiences. The problem-solving skills acquired through working with Leetcode problems is useful for a career as game developer.

See salaries and explore the career path for Game Developer

Mobile Application Developer

A mobile application developer creates applications for mobile devices. Mobile applications often need to be highly optimized for performance due to the limited resources of mobile devices. This course helps build a foundation of fundamental algorithms which leads to efficient coding and data management. The course's focus on Leetcode problems provides a practical perspective, since mobile development is often performance oriented.

See salaries and explore the career path for Mobile Application Developer

Machine Learning Engineer

A machine learning engineer develops and deploys machine learning models. While machine learning relies heavily on statistical and mathematical concepts, a strong foundation in data structures and algorithms is essential for optimizing model performance and handling large datasets. This course helps build this foundation, allowing you to implement machine learning algorithms more efficiently and effectively. Aspiring machine learning engineers could benefit from the exposure to Leetcode problems that this course provides.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

A data engineer designs, builds, and maintains data pipelines and infrastructure for data storage and processing. This role benefits from a solid understanding of data structures and algorithms for efficient data manipulation, transformation, and storage. This course helps build this foundation, enabling data engineers to optimize data pipelines and ensure data quality. The training from Leetcode problems is a great introduction for someone wanting to become a data engineer.

See salaries and explore the career path for Data Engineer

Data Scientist

A data scientist analyzes large datasets to extract meaningful insights and develop predictive models. While data science involves statistical analysis and machine learning, a solid understanding of data structures and algorithms is essential for efficient data manipulation and model implementation. This course may be useful because it covers fundamental concepts that underpin many data science techniques, allowing you to optimize your code and improve the performance of your models. This training on Leetcode problems sets a foundation for a data scientist.

See salaries and explore the career path for Data Scientist

Frontend Developer

A frontend developer implements the user interface and user experience of web applications. While frontend development often focuses on HTML, CSS, and JavaScript, understanding data structures and algorithms can help optimize the performance of web applications and create more efficient user interfaces. This course may be useful, as knowledge of algorithms improves a frontend developer's ability to write performant code for complex interactions. The course's exploration of Leetcode problems provides a foundation to further your career as a frontend developer.

See salaries and explore the career path for Frontend Developer

Software Architect

A software architect designs the overall structure and architecture of software systems. This role typically requires extensive experience and a deep understanding of various technologies, including data structures and algorithms. While a software architect may not be directly involved in coding, they need to understand the performance implications of different algorithmic choices. This course may be useful as it provides a refresher on fundamental concepts. The problem-solving skills acquired from Leetcode can be useful in architectural design decisions.

See salaries and explore the career path for Software Architect

Systems Engineer

A systems engineer designs, implements, and manages computer systems and networks. While systems engineering involves a broad range of responsibilities, understanding data structures and algorithms can help optimize system performance and resource utilization. The course may be useful in assisting with problem-solving; and it provides a basic understanding of algorithmic complexity. Because you will want to maximize efficiency in a system, you should consider this course.

See salaries and explore the career path for Systems Engineer

Quality Assurance Engineer

A quality assurance engineer tests software to ensure its quality and functionality. While QA engineers may not directly write code, understanding data structures and algorithms can help them design more comprehensive and effective test cases. This course may be useful as it provides a deeper understanding of how software works, enabling them to identify potential bugs and performance issues more effectively. QA engineers who have the skills and training from the course would be well prepared for success.

See salaries and explore the career path for Quality Assurance Engineer

DevOps Engineer

A DevOps engineer automates and streamlines the software development and deployment process. While DevOps primarily focuses on infrastructure and automation, a working knowledge of data structures and algorithms can help optimize the performance of applications and infrastructure. The course may be useful because it increases familiarity with code optimization and provides a better understanding of codebase design. For this reason, a junior DevOps engineer may find the course of value.

See salaries and explore the career path for DevOps Engineer

Technical Program Manager

A technical program manager oversees complex technical projects and ensures their successful completion. While this role is primarily managerial, a technical program manager needs to have a solid understanding of the underlying technologies involved in the project. This course may be useful because it exposes a program manager to the logic of coding, which provides a framework for managing engineers and estimating tasks. This may be of value to someone who does not have a software background.

See salaries and explore the career path for Technical Program Manager

100 Leetcode Challenge - Coding Interview

What's inside

Learning objectives

Syllabus

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Reviews summary

Leetcode challenge for coding interviews

Activities

Career center

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