50 days of LeetCode in GO: Algorithms Coding Interview from Udemy

Want to master popular problem-solving techniques, data structures, and algorithms that interviewers love? Dive right in.
Crave step-by-step explanations for the industry's hottest interview questions? We've got you covered.
Looking to up your game in competitive programming? Buckle up for a thrilling journey.

Welcome to the course.

In this course, you'll have a detailed, step by step explanation of hand-picked LeetCode questions where you'll learn about the most popular techniques and problems used in the coding interview, This is the course I wish I had when I was doing my interviews. and it comes with a 30-day money-back guarantee

What is LeetCode?

LeetCode is essentially a huge repository of real interview questions asked by the most popular tech companies ( Google, Amazon, Facebook, Microsoft, and more ).

The problem with LeetCode is also its advantage, IT'S HUGE, so huge in fact that interviewers from the most popular companies often directly ask questions they find on LeetCode, So it's hard to navigate through the huge amount of problems to find those that really matter, this is what this course is for.I spent countless hours on LeetCode and I'm telling you that you don't have to do the same and still be able to get a job at a major tech company.Course overview :

In this course, I compiled the most important and the most popular interview questions asked by these major companies and I explain them, in a true

The problems are handpicked to ensure complete coverage of the most popular techniques, data structures, and algorithms used in interviews so you can generalise the patterns you learn here on other problems.

Each problem gets multiple videos :

Explanation and intuition video(s): we do a detailed explanation of the problems and its solution, this video will be longer because we will do a step by step explanation for the problems.
Coding video(s): where we code the solution discussed in the explanation video together.
Walkthrough video(s): where we go over each line of code and see what it does

We will use basic GO for this course to code our solutions, previous knowledge in GO is preferred but NOT required for the coding part of the course.

The problems are categorised for easier navigation and will be regularly updated with more popular and interesting problems.

Some of the stuff this course will cover are :

Arrays and Strings interview questions.
Searching interview questions and algorithms.
Dynamic Programming interview questions.
Backtracking interview questions ( With step by step visualisation ).
Trees and Graphs interview questions and algorithms.
Data structures Like Stacks, Queues, Maps, Linked Lists, and more.

In other words, this course is your one-stop-shop for your dream job.

What's inside

Learning objectives

Solve easy to hard difficulty problems using different data structures and algorithms
How to solve some of the most popular interview questions asked by major tech companies
Breaking down the coding interview problems in a step by step, systematic manner

Popular problems patterns
Strengthen your problem solving and programming skills

Solve easy to hard difficulty problems using different data structures and algorithms
How to solve some of the most popular interview questions asked by major tech companies
Breaking down the coding interview problems in a step by step, systematic manner
Popular problems patterns
Strengthen your problem solving and programming skills

Syllabus

Introduction

What to do if you don't understand an explanation or code video (Important)

Utilise the video format of online courses

Microsoft Array Question: Container with most water (Medium)

Introduction to the problem

Pseudocode walkthrough part 1

Brute force solution

pseudocode walkthrough

Better Approach intuition

Approach 2 Pseudocode walkthrough

Implementing the code

Google Array Question: Valid mountain array (Easy)

How to think about this problem

Pseudocode Walkthrough

Pseudocode walkthrough part 2

Google Array Question: Boats to save people (Medium)

Problem Introduction

How to intuitively think about this problem

Facebook Array Question: Move Zeroes (Easy)

Brute force Intuition

Brute force pseudocode walkthrough

Better Approach Intuition

Better Approach Pseudocode walkthrough

Google Array question: first bad version (Easy)

Amazon Array Question: Longest substring without repeating characters (Medium)

Implementing the optimal approach

Brute Force Intuition

Pseudocode walkthrough

Approach 2 Intuition

Approach 2 pseudocode walkthrough

Arrays Question:Find first and last position of element in sorted Array (Medium)

Introduction to the problem and brute force approach

Brute force Pseudocode walkthrough

Approach 2: Optimal Approach intuition

Introduction To The Problem And Brute Force Approach

Optimal Solution Intuition

Optimal solution pseudocode walkthrough

Amazon Math Question: Count Primes

Microsoft Math Question: Missing Number (Easy-ish)

Approach 1: Brute Force Approach

Approach 2: A Better Approach Explanation

PseudoCode Walkthrough For Approach 2

Approach 3: Optimal Approach

Problem Introduction And Brute Force Explanation

Pseudocode Walkthrough For Brute Force Approach

Approach 2: Optimal solution

Pseudocode Walkthrough For Optimal Approach

Code Implementation

Airbnb Math Question: Single Number

Pseudocode walkthrough for brute approach

Approach 2: better Approach

Approach 3: optimal approach

Amazon Math Question: Robot return to origin (Easy)

Explaining the problem

Facebook Math Question: Add Binary (Easy)

Examples of binary additions

Pseudocode Implementation

Google Hash Tables / Dictionaries question: Two Sum (Easy)

Approach 1: Introduction to the problem and brute force approach

Brute force Pseudocode Implementation

Approach 2: Optimal Approach Explanation

Google Hash Tables / Dictionaries question: Contains Duplicate

Introduction to the problem and multiple approaches

Optimal Approach

Google Hash Tables / Dictionaries question: Majority Element

Approach 1 Intuition

Approach 1 Pseudocode Walkthrough

Approach 2 - Majority Element Intuition

Implementing Approach 2 code

Approach 3 Intuition - Optimal solution

Approach 3 Walkthrough - Optimal solution

Implementing Approach 3 (optimal approach)

Hash Tables / Dictionaries question: 4sum 2 (Medium)

Brute force Explanation

Brute Force Pseudocode Walkthrough

Approach 2: Optimal approach

Linkedin Hash Tables / Dictionaries question: Minimum Window Substring (Hard)

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Focuses on LeetCode questions, which are frequently used by major tech companies during their technical interviews, making it highly relevant for job preparation

Breaks down coding interview problems in a step-by-step manner, which can help learners develop a systematic approach to problem-solving

Uses GO to code solutions, which is a popular language in backend development and cloud computing, enhancing its relevance to modern tech stacks

Requires previous knowledge in GO, which may pose a barrier to entry for individuals without prior experience in this specific programming language

Covers a range of data structures and algorithms, including arrays, strings, dynamic programming, and hash tables, which are fundamental concepts in computer science

Includes multiple videos for each problem, such as explanation, coding, and walkthrough videos, offering a multi-modal learning experience

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 50 days of LeetCode in GO: Algorithms Coding Interview with these activities:

Review Data Structures and Algorithms Fundamentals

Show steps

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

Show steps

Review common data structures like arrays, linked lists, trees, and graphs.
Study basic algorithms like searching, sorting, and recursion.
Practice implementing these data structures and algorithms in Go.

Solve Basic LeetCode Problems in Go

Show steps

Practice solving easy LeetCode problems in Go to get comfortable with the platform and the language. This will help you build confidence and improve your problem-solving skills.

Show steps

Start with the 'Easy' difficulty problems on LeetCode.
Focus on problems related to arrays, strings, and basic math.
Write clean, well-documented Go code for each solution.
Test your code thoroughly with different inputs.

Review 'Cracking the Coding Interview'

Show steps

Use this book as a reference to supplement the course material and gain a deeper understanding of common interview questions and techniques. It provides a broader perspective and more detailed explanations.

View Cracking the Coding Interview on Amazon

Show steps

Read the chapters related to the topics covered in the course.
Work through the example problems and solutions.
Try to solve the problems on your own before looking at the solutions.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Review 'Algorithms' by Robert Sedgewick and Kevin Wayne

Show steps

Use this book to gain a more theoretical and rigorous understanding of the algorithms and data structures covered in the course. It provides a deeper dive into the underlying principles and mathematical foundations.

View Introduction to Programming in Java: An... on Amazon

Show steps

Read the chapters related to the algorithms and data structures covered in the course.
Work through the examples and exercises in the book.
Compare the explanations and implementations in the book with those in the course.

Create a Blog Post Explaining a LeetCode Problem

Show steps

Solidify your understanding of a specific LeetCode problem by writing a blog post explaining the problem, the solution, and the reasoning behind it. This will force you to think critically and communicate your knowledge effectively.

Show steps

Choose a LeetCode problem that you found challenging or interesting.
Write a clear and concise explanation of the problem statement.
Describe the solution in detail, including the algorithm and data structures used.
Explain the reasoning behind the solution and why it works.
Include code examples in Go and test cases to demonstrate the solution.

Help Others on LeetCode Discuss Forums

Show steps

Reinforce your understanding by helping other students on the LeetCode discussion forums. Explaining concepts to others is a great way to solidify your own knowledge.

Show steps

Browse the LeetCode discussion forums for questions related to the topics covered in the course.
Answer questions clearly and concisely, providing code examples and explanations.
Be patient and helpful, even if the question seems simple.

Build a LeetCode Problem Solver Tool

Show steps

Create a tool that can automatically solve LeetCode problems. This will require you to apply your knowledge of data structures, algorithms, and Go programming to a real-world project.

Show steps

Design the architecture of the tool, including the input and output formats.
Implement the core algorithms and data structures required to solve the problems.
Integrate the tool with the LeetCode API to fetch problems and submit solutions.
Test the tool thoroughly with different problems and inputs.

Career center

Learners who complete 50 days of LeetCode in GO: Algorithms Coding Interview will develop knowledge and skills that may be useful to these careers:

Software Engineer

A software engineer is responsible for designing, developing, and maintaining software systems. This course is directly applicable to the work of a software engineer, as it covers algorithms and data structures that are critical in the field. It provides instruction on problem-solving techniques, especially those used in coding interviews, which is a key component of obtaining a software engineering role. This course focuses on popular interview questions asked by major tech companies, and it teaches different approaches to find optimal solutions, which are abilities a software engineer relies on each day. The course's emphasis on practical coding and understanding the logic behind various solutions will help a software engineer develop their skills.

See salaries and explore the career path for Software Engineer

Algorithm Developer

Algorithm developers create and implement algorithms for diverse applications, often requiring deep analytical and problem-solving skills. This course helps those aspiring to be algorithm developers by providing instruction on the building blocks of algorithm development. It offers practical experience with data structures and algorithms, which are often used by algorithm developers. The course also helps algorithm developers learn patterns to help them generalize and create their own algorithms. The focus on LeetCode interview questions is beneficial to this role, as these questions are designed to assess one's understanding and ability to implement data structures and algorithms. The step-by-step explanations and coding walkthroughs in this course enable algorithm developers to strengthen their problem-solving and coding skills.

See salaries and explore the career path for Algorithm Developer

Game Developer

Game developers design and create video games, often requiring a strong foundation in algorithms and data structures to develop complex game mechanics and systems. This course may be useful for a game developer, as it provides a solid basis in the algorithms and data structures used in game development. The course's focus on problem-solving techniques and efficient coding practices can be directly applied to creating performant game code. The course's deep dive into coding interview problems could help a game developer better grasp algorithms and data structures, and prepare them for a game development job interview.

See salaries and explore the career path for Game Developer

Data Scientist

Data scientists analyze and interpret complex data using various statistical and machine learning techniques. While the course does not focus on statistical methods, it offers a strong foundation in data structures and algorithms, which are fundamental to the field. A data scientist benefits from the course's focus on problem-solving and coding, as they need both of these skills in their work. Furthermore, the course's focus on efficient algorithms to solve practical problems will help the data scientist implement their own solutions. The course may be useful to those who want to strengthen their understanding of the underlying tools that enable advanced data analysis.

See salaries and explore the career path for Data Scientist

Mobile Application Developer

Mobile application developers create applications for mobile devices that need to be both efficient and reliable. This course may be useful for a mobile application developer, as it covers data structures and algorithms that can help improve application performance. The course's focus on problem-solving techniques, coding, and algorithm development can be directly applied to crafting quality mobile applications. The step-by-step explanation of coding problems in this course can help a mobile application developer gain proficiency and implement efficient code.

See salaries and explore the career path for Mobile Application Developer

Machine Learning Engineer

Machine learning engineers develop and implement machine learning models, requiring knowledge of algorithms, data structures, and efficient coding practices. This course may be useful for an aspiring machine learning engineer, as it teaches critical problem-solving techniques and algorithmic approaches useful for the field. The course's focus on algorithms and data structures helps build a foundation for machine learning practices. The course breaks down important algorithms and data structures step by step. Machine learning engineers use these practices in different applications, making the course a reasonable choice for them.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

Quantitative analysts, also known as quants, use mathematical and statistical methods to solve financial problems. While this course does not focus on financial modeling, it provides a strong base in algorithms and data structures, which may be helpful in creating efficient trading algorithms. This course shows how to use different algorithms, and a quantitative analyst will benefit from this knowledge. The coding practice in this course may be helpful for a quantitative analyst, as they often need to code their own solutions. A course that covers the logic behind problem solving may be useful for quants who are building new financial models.

See salaries and explore the career path for Quantitative Analyst

Web Developer

Web developers create and maintain websites and web applications. While this course does not focus specifically on front end or back end development, it may be useful for web developers as it builds efficiency and problem-solving skills. A web developer needs to understand how to write efficient code to ensure applications are fast and reliable; this course helps build a foundation in that area. The course's coverage of algorithms and data structures, and its focus on efficient coding practices, may be useful for developing a solid foundation for a web developer.

See salaries and explore the career path for Web Developer

Embedded Systems Engineer

Embedded systems engineers work with hardware and software, often in resource-constrained environments. This course may help an embedded systems engineer, as the study of algorithms and data structures is crucial for optimizing code in embedded systems. This course covers algorithms and data structures, and it emphasizes efficient solutions, something many embedded systems engineers deal with. The course's focus on problem-solving techniques may further help an embedded systems engineer. While this course does not focus on the hardware aspects of the field, it provides the fundamentals needed to program them.

See salaries and explore the career path for Embedded Systems Engineer

Systems Engineer

Systems engineers work on the overall design and management of complex systems. This course may be useful for a system engineer, as they need to understand how to implement algorithms and data structures to achieve an efficient system. This course teaches the foundations of algorithms and data structures step by step. Systems engineers often need to optimize performance of systems, and the focus on problem-solving in this course may help them do so. While the course does not focus on overall system design, the foundations it provides may be useful in the field.

See salaries and explore the career path for Systems Engineer

Quality Assurance Engineer

Quality assurance engineers are responsible for testing software and ensuring it is stable and bug free. This course may be useful for a quality assurance engineer as they may need to understand the data structures and algorithms behind the software that they are testing. The course's focus on problem-solving and algorithm development may be useful to them when approaching testing. This course shows many approaches to solving a single problem, which can help a quality assurance engineer test for edge cases. While the course does not teach testing techniques, it may improve a quality assurance engineer's understanding of software systems and problem analysis.

See salaries and explore the career path for Quality Assurance Engineer

Technical Consultant

Technical consultants advise clients on technical solutions and often need a strong understanding of a diverse range of technical concepts, which this course may help build. This course shows how to solve problems efficiently using algorithms and data structures. A technical consultant needs to be able to understand and analyze problems thoroughly. Thus, the detailed explanations in this course may be useful for a technical consultant to grasp different problem solving approaches. While the course does not directly teach consulting skills, the technical knowledge it provides may be of use for a technical consultant.

See salaries and explore the career path for Technical Consultant

Research Scientist

Research scientists conduct research and analysis, often building new theories or improving existing ones. This course may be useful for a research scientist, especially those in computer science or related fields, as it provides a foundation in algorithms and data structures which can be critical in research. The course's focus on problem-solving may be applicable to conducting research in many different fields of study. Many research positions require advanced degrees, so such a candidate may find this course helpful as supplemental learning. While this course does not cover research methods, it may be helpful in the development of innovative solutions for a research scientist.

See salaries and explore the career path for Research Scientist

Data Analyst

Data analysts use various tools to extract and analyze data to identify trends and insights. While this course may not be directly applicable to data analysis tools, it provides a foundation in problem-solving, which is key for a data analyst to be effective. Data analysts typically need to have some level of understanding of code and software systems. Thus this course may help them grasp more technical ideas. While the course does not teach data analysis techniques, it may be helpful for a data analyst to enhance their understanding of technical concepts and to improve their problem-solving techniques.

See salaries and explore the career path for Data Analyst

Technical Writer

Technical writers create documentation such as guides and articles meant to explain technical topics. While the course does not teach writing, it may be useful for a technical writer who needs to grasp the logic behind algorithms and data structures. The course's detailed explanations of algorithms, data structures, and coding solutions may be helpful for a technical writer who seeks to explain the same topics. The course is not a direct path for those looking into technical writing, but it may improve one's depth of understanding of software engineering topics.

See salaries and explore the career path for Technical Writer

50 days of LeetCode in GO

Algorithms Coding Interview

What's inside

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Syllabus

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Activities

Career center

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