50 days of LeetCode in C# : Algorithms Coding Interviews 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 c# for this course to code our solutions, previous knowledge in c# 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 a code video

Utilise the video format of online courses

Microsoft Array Question: Container with most water (Medium)

Traffic lights

Read about what's good

what should give you pause

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 seekers

Breaks down complex coding problems into step-by-step explanations and coding walkthroughs, which is helpful for learners who prefer a structured approach

Covers a range of data structures and algorithms, including arrays, strings, dynamic programming, trees, graphs, stacks, queues, maps, and linked lists, which are essential for coding interviews

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

Uses C# to code solutions, which is a language that remains relevant in the Microsoft ecosystem and in game development, but less so in other contexts

Reviews summary

Leetcode interview prep in c#

According to learners, this course is a highly relevant resource (positive) for preparing for coding interviews (positive), particularly for those focused on C# (neutral). Students praise the clear, step-by-step explanations (positive) and the instructor's ability to break down complex problems (positive). The selection of popular LeetCode problems (positive) is frequently highlighted as a major strength. While the course is seen as a valuable tool (positive), some reviewers suggest that certain topics could benefit from more detailed explanations (warning) and that having some prior C# knowledge is helpful (neutral), despite the description saying otherwise. Overall, it's considered very effective for building confidence in solving interview-style problems.

Basic C# knowledge helps greatly.

"Although the course says C# isn't required, I think a basic understanding is very helpful."

"Coming in with some C# background made the coding sections much easier to follow."

"If you're completely new to C#, you might find the coding parts challenging initially."

Implementation is specifically in C#.

"Loved that this course focused specifically on C# implementations."

"It's a great resource for C# developers preparing for interviews."

"While the concepts are general, the code is all in C#, which was perfect for me."

"If you're a C# developer, this focus is exactly what you need."

Covers problems frequently asked in interviews.

"The problems picked are very relevant to actual coding interviews at major tech companies."

"Great selection of LeetCode questions that cover essential algorithms and data structures."

"I felt the hand-picked problems truly represented common interview patterns."

"This course provides practice on highly relevant interview questions."

Explanations are detailed and easy to follow.

"The explanations for each problem were very clear and easy to understand."

"Instructor breaks down complex concepts into simple, digestible steps."

"I really appreciated the detailed walkthroughs of the intuition and pseudocode."

"The step-by-step approach made even hard problems feel manageable."

Some topics may require supplementary study.

"Sometimes I felt the explanations could go a bit deeper into the 'why' behind certain optimizations."

"Could use more in-depth coverage on some advanced topics or edge cases."

"Occasionally, I needed to look up additional resources to fully grasp a concept discussed."

"While good, it's not a replacement for a full algorithms and data structures course."

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 C# : Algorithms Coding Interviews with these activities:

Review Data Structures and Algorithms Fundamentals

Show steps

Solidify your understanding of fundamental data structures and algorithms in C# to prepare for the LeetCode problems.

Browse courses on Data Structures

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Review arrays, linked lists, stacks, queues, and hash tables.
Practice implementing basic search and sorting algorithms.
Work through introductory C# tutorials on data structures and algorithms.

Review 'Cracking the Coding Interview'

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Supplement the course material with 'Cracking the Coding Interview' to gain a broader perspective on interview preparation.

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

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Read the chapters on data structures and algorithms.
Solve the practice problems at the end of each chapter.
Focus on the problems that are similar to the LeetCode problems covered in the course.

Solve Basic C# Problems on HackerRank

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Sharpen your C# coding skills by solving basic problems on HackerRank to improve your familiarity with the language.

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Create a HackerRank account and choose the C# track.
Solve at least 10 easy-level C# problems.
Focus on problems involving arrays, strings, and basic input/output.

Four other activities

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Show all seven activities

Help Other Students in Online Forums

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Solidify your knowledge by helping other students with their questions and problems in online forums.

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Join online forums related to C# and LeetCode.
Answer questions from other students about the course material.
Explain concepts in your own words to reinforce your understanding.

Create a Blog Post Explaining a LeetCode Problem

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Deepen your understanding by explaining a LeetCode problem and its solution in a blog post.

Show steps

Choose a LeetCode problem from the course.
Write a clear and concise explanation of the problem and its solution.
Include code examples and diagrams to illustrate your explanation.
Publish your blog post on a platform like Medium or your own website.

Implement a Simple Data Structure Library in C#

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Reinforce your understanding of data structures by implementing your own simple library in C#.

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Choose 2-3 data structures to implement (e.g., linked list, stack, queue).
Write C# code to implement the basic operations for each data structure.
Write unit tests to ensure your implementations are correct.

Review 'Algorithms' by Robert Sedgewick and Kevin Wayne

Show steps

Use 'Algorithms' as a reference to deepen your understanding of the underlying principles behind the LeetCode problems.

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

Show steps

Read the relevant chapters for each LeetCode problem.
Focus on understanding the time and space complexity of each algorithm.
Compare the algorithms presented in the book to the solutions covered in the course.

Career center

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

Software Engineer

A software engineer designs, develops, tests, and maintains software applications. This '50 Days of LeetCode' course helps build a foundation for a software engineer, as a large part of the role involves problem-solving and algorithmic thinking. The course provides step-by-step explanations for interview questions and covers popular techniques, data structures, and algorithms, which are all crucial. The course focuses on questions asked by major tech companies, which may be useful for a software engineer during their job search. The course covers a breadth of topics including arrays, strings, dynamic programming, and backtracking, which can all be helpful in this role.

See salaries and explore the career path for Software Engineer

Algorithm Developer

An algorithm developer is responsible for designing and implementing algorithms to solve complex problems. This course centered around LeetCode problems may be helpful as it focuses on mastering problem-solving techniques, data structures, and algorithms, including dynamic programming, backtracking, trees, and graphs. The problems are handpicked to cover the most popular techniques and algorithms used in interviews, so you can generalize the patterns you learn. Since the course breaks down the coding interview problems in a step-by-step manner, it may enhance an algorithm developer's approach to problem-solving.

See salaries and explore the career path for Algorithm Developer

Data Scientist

A data scientist analyzes large datasets to extract meaningful insights and develop data-driven solutions. This course may be useful for a data scientist looking to strengthen their algorithm and data structure knowledge. The course dives into data structures like stacks, queues, maps, and linked lists, all of which can be useful in this role. Furthermore, the course's focus on popular problem patterns could help a data scientist approach complex analytical challenges. The course provides a detailed explanation of problems and their solutions, which may be helpful.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A machine learning engineer develops and implements machine learning models. This course may be helpful to a machine learning engineer, as it helps with strengthening their problem-solving and programming skills. The course covers various algorithms and data structures. It breaks down coding interview problems in a systematic manner. The step-by-step explanations and the focus on popular problem patterns could help a machine learning engineer approach complex problems. The topics covered may be useful as machine learning problems often involve algorithms and data structures.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

A data engineer builds and maintains the infrastructure for data storage and processing. The knowledge of algorithms and data structures may be useful for optimizing data pipelines and improving data processing efficiency. The course's emphasis on data structures like stacks, queues, and linked lists could help a data engineer design efficient data storage solutions. Furthermore, the course focuses on problem-solving techniques and algorithmic thinking, which can be applied to optimize data processing workflows. For example, the '50 Days of LeetCode' course covers searching algorithms, which may be useful in optimizing data retrieval processes.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

A quantitative analyst, prevalent in the finance industry, uses mathematical and statistical methods to solve financial problems. This course may be useful for a quantitative analyst as it focuses on honing problem-solving and programming skills through the lens of popular interview questions. The course's detailed explanations and step-by-step approach to problem-solving might be helpful when tackling complex financial models. The '50 Days of LeetCode' course covers a variety of algorithms and data structures, which may be useful for quantitative analysts.

See salaries and explore the career path for Quantitative Analyst

Full-Stack Developer

A full stack developer works on both the front-end and back-end of web applications. The '50 Days of LeetCode' course may be useful for a full stack developer, even though it does not focus directly on web development technologies. A strong understanding of algorithms and data structures may be helpful for optimizing application performance and solving complex problems on both the front-end and back-end. The course covers a variety of algorithms and data structures, providing a solid foundation for tackling a wide range of development challenges.

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

Backend Developer

A backend developer focuses on the server-side logic and databases that power web applications. This course may be useful for a backend developer as it covers algorithms and data structures, which are essential for efficient server-side programming. The course addresses interview questions from top tech companies, providing insight into industry best practices and expectations. Backend developers may find the course's focus on optimization and efficient algorithms helpful for building scalable and robust server-side applications.

See salaries and explore the career path for Backend Developer

Frontend Developer

A frontend developer builds the user interface and user experience of web applications. While this role is often associated with HTML, CSS, and JavaScript, knowledge of algorithms and data structures may be useful in optimizing frontend performance and creating interactive user interfaces. The content in the '50 Days of LeetCode' course addresses problem-solving and algorithmic thinking. The course's focus on data structures like arrays and strings may be useful for manipulating and displaying data on the front-end.

See salaries and explore the career path for Frontend Developer

Game Developer

A game developer creates video games for various platforms. This course may be useful for a game developer, since game development often involves complex algorithms and data structures for game logic, artificial intelligence, and optimization. The course covers a range of algorithms and data structures. The course's emphasis on problem-solving and step-by-step explanations could help a game developer tackle complex coding challenges and create engaging gameplay experiences.

See salaries and explore the career path for Game Developer

Mobile App Developer

A mobile app developer creates applications for mobile devices. This course may be useful for a mobile app developer, by helping to strengthen problem-solving and programming skills, which may be useful for building efficient and responsive mobile applications. The course's focus on data structures may be helpful for managing data within mobile apps. The detailed explanations and step-by-step approach to problem-solving might be helpful when tackling complex mobile app development challenges.

See salaries and explore the career path for Mobile App Developer

DevOps Engineer

A DevOps engineer automates and streamlines the software development and deployment process. This course may be useful for a DevOps engineer by improving their scripting and automation skills. The course's problem-solving techniques and algorithmic thinking may be applied to optimize infrastructure management and automate deployment pipelines. Knowledge of data structures may be helpful for managing configuration data and automating system monitoring. The content in the '50 Days of LeetCode' course provides a foundation for tackling complex automation challenges.

See salaries and explore the career path for DevOps Engineer

Technical Consultant

A technical consultant provides expert advice and guidance to clients on technology-related projects. The '50 Days of LeetCode' course may be useful for a technical consultant to improve their problem-solving skills. The consultant could use these skills to formulate and present effective and efficient technology solutions. The course covers problem-solving techniques and algorithmic thinking. Discussing these challenges with clients and devising solutions may be easier after completing the course.

See salaries and explore the career path for Technical Consultant

Technical Writer

A technical writer creates documentation for software and hardware products. While not directly related to coding, the '50 Days of LeetCode' course may be useful for a technical writer by providing a deeper understanding of the underlying concepts and technologies they are documenting. This understanding may be useful for creating clearer and more accurate documentation. Even though the course is code based, the high-level understanding of the problems might be useful. The course may help a technical writer, even if they are not a coder.

See salaries and explore the career path for Technical Writer

Project Manager

A project manager oversees and coordinates technology projects. The '50 Days of LeetCode' course could be useful for a project manager, as it may improve their general understanding of coding principles. This understanding could inform better decision making and help to manage expectations during different project milestones. The insight gained from understanding basic software development principles may improve communication with team members. The course does not directly teach project management principles, so it's only tangentially related.

See salaries and explore the career path for Project Manager

50 days of LeetCode in C#

Algorithms Coding Interviews

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What's inside

Learning objectives

Syllabus

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Reviews summary

Leetcode interview prep in c#

Activities

Career center

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