50 Days of LeetCode in Kotlin: 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 Kotlin for this course to code our solutions, previous knowledge in Kotlin 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

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

Syllabus

Introduction

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

Utilising the video format of the course

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

Provides step-by-step explanations and coding walkthroughs, which can be especially helpful for learners who are new to algorithm problem-solving

Uses Kotlin, a modern and concise language, to implement solutions, which can enhance code readability and maintainability for developers familiar with the language

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

Prior knowledge in Kotlin is preferred but not required, so learners without prior experience may need to dedicate extra time to learning the basics of the language

Includes problems of varying difficulty, from easy to hard, which allows learners to gradually build their problem-solving skills and tackle more complex challenges

Reviews summary

Leetcode interview prep in kotlin

According to learners, this course is a highly effective resource for preparing for coding interviews using Kotlin. Students particularly appreciate the clear, step-by-step explanations provided for each problem, covering intuition, coding, and walkthroughs. The selection of LeetCode problems is considered relevant to real company interviews. While the course uses Kotlin, many found it accessible even without prior extensive Kotlin knowledge. Learners feel it builds a solid foundation but note that supplementing with additional practice on LeetCode is necessary for mastery.

Covers problems from easy to hard levels.

"Liked that it tackles problems of varying difficulty."

"The course progresses well, covering easy, medium, and hard problems."

"Some of the hard problems were quite challenging, which is good practice."

"It's not just easy problems; there's real substance here."

Solutions provided using Kotlin language.

"Using Kotlin is a great choice for Android developers preparing for interviews."

"Even without deep Kotlin experience, the code is easy enough to follow."

"Appreciated seeing the solutions implemented in Kotlin."

"The Kotlin code examples are clean and easy to understand."

Step-by-step intuition and code walkthroughs are praised.

"The explanations are top-notch, breaking down the problem and solution intuitively."

"Loved the detailed intuition videos before diving into the code."

"The walkthrough videos for the code line-by-line really helped solidify my understanding."

"Each problem is explained clearly, making complex concepts easier to grasp."

Handpicked LeetCode problems relevant to interviews.

"The problems selected are very relevant to what's asked in tech interviews."

"Great selection of common interview questions."

"Covers a good range of topics and patterns frequently seen in interviews."

"It was helpful to work through problems from specific major tech companies."

Effective preparation for coding interviews.

"This course significantly boosted my confidence for coding interviews."

"It helped me structure my approach to solving algorithmic problems."

"I feel much more prepared to tackle interview questions after this course."

"Provided practical techniques that I could immediately apply."

Best used as a foundation for more practice.

"This course is a great starting point, but you definitely need to practice more problems on LeetCode."

"It provides the patterns, but mastering requires solving many more problems."

"Think of this as a guide; you'll need to put in extra work on similar problems."

"Gives you the tools, but consistent practice is key to success."

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 Kotlin: Algorithms Coding Interviews 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 grasp the solutions and patterns discussed in the course.

Show steps

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

Review: Grokking Algorithms

Show steps

Use this book to build a strong foundation in algorithms and data structures. The visual explanations will help you understand the concepts more easily.

View Grokking Algorithms, Second Edition on Amazon

Show steps

Read the chapters relevant to the topics covered in the course.
Work through the examples and exercises in the book.

Practice Basic Array Problems on LeetCode

Show steps

Reinforce your understanding of array manipulation by solving easy LeetCode problems. This will build confidence and familiarity with the platform.

Browse courses on Arrays

Show steps

Solve 5-10 easy array problems on LeetCode in Kotlin.
Focus on understanding the problem and implementing a clean solution.
Review other people's solutions to learn different approaches.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Participate in a Peer Study Group

Show steps

Collaborate with peers to discuss LeetCode problems and solutions. Explaining concepts to others and learning from their perspectives can significantly improve your understanding.

Show steps

Find a study group or partner interested in LeetCode.
Choose a set of problems to work on together.
Discuss solutions and explain your reasoning.
Review each other's code and provide feedback.

Review: Cracking the Coding Interview

Show steps

Use this book as a reference for common interview questions and problem-solving techniques. It will help you prepare for the coding interview process.

View Cracking the Coding Interview on Amazon

Show steps

Read the chapters on data structures and algorithms.
Practice the interview questions in the book.
Review the tips and strategies for coding interviews.

Implement Common Data Structures in Kotlin

Show steps

Solidify your understanding of data structures by implementing them from scratch in Kotlin. This hands-on experience will deepen your knowledge and improve your coding skills.

Show steps

Choose a few common data structures like linked lists, stacks, queues, and trees.
Implement each data structure in Kotlin, including common operations.
Write unit tests to ensure your implementations are correct.

Create a Blog Post Explaining a LeetCode Problem

Show steps

Deepen your understanding of a specific LeetCode problem by writing a blog post explaining the problem, your solution, and the reasoning behind it. This will force you to articulate your knowledge clearly and concisely.

Show steps

Choose a LeetCode problem you found challenging or interesting.
Write a clear and concise explanation of the problem.
Describe your solution in detail, including the reasoning behind it.
Include code examples and diagrams to illustrate your explanation.

Career center

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

Algorithm Developer

An Algorithm Developer specializes in designing and implementing algorithms to solve complex problems. This course directly aligns with the core skills needed for this role, which include proficiency in data structures, algorithm design, and optimization techniques. The course provides explanations of popular techniques used in coding interviews and covers a wide array of algorithmic concepts such as searching, dynamic programming, and backtracking. An aspiring Algorithm Developer should take this course in particular because it mirrors the types of problems they will encounter in their career. The focus on real-world interview questions and step-by-step problem solving methods are valuable.

See salaries and explore the career path for Algorithm Developer

Software Engineer

A Software Engineer designs, develops, and maintains software systems. This course helps build a foundation in algorithm design and data structures, critical for a Software Engineer to write efficient and scalable code. The course's focus on LeetCode problems, mirroring real-world interview questions, directly prepares engineers for the coding challenges they face in the industry. By working through various problem types, such as those involving arrays, strings, searching, dynamic programming, backtracking, trees, and graphs, this course ensures Software Engineers can tackle a multitude of coding challenges. This course particularly stands out for its step-by-step explanations and coding walkthroughs.

See salaries and explore the career path for Software Engineer

Backend Developer

A Backend Developer is responsible for the server-side logic and databases that power web applications. This course is directly applicable, as it develops skills in data structures and algorithms which are essential for writing efficient and scalable backend code. The course's coverage of topics such as searching, dynamic programming, and graphs directly complements the work of a backend developer. This course particularly stands out because of its detailed, step-by-step approach to explaining and coding solutions for industry standard and prevalent problems.

See salaries and explore the career path for Backend Developer

Embedded Systems Engineer

An Embedded Systems Engineer develops software for devices that are not general purpose computers. These systems often have limited resources and require efficient code, meaning a solid understanding of algorithms and data structures is necessary. The focus on problem solving, and the coverage of arrays, strings, searching, dynamic programming, backtracking, trees, graphs, and data structures such as stacks, queues, and linked lists, is directly relevant to the work of an embedded systems engineer. The step-by-step approach of this course helps build a foundation in systematic and efficient problem solving.

See salaries and explore the career path for Embedded Systems Engineer

Robotics Engineer

A Robotics Engineer designs, builds, and programs robotic systems. This course will be useful when implementing algorithms for planning and navigation, as well as in the selection and management of data structures. The course's coverage of data structures and algorithms, including topics such as searching, dynamic programming, and graphs help create a foundation for a robotics engineer. The course's step-by-step explanation and walkthroughs are useful for this field.

See salaries and explore the career path for Robotics Engineer

Mobile Application Developer

A Mobile Application Developer designs and develops software applications for mobile devices. The course's focus on coding interview questions and problem solving may be useful as a mobile developer will require coding proficiency, algorithm knowledge. Working through problems involving arrays, strings, and algorithm types such as backtracking, dynamic programming, and searching, helps build a foundation for a mobile developer. This course particularly stands out because of its systematic, step-by-step explanations to industry-standard coding problems.

See salaries and explore the career path for Mobile Application Developer

Game Developer

A Game Developer creates and programs video games. The course's problem-solving techniques and knowledge of data structures and algorithms is applicable to game development, particularly in areas such as pathfinding, game logic, and AI. For a Game Developer, the course's focus on problem solving, which is taught step-by-step, can be beneficial. The topics covered in the course, such as trees and graphs, can have direct applicability to game development.

See salaries and explore the career path for Game Developer

Full-Stack Developer

A Full Stack Developer works on both the front-end and back-end components of web applications. This course may be useful as it provides a foundation in problem solving techniques and algorithms that are important for developing both parts of a system. The course will strengthen a full stack developer's ability to write scalable and performant code. The approach to teaching, which provides step-by-step explanations, is very helpful. A full stack developer may benefit from the course's problem solving approach.

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

Data Scientist

A Data Scientist uses statistical methods, machine learning, and algorithms to extract insights from data. While the course does not have a focus on statistics and machine learning, the problem-solving methods taught in it can be useful. The course's emphasis on data structures and algorithms, including topics like searching and dynamic programming, can be applied to data manipulation and analysis. This course may be useful for Data Scientists who wish to improve algorithmic thinking. These skills help Data Scientists analyze and manipulate data effectively and build robust and scalable models.

See salaries and explore the career path for Data Scientist

Tech Lead

A Tech Lead is a technical expert who guides a team of developers, making technical decisions and setting standards. This course can help a Tech Lead solidify their understanding of algorithms and data structures, allowing them to better evaluate and mentor other engineers. The various problem-solving techniques covered in the course, like binary search and dynamic programming, may be useful in leading complex projects and evaluating the work of others on the team. This course may be useful for a Tech Lead looking to maintain their competitiveness and to enhance their knowledge in the fundamentals.

See salaries and explore the career path for Tech Lead

Technical Consultant

A Technical Consultant provides expert advice and guidance on technology-related matters. While technical consultants may not be coding regularly, many do work directly with code and algorithms, and so a strong background in problem solving is necessary. The course’s focus on step by step problem solving may be helpful. A Technical Consultant may find this course helpful in solidifying their understanding of fundamental concepts.

See salaries and explore the career path for Technical Consultant

Site Reliability Engineer

A Site Reliability Engineer focuses on ensuring the reliability and scalability of IT systems. The problem solving techniques taught in the course, which provide foundations in data structures and algorithms, may be helpful in creating efficient systems. A Site Reliability Engineer will benefit from the course's focus on algorithms and data structures and the course's approach, which provides step-by-step explanations, will be very helpful. This course may be useful for an engineer seeking to improve the performance of their systems.

See salaries and explore the career path for Site Reliability Engineer

Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models. While the course does not cover machine learning itself, it provides essential skills in data structures and algorithms that are critical for model development and optimization. The coding interview questions covered are a subset of the general problem solving skills this role requires. A Machine Learning Engineer may benefit from this course for the emphasis on algorithmic thinking and problem-solving techniques like searching, dynamic programming, and graph traversal. This course may be useful for a machine learning engineer.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

A Quantitative Analyst, also known as a Quant, uses mathematical and statistical models to analyze financial markets. While a lot of the work of a quantitative analyst requires advanced mathematical techniques, proficiency in data structures and algorithms is useful. The course's focus on systematic problem solving and algorithmic thinking is relevant to a Quantitative Analyst who must write code to model and analyze data. This course may be useful for those interested in roles with an algorithmic component.

See salaries and explore the career path for Quantitative Analyst

Research Scientist

A Research Scientist conducts research in a scientific field, often involving simulations, data analysis, and algorithm development. This course may be helpful as it provides a foundation in algorithms and data structures, and these concepts can apply to a variety of research problems. The course emphasizes a systematic approach to problem-solving which suits the needs of a scientist. Those who are seeking a career as a Research Scientist may find value in the step-by-step, systematic approach used in problem explanation, pseudocode, and implementation.

See salaries and explore the career path for Research Scientist

50 Days of LeetCode in Kotlin

Algorithms Coding Interviews

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Leetcode interview prep in kotlin

Activities

Career center

Reading list

Share

Similar courses