50 days of LEETCODE in Java: Algorithms Coding Interview from Udemy

Getting ready for your software engineering coding interview? This is the place for you.
Want to learn about the most popular problem-solving techniques, patterns, data structures, and algorithms used in those difficult interviews? Come on in
Want a step by step explanation of the most popular interview questions in the industry? You got it.
Want to get better at competitive programming? Enjoy the ride

Welcome to the course.

In this course, you'll have a detailed, step by step explanation 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 generalize 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 Java for this course to code our solutions, previous knowledge in Java 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 call stack 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
Algorithms and data structures
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
Algorithms and data structures
Strengthen your problem solving and programming skills

Syllabus

Solve Container with most water problem in multiple ways

Introduction to the problem

Brute Force solution Intuition

pseudocode walkthrough

Career center

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

Software Engineer

As a Software Engineer, you are at the heart of designing, developing, and maintaining software applications. This role demands strong problem-solving skills and a deep understanding of efficient code, precisely what the "50 days of LEETCODE in Java: Algorithms Coding Interview" course is designed to cultivate. It will help you in breaking down complex problems and implementing optimized solutions using data structures like arrays, trees, and graphs, along with algorithms such as dynamic programming and searching. This systematic approach to problem-solving and expertise in popular coding patterns is essential for building robust and performant software systems. By preparing you for challenging technical interviews at major tech companies, this course directly equips you with the programming skills and algorithmic thinking necessary for success in this career.

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Competitive Programmer Professional

A Competitive Programmer Professional regularly participates in programming contests, solving complex algorithmic problems under time pressure. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course is explicitly designed to enhance skills for competitive programming. It immerses you in solving challenging LeetCode questions, teaching popular problem-solving techniques, patterns, data structures like stacks, queues, and maps, and various algorithms including dynamic programming and backtracking. This course provides step-by-step explanations and coding videos for industry-standard problems, solidifying your ability to quickly analyze, strategize, and implement optimal solutions, which is the cornerstone of success in competitive programming.

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Algorithm Engineer

An Algorithm Engineer specializes in the design, analysis, and implementation of algorithms for various applications, often in fields requiring high computational efficiency. This role often requires an advanced degree. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course is a perfect fit for this career path, as its core focus is on mastering algorithms and data structures across categories like arrays, trees, graphs, dynamic programming, and backtracking. Your ability to break down problems, analyze different approaches, and implement optimal solutions, as taught in this course, directly aligns with the daily tasks of an Algorithm Engineer. This deep dive into problem-solving patterns and techniques using Java provides the foundational expertise needed to innovate and optimize algorithmic solutions.

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Backend Developer

A Backend Developer focuses on server-side logic, databases, APIs, and the architecture that powers applications, emphasizing performance and scalability. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course is highly relevant for aspiring backend developers as it hones your ability to write efficient algorithms in Java and effectively utilize data structures such as maps, stacks, and queues. This knowledge is paramount for optimizing database queries, handling large volumes of user requests, and ensuring the stability and speed of server operations. The course's focus on problem-solving techniques and common interview questions prepares you to tackle the intricate challenges of building high-performance backend systems.

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Performance Engineer

A Performance Engineer specializes in optimizing the speed, scalability, and efficiency of software systems and applications. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course is exceptionally well-suited for this career, as its entire premise revolves around efficient problem-solving and algorithmic optimization. Your expertise in analyzing and implementing efficient algorithms for arrays, trees, graphs, and dynamic programming, all taught using Java, directly applies to identifying bottlenecks and improving system responsiveness. This course provides the exact toolkit required to profile code, reduce computational complexity, and ensure software operates at its peak performance, which is the central goal of a Performance Engineer.

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Machine Learning Engineer

A Machine Learning Engineer designs, builds, and deploys scalable machine learning systems. This role often requires an advanced degree. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course helps build a critical foundation in algorithms and data structures, which are essential for implementing and optimizing machine learning models. Understanding efficient data manipulation, searching algorithms, and dynamic programming is crucial when developing and fine-tuning complex algorithms used in areas like natural language processing or computer vision. The course's emphasis on solving difficult problems and understanding algorithmic patterns directly contributes to your ability to develop performant and scalable ML solutions, preparing you for the rigorous demands of this field.

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Full-Stack Developer

A Full Stack Developer works on both the frontend and backend of applications, requiring a versatile skill set. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course provides a robust foundation for the backend aspects of this role, focusing on efficient Java programming, data structures, and algorithms. Proficiency in topics like arrays, strings, trees, and dynamic programming ensures you can build scalable and performant server-side logic and connect effectively with databases. The systematic problem-solving approach emphasized in the course is invaluable for optimizing application performance across the entire stack, enabling you to deliver seamless and efficient user experiences.

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Quantitative Developer Financial Technology

A Quantitative Developer in Financial Technology builds and optimizes high-performance trading systems, risk models, and analytical tools for financial markets. This role often requires an advanced degree. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course is highly beneficial as it sharpens the algorithmic and programming skills critical for this demanding field. Implementing complex mathematical models and ensuring their lightning-fast execution necessitates a profound understanding of efficient data structures and algorithms, including those related to arrays, searching, and dynamic programming. Your ability to write optimized Java code, as developed in this course, is essential for minimizing latency and maximizing computational efficiency in financial applications.

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Technical Lead Software

As a Technical Lead Software, you guide development teams, make architectural decisions, and ensure the technical quality and performance of software projects. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course helps establish a deep understanding of efficient algorithms and data structures, which is crucial for evaluating proposed solutions and conducting thorough code reviews. Your ability to identify optimal approaches to complex problems, analyze runtime complexities, and mentor team members on best practices, cultivated through this course's emphasis on systematic problem-solving, directly contributes to leading successful engineering initiatives and building high-performing software.

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Data Engineer

As a Data Engineer, you build and maintain the infrastructure for data collection, processing, and storage. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course helps develop essential skills for this role, particularly in optimizing data pipelines and working with large datasets. Understanding efficient data structures like linked lists, maps, and queues, alongside algorithms for searching and sorting, is crucial for designing performant ETL processes and data warehousing solutions. The course's structured approach to problem-solving and its emphasis on handling various data types will enable you to create robust and efficient data systems, making you adept at tackling the complexities of data infrastructure.

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Embedded Software Engineer

Embedded Software Engineers design and implement software for specialized hardware systems, often with significant constraints on memory and processing power. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course aids in developing the precise and efficient programming skills critical for this field. Crafting solutions that use minimal resources and execute quickly relies heavily on a deep understanding of data structures and algorithms, such as those covered for arrays, strings, and searching. The course's emphasis on optimizing code and understanding the performance implications of different approaches directly translates to designing reliable and efficient software for embedded systems where every byte and clock cycle counts.

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Game Developer

A Game Developer builds the logic, systems, and mechanics that bring virtual worlds to life, often requiring highly optimized solutions for performance. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course can be highly beneficial for a Game Developer, especially for roles focused on engine programming or gameplay systems. Crafting efficient algorithms for pathfinding, physics simulations, or complex AI behaviors demands a strong grasp of data structures like trees and graphs, along with techniques like dynamic programming and backtracking. This course enhances your problem-solving and programming skills, which are crucial for optimizing game performance and creating fluid, responsive interactive experiences.

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Cloud Software Engineer

A Cloud Software Engineer designs, develops, and maintains applications and infrastructure on cloud platforms like AWS, Azure, or Google Cloud. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course contributes significantly to the core programming and problem-solving skills needed in this role. When building scalable and resilient cloud-native services, understanding efficient data structures such as maps and linked lists, and optimizing algorithms for performance, is paramount. The course's focus on systematic problem-solving and coding in Java equips you to develop highly efficient and cost-effective cloud solutions, ensuring applications perform optimally within distributed environments.

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Research Scientist Computer Science

A Research Scientist in Computer Science conducts original research to advance knowledge in specific areas, often related to algorithms, artificial intelligence, or systems. This role typically requires an advanced degree, such as a Master's or PhD. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course helps build a robust theoretical and practical understanding of algorithms and data structures. This foundation is invaluable for designing experiments, implementing prototypes, and analyzing the efficiency of novel computational approaches. The course's focus on problem-solving techniques and systematic solution development prepares you to approach complex research challenges with a structured mindset, contributing to advancements in the field.

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Security Software Engineer

A Security Software Engineer focuses on building secure software systems and identifying vulnerabilities in existing codebases. The "50 days of LEETCODE in Java: Algorithms Coding Interview" course offers a strong foundation in core programming paradigms and algorithmic efficiency that is indirectly relevant to this role. A deep understanding of how data structures like arrays and strings are manipulated, and how algorithms function, provides critical insight into potential security flaws and performance bottlenecks. This technical proficiency, particularly in systematic problem-solving and robust coding practices cultivated by the course, helps in developing resilient software and analyzing code for security vulnerabilities more effectively.

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