50 days of LeetCode in Swift: Algorithms coding interview from Udemy

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 Swift for this course to code our solutions, previous knowledge in Swift 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)

Utilise the video format of online courses

Microsoft Array Question: Container with most water (Medium)

Career center

Learners who complete 50 days of LeetCode in Swift: Algorithms coding interview will develop knowledge and skills that may be useful to these careers:

Software Engineer

A Software Engineer designs, develops, and maintains software applications and systems. This role demands a strong grasp of efficient problem-solving, which is precisely what "50 days of LeetCode in Swift: Algorithms coding interview" cultivates. The course provides extensive training in mastering popular problem-solving techniques, data structures like arrays, trees, and graphs, and algorithms crucial for optimizing software performance. Learners systematically break down complex problems and implement robust solutions, directly applicable to developing scalable and reliable software. Engaging with hand-picked LeetCode questions helps build the foundational skills necessary to excel in this field and confidently tackle advanced engineering challenges.

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Algorithm Engineer

An Algorithm Engineer specializes in designing, analyzing, and implementing efficient algorithms for various computational problems. This role is a perfect fit for a learner of "50 days of LeetCode in Swift: Algorithms coding interview." The course is entirely dedicated to mastering popular problem-solving techniques, deep dives into data structures such as trees and graphs, and intricate algorithms like dynamic programming and backtracking. Learners gain unparalleled experience in breaking down complex challenges and crafting optimal solutions. The systematic approach to understanding and coding interview questions directly translates to the daily tasks of an Algorithm Engineer, providing the fundamental skills to innovate and optimize computational systems.

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Backend Developer

As a Backend Developer, you are responsible for building and maintaining the server-side logic, databases, and APIs that power applications. This career path critically depends on a deep understanding of data structures and algorithms, core components of "50 days of LeetCode in Swift: Algorithms coding interview." The course meticulously explains techniques for optimizing data access, managing complex application states, and designing efficient systems. By focusing on popular interview questions involving arrays, hash tables, and dynamic programming, learners gain practical experience in crafting high-performance, scalable backend services. This systematic approach to problem-solving helps build the proficiency needed to architect robust backend infrastructures.

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Machine Learning Engineer

A Machine Learning Engineer designs, builds, and deploys intelligent systems that learn from data. This field is heavily reliant on advanced algorithms and efficient data processing, making "50 days of LeetCode in Swift: Algorithms coding interview" particularly relevant. The course's focus on dynamic programming, graph algorithms, and efficient data structures provides a strong foundation for understanding and implementing complex machine learning models. Learning to systematically break down problems and optimize solutions is invaluable when working with large datasets and computationally intensive algorithms. While this role often requires an advanced degree, the course helps build the analytical and algorithmic rigor essential for success in machine learning.

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Technical Lead

A Technical Lead guides engineering teams, oversees technical design, and ensures the quality and efficiency of software development. While this role involves leadership and architectural responsibilities, a profound understanding of foundational computer science principles is essential. "50 days of LeetCode in Swift: Algorithms coding interview" may be very helpful by solidifying a leader's grasp of sophisticated problem-solving techniques, complex data structures, and efficient algorithms. The course's systematic approach to breaking down and solving challenging problems helps cultivate the strong technical intuition needed to mentor junior developers, make critical design decisions, and optimize system performance across a team.

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Mobile Application Developer

A Mobile Application Developer creates and maintains software for devices such as smartphones and tablets. Given that "50 days of LeetCode in Swift: Algorithms coding interview" utilizes Swift as its primary coding language, this course offers a direct advantage for aspiring mobile developers, particularly within the Apple ecosystem. While application development encompasses user interface and experience, an understanding of efficient data structures and algorithms remains vital for optimizing app performance and responsiveness. The course's systematic approach to problem-solving and its coverage of fundamental data structures like arrays and linked lists are highly beneficial for developing high-quality, performant mobile applications.

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Embedded Systems Engineer

An Embedded Systems Engineer designs and develops software for specialized computer systems found within larger devices, often with strict resource constraints. This field demands exceptionally efficient and optimized code, making the algorithmic problem-solving skills from "50 days of LeetCode in Swift: Algorithms coding interview" highly relevant. The course's focus on mastering data structures like arrays and linked lists, alongside algorithms that minimize time and space complexity, is crucial for developing high-performance embedded solutions. Learning to systematically approach and optimize problems, as demonstrated through hand-picked LeetCode questions, helps build the precision and efficiency required to excel in embedded systems development.

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Game Developer

A Game Developer creates interactive digital experiences, from core gameplay mechanics to artificial intelligence and graphics rendering. This creative field is surprisingly reliant on a deep understanding of algorithms and data structures for efficient game logic, physics simulations, and performance optimization. "50 days of LeetCode in Swift: Algorithms coding interview" provides invaluable training in mastering these computational foundations. The course's exploration of trees, graphs, and dynamic programming directly applies to implementing intelligent AI behaviors and optimizing game world interactions. Systematically solving complex problems, as taught in this course, helps aspiring Game Developers build engaging and high-performing games.

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Bioinformatics Scientist

A Bioinformatics Scientist develops and applies computational methods to analyze biological data, such as DNA sequences and protein structures. This interdisciplinary field relies heavily on efficient algorithms and data structures to process vast amounts of complex biological information. "50 days of LeetCode in Swift: Algorithms coding interview" may be very helpful by providing a strong foundation in problem-solving techniques like dynamic programming and graph algorithms, which are directly applicable to sequence alignment, phylogenetic tree construction, and genome assembly. The course's systematic approach to breaking down problems cultivates the analytical rigor essential for developing sophisticated computational tools in bioinformatics, a field where an advanced degree is often beneficial.

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Data Scientist

A Data Scientist analyzes complex datasets to extract insights and build predictive models. While the role emphasizes statistical analysis and domain expertise, a strong command of data structures and algorithms, as taught in "50 days of LeetCode in Swift: Algorithms coding interview," may be very helpful. The course helps learners develop robust problem-solving skills for efficient data manipulation and processing, which are critical when managing large datasets. Understanding concepts like searching algorithms and hash tables can improve the efficiency of data preparation and feature engineering. This systematic approach to computational problem-solving can complement the analytical skills required to excel as a Data Scientist, a field where an advanced degree is often beneficial.

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Systems Engineer

A Systems Engineer designs, implements, and manages complex computer systems, ensuring their reliability, efficiency, and scalability. This role requires a robust understanding of how software components interact and perform. "50 days of LeetCode in Swift: Algorithms coding interview" provides a solid foundation in efficient problem-solving and data structure optimization that may be useful for a Systems Engineer. The course helps learners develop an analytical mindset for identifying bottlenecks and designing performant solutions, which is crucial for building resilient systems. Familiarity with various algorithms and data structures, from arrays to graphs, aids in understanding system architecture and making informed decisions about technology choices and performance tuning.

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Quantitative Analyst

A Quantitative Analyst applies mathematical and statistical methods to financial and risk management problems, often developing complex models and algorithms. This highly analytical field demands exceptional problem-solving and computational efficiency. "50 days of LeetCode in Swift: Algorithms coding interview" may be very useful by strengthening a candidate's foundational understanding of data structures and algorithms, which are crucial for developing high-performance financial models. The course's systematic approach to breaking down and optimizing complex problems aligns well with the rigorous analytical demands of quantitative finance. While this role typically requires an advanced degree in a quantitative field, robust algorithmic skills are a distinct advantage.

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Cybersecurity Engineer

A Cybersecurity Engineer protects computer systems and networks from threats, designing and implementing security measures. While this field often involves specialized knowledge in networking, cryptography, and threat analysis, the strong problem-solving skills developed in "50 days of LeetCode in Swift: Algorithms coding interview" may be useful. The course helps learners approach complex technical challenges systematically, applying logical reasoning to identify vulnerabilities and devise robust defensive strategies. Understanding data structures and algorithms can also be beneficial in analyzing security protocols, optimizing intrusion detection systems, and understanding the computational complexity behind cryptographic methods, enhancing overall analytical capabilities.

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Frontend Developer

A Frontend Developer builds the user-facing parts of websites and applications, focusing on user experience, interface design, and client-side logic. While this role is often associated with visual design and specific frameworks, the core problem-solving and algorithmic thinking instilled by "50 days of LeetCode in Swift: Algorithms coding interview" may be useful. Understanding efficient data structures like arrays and hash tables can help optimize complex UI interactions and manage application state efficiently. The systematic approach to breaking down problems and implementing robust solutions can improve performance and maintainability of client-side code, enhancing an aspiring Frontend Developer's ability to create responsive and engaging user interfaces.

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Cloud Engineer

A Cloud Engineer designs, implements, and manages cloud infrastructure and services, focusing on scalability, reliability, and cost-effectiveness. While this role primarily involves understanding cloud platforms and system architecture rather than complex algorithm design for specific applications, the foundational problem-solving skills taught in "50 days of LeetCode in Swift: Algorithms coding interview" may be useful. The course helps develop a systematic approach to identifying and resolving technical challenges, which is crucial for optimizing cloud resources and troubleshooting distributed systems. Understanding the principles of efficient data handling and computational complexity can indirectly contribute to designing more performant and resilient cloud solutions.

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