Leetcode For Beginners: Crack DSA Interviews With Blind 75+ from Udemy

Welcome to "Leetcode For Beginners: Crack DSA Interviews With Blind 75+" your comprehensive guide to mastering Data Structures and Algorithms (DSA) and acing coding interviews at top tech companies.

This course is specially designed for beginners looking to build a solid foundation in DSA, equipping them with the skills and confidence needed to solve complex problems and excel in technical interviews.

With 35+ hours of in-depth video content, this course will walk you step-by-step through 14 essential problem-solving patterns that are frequently tested in coding interviews. You’ll tackle 80-100 of the most important Leetcode problems, including questions from the famous Blind 75 list - carefully chosen to prepare you for success in real-world interviews.

What patterns will we cover?

Throughout the course, you will explore 14 crucial patterns that are key to solving most DSA problems encountered during technical interviews:

Array, String: Manipulation / Hashing
Array, String: Two Pointers
Array, String: Sliding Window
Linked List: Fast and Slow Pointers
Stack
Binary Search
Trees: DFS/BFS
Backtracking
Tries
Graphs: DFS / BFS / Union Find
Dynamic Programming (DP): Memoization / Tabulation
Greedy Algorithms
Merge Intervals
Matrix
Binary: Bit Manipulation

Throughout the journey, we also work with,

Divide & Conquer
Top K Elements
Topological Sort
Kadane's Algorithm

Prerequisites

To make the most of this course, it’s recommended that you have:

Basic Knowledge of Data Structures and Algorithms: Familiarity with fundamental data structures like arrays, linked lists, trees, graphs and basic sorting/searching techniques.
Understanding of Space and Time Complexity: A basic understanding of how to evaluate the efficiency of algorithms using time complexity (Big O notation) and space complexity.

Who is this course for?

Whether you are an aspiring software developer, a self-taught programmer, or a computer science student preparing for job interviews, this course is ideal for you. We start with the basics to make every concept approachable and practical, while still ensuring that you build up to solving more advanced problems confidently.

Why take this course?

By the end of this course, you will have practiced solving 80-100 Leetcode problems and gained the skills to approach each problem strategically. Instead of memorizing answers, you’ll develop a problem-solving mindset that allows you to independently solve new questions effectively and efficiently.

With 35+ hours of video content covering the best patterns, questions, and approaches, prepare yourself for coding interviews and confidently master data structures and algorithms. Begin your journey to success today.

What's inside

Learning objectives

Master 14 key problem-solving patterns that are commonly used to tackle dsa problems.
Solve 80-100 of the most crucial dsa questions, including those from the blind 75 list.
Learn how to recognize the right pattern to efficiently solve a given dsa problem.
Gain a clear understanding of algorithmic concepts like recursion, dynamic programming, and graph traversal.
Build skills to analyze time and space complexity, ensuring your solutions are optimized.

Develop practical coding skills by implementing solutions for commonly asked interview questions.
Enhance your problem-solving mindset to approach complex technical interview questions with confidence.
Practice interview-style questions to get comfortable with both whiteboard coding and coding assessments.
Increase your confidence and readiness for technical interviews by mastering in-demand dsa concepts.
Develop a deep understanding of data structures like arrays, linked lists, stacks, queues, trees, graphs, and more.

Master 14 key problem-solving patterns that are commonly used to tackle dsa problems.
Solve 80-100 of the most crucial dsa questions, including those from the blind 75 list.
Learn how to recognize the right pattern to efficiently solve a given dsa problem.
Gain a clear understanding of algorithmic concepts like recursion, dynamic programming, and graph traversal.
Build skills to analyze time and space complexity, ensuring your solutions are optimized.
Develop practical coding skills by implementing solutions for commonly asked interview questions.
Enhance your problem-solving mindset to approach complex technical interview questions with confidence.
Practice interview-style questions to get comfortable with both whiteboard coding and coding assessments.
Increase your confidence and readiness for technical interviews by mastering in-demand dsa concepts.
Develop a deep understanding of data structures like arrays, linked lists, stacks, queues, trees, graphs, and more.

Syllabus

Introduction

Welcome To The Course

Resources / Speed / Recommendations [Important]

Resources [Important]

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers essential data structures and algorithms, which are fundamental for computer science and software engineering roles

Includes questions from the Blind 75 list, which is a compilation of frequently asked interview questions at top tech companies

Requires familiarity with fundamental data structures like arrays, linked lists, trees, and graphs, which may require additional study for some learners

Teaches dynamic programming using memoization and tabulation, which are essential techniques for algorithm optimization and problem-solving

Explores graph algorithms, including DFS, BFS, and Union Find, which are crucial for solving network and connectivity problems

Assumes a basic understanding of space and time complexity, which is a prerequisite for optimizing algorithms and data structures

Reviews summary

Effective dsa for coding interviews

According to learners, this course is a highly effective resource for tackling Data Structures and Algorithms (DSA) problems common in coding interviews. Students appreciate the clear explanations provided by the instructor and the focus on teaching problem-solving patterns rather than just memorizing solutions. The course extensively covers problems from the Blind 75+ list, making it highly relevant for interview preparation. While many find it beneficial, some reviewers note that the pace might be fast for absolute beginners and emphasize that significant additional practice outside the course is essential to fully internalize the concepts and succeed in technical interviews. Overall, it is widely recommended for those preparing for software development roles.

Problems covered are well-chosen and important.

"The selection of problems is fantastic and very representative."

"Covering the Blind 75+ list is extremely valuable."

"Good mix of foundational and slightly more challenging problems."

"The problems selected are exactly what I see in practice interviews."

Course effectively teaches problem-solving patterns.

"Learning the patterns was a game-changer for me."

"Identifying patterns makes approaching new problems much easier."

"The course teaches you how to think about problems, not just solve specific ones."

"Understanding the underlying patterns helped unlock many problems."

Instructor explains concepts and solutions clearly.

"The instructor explains complex topics in a very simple way."

"Solutions are broken down step-by-step, which is super helpful."

"I finally understood recursion after watching these videos."

"The explanations are easy to follow and well-structured."

Highly relevant for technical coding interviews.

"This course was instrumental in my interview preparation."

"Felt much more confident after completing this and practicing."

"The problems covered are highly relevant to real interviews."

"Definitely helps build confidence for the interview process."

Pace might be fast for absolute beginners.

"Even with basic knowledge, the pace felt quite fast at times."

"Absolute beginners might struggle and need prior study."

"Requires a solid foundation before diving into the problem solving sections."

"Some lectures moved a bit too quickly without sufficient foundational review."

Requires significant practice beyond lectures.

"The course is a great start, but you need to solve many more problems yourself."

"Don't expect to ace interviews just by finishing this; practice is key."

"Excellent theory and examples, but hands-on coding outside lectures is crucial."

"This course gives you the tools, but consistent practice is what makes you proficient."

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 Leetcode For Beginners: Crack DSA Interviews With Blind 75+ with these activities:

Review Basic Data Structures

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Solidify your understanding of fundamental data structures to prepare for more advanced concepts in the course.

Browse courses on Arrays

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Read introductory materials on arrays and linked lists.
Implement basic operations for stacks and queues.
Review tree and graph representations.

Review 'Cracking the Coding Interview'

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Supplement your learning with a review of 'Cracking the Coding Interview' to gain insights into common interview questions and problem-solving strategies.

View Cracking the Coding Interview on Amazon

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Read relevant chapters on data structures and algorithms.
Solve practice problems from the book.
Review interview strategies and tips.

Solve Array and String Problems on LeetCode

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Practice solving LeetCode problems related to arrays and strings to reinforce your understanding of these fundamental data structures.

Browse courses on Array

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Select 5-10 array and string problems on LeetCode.
Implement solutions in your preferred language.
Analyze the time and space complexity of your solutions.

Four other activities

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Show all seven activities

Participate in Peer Coding Sessions

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Engage in peer coding sessions to practice problem-solving and learn from others' approaches.

Browse courses on Arrays

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Find a coding partner or group.
Choose a LeetCode problem to solve together.
Discuss different approaches and implement a solution collaboratively.

Create a Video Explaining Dynamic Programming

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Solidify your understanding of dynamic programming by creating a video explaining the concept and demonstrating its application to a specific problem.

Browse courses on Dynamic programming

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Choose a dynamic programming problem to explain.
Prepare a script and visuals for your video.
Record and edit your video.
Share your video with peers for feedback.

Implement a Trie Data Structure

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Build a Trie data structure from scratch to deepen your understanding of this advanced data structure and its applications.

Browse courses on Data Structures

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Design the Trie node structure.
Implement insert, search, and startsWith methods.
Test your implementation with various inputs.

Review 'Introduction to Algorithms'

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Consult 'Introduction to Algorithms' for a deeper understanding of the theoretical underpinnings of the algorithms covered in the course.

View Introduction to Algorithms, fourth edition on Amazon

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Read chapters related to specific algorithms covered in the course.
Work through examples and exercises in the book.
Compare the book's explanations with the course material.

Career center

Learners who complete Leetcode For Beginners: Crack DSA Interviews With Blind 75+ will develop knowledge and skills that may be useful to these careers:

Software Engineer

A Software Engineer designs, develops, and maintains software applications. This role requires a deep understanding of algorithms and data structures. This course specifically helps build a foundation for tackling complex coding challenges that are commonly encountered in software engineering. Through practice with 80 to 100 Leetcode problems, the course also helps prepare for technical interviews at top tech companies. The course’s coverage of essential problem-solving patterns, combined with emphasis on time and space complexity, are crucial for creating efficient and scalable solutions used by a Software Engineer.

See salaries and explore the career path for Software Engineer

Algorithm Developer

An Algorithm Developer creates and refines algorithms for various applications, often focusing on performance and efficiency. This course on data structures and algorithms helps in the design and optimization of algorithms by presenting real-world problem-solving scenarios. The course introduces crucial patterns and techniques, such as recursion, dynamic programming, and graph traversal, which are paramount to algorithm development. This course also enhances the ability to analyze time-space complexity, important for any Algorithm Developer. Further, learners practice approaching problems strategically, rather than memorizing solutions.

See salaries and explore the career path for Algorithm Developer

Data Scientist

A Data Scientist analyzes complex datasets, develops statistical models, and extracts actionable insights. While a significant portion of the role involves statistical analysis, Data Scientists sometimes must perform data manipulation and cleaning. This course's focus on data structures and algorithms is beneficial for any data professional, with material covering arrays, strings, linked lists, trees, and graphs, which are foundational for data structuring. The course also enhances problem-solving abilities through its practical approach to algorithm implementation, a useful skill for a Data Scientist making data-based decisions.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models. They often must create and optimize the data pipeline for such projects. This course may be useful since it provides a strong background in data structures and algorithms, which are critical for the efficient implementation of machine learning systems. The course introduces dynamic programming, graph traversal, and other techniques that are valuable for optimizing machine learning algorithms. The problem-solving mindset developed in this course helps a Machine Learning Engineer tackle complex challenges inherent in model development.

See salaries and explore the career path for Machine Learning Engineer

Technical Consultant

A Technical Consultant provides expert advice and solutions to clients on technical issues. They need a robust grounding in computer science principles and the ability to solve complex technical problems. This course may be useful as it offers an approach to systematic problem solving and a wide range of algorithms and data structures. The course provides practical experience with 80-100 Leetcode problems which helps in preparation for on-the-job challenges. A Technical Consultant benefits from the skills gained in this course, regardless of industry.

See salaries and explore the career path for Technical Consultant

Quantitative Analyst

A Quantitative Analyst develops and implements mathematical and statistical models for financial markets. This role often requires the analysis and manipulation of large amounts of data. A course like this, which offers a comprehensive approach to data structures and algorithms, will help the Quantitative Analyst make data-driven decisions. Specifically, this course covers important algorithmic concepts like recursion and dynamic programming that are advantageous in quantitative finance. The course also enhances skills in analyzing time and space complexity for optimal performance.

See salaries and explore the career path for Quantitative Analyst

Web Developer

A Web Developer designs and builds websites and web applications. While not always a focus of web development, this course's coverage of data structures and algorithms provides a solid foundation for optimizing application performance. A Web Developer benefits from understanding the concepts in this course, especially if working on complex web applications. The course gives practice in problem-solving that may be useful when debugging and fixing web application issues. The course's focus on practical applications of algorithms also helps the Web Developer think strategically about application development.

See salaries and explore the career path for Web Developer

Mobile Application Developer

A Mobile Application Developer creates applications for mobile devices. Efficiency and performance are critical in mobile development. By focusing on data structures and algorithm design, this course provides a Mobile Application Developer with necessary tools for creating high-performing apps. The course is also useful for tackling complex technical problems that may emerge in mobile development. While not every project will require complex algorithms, a Mobile Application Developer needs a solid understanding of data structures such as arrays, linked lists, trees, and graphs, all of which are covered by this course.

See salaries and explore the career path for Mobile Application Developer

Database Administrator

A Database Administrator manages and maintains databases, ensuring their security and performance. While not directly related to database management, this course may be useful since it provides a framework for understanding data structure and optimization. The systematic approach to problem-solving taught in the course can translate to the challenges faced by a Database Administrator when designing and implementing databases. The course introduces techniques for analyzing time-space complexity, which can be relevant when optimizing database queries. This course's focus on algorithms further helps a Database Administrator.

See salaries and explore the career path for Database Administrator

Cybersecurity Analyst

A Cybersecurity Analyst protects computer systems and networks from threats. While not a core part of the role, a strong understanding of data structures and algorithms helps a Cybersecurity Analyst when dealing with large datasets, and during incident response. This course may be useful when managing large log files to identify and mitigate network attacks. The problem-solving focus, together with an understanding of efficiency, can enhance the skills of a Cybersecurity Analyst. The course may provide a deeper appreciation of network topology, which this course represents using graphs.

See salaries and explore the career path for Cybersecurity Analyst

Game Developer

A Game Developer designs and creates video games. This course may be useful for a Game Developer since game development often involves complex problem-solving and efficient data handling. This course presents a practical approach to algorithms and data structures, which is valuable for implementing core game mechanics. The course's coverage of graph algorithms, dynamic programming, and recursion may help a Game Developer write cleaner code. Further, the course is particularly helpful in the design of game AI, which uses algorithmic techniques.

See salaries and explore the career path for Game Developer

Robotics Engineer

A Robotics Engineer designs, builds, and programs robots. While this role is varied, it may include the need for algorithms and data structures, particularly when working with robotic motion planning. This course may be useful because it teaches algorithms and data structure concepts using a problem-solving focus. The course’s focus on graphs and other data structures could help a Robotics Engineer solve complex problems. The course's coverage of a variety of problem-solving patterns could also be useful.

See salaries and explore the career path for Robotics Engineer

Technical Writer

A Technical Writer creates documentation for software and hardware. While not directly a technical role, a Technical Writer benefits from having a solid grasp of computer science fundamentals to help with comprehension. This course may be useful as it provides a solid foundation of algorithms and data structures, which enhances a Technical Writer's ability to understand the technology being documented. The course covers commonly used concepts in computer science, which would aid in comprehension. The course’s structured approach to problem-solving may help a Technical Writer better approach their tasks.

See salaries and explore the career path for Technical Writer

Systems Analyst

A Systems Analyst evaluates and improves an organization's computer systems. While not always a core requirement, this course may be useful as it offers a strong foundation for understanding data structures used by such systems, and a disciplined approach to problem-solving. A Systems Analyst who has this background has a better understanding of the data flows within a system. This course offers a practical approach to data structures and algorithms, with a focus on efficiency and system design, concepts that are useful for a Systems Analyst.

See salaries and explore the career path for Systems Analyst

Quality Assurance Engineer

A Quality Assurance Engineer tests software and applications to ensure they meet quality standards. While not a requirement for the role, a Quality Assurance Engineer may use this course to better understand how software is built, helping them approach problem-solving in their testing. This course may be useful as it covers a wide range of algorithms and data structures, providing context for software development. The course may offer an appreciation of time and space complexity when evaluating software performance. The course thus provides a strong background for this role.

See salaries and explore the career path for Quality Assurance Engineer

Leetcode For Beginners

Crack DSA Interviews With Blind 75+

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Learning objectives

Syllabus

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Reviews summary

Effective dsa for coding interviews

Activities

Career center

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