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Cracking the Coding Interview

4.2 Filled star Filled star Filled star Filled star Empty star
Based on 41 ratings
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Harshith Gandham

The purpose of this Course is to help the Engineers who are going to be interviewed for Software development positions at various BIG Tech Companies, to crack the coding interview.

Enclosed in this Course is a Collection of Problems/Questions asked at various Coding Interviews.

Note that the numbers of questions enclosed in this Course is open ended.

We update this Course regularly with a number of potential problems collected based on our conversations with interviewers and candidates.

Read more

The purpose of this Course is to help the Engineers who are going to be interviewed for Software development positions at various BIG Tech Companies, to crack the coding interview.

Enclosed in this Course is a Collection of Problems/Questions asked at various Coding Interviews.

Note that the numbers of questions enclosed in this Course is open ended.

We update this Course regularly with a number of potential problems collected based on our conversations with interviewers and candidates.

Hence, by purchasing this course, you are obtaining something which helps you through out your Software Development Journey.

By the end of this Course,

You will have the ability to formulate real-world problems.

You will have the skill to analyze a problem, design the algorithm and convert the algorithm to a tested Program.

You will have the analytical ability to determine the computational complexity of an algorithm.

Coming to the prerequisite of this Course, You should have strong basics on Data Structures and Algorithms.

Note that this Course does not teach you data structures and algorithms.

It teaches you how to apply data structures and algorithms to solve various problems.

And finally, this course comes with a 30-days Money back guarantee.

Hence, there is really nothing you loose.

I am super excited to see you enrolled in this Course.

Thank You.

Enroll now

What's inside

Learning objectives

  • Coding interview questions.
  • Ability to formulate real-world problems.
  • Skill to analyze a problem, design the algorithm and convert the algorithm to a tested program.
  • Analytical ability to determine the computational complexity of an algorithm.
  • Algorithmic problem solving

Syllabus

Introduction
About this Course
[Strings] Check whether the given String is a permutation of a palindrome
Problem Statement
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Focuses on applying data structures and algorithms to solve problems, which is essential for performing well in coding interviews
Covers a collection of problems and questions asked at various coding interviews, providing practical preparation for candidates
Regularly updates with potential problems based on conversations with interviewers and candidates, ensuring relevance and up-to-date content
Requires a strong foundation in data structures and algorithms, so learners should ensure they have this knowledge before enrolling
Develops the ability to formulate real-world problems, analyze them, design algorithms, and convert algorithms into tested programs
Teaches how to determine the computational complexity of an algorithm, a crucial skill for optimizing code and solving problems efficiently

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
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Reviews summary

Interview problem solving practice

According to learners, this course focuses on applying existing data structures and algorithms knowledge to solve coding interview problems. Students particularly appreciate the collection of problems relevant to interviews at major tech companies and find it helpful for interview preparation. However, many reviews emphasize that a strong foundation in data structures and algorithms is a crucial prerequisite, as the course does not teach these fundamentals. Some reviewers noted that explanations vary in clarity depending on the specific problem, and a few mentioned that the provided code could be more robust or follow better practices. Overall, it's seen as a valuable resource for practice if you meet the required background.
Excellent for practicing problem-solving skills.
"If you want to practice applying DSA to problems, this course is a solid choice."
"Helped me build confidence by working through many different types of problems."
"It's a good resource primarily for getting hands-on practice after learning the theory elsewhere."
"The core value is the collection of problems to work through."
Covers problems commonly asked in tech interviews.
"The problems covered are highly relevant to actual coding interviews I've faced."
"Good selection of classic interview questions that help you practice different techniques."
"Focuses directly on applying concepts to problems you'd see in interviews, which is exactly what I needed."
"This is great for practicing algorithm application for interviews."
Implementation details or code style could be improved.
"The code examples sometimes feel rushed or don't follow standard conventions."
"Could use more robust test cases or edge case handling in the provided solutions."
"While the logic is correct, the code isn't always presented in the most readable way."
"Some implementations were not what I expected and could be cleaner."
Clarity of problem solutions and approaches differs.
"Some problem explanations are very clear and insightful, while others are harder to follow."
"I found the explanation for Linked Lists helpful, but the Dynamic Programming section was a bit confusing."
"Instructor sometimes skips steps in the thought process, making it difficult to understand the 'why' behind the solution."
"Quality varies from problem to problem; some are well-explained, others less so."
Crucial prerequisite: strong data structures and algorithms knowledge.
"This course is NOT for beginners in DSA. You must have a solid understanding of data structures and algorithms before taking this."
"The instructor clearly states this course does not teach DS&A. If you lack the basics, you will struggle immensely here."
"You really need strong fundamentals already, or you'll be lost trying to follow the problem-solving approaches."
"As stated, this course assumes you already know DSA. It's application, not teaching."

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 Cracking the Coding Interview with these activities:
Review Data Structures and Algorithms
Reinforce your understanding of fundamental data structures and algorithms, which are essential for solving coding interview problems.
Show steps
  • Review common data structures like arrays, linked lists, trees, and graphs.
  • Practice implementing basic algorithms such as sorting and searching.
  • Solve practice problems on platforms like LeetCode or HackerRank.
Read 'Cracking the Coding Interview'
Supplement the course material with the classic 'Cracking the Coding Interview' book to gain a broader perspective on interview preparation.
View Cracking the Coding Interview: 189 Programming... on Amazon
Show steps
  • Read the book cover to cover, paying close attention to the problem-solving strategies.
  • Work through the example problems and try to solve them independently.
  • Review the solutions and understand the reasoning behind them.
LeetCode Grind
Sharpen your problem-solving skills by consistently practicing coding problems on LeetCode, focusing on topics covered in the course.
Show steps
  • Select problems based on data structures and algorithms covered in the course.
  • Solve problems independently, focusing on understanding the underlying concepts.
  • Analyze solutions and optimize for time and space complexity.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Conduct Mock Interviews
Practice your interviewing skills by conducting mock interviews with peers, providing and receiving feedback to improve performance.
Show steps
  • Pair up with a classmate or friend.
  • Take turns interviewing each other, using questions from the course or other resources.
  • Provide constructive feedback on each other's performance.
Mock Interview Platform
Build a mock interview platform to practice and refine your interviewing skills, simulating the real interview environment.
Show steps
  • Design the platform with features like question selection, timer, and code editor.
  • Implement the platform using a programming language of your choice.
  • Test the platform with mock interviews and gather feedback.
Study 'Introduction to Algorithms'
Deepen your understanding of algorithms with 'Introduction to Algorithms' to gain a more theoretical foundation for problem-solving.
View Introduction to Algorithms, fourth edition on Amazon
Show steps
  • Read the relevant chapters on algorithms covered in the course.
  • Work through the examples and exercises to solidify your understanding.
  • Try to apply the algorithms to solve coding interview problems.
Blog Post: My Interview Prep Journey
Reflect on your interview preparation journey by writing a blog post, sharing your experiences, challenges, and strategies for success.
Show steps
  • Outline the key topics you want to cover in your blog post.
  • Write about your experiences, challenges, and strategies for success.
  • Share your blog post on social media or other platforms.

Career center

Learners who complete Cracking the Coding Interview will develop knowledge and skills that may be useful to these careers:
Software Engineer
The role of a Software Engineer involves designing, developing, and testing software applications. This course, centered around cracking the coding interview, prepares you to tackle the algorithmic and problem-solving challenges frequently encountered during the hiring process for Software Engineer positions, particularly at big tech companies. The course hones your ability to analyze problems, design algorithms, and convert them into tested programs. By regularly updating the course with potential problems collected from interviewers and candidates, it provides ongoing support throughout your software development journey. Sharpening your proficiency in data structures and algorithms through the course will help you to succeed as a Software Engineer.
See salaries and explore the career path for Software Engineer
Algorithm Engineer
An Algorithm Engineer designs and implements algorithms for various applications, often focusing on optimizing performance and efficiency. This course on cracking the coding interview will be invaluable, as algorithm design and analysis are core skills tested in interviews for Algorithm Engineer positions. The syllabus, which covers topics such as dynamic programming, searching, sorting, and greedy algorithms, perfectly aligns with the knowledge needed for this role. Furthermore, the course provides a crucial skill: determining the computational complexity of an algorithm, which is vital for an Algorithm Engineer. It also helps you to formulate real-world problems.
See salaries and explore the career path for Algorithm Engineer
Software Developer
A Software Developer builds and maintains software systems, often working with code to create functional applications. This course focuses directly on preparing engineers for software development interviews, furnishing them with a robust collection of problems and questions commonly asked during these interviews. The ability to formulate real-world problems, analyze them, design algorithms, and convert those algorithms into tested programs, as emphasized in the course's learning objectives, aligns precisely with the core responsibilities of a Software Developer. Moreover, the course will sharpen your problem solving and analytical skills as a Software Developer.
See salaries and explore the career path for Software Developer
Web Developer
Web Developers build and maintain websites, often working with front-end and back-end technologies. This course, centered around cracking the coding interview, can be highly valuable, as the concepts of algorithms and data structures are highly relevant in web development. The course's updates with potential problems collected from interviewers and candidates, provides support throughout your software development journey. Sharpening your proficiency in data structures and algorithms through the course will help you to succeed as a Web Developer. Moreover, the ability to analyze problems, design algorithms and convert them into tested programs are applicable to a developing a website.
See salaries and explore the career path for Web Developer
Application Developer
As an Application Developer, you will design, develop, and implement software applications. This course, designed to help engineers crack coding interviews, should be highly beneficial. The course emphasizes the ability to analyze a problem, design an algorithm, and then convert that algorithm to a tested program. These skills are essential for Application Developers. The syllabus, which includes topics like string manipulation, linked lists, stacks, queues, and dynamic programming, provides a strong foundation for tackling development challenges. An Application Developer will also gain insights into handling real-world problems.
See salaries and explore the career path for Application Developer
Data Engineer
The role of a Data Engineer is to build and maintain the infrastructure that allows data to be used effectively within an organization. While this course focuses on coding interviews, the strong foundation in algorithms and data structures it reinforces is directly applicable to the challenges faced by Data Engineers. The ability to analyze problems, design efficient algorithms, and understand computational complexity, all skills honed by this course, are crucial for optimizing data processing pipelines and ensuring data quality. A Data Engineer may find that this course improves their understanding of various computer science concepts.
See salaries and explore the career path for Data Engineer
Technical Lead
A Technical Lead guides a team of developers, making key technical decisions and ensuring code quality. While this course directly targets coding interviews, it helps Technical Leads by reinforcing their understanding of algorithms, data structures, and problem-solving techniques. The ability to analyze problems, design effective algorithms, and understand the computational complexity of solutions are crucial skills for guiding a development team. A Technical Lead may find that the course helps them to better evaluate the technical proposals of their team members. Moreover, the course hones the ability to convert algorithms to tested programs.
See salaries and explore the career path for Technical Lead
Principal Engineer
The work of a Principal Engineer involves making high-level design decisions, mentoring junior engineers, and driving innovation within a software engineering organization. While this course focuses on coding interviews, the training to sharpen problem-solving abilities and algorithmic thinking is beneficial to a Principal Engineer. The course directly helps one to analyze problems, design algorithms, and convert them into tested programs. The skill of determining the computational complexity of an algorithm, which is another focus within the course, is also beneficial for a Principal Engineer. Consider that this course may not be sufficient on its own, as a Principal Engineer typically needs extensive experience and a proven track record.
See salaries and explore the career path for Principal Engineer
Test Engineer
A Test Engineer designs and implements tests to ensure software quality. This course, which focuses on cracking coding interviews, may be helpful as it reinforces fundamental concepts in algorithms and data structures. The course emphasizes the ability to analyze problems and design algorithms, which translates to skills in designing effective test cases and identifying potential bugs. Topics covered in the syllabus, such as searching and sorting, can be valuable for understanding the performance characteristics of software under test. A Test Engineer will also find the course helpful to understand how to validate the approach with test cases.
See salaries and explore the career path for Test Engineer
Database Administrator
The main function of a Database Administrator is to manage and maintain databases, ensuring data integrity and availability. While this course focuses on coding interview preparation and does not directly cover database management, it may be useful due to its emphasis on algorithmic problem-solving and computational complexity analysis. The ability to analyze problems and design efficient solutions, as reinforced by this course, can be applied to optimizing database queries and improving overall database performance. This may be useful for a Database Administrator who needs to work with large datasets and complex queries.
See salaries and explore the career path for Database Administrator
Systems Analyst
A Systems Analyst is tasked with analyzing an organization's computer systems and procedures, and designing solutions to improve efficiency. This course, designed for coding interview preparation, may be of some use in improving a Systems Analyst's understanding of algorithms and data structures. The ability to analyze problems and design efficient solutions is a broadly applicable skill that a Systems Analyst can use to develop recommendations for system improvements. The course's focus on computational complexity may also be valuable for evaluating the performance implications of different system design choices. A Systems Analyst may find this course helpful.
See salaries and explore the career path for Systems Analyst
Product Manager
The role of a Product Manager is to define the vision, strategy, and roadmap for a product. This course, focused on coding interview preparation, may be useful for understanding the technical aspects of software development. While not directly applicable to the day-to-day tasks of a Product Manager, the course's emphasis on problem-solving and algorithmic thinking can provide valuable insights into the development process. This can help a Product Manager communicate more effectively with engineers and make more informed decisions about product features and prioritization. A Product Manager may find that the course improves their understanding of the technical challenges involved in building a product.
See salaries and explore the career path for Product Manager
Project Manager
The job of a Project Manager involves planning, executing, and closing projects, often within a software development context. While this course is primarily aimed at preparing engineers for coding interviews, some of the skills it reinforces, such as problem-solving and analytical thinking, may be useful in project management. The ability to break down complex problems into smaller, manageable tasks and to analyze the potential risks and challenges associated with a project can be informed by the problem-solving techniques taught in the course. Although the connection is not direct, a Project Manager may use this course.
See salaries and explore the career path for Project Manager
IT Support Specialist
An IT Support Specialist provides technical assistance to computer users, troubleshooting hardware and software issues. While this coding interview preparation course might not directly align with the daily tasks of an IT Support Specialist, the problem-solving and analytical skills it cultivates could still be beneficial. The ability to break down complex issues into smaller steps and systematically identify the root cause of a problem can be useful in troubleshooting technical issues. The course centers on your ability to analyze a problem, design the algorithm and convert the algorithm to a tested Program.
See salaries and explore the career path for IT Support Specialist
Technical Writer
A Technical Writer creates documentation for software and hardware, including user manuals, API documentation, and tutorials. While this course focusing on coding interview preparation may not seem immediately relevant, it may be helpful for understanding the underlying technical concepts that Technical Writers need to explain. The problem-solving and analytical skills reinforced by the course may improve a Technical Writer's comprehension of complex code and algorithms, enabling them to produce more accurate and informative documentation. However, the connection is somewhat indirect for a Technical Writer.
See salaries and explore the career path for Technical Writer

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Cracking the Coding Interview.
Cracking the Coding Interview
Save
Comprehensive guide to preparing for coding interviews, covering a wide range of data structures and algorithms. It provides detailed solutions to common interview questions, along with strategies for problem-solving and algorithm design. Given the course's focus on cracking coding interviews at big tech companies, this book serves as an excellent companion and reference, offering a wealth of practice problems and insights into the interview process. It is commonly used by job seekers and students alike.
Cracking the Coding Interview: 189 Programming...
Paperback
$$
Cracking the Coding Interview : 189 Programming...
Paperback
$$
Cracking the Coding Interview: 150 Programming...
Paperback
$$
Cracking the Coding Interview (Indian Edition)
Hardcover
$$
Cover image
Introduction to Algorithms, fourth edition
Save
Classic and comprehensive textbook on algorithms, covering fundamental data structures, sorting, searching, graph algorithms, and dynamic programming. It provides rigorous analysis and clear explanations of algorithms, making it an excellent resource for understanding the theoretical foundations of computer science. While the course focuses on applying data structures and algorithms, this book provides the necessary background knowledge and a deeper understanding of the underlying principles. It is often used as a textbook in university-level algorithms courses.
Introduction to Algorithms, fourth edition
Hardcover
$$$$
Introduction to Algorithms, fourth edition
Kindle Edition
$$$

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Course image
Rating
4.2 Filled star Filled star Filled star Filled star Empty star
Effort
11 total hours
Via
Udemy
Instructor
Harshith Gandham
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Focuses on applying data structures and algorithms to solve problems, which is essential for performing well in coding interviews
Covers a collection of problems and questions asked at various coding interviews, providing practical preparation for candidates
Regularly updates with potential problems based on conversations with interviewers and candidates, ensuring relevance and up-to-date content
Requires a strong foundation in data structures and algorithms, so learners should ensure they have this knowledge before enrolling
Develops the ability to formulate real-world problems, analyze them, design algorithms, and convert algorithms into tested programs
Teaches how to determine the computational complexity of an algorithm, a crucial skill for optimizing code and solving problems efficiently
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