Coding Interview Bootcamp: Algorithms (Java, Python, C++) from Udemy

This course will help you systematically prepare for a coding interview in a short amount of time(Questions Classification + Solution Templates + Coding Style)

The price for this course is relatively low. Because this course is aimed to help people get an offer during the pandemic

You will know the key algorithms/date structures for most tech companies coding interview

You will know what kind of questions you must practice and what questions you can ignore.

You will know how will your interviewer rate your performance (I have interviewed more than 100 candidates).

In each chapter, we will cover 10 - 15 questions in our videos. During our class, I will pick one of the most popular languages Java as our sample solution to the questions. In addition, I will also share all solutions to those questions in Python and C++. Language is not important, our logic and our algorithms are more critical.

I will also share the link to questions on LeetCode so that you can practice by yourself.

At the end of each chapter, there are some reading materials. Please read them carefully, they will help you build a deeper understanding of our coding questions.

What's inside

Learning objectives

Systematically prepare coding interview
Proficient in important data structures/algorithms

Be ready for majority of tech companies interview

Systematically prepare coding interview
Proficient in important data structures/algorithms
Be ready for majority of tech companies interview

Syllabus

Be familiar with coding interview key points

Read Me

Introduction to this coding course syllabus and my background
The reasons why this course will help you get an offer as a software engineer
How to prepare for a coding interview
How to get a good review for your coding interview
Some real coding questions and the right way to approach a solution

Longest Palindromic Substring Solutions

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers key algorithms and data structures, which are essential for technical interviews at most tech companies

Includes solutions in Java, Python, and C++, which are among the most popular languages used in software engineering

Explores binary search, which is a fundamental algorithm for solving many coding interview questions efficiently

Examines breadth-first search (BFS) and topological sorting, which are common techniques for graph-related interview questions

Requires familiarity with coding interview key points, which may necessitate additional preparation for some learners

Includes links to practice questions on LeetCode, which may require learners to create an account and navigate a third-party platform

Reviews summary

Structured approach to coding interviews

According to learners, this course offers a highly structured and systematic approach to preparing for coding interviews, particularly through its focus on question classification and solution templates. Students frequently praise the clear explanations provided by the instructor and find the content highly relevant for actual interviews, with many crediting the course for boosting their confidence and helping them land job offers. The availability of solutions in Java, Python, and C++ is seen as a significant benefit. While overwhelmingly positive, some reviewers note that the pace can be fast on advanced topics and that the course is best suited for those with some basic programming background, suggesting it might not be ideal for absolute beginners.

Best for those with basic coding.

"It's probably best if you already have a basic grasp of algorithms; it moves pretty fast."

"I would say it's geared towards someone who already has some foundational knowledge in data structures and algorithms, not complete beginners."

"Not for absolute beginners, need some programming basics."

"Requires familiarity with at least one language."

"Assumes you know basic data structures."

Solutions in Java, Python, C++.

"Having solutions in Java, Python, and C++ is a massive bonus."

"Appreciate having solutions in Java and Python."

"Useful to see implementations in different languages."

"I used the C++ solutions for practice."

"I love that solutions are provided in multiple languages."

Instructor breaks down complex topics.

"The explanations are clear, concise, and the instructor does a great job breaking down complex algorithms."

"Lectures are clear and easy to follow."

"The explanations are top-notch. The instructor is knowledgeable and easy to listen to."

"The instructor is clear, and the material is well-organized."

"The instructor is articulate and provides clear solutions."

Systematic approach using templates.

"The structured approach to tackling coding interview questions by classifying them into templates is incredibly effective."

"This course structure made complex topics manageable."

"The template method is useful."

"The systematic approach really helps organize study."

"I followed the template system which boosted my confidence."

Content is practical and job-focused.

"Highly recommended for anyone serious about interview prep."

"It focuses on the *types* of questions you'll actually get."

"Covered exactly the types of questions asked in interviews."

"This is practical knowledge for getting a job."

"Helped me land a position at a tech company. Worth every penny."

"This course is a game changer for interview prep."

Some topics may need deeper study.

"I found the pace a bit fast on some advanced topics, and I had to rewatch lectures or find external resources..."

"However, I felt it lacked depth in certain areas. For example, the dynamic programming section could be more detailed."

"Could go deeper into certain advanced algorithms."

"Some explanations felt a bit rushed for complex areas."

"I had to supplement some topics with other resources."

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 Coding Interview Bootcamp: Algorithms (Java, Python, C++) with these activities:

Review Data Structures

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Solidify your understanding of fundamental data structures before the course begins. This will make it easier to grasp the more advanced concepts covered in the bootcamp.

Browse courses on Data Structures

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Read introductory materials on each data structure.
Implement basic operations for each data structure.
Solve simple problems using each data structure.

Cracking the Coding Interview

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Use this book as a reference to supplement the course material and gain a deeper understanding of coding interview concepts. It provides a structured approach to problem-solving and helps you develop effective coding habits.

View Cracking the Coding Interview on Amazon

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Read relevant chapters before each course module.
Work through the practice problems in the book.
Compare your solutions with the book's solutions.

LeetCode Easy Problems

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Practice solving easy-level LeetCode problems to reinforce your understanding of algorithms and data structures. This will help you build confidence and improve your problem-solving skills.

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Identify easy-level problems on LeetCode.
Solve at least 3-5 problems per week.
Analyze solutions and optimize your code.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Help Others on Forums

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Reinforce your understanding by helping other students on coding interview forums. Explaining concepts to others will solidify your own knowledge.

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Find online forums related to coding interviews.
Answer questions and provide helpful explanations.
Review your answers to ensure accuracy.

Create a Coding Interview Cheatsheet

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Compile a cheatsheet of important algorithms, data structures, and coding interview tips. This will help you consolidate your knowledge and have a quick reference guide during practice sessions.

Show steps

Review the course materials and identify key concepts.
Organize the information into a concise and easy-to-read format.
Include code snippets and examples.

Implement Common Algorithms

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Start a project to implement common algorithms from scratch. This will deepen your understanding of how these algorithms work and improve your coding skills.

Show steps

Choose a set of algorithms to implement.
Write code for each algorithm in Java, Python, or C++.
Test your implementations thoroughly.

Introduction to Algorithms

Show steps

Use this book to gain a deeper understanding of the theoretical foundations of algorithms. It provides a more rigorous treatment of the topics covered in the course.

View Introduction to Algorithms, fourth edition on Amazon

Show steps

Read relevant chapters after completing each course module.
Work through the exercises in the book.
Compare your understanding with the book's explanations.

Career center

Learners who complete Coding Interview Bootcamp: Algorithms (Java, Python, C++) will develop knowledge and skills that may be useful to these careers:

Software Engineer

A software engineer develops, maintains, and improves software applications. This role requires a strong understanding of algorithms and data structures, which this course directly addresses. The course emphasizes key programming concepts and common interview questions, equipping learners with the practical skills to succeed in real-world coding scenarios. Understanding how interviewers assess a candidate's performance, as taught in this course, is beneficial for any prospective software engineer.

See salaries and explore the career path for Software Engineer

Algorithm Developer

An algorithm developer designs and implements algorithms for various applications. The focus of this course on algorithms and data structures directly aligns with the core responsibilities of an algorithm developer. By practicing a range of coding questions, as done in this course, learners gain a deeper grasp of algorithmic problem solving. The course's systematic approach to interview preparation mirrors the methodical approach needed for algorithm development, making it highly suitable for anyone interested in this field.

See salaries and explore the career path for Algorithm Developer

Backend Developer

Backend developers create the server side of applications and databases. Proficiency in data structures and algorithms is essential for optimizing performance and efficiency, core components discussed in this course. This course's emphasis on coding best practices and solutions for common problems closely matches the day-to-day work of a backend developer. The interview preparation aspect is beneficial since many backend roles involve technical assessments.

See salaries and explore the career path for Backend Developer

Application Developer

Application developers create and maintain software applications for various platforms. A strong focus of the course is on core algorithms and data structures, which are fundamental to application development. The course provides practice with interview-style coding questions and offers solutions in Java, Python, and C++, all languages commonly used in application development. The systematic approach to interview preparation and the focus on logic and algorithm design are both highly relevant for application developers.

See salaries and explore the career path for Application Developer

Data Scientist

Data scientists use statistical methods and machine learning to extract insights from data. This role benefits from a strong foundation in algorithms and problem solving. While data science involves many other skills such as statistical modeling, the course's focus on core algorithms like binary search and graph traversal will help build important fundamentals. The coding interview practice is relevant as these positions often require strong coding skills..

See salaries and explore the career path for Data Scientist

Mobile Developer

Mobile developers build applications for mobile devices. They require a strong understanding of algorithms and data structures to optimize app performance, skills that this course helps sharpen. The course's focus on interview questions, such as binary search and graph traversals, provides a strong foundation for developers. The coding practice in the course is directly applicable to the technical interviews that mobile developers often face.

See salaries and explore the career path for Mobile Developer

Embedded Systems Engineer

Embedded systems engineers work on the hardware and software that powers devices. They require a solid grasp of algorithms and data structures, which this course addresses directly. The course's emphasis on coding problem solving, particularly in languages such as C++, is highly relevant for this role. The focus on efficient algorithmic design within this course will be useful in optimizing system performance.

See salaries and explore the career path for Embedded Systems Engineer

Machine Learning Engineer

Machine learning engineers develop algorithms and systems that enable machines to learn. The data structures and algorithms taught in this course are foundational to machine learning. The course's interview-focused approach will aid learners who seek to enter this role as practical coding skills are important in this field. The course provides a strong base for the algorithmic thinking required by machine learning engineers.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

A quantitative analyst, often in the financial industry, develops and implements models by using mathematical and programming tools. A solid grasp of algorithms is essential for efficiently processing and analyzing data. While quantitative finance requires more technical training, this course helps build important fundamentals in data structures. This may be useful for those considering a future role in quantitative analysis.

See salaries and explore the career path for Quantitative Analyst

Game Developer

Game developers create video games. This role requires a strong base in computer science, including algorithms and data structures. Because this course focuses on these fundamental topics and provides practice with coding problems, it helps build essential knowledge. This course may be useful for those seeking to enter the field of game development.

See salaries and explore the career path for Game Developer

Robotics Engineer

A robotics engineer designs, builds, and programs robots. This position benefits from a solid background in computer science, which includes efficient coding and algorithms. This course provides a foundation in these core elements, through a systematic interview preparation guide and practice in languages such as C++, which is frequently used in robotics. This course may be useful for the robotics field.

See salaries and explore the career path for Robotics Engineer

Technical Team Lead

A technical team lead manages a team of engineers, often directing strategy for a software project. While this role is more advanced, requiring significant field experience, this course helps build a strong base during training, providing an understanding of data structures, algorithms, and practical coding solutions. Because team leads often need to mentor other engineers, this course may be helpful during an individual's training.

See salaries and explore the career path for Technical Team Lead

Database Administrator

Database administrators manage and maintain databases, and though they don't directly build algorithms, they do require a solid grasp of data structures and the efficiency of data access. This course will help build a foundation of concepts used for efficient database design. While not a specific focus of the role, these concepts are valuable for those wishing to enter the database administration field.

See salaries and explore the career path for Database Administrator

Technical Writer

Technical writers create documentation for software and other technical products. Although this field emphasizes communication, a foundational understanding of the underlying technology is beneficial. While not directly used in the role itself, knowledge from this course helps the writer understand the systems they document. This may be useful for learners who wish to become technical writers.

See salaries and explore the career path for Technical Writer

Quality Assurance Engineer

Quality assurance engineers test software to identify bugs and ensure quality. While this role does not involve directly building algorithms, a strong understanding of software development principles is beneficial. The knowledge gained from this course may help an engineer better understand the code they test. This course may be helpful for this role, since the problem-solving skills cultivated in this course are useful in software testing.

See salaries and explore the career path for Quality Assurance Engineer

Coding Interview Bootcamp

Algorithms (Java, Python, C++)

What's inside

Learning objectives

Syllabus

Traffic lights

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Reviews summary

Structured approach to coding interviews

Activities

Career center

Reading list

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