Grokking Dynamic Programming Patterns: Coding Interviews from Udemy

Welcome to this course - "Dynamic Programming Algorithms for Coding Interviews".

This course on Dynamic Programming Coding Interview Algorithms will teach you the advanced algorithms and data structures needed for coding interviews and technical interviews. You’ll learn how to solve dynamic programming questions, and you’ll master the fundamentals of data structures and algorithms. You’ll also get an in-depth understanding of Grokking Dynamic Programming Interview Patterns for Technical Interviews, and you’ll learn the skills needed to solve the toughest coding interview questions. Finally, you’ll get hands-on experience with Java Dynamic Programming questions and Algorithms for Coding Interviews, and you’ll Master Dynamic Programming Coding Interview Algorithms and ace your next job interview. This course will teach you the fundamentals of dynamic programming and how to use them to solve complex coding interview questions quickly and confidently. You will learn the fundamentals of data structures and algorithms, as well as how to apply them to coding interview questions. You will also learn to use Java and dynamic programming techniques to solve dynamic programming questions related to Google, LeetCode, and other technical interviews. You will also learn the best practices for mastering the coding interview data structures and algorithms, as well as how to review and apply them in the real world.

Are you struggling with DP Problem?

If you often struggle with dynamic programming problems despite your understanding of data structures and algorithms, this course is designed to bridge that gap. It provides a comprehensive understanding of critical Dynamic Programming concepts, empowering you to excel in competitive coding and interviews.

In addition to the mentioned problems, the "Dynamic Programming Algorithms Coding Interviews" course covers several more essential dynamic programming problems. Through detailed explanations, code implementations, and step-by-step walkthroughs, you'll gain a deep understanding of each problem's solution.

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Course Feedback by Student:

Asif Khondokar

Amazing course. This is the best Dynamic Programming Course on Udemy. Thanks for creating this course Md. A. Barik. I got job offer & you help me a lot. Thanks again

What's inside

Learning objectives

Dynamic programming algorithms pattern
Step by step approach to solve almost any dynamic programming problem
Two approaches of dynamic programming algorithms: memoization (top-down) and tabulation (bottom-up)

Develop strong understanding in dynamic programming
Be able to understand when to use dynamic programming
Practice most frequently asked dynamic programming questions

Dynamic programming algorithms pattern
Step by step approach to solve almost any dynamic programming problem
Two approaches of dynamic programming algorithms: memoization (top-down) and tabulation (bottom-up)
Develop strong understanding in dynamic programming
Be able to understand when to use dynamic programming
Practice most frequently asked dynamic programming questions

Syllabus

Introduction

Revise Code

##### Pattern 1# [0/1 Knapsack Pattern]

Pattern 1 -- Problems

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Focuses on dynamic programming, which is a common topic in coding interviews at tech companies

Covers both memoization (top-down) and tabulation (bottom-up) approaches, providing a comprehensive understanding of dynamic programming techniques

Uses Java for code implementations, which is widely used in enterprise environments and backend development

Includes hands-on experience with dynamic programming questions related to Google and LeetCode, which are valuable for interview preparation

Requires a prior understanding of data structures and algorithms, suggesting it is designed for those with some programming experience

Explores space optimization techniques, such as 1D tabulation and constant space solutions, which are important for efficient algorithm design

Reviews summary

Dynamic programming patterns for interviews

According to students, this course offers a structured, pattern-based approach to mastering dynamic programming for coding interviews. Learners say it provides step-by-step explanations for frequently asked problems, covering both top-down (memoization) and bottom-up (tabulation) methods. The course content is seen as highly relevant for technical interviews, with one reviewer explicitly stating it helped them get a job offer. While effective for interview prep, some foundational knowledge might be beneficial to fully grasp the concepts.

Explains both top-down and bottom-up DP.

"Learning both memoization and tabulation for the same problems solidified my understanding."

"The comparison and explanation of both the top-down and bottom-up methods is a major strength."

"I now understand when and how to apply both recursive (top-down) and iterative (bottom-up) DP."

Provides detailed, step-by-step problem solving.

"Each problem is explained step-by-step, which makes understanding the logic much clearer."

"The walkthroughs for each problem, covering both approaches, are incredibly helpful."

"I appreciated the detailed explanations provided for solving interview-style DP questions."

Uses a structured approach to DP problems.

"The course breaks down DP problems into recognizable patterns, making them easier to approach."

"I found the pattern approach really helped me categorize and solve different types of dynamic programming questions."

"Applying the specific patterns taught here simplifies complex problems."

Highly relevant for coding interview preparation.

"Amazing course. This is the best Dynamic Programming Course on Udemy. Thanks for creating this course..."

"I got job offer & you help me a lot. Thanks again"

"This course covers exactly the kind of dynamic programming problems you encounter in technical interviews."

Assumes some prior basic DSA knowledge.

"While it teaches DP from scratch, having some basic data structures and algorithms knowledge helps a lot."

"Beginners might find it moves quickly if they lack prior DSA foundation."

"This course is best if you already have a basic grasp of recursion and arrays/tables."

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 Grokking Dynamic Programming Patterns: Coding Interviews with these activities:

Review Recursion Fundamentals

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Strengthen your understanding of recursion, as dynamic programming relies heavily on recursive thinking. Reviewing recursion will make understanding the top-down (memoization) approach easier.

Browse courses on Recursion

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Study the definition of recursion and its applications.
Practice writing simple recursive functions.
Trace the execution of recursive functions to understand the call stack.

Review 'Introduction to Algorithms' by Cormen et al.

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Consult 'Introduction to Algorithms' for a deeper understanding of the theoretical underpinnings of dynamic programming. This will help you grasp the more complex aspects of the course.

View Introduction to Algorithms, fourth edition on Amazon

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Locate the dynamic programming chapter in the book.
Read the chapter and take notes on key concepts.
Work through the examples provided in the book.

Solve Basic Dynamic Programming Problems on LeetCode

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Practice solving dynamic programming problems on platforms like LeetCode to reinforce the concepts learned in the course. Focus on problems that align with the patterns covered in the syllabus.

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Identify dynamic programming problems on LeetCode.
Attempt to solve the problems using the patterns learned.
Analyze the solutions and optimize your code.

Four other activities

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Show all seven activities

Review 'Cracking the Coding Interview' by Gayle Laakmann McDowell

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Use 'Cracking the Coding Interview' to prepare for dynamic programming questions in coding interviews. This will help you apply your knowledge in a practical setting.

View Cracking the Coding Interview: 189 Programming... on Amazon

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Locate the dynamic programming section in the book.
Study the examples and solutions provided.
Practice solving the problems on your own.

Create a Blog Post Explaining a Dynamic Programming Pattern

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Write a blog post explaining one of the dynamic programming patterns covered in the course. This will force you to solidify your understanding and communicate it effectively to others.

Show steps

Choose a dynamic programming pattern from the course.
Research the pattern and gather relevant examples.
Write a clear and concise explanation of the pattern.
Include code examples and diagrams to illustrate the pattern.
Publish the blog post on a platform like Medium or your personal website.

Implement a Dynamic Programming Solution Visualizer

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Develop a tool that visualizes the steps involved in solving a dynamic programming problem. This will deepen your understanding of how the algorithm works and improve your debugging skills.

Show steps

Choose a dynamic programming problem to visualize.
Design the visual representation of the problem and its solution.
Implement the visualizer using a programming language of your choice.
Test the visualizer with different inputs and scenarios.

Help Other Students in Online Forums

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Reinforce your understanding by helping other students with their dynamic programming questions in online forums. Explaining concepts to others is a great way to solidify your own knowledge.

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Find online forums or communities related to dynamic programming.
Browse the forums for questions related to the course material.
Provide helpful and accurate answers to the questions.

Career center

Learners who complete Grokking Dynamic Programming Patterns: Coding Interviews will develop knowledge and skills that may be useful to these careers:

Algorithm Developer

An Algorithm Developer is responsible for designing and implementing algorithms to solve specific problems. This may involve using dynamic programming techniques to optimize performance and efficiency. This course focuses on dynamic programming algorithms, providing a comprehensive toolkit for an Algorithm Developer. The curriculum's emphasis on grokking dynamic programming interview patterns aligns perfectly with the need to design optimal algorithms. This course can help Algorithm Developers to refine their skills and tackle complex problems.

See salaries and explore the career path for Algorithm Developer

Software Engineer

The role of a Software Engineer involves designing, developing, and testing software applications. This often requires solving complex problems using algorithms and data structures. This course, with its focus on dynamic programming algorithms and data structures, helps build a foundation for tackling these challenges efficiently. The course content on dynamic programming patterns directly translates into skills needed to optimize code and improve application performance, skills frequently used by the Software Engineer. The course's coverage of essential algorithms and data structures addresses the core needs of the Software Engineer, making this course particularly valuable.

See salaries and explore the career path for Software Engineer

Competitive Programmer

Competitive Programmers participate in programming contests, solving challenging algorithmic problems under time constraints. Dynamic programming is a frequently tested topic in these contests. This course directly addresses the needs of a Competitive Programmer, providing in-depth knowledge of dynamic programming algorithms and data structures. The course's focus on solving coding interview questions translates directly into improved performance in competitive programming. This course may also help those who wish to improve their problem-solving skills.

See salaries and explore the career path for Competitive Programmer

Data Scientist

A Data Scientist uses statistical methods, machine learning algorithms, and data visualization techniques to extract insights from data. Many data science problems, such as optimization and resource allocation, can be efficiently solved using dynamic programming. This course helps a Data Scientist understand and implement dynamic programming solutions for these complex problems. The dynamic programming pattern recognition taught in the course, in particular, may be useful. With its emphasis on hands-on experience and problem-solving, this course equips data scientists with practical tools to approach real-world challenges.

See salaries and explore the career path for Data Scientist

Backend Engineer

Backend Engineers are responsible for the server-side logic and databases that power web applications. They design, implement, and maintain the application’s architecture, focusing on scalability, performance, and reliability. The role of the Backend Engineer will often require an understanding of algorithms and data structures. This course on dynamic programming helps Backend Engineers optimize and maintain application performance. This course will help the Backend Engineer create web applications that are effective and efficient.

See salaries and explore the career path for Backend Engineer

Performance Engineer

Performance Engineers focus on optimizing the speed and efficiency of software systems. Dynamic programming techniques help identify and eliminate bottlenecks. This course helps Performance Engineers develop expertise in optimizing algorithms. The curriculum's emphasis on dynamic programming patterns provides Performance Engineers with a valuable toolkit for improving software performance. With its emphasis on hands-on experience and practical problem-solving, this course may be valuable.

See salaries and explore the career path for Performance Engineer

Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models. Some machine learning problems can be framed as optimization problems that can be solved using dynamic programming. This course on dynamic programming algorithms helps Machine Learning Engineers understand and apply optimization techniques. Machine learning engineers often need to create algorithms optimized for speed and memory, and the dynamic programming approaches from this course may be useful for that purpose. The course's emphasis on hands-on problem-solving provides the practical experience needed to excel in machine learning engineering.

See salaries and explore the career path for Machine Learning Engineer

Game Developer

Game Developers create video games, often requiring efficient algorithms for game logic, artificial intelligence, and pathfinding. Dynamic programming may be used to solve optimization problems in game development. This course provides Game Developers with a solid foundation in dynamic programming algorithms. The curriculum's emphasis on hands-on exercises allows Game Developers to implement and test these algorithms in a practical setting. Those working as Game Developers may find this dynamic programming course to be useful.

See salaries and explore the career path for Game Developer

Quantitative Analyst

Quantitative Analysts, often working in the finance industry, use mathematical and statistical methods to develop trading strategies and manage risk. Some financial models rely on dynamic programming techniques for optimization. This course in dynamic programming helps Quantitative Analysts understand and implement these models effectively. The ability to identify and apply dynamic programming patterns, as taught in the course, is particularly valuable in this field. For those working as Quantitative Analysts this course on dynamic programming may be useful.

See salaries and explore the career path for Quantitative Analyst

Robotics Engineer

Robotics Engineers design, build, and program robots. Path planning and optimization are critical aspects of robotics, where dynamic programming may be used to find optimal solutions. This course in dynamic programming algorithms may help Robotics Engineers develop efficient control systems for robots. The course's focus on problem-solving and algorithm design translates directly into the skills needed to program robots effectively. This course may be useful for Robotics Engineers who are looking to improve their skills.

See salaries and explore the career path for Robotics Engineer

Full-Stack Developer

Full Stack Developers work on both front-end and back-end development, requiring a broad range of technical skills. While dynamic programming is more commonly used in back-end development, understanding its concepts can help Full Stack Developers write more efficient code. This course provides a solid foundation in dynamic programming principles. The skills learned in this course translate into improved problem-solving abilities across the entire stack. This course on dynamic programming may be valuable.

See salaries and explore the career path for Full-Stack Developer

Technical Lead

A Technical Lead guides a team of software engineers, providing technical expertise and overseeing project development. A strong understanding of algorithms and data structures, including dynamic programming, is essential for making informed decisions about architecture and design. This course on dynamic programming may help Technical Leads enhance their technical skills. By understanding dynamic programming patterns, the Technical Lead can help the team design systems that are more efficient, robust, and scalable. This course may be useful for those who are in a leadership position.

See salaries and explore the career path for Technical Lead

Data Engineer

Data Engineers build and maintain data pipelines, ensuring data is accessible and reliable for analysis. They may need to optimize data processing workflows. While not always directly applicable, some data engineering problems can benefit from dynamic programming techniques. This course may help Data Engineers understand these techniques and apply them where appropriate. In particular, the skills learned in this course can help Data Engineers optimize their data pipelines. This course may be useful for Data Engineers wishing to broaden their skills.

See salaries and explore the career path for Data Engineer

Software Architect

A Software Architect is responsible for designing the overall structure of a software system. They must consider factors such as scalability, maintainability, and performance. Dynamic programming helps Software Architects make informed decisions about algorithm selection and optimization. This course may help Software Architects recognize and apply dynamic programming principles in system design. The insights gained from this course contribute to the creation of more robust and efficient software systems.

See salaries and explore the career path for Software Architect

Database Administrator

Database Administrators (DBAs) are responsible for managing and maintaining databases, ensuring data integrity, security, and availability. While dynamic programming is not a core skill for most DBA tasks, some advanced database optimization techniques use dynamic programming concepts. This course may help Database Administrators understand these optimization strategies and apply them when appropriate. The insights gained from the course can contribute to improved database performance and efficiency. This course in dynamic programming may be useful.

See salaries and explore the career path for Database Administrator

Grokking Dynamic Programming Patterns

Coding Interviews

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What's inside

Learning objectives

Syllabus

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Reviews summary

Dynamic programming patterns for interviews

Activities

Career center

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