Dynamic Programming - I from Udemy

What is the best way to understand Dynamic Programming? Shall I directly jump to the problems or spent ample of time in understanding the underlying theory? How can I frame my thought process to achieve those elegant solutions by myself?

Are these some of the questions that come to your mind?

If yes, then you are reading the description of the perfect course you intended for.

If you observe the recent trends, dynamic programming or DP(what most people like to call it) forms a substantial part of any coding interview especially for the Tech Giants like Apple, Google, Facebook etc.

We have spent a great amount of time collecting the most important interview problems that are essential and inevitable for making a firm base in DP.

In this course you will learn how to approach a DP problem and visualize the so called "sophisticated solution" for it. There are many problems discussed in this course which are of varying difficulty levels ranging from easy to medium level. And for each problem we have followed the same strategy to explain it. Firstly, we have the problem statement part where we clearly state the problem with a practical example. Then we have the intuition part where we start building our logic behind the approach by figuring out some patterns using our common sense and mental aptitude. Finally we have the pseudo-code and the sample illustration part which completes the whole journey. We believe this consistency in our approach will help the students to understand, visualize and conceptualize the problem solving approach firmly. By the end of this course he/she would be in a great shape to tackle a DP problem.

We will be moving at a slow and a steady pace introducing the main concept behind DP followed by example problems so that you can visualize and apply what you have learnt.

For students who are interested in practical implementation of the algorithm discussed in the video, we have provided C++ and Java codes as an additional resource.

Along with that, each problem is followed by a quiz or a coding assignment which we heavily insist everyone to try. These quizzes and coding assignments are there to check whether you have imbibed the true essence of the concept and are ready to apply it in any similar type of problem. We have provided the true solutions as well for the students to verify theirs.

So what are you waiting for? Just go ahead and enroll for this easy to understand course and get ready to nail those Tech-Giants coding interviews by mastering the art of solving a DP problem.

What's inside

Learning objectives

Be able to visualize and understand most of the dynamic programming problems.
Develop a strong intuition for any kind of dynamic programming problem when approaching to solve new problems.

Understand what kind of questions are asked in coding interviews.
Gain confidence for the coding interviews.

Be able to visualize and understand most of the dynamic programming problems.
Develop a strong intuition for any kind of dynamic programming problem when approaching to solve new problems.
Understand what kind of questions are asked in coding interviews.
Gain confidence for the coding interviews.

Syllabus

Learn the underlying theory behind Dynamic programming with a famous example of Fibonacci Series.

Introduction to Dynamic Programming

Students will be able to visualize and solve many famous programming interview problems

Congratulations on completing the course! We hope you had a rewarding journey with this course and it brought you in a solid shape to tackle the Dynamic Programming section of the coding interviews. We had put our sincere efforts in making this a well-balanced, top-quality, concise and an easy to understand course and we believe it served its purpose.

Just like Dynamic Programming, 'Trees' is another very crucial topic to master for cracking the coding interviews. Apart from the coding interviews, studying trees is of uttermost importance in your journey to become a proficient programmer as they form the most fundamental data-structures that have countless practical applications. We would, therefore, highly recommend all our algorithm enthusiasts especially those who are really serious about interview preparation to conceptualize and understand 'Trees' and boost up your confidence by solving the most frequently encountered Trees Interview Problems.

Keeping this in mind we have recently launched a course on Tree Data-Structures and Algorithms. The course is currently the highest rated course on the platform in its category. We have spent a great amount of time in developing and organizing the content of the course taking into consideration that the learning should be as fluid and smooth as possible just like DP. The course features a thorough and an in-depth coverage of theory followed by a great collection of solved interview problems as well as well-chosen brain twister quizzes and coding assignments along with their true solutions (C++ and Java codes).

Feel free to check out our course <coupon> for just 9.99$ which is actually the lowest price that you can ever get it on Udemy.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Focuses on dynamic programming, a topic frequently encountered in coding interviews, especially for positions at major tech companies

Employs a consistent problem-solving strategy, including problem statements, intuition building, pseudo-code, and sample illustrations, to aid understanding and visualization

Includes quizzes and coding assignments after each problem to reinforce learning and assess the ability to apply concepts to similar problems

Provides C++ and Java code implementations as additional resources for practical application of the algorithms discussed

Recommends a follow-up course on Tree Data-Structures and Algorithms, suggesting that learners may need to take multiple courses to prepare for interviews

Reviews summary

Intuitive approach to dynamic programming

According to learners, this course provides a strong foundation in dynamic programming, particularly focusing on building intuition and visualizing the problem-solving process. Students appreciate the step-by-step approach used for solving example problems, which range from easy to medium difficulty. The inclusion of quizzes and coding assignments with provided code solutions is seen as a valuable resource for practice and reinforcing concepts. While many find the course helpful for coding interview preparation, some note that the pace can be slow initially or that more challenging problems could be included for advanced learners. Overall, it is frequently described as a well-structured and effective introduction to DP.

Starts slow; difficulty varies.

"The pace is slow and steady initially, which is great for beginners, but might be too slow for some."

"Problems range from easy to medium, which is good, but I wish there were more hard problems."

"Some sections felt a bit rushed while others were very slow."

"The transition from easy to medium problems feels natural, but a step up in difficulty would be beneficial."

"Suitable for beginners to DP, but more advanced learners might find it too basic."

Helpful practice with code solutions.

"The quizzes and coding assignments are essential for practice and checking understanding."

"Providing C++ and Java code solutions is a great resource."

"I found the coding assignments particularly useful for applying what I learned."

"Good selection of practice problems to reinforce the concepts."

"The assignments truly test if you've grasped the essence of the concept."

Good for preparing for coding interviews.

"This course covers many standard DP problems encountered in technical interviews."

"Highly relevant for coding interview preparation at tech companies."

"Gave me the confidence to tackle DP questions in interviews."

"The problems are well-chosen for interview practice."

"It seems well-aligned with the types of DP problems asked in interviews."

Offers a clear, step-by-step method for problems.

"The consistent strategy of problem statement, intuition, pseudocode, and illustration is very effective."

"I liked the structured way each problem was broken down; it made complex ideas manageable."

"The method taught for solving problems step-by-step is highly valuable."

"Following the same approach for every problem really helped solidify my understanding."

"The detailed walkthroughs of problems using the proposed method are very helpful."

Helps develop core intuition for DP problems.

"The course does a great job of building intuition before diving into the code. This is exactly what I needed."

"I really appreciate how the instructor focuses on the thought process and intuition behind DP solutions."

"This course is amazing at making you understand the underlying logic of DP problems. Intuition is key here."

"It helped me develop a strong intuition for approaching and solving DP problems."

"The focus on intuition building is a major plus for this course."

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 Dynamic Programming - I with these activities:

Review Recursion Fundamentals

Show steps

Strengthen your understanding of recursion, a foundational concept for dynamic programming. Refreshing this knowledge will make grasping the recursive nature of DP problems easier.

Browse courses on Recursion

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Review the definition of recursion and its components.
Practice writing simple recursive functions.
Trace the execution of recursive calls using a call stack.

Read 'Cracking the Coding Interview'

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Supplement your learning with a widely-used resource for coding interview preparation. This book provides a broader context for dynamic programming within the larger landscape of algorithms and data structures.

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

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Read the chapters related to dynamic programming.
Solve the dynamic programming problems presented in the book.
Compare your solutions with the book's solutions.

Solve DP problems on LeetCode

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Reinforce your understanding of dynamic programming by solving a variety of problems on LeetCode. This will help you develop your problem-solving skills and improve your coding abilities.

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

Three other activities

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Implement a DP Solution for a Real-World Problem

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Apply your dynamic programming knowledge to solve a real-world problem. This will help you solidify your understanding of the concepts and develop your problem-solving skills.

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Identify a real-world problem that can be solved using dynamic programming.
Design a dynamic programming solution for the problem.
Implement the solution in a programming language of your choice.
Test and debug your implementation.

Create a DP Problem Explanation Video

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Solidify your understanding by explaining a dynamic programming problem in a video format. Teaching others is a great way to reinforce your own knowledge.

Show steps

Choose a dynamic programming problem to explain.
Prepare a clear and concise explanation of the problem and its solution.
Record a video explaining the problem and its solution.
Share your video with others and solicit feedback.

Study 'Introduction to Algorithms' (CLRS)

Show steps

Deepen your understanding of dynamic programming with a rigorous treatment of the subject. This book provides a theoretical foundation for the concepts covered in the course.

View Introduction to Algorithms, fourth edition on Amazon

Show steps

Read the chapters related to dynamic programming in CLRS.
Work through the examples and exercises in the book.
Compare the book's approach to dynamic programming with the course's approach.

Career center

Learners who complete Dynamic Programming - I 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. Dynamic programming is a core concept in computer science, so a Software Engineer needs a strong foundation in this area. This course helps build a foundation by explaining the underlying theory behind dynamic programming with examples like the Fibonacci sequence. With knowledge of dynamic programming, a Software Engineer may visualize and solve many famous programming interview problems. The course includes quizzes and coding assignments that facilitate understanding of how to apply these concepts in practice. The course's focus on practical examples and interview problems makes it an excellent resource for anyone looking to excel as a Software Engineer.

See salaries and explore the career path for Software Engineer

Algorithm Developer

An Algorithm Developer creates and implements algorithms to solve complex problems across various domains. This course may boost an Algorithm Developer's efficiency. This course helps Algorithm Developers visualize solutions through its detailed explanations and practical examples. The course goes over problems like 'Share Market analysis' and 'Longest Increasing Subsequence' to show various algorithm development techniques. It also discusses intuition and logic, pattern recognition, and pseudocode. The course may also help an Algorithm Developer by enhancing their understanding of core dynamic programming principles, making them better equipped to design and optimize algorithms for real-world applications.

See salaries and explore the career path for Algorithm Developer

Data Scientist

Data Scientists use statistical methods and machine learning algorithms to analyze data and extract insights. Dynamic programming is valuable in optimizing data-driven solutions. If you are a Data Scientist, this course enhances your skills in optimization techniques by providing a solid understanding of dynamic programming. The course covers practical examples and problems, which helps visualize and solve complex problems. The course's focus on building intuition and logic may help Data Scientists develop more efficient and effective data models and algorithms. The practical coding assignments and quizzes ensure that the theoretical concepts are applied effectively.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

Quantitative Analysts develop and implement mathematical models for financial analysis and risk management. The concepts taught in this course may benefit a Quantitative Analyst. This course may help Quantitative Analysts understand how to approach dynamic programming problems and visualize solutions. By covering problems like 'Share Market analysis,' the course provides insights into applying dynamic programming to financial scenarios. The course's structured approach to problem-solving, including intuition building and pseudocode development, may enhance the analytical skills of a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models and systems. Knowing dynamic programming is vital for optimizing algorithms in machine learning. This course may enhance a Machine Learning Engineer's understanding of core dynamic programming principles. The course goes over dynamic programming techniques which are useful for optimizing algorithms. The course's focus on building intuition and logic may help Machine Learning Engineers develop more efficient and effective machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Computer Science Professor

A Computer Science Professor instructs students in computer science principles. The professor would be expected to know dynamic programming. This course enhances a Computer Science Professor's knowledge of dynamic programming. The course covers the underlying theory behind dynamic programming with examples such as the Fibonacci Series, which may help the professor explain these concepts to students. The course includes solved problems, quizzes and coding assignments which may help the professor demonstrate the true essence of the concepts.

See salaries and explore the career path for Computer Science Professor

Financial Engineer

Financial Engineers use engineering methods to solve financial problems. Many financial algorithms are based on dynamic programming techniques. This course may boost a Financial Engineer's skills. The course goes over problems such as 'Share Market analysis' to show dynamic programming techniques. The course covers practical examples and problems, helping Financial Engineers visualize solutions, enhance their understanding of dynamic programming principles, and better design and optimize algorithms for real-world applications.

See salaries and explore the career path for Financial Engineer

Game Developer

Game Developers create video games for computers and consoles. Dynamic programming helps optimize game AI and resource management. This course may be useful to a Game Developer. The course covers practical examples and problems, helping Game Developers solve complex problems. The course enhances their skills in optimization techniques by providing a solid understanding of dynamic programming. Concepts discussed in the course, such as the 'Stairway to Heaven' and 'Burglar's Night Out' problems, provide strategies for designing efficient game algorithms.

See salaries and explore the career path for Game Developer

Operations Research Analyst

Operations Research Analysts use advanced analytical techniques to improve organizational efficiency. Dynamic programming helps optimize resource allocation and decision-making. The techniques taught in this course may benefit an Operations Research Analyst. The course introduces dynamic programming, and helps you visualize solutions. The course includes quizzes and coding assignments that facilitate understanding of how to apply these concepts in practice, enhancing the skills of Operations Research Analysts in optimizing complex systems.

See salaries and explore the career path for Operations Research Analyst

Robotics Engineer

Robotics Engineers design, develop, and test robots. Dynamic programming helps optimize robot control algorithms and path planning. This course may be helpful to a Robotics Engineer. The course enhances their skills in optimization techniques by providing a solid understanding of dynamic programming. The course goes over practical examples and problems, helping you visualize and solve complex problems. The course focuses on building intuition and logic to enable the development of efficient and effective robot control algorithms.

See salaries and explore the career path for Robotics Engineer

Data Analyst

Data Analysts collect, process, and analyze data to identify trends and insights. While not always essential, dynamic programming techniques sometimes offer efficiency in certain data analysis tasks. Through its focus on structured problem-solving and algorithm design, this course may complement the skills of a Data Analyst. The 'Sum of the Range Queries' problem covered in the course may enhance a Data Analyst's ability to efficiently process and analyze data sets.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

Business Intelligence Analysts analyze data to provide insights and recommendations for business decisions. Although not a core skill, dynamic programming techniques may occasionally be useful for optimizing data processing. This course may be useful for a Business Intelligence Analyst. The course introduces dynamic programming, and helps you visualize solutions. The 'Sum of the Range Queries' problem may enhance a Business Intelligence Analyst's ability to analyze data.

See salaries and explore the career path for Business Intelligence Analyst

Database Administrator

Database Administrators manage and maintain databases. Dynamic programming is only sometimes relevant to database administration tasks. This course may be useful for a Database Administrator by introducing dynamic programming and helping them visualize solutions. While not a core requirement, the course's focus on problem-solving may help Database Administrators approach complex database management challenges.

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Technical Consultant

Technical Consultants provide expert advice and guidance to clients on technology-related issues. While a deep dive into dynamic programming is not always necessary, understanding algorithmic problem-solving can enhance your consultancy skills. The course goes over dynamic programming techniques which are useful for finding solutions. Learning how to break down problems with this course helps a Technical Consultant better advise clients on a range of technical problems.

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Technical Recruiter

Technical Recruiters source, screen, and recruit candidates for technical positions. Knowing about dynamic programming may allow you to better assess candidates. The course introduces dynamic programming and may give you an insight into its uses. The course focuses on building intuition and logic, so that a Technical Recruiter might ask better questions.

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Dynamic Programming - I

What's inside

Learning objectives

Syllabus

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Reviews summary

Intuitive approach to dynamic programming

Activities

Career center

Reading list

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