Tree Data Structure and Algorithms from Udemy

Are you looking for a zero to hero course on Tree Data Structure and Algorithms? Do you want to master the topic which is most frequently asked in any coding interview? Are you a passionate problem solver/algorithm enthusiast/theoretical computer scientist who is looking to scale up his problem solving skills? Have you been using trees but still not able to understand it perfectly and thoroughly or are you looking for a course that helps you feel and visualize the tree data structure/algorithms? Are you looking forward to train your mind on how to think instead of cramming algorithms?

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

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

Understanding the tree data structure and algorithms is of utmost importance in the journey to become a top-notch programmer. This is because trees are fundamental data structures and they pop up at more places than you realize. Be it the file system on your PC or the PDF that you read or the chess game that you play against an AI or even the auto-correct/spell-checker that you use while documenting something, all of them are using trees under the hood. In fact they are the first data structure you will perform meaningful recursive computation on and therefore understanding trees even helps to strengthen and solidify the recursion concepts and divide and conquer paradigm.

This is the reason why coding interviews are majorly constituted by tree problems. Understanding the tree data structure and algorithms is undoubtedly mandatory for acing the interview process of the the Tech Giants like Google, Apple, Facebook, Microsoft, IBM etc.

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. The contents are systematically laid out. We follow a fundamental approach for imparting our knowledge and for explaining the concepts intensively. We start with a thorough and an in-depth coverage of theory followed by a great collection of solved interview problems regarding the topic studied. Apart from that we provide various brain twister quizzes and coding assignments along with their true solutions(C++ and Java codes for the programming assignments) for every topic that we study. We have always been praised for the quality questions that we put in our assignments by our students who believe that it has helped them to grasp and remember more.

The student would be able to maximize his learning if he follows the course from the start till the end along with an active usage of the discussion forums. We have a highly responsive team who are looking forward to help the students in the discussion forums with alacrity.

So what are you waiting for. Just go ahead and sign up for this easy to understand course and get one step closer in the path of becoming a top notch programmer and get ready to land up your dream job by mastering the art of understanding tree data structure and algorithms.

What's inside

Learning objectives

Be able to visualize the tree data structure clearly.
Build a strong base for the most common tree based algorithms asked in the interviews.
Be able to break down a bigger problem into smaller and easily solvable sub-problems.

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

Be able to visualize the tree data structure clearly.
Build a strong base for the most common tree based algorithms asked in the interviews.
Be able to break down a bigger problem into smaller and easily solvable sub-problems.
Understand what kind of problems are asked in the recent coding interviews.
Gain confidence for the coding interviews.

Syllabus

Introduction

Trees Introduction

Root-Finding

Binary Tree Introduction

Counting Things

Inorder Traversal

Inorder Traversal Introduction

Catalan Numbers

Q1) N'th node in an Inorder traversal

Summing Squared Nodes

Q2) Inorder Predecessor

Inorder Traversal without using Recursion

Preorder and Postorder Traversals

Post from In & Pre

Highest level of a node

Counting highest level nodes

Copy a Tree

Delete a Tree

Expression Tree

Expression Tree traversal

Binary Search Tree

Identify BST

Searching in a BST

Iterative Searching in BST

Insertion in a BST

Valid Insertion Sequence

Deletion in a BST

Operations Clubbed BST

Sort the Nodes

Sort the nodes in decreasing order

Lowest Common Ancestor in BST

Lowest Common Ancestor Range

LCA concept extended

Bonus

Bonus Lecture

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a solid foundation in tree data structures, which are essential for understanding file systems, AI algorithms, and spell checkers, thereby enhancing problem-solving skills

Includes C++ and Java code examples for programming assignments, which allows learners to implement and test their understanding of tree data structures and algorithms

Covers a wide range of tree-related topics, from basic tree introduction to advanced concepts like Lowest Common Ancestor, which prepares learners for complex problem-solving scenarios

Emphasizes breaking down larger problems into smaller sub-problems, which is a crucial skill for algorithm design and software development, and is highly valued in technical interviews

Includes brain-twister quizzes and coding assignments, which reinforces learning and helps learners retain information, while also preparing them for coding interviews

Focuses on building a strong base for common tree-based algorithms, which are frequently asked in coding interviews, thereby increasing learners' confidence and preparedness

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 Tree Data Structure and Algorithms with these activities:

Review Recursion Fundamentals

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Solidify your understanding of recursion, as tree algorithms heavily rely on this concept.

Browse courses on Recursion

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Study the definition of recursion and recursive functions.
Practice writing simple recursive functions like factorial or Fibonacci sequence.
Trace the execution of recursive calls using a call stack diagram.

Review 'Introduction to Algorithms' by Cormen et al.

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Use this book as a reference to deepen your understanding of tree data structures and algorithms.

View Introduction to Algorithms, fourth edition on Amazon

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Read the chapters related to tree data structures and algorithms.
Work through the examples and exercises provided in the book.
Compare the book's explanations with the course materials.

Participate in Peer Study Group

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Collaborate with peers to discuss tree data structures and algorithms, solve problems together, and learn from each other.

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Form a study group with other students in the course.
Schedule regular meetings to discuss course materials and solve problems.
Share your knowledge and learn from your peers' perspectives.

Four other activities

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Implement Tree Traversal Algorithms

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Practice implementing inorder, preorder, and postorder traversals to solidify your understanding of tree traversal techniques.

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Implement inorder, preorder, and postorder traversals recursively.
Implement inorder, preorder, and postorder traversals iteratively using stacks.
Test your implementations with various tree structures.

Create a Blog Post on Tree Applications

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Research and write a blog post about real-world applications of tree data structures to reinforce your understanding and share your knowledge.

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Research different applications of tree data structures.
Write a blog post explaining these applications in a clear and concise manner.
Include examples and diagrams to illustrate the concepts.

Build a Binary Search Tree Visualizer

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Create a visual representation of a binary search tree to better understand its structure and operations.

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Design the user interface for the visualizer.
Implement the insertion, deletion, and search operations for the BST.
Visualize the tree structure and the effects of each operation.

Review 'Cracking the Coding Interview' by Gayle Laakmann McDowell

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Use this book to practice solving tree-related coding interview questions.

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

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Read the chapter on trees and graphs.
Solve the practice problems related to tree data structures.
Analyze the solutions and understand the underlying concepts.

Career center

Learners who complete Tree Data Structure and Algorithms will develop knowledge and skills that may be useful to these careers:

Algorithm Developer

Algorithm developers design and implement algorithms for various applications, ranging from search engines to artificial intelligence. This course directly aligns with the core responsibilities of an algorithm developer. It covers essential tree data structures and algorithms, providing a solid understanding of their implementation and application. The practice problems and coding assignments in the course simulate real-world algorithm development scenarios. An algorithm developer can train their mind regarding how to think instead of cramming algorithms. In addition, the course prepares candidates through practical exercises and assignments.

See salaries and explore the career path for Algorithm Developer

Software Engineer

A software engineer designs, develops, tests, and maintains software applications. This course helps build a strong foundation in data structures and algorithms, particularly trees, which are fundamental to many software solutions. The course emphasizes problem-solving skills, essential for software engineers who constantly face complex coding challenges. The course may enable a software engineer to perform meaningful recursive computation. Interview preparation is key to landing the job as a software engineer, and this course prepares candidates through practical exercises and assignments.

See salaries and explore the career path for Software Engineer

Machine Learning Engineer

Machine learning engineers develop and implement machine learning models. This course directly supports the role by providing a strong base in tree-based algorithms, such as decision trees and random forests, which are widely used in machine learning. The course's emphasis on visualizing tree data structures enhances understanding of model behavior. A machine learning engineer can leverage the recursion concepts and divide and conquer paradigm. Understanding the tree data structure and algorithms undoubtedly helps to ace the interview process.

See salaries and explore the career path for Machine Learning Engineer

Bioinformatician

Bioinformaticians analyze biological data using computational tools and techniques. A bioinformatician uses tree-based algorithms in phylogenetic analysis and hierarchical clustering of genomic data. This course is directly applicable, focusing on visualizing and implementing tree data structures. The course's emphasis on interview preparation is valuable, as bioinformaticians working in industry often face algorithm-heavy interviews. The course provides various brain twister quizzes and coding assignments along with their true solutions.

See salaries and explore the career path for Bioinformatician

Data Scientist

Data scientists analyze large datasets to extract meaningful insights, often using algorithms and data structures. This course may be useful because it hones skills in tree-based algorithms, essential for machine learning models and data mining techniques. The focus on visualizing tree data structures enhances the ability to interpret and present data effectively. A data scientist can leverage the recursion concepts and divide and conquer paradigm. Understanding the tree data structure and algorithms may be helpful for acing the interview process.

See salaries and explore the career path for Data Scientist

Natural Language Processing Engineer

A natural language processing engineer develops algorithms and models that enable computers to understand and process human language. This course helps build a solid foundation in tree data structures, which are often used for parsing and representing sentence structures. The course may enable a natural language processing engineer to perform meaningful recursive computation. Understanding the tree data structures and algorithms may be helpful for acing the interview process. The student would be able to maximize his learning.

See salaries and explore the career path for Natural Language Processing Engineer

Game Developer

A game developer creates video games for computers, consoles, and mobile devices. This course may be helpful because it enables game developers to use trees for game logic, AI, and level design. The course emphasizes problem-solving, essential for tackling the unique challenges in game development. This course may enable a game developer to perform meaningful recursive computation. Understanding the tree data structures and algorithms may be helpful for acing the interview process.

See salaries and explore the career path for Game Developer

Robotics Engineer

Robotics engineers design, build, and program robots for various applications. This course may be useful because it helps to understand how tree data structures are used in robot path planning and decision-making algorithms. The course may enable a robotics engineer to perform meaningful recursive computation. Understanding the tree data structures and algorithms may be helpful for acing the interview process. This is the reason why coding interviews are majorly constituted by tree problems.

See salaries and explore the career path for Robotics Engineer

Mobile Application Developer

Mobile application developers create applications for smartphones and tablets. This course may be useful because it provides a foundation in tree data structures, useful for organizing data and implementing efficient algorithms in mobile apps. The ability to visualize tree data structures is beneficial for designing user interfaces and managing application data. Understanding the tree data structures and algorithms may be helpful for acing the interview process. The course may enable a mobile application developer to perform meaningful recursive computation.

See salaries and explore the career path for Mobile Application Developer

Database Administrator

A database administrator (DBA) is responsible for managing and maintaining databases, ensuring their security, performance, and availability. This course may be useful because it provides a strong foundation in tree data structures, which are used in database indexing and query optimization. The focus on understanding tree algorithms allows a DBA to design more efficient database systems. Learning tree algorithms may enable a database administrator to break down a bigger problem into smaller and easily solvable sub-problems. The course trains the mind of a database administrator on how to think instead of cramming algorithms.

See salaries and explore the career path for Database Administrator

Web Developer

A web developer builds and maintains websites and web applications. While not always apparent, tree data structures are useful in areas like website navigation and document object model manipulation. This course may be useful because it provides a better grasp of these underlying structures, enabling a web developer to write more efficient and organized code. An understanding of the tree data structure algorithms is undoubtedly mandatory for acing the interview process. The course may enable a web developer to perform meaningful recursive computation.

See salaries and explore the career path for Web Developer

Full-Stack Developer

A full stack developer works on both the front-end and back-end of web applications. This course may be useful because it will give them a more comprehensive understanding of how data is structured and processed, regardless of which part of the application they are working on. The course may enable a full stack developer to break down a bigger problem into smaller and easily solvable sub-problems. The course trains the mind of a full stack developer on how to think instead of cramming algorithms.

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

Data Analyst

Data analysts examine data using statistical techniques and software tools to identify trends and insights. While they may not implement tree data structures directly, understanding these structures and related algorithms provides a stronger foundation for data manipulation and analysis. Knowing how tree data structures and algorithms enable computer programs to function can make a data analyst better able to understand the information that they are using in their analysis. The course is helpful because it emphasizes problem-solving, a critical skill for effective data analysis. This is the reason why coding interviews are majorly constituted by tree problems.

See salaries and explore the career path for Data Analyst

Quality Assurance Engineer

A quality assurance engineer ensures the quality of software products through testing and analysis. This course may be useful because it provides a deeper understanding of the data structures and algorithms used in the software, enabling a QA engineer to design more effective test cases. The course may enable a quality assurance engineer to break down a bigger problem into smaller and easily solvable sub-problems. The course trains the mind of a quality assurance engineer on how to think instead of cramming algorithms.

See salaries and explore the career path for Quality Assurance Engineer

Technical Consultant

Technical consultants advise clients on how to use technology to meet their business needs. This course may be useful because it broadens their understanding of core data structures and algorithms, enabling them to provide more informed recommendations. The course may enable a technical consultant to break down a bigger problem into smaller and easily solvable sub-problems. Understanding the tree data structures and algorithms may be helpful for acing the interview process.

See salaries and explore the career path for Technical Consultant

Tree Data Structure and Algorithms

What's inside

Learning objectives

Syllabus

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Activities

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