Advanced Data Structures and Algorithms in Java ( DSA ) from Udemy

This "Advanced Data Structures and Algorithms In Java" course is thoroughly detailed and uses lots of animations to help you visualize the concepts.

Instructor is author of popular books "C In Depth" and "Data Structures Through C In Depth" helped 250,000+ students & professionals

This "Advanced Data Structures and Algorithms in Java" tutorial provides a comprehensive explanation of different types of graph and various graph algorithms. Throughout the course a step by step approach is followed to make you understand different algorithms. Through this course you can build a strong foundation and it will help you to crack Data Structures and Algorithms in Java coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms in Java interview topics helps you to attempt tricky interview questions.

This Data Structures and Algorithms using Java course covers following topics with Java implementation :

Trees : AVL Tree, Threaded Binary Tree, Expression Tree, B Tree explained and implemented in Java

Graphs : Adjacency matrix, Adjacency list, Path matrix, Warshall’s Algorithm, Traversal, Breadth First Search (BFS), Depth First Search (DFS), Dijkstra’s Shortest Path Algorithm, Prim's Algorithm and Kruskal's Algorithm for minimum spanning tree

Here is the course content-

AVL Tree
Threaded Binary Tree
Expression Tree
B Tree
Graph
Traversal in Graph
Shortest Paths in Graph
Minimum Spanning Tree of a Graph

The Data Structures and Algorithms with Java course is broken down into easy to assimilate short lectures and complete working programs are shown for each concept that is explained. The algorithms and examples are explained with figures and animations to simplify the learning of this complex topic. You will see code implementation of different data structures in Java and algorithms are explained in step-wise manner.

In this Data Structures and Algorithms through Java course, Java programs are used for implementing various concepts, but you can easily code them in any other programming language like C++, C#, Python.

This Learn Data Structures and Algorithms In Java online course on udemy will help software developers to refresh the concepts studied in Data Structures and Algorithms In Java books / pdf and also to students learning from referred books / pdf.

What students are saying about this course -

"One of the only courses available on udemy that includes the coding implementation. Brilliantly explained and quite easy to follow."

"This is really revision experience for me. I have forgotten few basic concept regarding data structures and this tutorial helped me big way to revise it all."

"Thanks dear."

"Good course. Explain difficult concepts like AVL tree and B tree very well."

"Super. Enjoyed learning the data structures. Very detailed explanation. Thank you."

"One of the best ways, she has explained. After going through the course I highly recommend her."

"The best tutor I ever seen before."

"Excellent data structures and algorithms tutorial with practical examples and lots of hands on coding..."

"Very informative with great examples to help you visually understand the concepts of data structures and how they can be applied with examples of java code snippets."

"Amazing Lecture Videos. So glad i bought it"

"Explained the concept and continued with multiple examples so it was easy to learn."

"Great Course. "

"Very good instructor and materials presented in professional manner. it is recommended."

"Great."

"Overall a good course, I used it to get understanding of the algorithms, Instructor explains concept clearly and patiently"

So what are you waiting for, click on Buy button to enroll now and start learning.

What's inside

Learning objectives

Understand various data structures and algorithms (dsa) through animations
Get the ability to implement different algorithms in java
Get the confidence to face programming interviews

Learn theory and implementation of avl trees, b trees, threaded binary trees and expression trees
Graph, traversal and shortest path algorithms

Understand various data structures and algorithms (dsa) through animations
Get the ability to implement different algorithms in java
Get the confidence to face programming interviews
Learn theory and implementation of avl trees, b trees, threaded binary trees and expression trees
Graph, traversal and shortest path algorithms

Syllabus

Introduction to Advanced Data Structures and Algorithms Through Java

AVL Tree

Important : Source Code Repository required for course

Introduction

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Uses Java implementations, which allows learners to directly apply the concepts in practical coding scenarios and projects, enhancing their problem-solving skills

Covers graph algorithms like Dijkstra's and Kruskal's, which are essential for solving optimization problems in various domains such as networking and logistics

Includes animations to visualize complex data structures, which can significantly improve understanding and retention of abstract concepts for visual learners

Explores AVL trees and B-trees, which are self-balancing data structures that are crucial for efficient data retrieval and storage in database systems

Requires access to a source code repository, which may require learners to create an account and familiarize themselves with version control systems like Git

Teaches Warshall's Algorithm, which is useful for understanding transitive closure but may not be as widely used in practice as other shortest path algorithms

Reviews summary

Advanced dsa in java with implementation

According to learners, this course offers a detailed explanation of advanced data structures and algorithms in Java. Students particularly appreciate the instructor's ability to explain difficult concepts clearly and patiently. The course is highly praised for its inclusion of coding implementation in Java and practical examples, often leveraging animations and visual aids effectively to simplify learning. Many find that it provides a strong foundation in DSA, describing the instructor as excellent and among the best they've encountered. The lectures are consistently found to be informative and easy to follow, making this a valuable resource for both initial learning and revision of these complex topics.

Helpful for refreshing forgotten concepts.

"This is really revision experience for me. I have forgotten few basic concept regarding data structures and this tutorial helped me big way to revise it all."

Animations help visualize concepts.

"Very informative with great examples to help you visually understand the concepts..."

"I found the visual aids, like figures and animations, very helpful."

"The examples helped me visually grasp the concepts."

Instructor highly praised by learners.

"One of the best ways, she has explained. After going through the course I highly recommend her."

"The best tutor I ever seen before."

"Very good instructor and materials presented in professional manner."

Thorough explanation of advanced topics.

"Super. Enjoyed learning the data structures. Very detailed explanation."

"Very informative..."

"I found the course covered the concepts in great detail."

Includes implementation & examples.

"One of the only courses available on udemy that includes the coding implementation."

"Excellent data structures and algorithms tutorial with practical examples and lots of hands on coding..."

"Very informative with great examples... with examples of java code snippets."

Concepts explained clearly & patiently.

"Brilliantly explained and quite easy to follow."

"Good course. Explain difficult concepts like AVL tree and B tree very well."

"Instructor explains concept clearly and patiently"

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 Advanced Data Structures and Algorithms in Java ( DSA ) with these activities:

Review Basic Tree Concepts

Show steps

Reinforce your understanding of fundamental tree concepts before diving into advanced topics like AVL and B-Trees.

Browse courses on Binary Trees

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Review definitions of tree terminology (root, node, leaf, etc.).
Practice implementing basic tree traversals (inorder, preorder, postorder).
Solve simple problems involving binary tree manipulation.

Review 'Data Structures and Algorithms in Java' by Robert Lafore

Show steps

Use this book as a reference to better understand the Java implementations of the data structures covered in the course.

View Data Structures & Algorithms in Python... on Amazon

Show steps

Read the chapters related to the data structures covered in the course.
Study the Java code examples provided in the book.
Experiment with the code examples and modify them to test your understanding.

Implement Graph Traversal Algorithms

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Solidify your understanding of graph traversal algorithms by implementing them from scratch.

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Implement Breadth-First Search (BFS) and Depth-First Search (DFS) in Java.
Test your implementations on various graph examples.
Analyze the time and space complexity of your implementations.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Solve Dijkstra's Algorithm Problems on LeetCode

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Improve your problem-solving skills by practicing Dijkstra's algorithm on coding platforms.

Show steps

Find problems on LeetCode or similar platforms that require Dijkstra's algorithm.
Implement Dijkstra's algorithm in Java to solve the problems.
Analyze the time and space complexity of your solutions.
Compare your solutions with the solutions provided by others.

Review 'Introduction to Algorithms' by Cormen et al.

Show steps

Supplement your learning with a classic textbook that provides a rigorous treatment of algorithms and data structures.

View Introduction to Algorithms, fourth edition on Amazon

Show steps

Read the chapters related to trees, graphs, and sorting algorithms.
Work through the exercises and problems at the end of each chapter.
Compare the book's explanations with the course materials.

Build a Visualizer for AVL Tree Operations

Show steps

Create a visual representation of AVL tree insertions and deletions to deepen your understanding of the balancing process.

Show steps

Design a user interface for visualizing AVL tree operations.
Implement the AVL tree insertion and deletion algorithms in Java.
Connect the algorithms to the visualizer to show the tree's state after each operation.
Add features for stepping through operations and highlighting rotations.

Create a Blog Post on B-Tree Applications

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Solidify your understanding of B-Trees by researching and writing about their real-world applications.

Show steps

Research the use of B-Trees in databases and file systems.
Write a blog post explaining the structure and properties of B-Trees.
Describe how B-Trees are used to optimize data storage and retrieval.
Include diagrams and examples to illustrate your points.

Career center

Learners who complete Advanced Data Structures and Algorithms in Java ( DSA ) will develop knowledge and skills that may be useful to these careers:

Software Engineer

A software engineer designs, develops, and tests software applications. This course, with its exploration of advanced data structures like AVL trees and B-trees, helps software engineers write performant and efficient code. The course's coverage of graph algorithms, such as Dijkstra's and Kruskal's, helps software engineers solve complex problems related to network optimization and pathfinding. Furthermore, the Java implementations of these algorithms provide a practical foundation for real-world software development tasks. A software engineer would particularly benefit from the section on implementing various data structures and algorithms, providing hands-on experience that translates directly to coding projects.

See salaries and explore the career path for Software Engineer

Algorithm Developer

An algorithm developer focuses on creating and refining algorithms for various applications, from search engines to machine learning models. This course provides an excellent foundation with its extensive coverage of advanced data structures and graph algorithms. The course's step-by-step approach to understanding and implementing algorithms, especially those related to shortest paths and minimum spanning trees, hones the skills necessary for algorithm design. An algorithm developer also benefits from the Java implementations, translating theoretical knowledge into practical coding abilities. The algorithm developer will find value in the sections covering graph algorithms such as Warshall's and shortest path algorithms.

See salaries and explore the career path for Algorithm Developer

Data Scientist

A data scientist analyzes large datasets to extract meaningful insights and build predictive models. The data structures and algorithms covered are crucial for efficient data manipulation and analysis. This course helps data scientists optimize their code for performance, especially when dealing with large datasets. The course's explanation of graph algorithms such as traversal, shortest path, provides a data scientist with tools to analyze relationships within complex data networks, further unlocking hidden patterns. The included Java implementations offers a practical toolkit for implementing these algorithms. A data scientist may find the sections on graph traversal and shortest path algorithms particularly relevant.

See salaries and explore the career path for Data Scientist

Backend Developer

A backend developer builds and maintains the server-side logic and databases that power web applications. This course helps backend developers design efficient and scalable systems. The knowledge of graph algorithms, such as those for finding shortest paths and minimum spanning trees, helps optimize network performance. The Java implementations of these algorithms provides backend developers with practical examples. A backend developer will find the sections on graph data structures and associated algorithms especially useful for optimizing server-side operations and database interactions.

See salaries and explore the career path for Backend Developer

Software Architect

A software architect designs the overall structure of software systems. To design efficient and scalable systems, a software architect should understand data structures and algorithms. This course offers a comprehensive overview of advanced data structures and graph algorithms. The exploration into the Java implementations provides a practical understanding of the performance implications. The study of graph algorithms, such as shortest path algorithms, can help software architects design efficient network topologies. Software architect roles often require advanced degrees.

See salaries and explore the career path for Software Architect

Game Developer

A game developer creates video games for various platforms. This course offers a thorough investigation into data structures and algorithms relevant to efficient game design. Game design often requires pathfinding and search algorithms, and this course provides specific attention to graph algorithms. Further, game developers will find implementing data structures with Java to be relevant in their role. In particular, a game developer will find the sections on graphs and graph traversal algorithms to be especially relevant.

See salaries and explore the career path for Game Developer

Machine Learning Engineer

A machine learning engineer develops and deploys machine learning models. This course helps machine learning engineers optimize model performance and efficiently process large datasets. The understanding of graph algorithms can be applied to tasks such as network analysis and recommendation systems. The Java implementations of these algorithms provides a practical foundation for building machine learning pipelines. A machine learning engineer may find the sections on tree data structures and graph algorithms particularly useful for feature engineering and model optimization.

See salaries and explore the career path for Machine Learning Engineer

Full-Stack Developer

A full stack developer works on both the front-end and back-end of web applications. This course can help full stack developers write efficient algorithms for data manipulation and optimize application performance. The knowledge of graph algorithms helps with tasks such as implementing routing and navigation features. The Java implementations provided in the course offers practical examples. A full stack developer may find the sections on graph algorithms and their Java implementations particularly useful for optimizing back-end performance and implementing complex features.

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

Data Engineer

A data engineer builds and maintains the infrastructure for data storage, processing, and analysis. Knowing data structures and algorithms is very important for a data engineer, and this course provides a thorough investigation into data structures. The Java implementations of data structures can be built into existing systems. A data engineer will find the sections on data structures such as trees to be especially relevant.

See salaries and explore the career path for Data Engineer

Database Administrator

A database administrator is responsible for the performance, integrity, and security of databases. This course may be useful to database administrators by offering insights into efficient data storage and retrieval methods through the study of advanced data structures like AVL trees and B-trees. The course's exploration of graph algorithms helps optimize query performance and database relationships. The Java implementations demonstrate how to apply these concepts in a practical setting. A database administrator may find the sections on tree data structures and graph representations particularly helpful for database design and optimization.

See salaries and explore the career path for Database Administrator

DevOps Engineer

A DevOps engineer automates and streamlines software development and deployment processes. This course may be useful to a DevOps engineer, because the course provides a good foundation for understanding how different data structures and algorithms impact application performance. Knowledge of graph algorithms can aid in optimizing network configurations and infrastructure management. The Java implementations provides practical examples. A DevOps engineer will find the sections on graph algorithms and their implementations particularly useful for network optimization and infrastructure management.

See salaries and explore the career path for DevOps Engineer

Research Scientist

A research scientist conducts experiments and analyzes data to advance scientific knowledge, often requiring a terminal degree. This course may be useful to research scientists through its comprehensive coverage of advanced data structures and algorithms. A research scientist may benefit from this course through writing code that can be optimized for performance. A research scientist would find the sections on graph algorithms particularly helpful.

See salaries and explore the career path for Research Scientist

Security Engineer

A security engineer protects computer systems and networks from cyber threats. While not the primary focus, this course may be relevant to security engineers through its coverage of data structures and algorithms used in security applications. A security engineer may find the sections on graph traversal algorithms useful for analyzing network traffic and identifying anomalies, which is applicable for network security. The Java implementations may provide a foundation for developing security tools and applications.

See salaries and explore the career path for Security Engineer

Technology Consultant

A technology consultant advises organizations on how to use technology to meet their business goals. A consultant uses DSA in order to assess the effectiveness of a client's existing codebase. Because this course implements in Java, the consultant will be better able to understand a client's Java system. A Java consultant may find the sections covering graph data structures and their algorithms to be especially relevant.

See salaries and explore the career path for Technology Consultant

Quantitative Analyst

A quantitative analyst develops and implements mathematical models for financial analysis and risk management. The course helps quantitative analysts implement efficient algorithms for data processing and model optimization. The focus on optimization is crucial for financial modeling. Quantitative analysts may need an advanced degree.

See salaries and explore the career path for Quantitative Analyst

Advanced Data Structures and Algorithms in Java ( DSA )

What's inside

Learning objectives

Syllabus

Traffic lights

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Reviews summary

Advanced dsa in java with implementation

Activities

Career center

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