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Data Structures and Algorithms in java

Muhammad Hamza AbdulRehman

4.4

Based on 245 ratings

, see reviews

Muhammad Hamza AbdulRehman

This course data Structures and Algorithms using java includes explanation of various data structures with coding examples, provided with detail explanation of code side by side with concept building.

Most important Data Structures like

Linked List, Binary Search Tree(BST), stack, Queue are explained in detail with concepts made easy to understand.

Algorithms like

Selection Sort, Insertion Sort are part of this course with visual explanations.

This course is for students who want good understanding of data structures and algorithms and want to understand code.

Most important Data Structures like

Linked List, Binary Search Tree(BST), stack, Queue are explained in detail with concepts made easy to understand.

Algorithms like

Selection Sort, Insertion Sort are part of this course with visual explanations.

This course is for students who want good understanding of data structures and algorithms and want to understand code.

By taking this course students will be able to use these skills to write or understand data structures in other languages as well, because concepts build from this course are very generic regarding Data structures and Algorithms.

Topics like BST and Linked List are in very detail so that you can have good grip over them and they are of core importance.

There are animations to help you understand topics, so beside code visual explanations help a lot.

Topics like BST and Linked List need extra care to understand well.

Similarly Selection Sort, Insertion Sort are explained in code and visually.

So by taking this course you will be good in a lot of topics in Data structures.

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What's inside

Learning objectives

Learn linear & non-linear data structures plus algorithms
Coding & strong concepts regarding data structures and algorithms
Topics like linked list, stack, queue, array

Coding & explanation of algorithms like selection sort, insertion sort that are of core importance.
Tree and binary search tree (bst) in non-linear data structures

Learn linear & non-linear data structures plus algorithms
Coding & strong concepts regarding data structures and algorithms
Topics like linked list, stack, queue, array
Coding & explanation of algorithms like selection sort, insertion sort that are of core importance.
Tree and binary search tree (bst) in non-linear data structures

Syllabus

Data Structures

Introduction (Linear and Non-Linear DataStructures)

Linked Lists

Linked List Explanation

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores linked lists and binary search trees in detail, which are fundamental concepts for understanding more complex data structures and algorithms

Includes coding examples alongside detailed explanations, which helps learners connect theoretical concepts with practical implementation

Uses visual explanations and animations to illustrate concepts, which can be beneficial for learners who prefer visual learning

Covers selection sort and insertion sort, which are foundational sorting algorithms often taught in introductory computer science courses

Focuses on data structures like linked lists, stacks, queues, and arrays, which are essential building blocks for many software applications

Teaches data structures and algorithms using Java, so learners should be comfortable with basic programming concepts in Java before taking this course

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Reviews summary

Data structures and algorithms in java

According to the course description and typical feedback for foundational programming courses, learners might find this course provides clear explanations and uses helpful visual aids to teach core concepts in Data Structures and Algorithms using Java. The coverage of Linked Lists and Binary Search Trees appears to be particularly detailed. However, potential students should be aware that the course seems to cover only a limited selection of algorithms (Selection and Insertion Sort) and might be more suitable for beginners or those needing a foundational overview rather than comprehensive preparation for technical interviews or advanced topics.

Best suited for those new to DS&A.

"This course is for students who want good understanding of data structures and algorithms."

"Likely provides a solid starting point for newcomers to the subject."

"May be too basic for intermediate or advanced learners."

Uses animations and visual explanations for topics.

"There are animations to help you understand topics."

"Beside code, visual explanations help a lot."

"Likely beneficial for grasping complex structural changes and algorithm steps."

Provides in-depth coverage of Linked Lists and BSTs.

"Topics like BST and Linked List are in very detail so that you can have good grip over them."

"These are stated as being 'of core importance' and covered thoroughly."

"Focuses on building a strong understanding of these fundamental structures."

Concepts are explained clearly and understandably.

"The course description emphasizes detailed concept building and clear explanations."

"Likely feedback suggests explanations, especially with visuals, are a strong point."

"Aims to make concepts easy to understand side-by-side with code."

Only covers Selection Sort and Insertion Sort.

"Algorithms like Selection Sort, Insertion Sort are part of this course."

"The syllabus confirms coverage is limited to just these two sorting algorithms."

"Students seeking broader algorithm exposure may find this insufficient."

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 Data Structures and Algorithms in java with these activities:

Review Java Fundamentals

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Solidify your understanding of Java fundamentals to better grasp the implementation of data structures and algorithms.

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Review basic Java syntax and data types.
Practice writing simple Java programs.
Familiarize yourself with object-oriented programming concepts.

Review 'Cracking the Coding Interview'

Show steps

Reinforce your understanding of data structures and algorithms with a popular interview preparation book.

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

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Read relevant chapters on data structures and algorithms.
Solve practice problems from the book.
Analyze the provided solutions and explanations.

Create a Data Structure Visualization

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Deepen your understanding by creating a visual representation of how data structures work.

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Select a data structure to visualize.
Choose a visualization tool or library.
Create an animation or interactive visualization of the data structure's operations.
Write a short explanation of the visualization.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Tutor other students

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Reinforce your understanding by helping other students with data structures and algorithms.

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Offer assistance to classmates who are struggling.
Explain concepts in your own words.
Answer questions in online forums.

LeetCode Practice

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Sharpen your coding skills by solving data structure and algorithm problems on LeetCode.

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Select problems related to the course topics.
Attempt to solve the problems independently.
Analyze the time and space complexity of your solutions.
Compare your solutions with the optimal solutions.

Implement a Data Structure Library

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Solidify your understanding by creating your own data structure library in Java.

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Choose a set of data structures to implement.
Design the interfaces and classes for each data structure.
Implement the methods for each data structure.
Write unit tests to ensure the correctness of your implementation.

Review 'Introduction to Algorithms'

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Expand your knowledge with a classic textbook on algorithms.

View Introduction to Algorithms, fourth edition on Amazon

Show steps

Read chapters related to course topics for deeper understanding.
Work through examples and exercises in the book.
Use the book as a reference for advanced concepts.

Career center

Learners who complete Data Structures and Algorithms in java 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. This course helps build a foundation in data structures and algorithms, which are fundamental for efficient coding and problem-solving in software development. With its detailed explanations of linked lists, stacks, queues, and binary search trees, this course strengthens the ability to implement and optimize software solutions. The explanations of sorting algorithms like selection sort and insertion sort further contribute to writing performant code. Those aspiring to be Software Engineers will find this course helpful, particularly because it builds generic concepts regarding data structures and algorithms.

See salaries and explore the career path for Software Engineer

Algorithm Engineer

An Algorithm Engineer focuses on designing and implementing algorithms for various applications, such as search engines, data compression, and artificial intelligence. This course helps build a strong understanding of data structures and algorithms, which are at the heart of the role. The detailed coverage of data structures like linked lists, binary search trees, stacks, and queues, along with the explanations of sorting algorithms like selection sort and insertion sort, allows one to design efficient and scalable algorithms. Those pursuing a career as an Algorithm Engineer will benefit from this course because it develops core expertise in data structures and algorithms, with visual explanations.

See salaries and explore the career path for Algorithm Engineer

Backend Developer

A Backend Developer is responsible for building and maintaining the server-side logic and databases that power web and mobile applications. This course helps build a foundation in data structures and algorithms, which are essential for efficient data management and processing on the backend. The detailed explanations of linked lists, stacks, queues, and binary search trees, combined with the sorting algorithm examples, allows you to solve complex problems related to data storage and retrieval. Aspiring Backend Developers will find this course very helpful, especially because the skills learned are transferable to other languages.

See salaries and explore the career path for Backend Developer

Full-Stack Developer

Full Stack Developers work on both the front-end and back-end of web applications. This course helps build a solid understanding of data structures and algorithms, which are essential for creating efficient and scalable applications. The detailed coverage of data structures such as linked lists, stacks, queues, and binary search trees, combined with the sorting algorithm examples, can help improve both front-end and back-end performance. Those aiming to become Full Stack Developers will benefit from this course, especially since these concepts are foundational for both client-side and server-side development.

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

Systems Architect

Systems Architects design and oversee the implementation of complex computer systems. This course helps build a strong understanding of data structures and algorithms, which are critical for designing efficient and scalable systems. The in-depth coverage of data structures like linked lists, binary search trees, stacks, and queues, along with sorting algorithm examples, allows one to make informed decisions about data storage and retrieval mechanisms. Aspiring Systems Architects will find this course greatly beneficial because it strengthens core capabilities in data organization and algorithmic thinking.

See salaries and explore the career path for Systems Architect

Mobile App Developer

Mobile App Developers create applications for smartphones and tablets. This course helps build a foundation in data structures and algorithms, which are important for optimizing app performance and user experience. The detailed examples of linked lists, stacks, queues, and binary search trees, combined with the sorting algorithm explanations, ensures efficient data handling within mobile applications. Aspiring Mobile App Developers will find this course helpful, especially because the course helps build generic concepts regarding data structures and algorithms.

See salaries and explore the career path for Mobile App Developer

Game Developer

Game Developers create video games for various platforms, requiring strong programming and problem-solving skills. This course helps build fundamental knowledge of data structures and algorithms, which are crucial for optimizing game performance and creating engaging gameplay mechanics. The detailed examples of linked lists, stacks, queues, and trees, along with sorting algorithms, contribute to efficient game logic and resource management. Those seeking a career as a Game Developer should consider this course to build a foundation in data structures and algorithms, especially since these are generic.

See salaries and explore the career path for Game Developer

Embedded Systems Engineer

Embedded Systems Engineers design and develop software for embedded systems, such as those found in appliances and automotive systems. This course helps build a foundation in data structures and algorithms, which are crucial for optimizing performance and resource usage in embedded environments. The coverage of data structures like linked lists and queues, along with the sorting algorithm examples, allows for designing efficient embedded software. Those aiming for a role as an Embedded Systems Engineer will find this course beneficial, especially because it strengthens core capabilities in data structures and algorithms.

See salaries and explore the career path for Embedded Systems Engineer

Machine Learning Engineer

Machine Learning Engineers develop and deploy machine learning models. This course may be useful by providing a solid foundation in data structures and algorithms, which are vital for optimizing machine learning algorithms and data processing pipelines. The comprehensive coverage of fundamental data structures, such as linked lists, stacks, queues, and trees, along with algorithm explanations, may help to manage and manipulate data effectively. Individuals who want to become Machine Learning Engineers will find that this course is a useful tool.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A Data Scientist analyzes large datasets to extract meaningful insights and develop data-driven solutions. This course may be useful by providing a solid understanding of data structures and algorithms, which are essential for efficient data manipulation and analysis. This course will allow you to write or understand data structures in other languages as well. The course’s in-depth coverage of data structures like linked lists, stacks, queues, and trees, combined with algorithm explanations, may allow one to understand how to optimize data processing pipelines and build predictive models. Aspiring Data Scientists should consider this course to bolster their technical skills.

See salaries and explore the career path for Data Scientist

Quality Assurance Engineer

Quality Assurance Engineers test software to identify and fix bugs, ensuring software quality. This course helps build a foundation in understanding data structures and algorithms, which are helpful for designing effective test cases and identifying potential performance issues. The knowledge of data structures like linked lists, stacks, and queues, combined with algorithm explanations, can help QA Engineers understand how software components interact and identify areas prone to errors. Aspiring Quality Assurance Engineers will benefit from this course, as the course helps build generic concepts regarding Data structures and Algorithms.

See salaries and explore the career path for Quality Assurance Engineer

Database Administrator

Database Administrators manage and maintain databases, ensuring data integrity, security, and performance. This course may be useful by providing a foundation in data structures, which are fundamental to database design and optimization. Understanding how data is organized and accessed using structures like linked lists, stacks, queues, and trees allows one to optimize database queries and improve overall database performance. The concepts taught are very generic. Individuals interested in becoming Database Administrators might consider this course to enhance their knowledge of data organization.

See salaries and explore the career path for Database Administrator

Data Analyst

Data Analysts collect, process, and analyze data to identify trends and insights that can inform business decisions. This course may be useful by providing an understanding of data structures, which are foundational for efficient data processing and manipulation. The knowledge of data structures like linked lists, stacks, and queues, combined with sorting algorithms, can help Data Analysts optimize data analysis workflows. Those aspiring to be Data Analysts should consider this course to develop a stronger understanding of how data is organized and processed.

See salaries and explore the career path for Data Analyst

DevOps Engineer

DevOps Engineers automate and streamline software development and deployment processes. This course may be useful by helping to understand data structures and algorithms, which are important for optimizing infrastructure and application performance. Knowledge of fundamental data structures, such as linked lists, stacks, queues, and trees, along with algorithm explanations, may help in efficiently managing and automating system configurations. Individuals who want to become DevOps Engineers will find this course may be useful.

See salaries and explore the career path for DevOps Engineer

Technology Consultant

Technology Consultants advise organizations on how to use technology to meet their business goals. This course may be useful by providing a solid understanding of data structures and algorithms, providing a basis for evaluating and recommending technology solutions. The in-depth knowledge of data structures like linked lists, stacks, queues, and trees, along with sorting algorithm examples, may help to assess the suitability and efficiency of different technologies. Those seeking to become Technology Consultants might consider this course to enhance their technical foundation.

See salaries and explore the career path for Technology Consultant

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Structures and Algorithms in java.

Introduction to Algorithms, fourth edition

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Known as CLRS, this book comprehensive and rigorous introduction to algorithms. While it's not specific to Java, it provides a solid theoretical foundation for understanding the algorithms covered in the course. It's a valuable resource for students who want a deeper understanding of the subject matter. is commonly used as a textbook in university courses.

Introduction to Algorithms, fourth edition

Hardcover

$$$$

Introduction to Algorithms, fourth edition

Kindle Edition

$$$

Cracking the Coding Interview

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Provides a comprehensive review of data structures and algorithms commonly used in coding interviews. It offers clear explanations, code examples, and practice problems. It valuable resource for reinforcing concepts learned in the course and preparing for technical interviews. This book is commonly used by students and industry professionals alike.

Cracking the Coding Interview: 189 Programming...

Paperback

Cracking the Coding Interview : 189 Programming...

Paperback

Cracking the Coding Interview: 150 Programming...

Paperback

Cracking the Coding Interview (Indian Edition)

Hardcover

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Rating

4.4

Effort

2.5 total hours

Via

Udemy

Instructor

Muhammad Hamza AbdulRehman

Language

English

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores linked lists and binary search trees in detail, which are fundamental concepts for understanding more complex data structures and algorithms

Includes coding examples alongside detailed explanations, which helps learners connect theoretical concepts with practical implementation

Uses visual explanations and animations to illustrate concepts, which can be beneficial for learners who prefer visual learning

Covers selection sort and insertion sort, which are foundational sorting algorithms often taught in introductory computer science courses

Focuses on data structures like linked lists, stacks, queues, and arrays, which are essential building blocks for many software applications

Teaches data structures and algorithms using Java, so learners should be comfortable with basic programming concepts in Java before taking this course

Data Structures and Algorithms in java

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Data structures and algorithms in java

Activities

Career center

Reading list

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Udemy Buyer Protection & Guarantee

Free Lecture Previews

30-Day Money-Back Guarantee

Verified Academic & Industry Partner