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Java Data Structures & Algorithms

Ace Coding Interviews!

4.5 Filled star Filled star Filled star Filled star Half star
Based on 132 ratings
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Ahmed Elsakka

Welcome to the Data Structures and Algorithms in Java Course.

Are you a Java programmer who wants to write efficient code and improve your programming and problem solving skills ?

Do you have an upcoming coding interview and you want to ace it with confidence ?

If the answer is yes, then this course is the right choice for you.

In this course you will learn everything about Data Structures and Algorithms and how to implement and use them in Java.

The concepts are explained with animations which makes it much more easier to understand and memorize.

Read more

Welcome to the Data Structures and Algorithms in Java Course.

Are you a Java programmer who wants to write efficient code and improve your programming and problem solving skills ?

Do you have an upcoming coding interview and you want to ace it with confidence ?

If the answer is yes, then this course is the right choice for you.

In this course you will learn everything about Data Structures and Algorithms and how to implement and use them in Java.

The concepts are explained with animations which makes it much more easier to understand and memorize.

You will also apply your knowledge throughout the course via coding exercises, real world use cases and Leetcode coding challenges with video solutions.

The course covers the following topics:

General

  • Why Should You Learn Data Structures and Algorithms ?

  • What are Data Structures ?

  • What are Algorithms ?

Big O Notation

  • Linear Complexity - O(n)

  • Constant Complexity - O(1)

  • Quadratic Complexity - O(n^2)

  • Logarithmic Complexity - O(logn)

  • Constants in Big O

  • Dominant and Non-Dominant Factors in Big O

  • Complexities Comparison

Data Structures

  • Linked Lists

  • Doubly Linked Lists

  • Stacks

  • Queues

  • Sets

  • Trees

  • Tries

  • Heaps

  • Hash Tables

  • Graphs

Algorithms

  • Linear Search

  • Binary Search

  • Bubble Sort

  • Insertion Sort

  • Selection Sort

  • Merge Sort

  • Recursion

  • Tree Traversal

  • Graph Traversal

I'm confident that you will enjoy this course, but if you for some reason are not happy with the course it's backed by Udemy's 30 day money back guarantee, so nothing to lose. I'm excited to see you in the course, hit that enroll button and start your mastering Data Structures & Algorithms journey :)

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What's inside

Learning objectives

  • Understand data structures and algorithms & how to implement and use them in java
  • Understand big o notation and how to calculate space & time complexities
  • Improve your problem solving skills
  • Enhance your programming skills
  • Leetcode challenges with video solutions
  • Understand how to decide when to use a specific algorithm or data structure for different use cases
  • Ace coding interviews

Syllabus

Introduction
Why Should You Learn Data Structures and Algorithms ?
What are Data Structures ?
What are Algorithms ?
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Includes Leetcode challenges with video solutions, which provides learners with hands-on experience solving common interview questions
Covers Big O notation, which is essential for understanding algorithm efficiency and is a frequent topic in technical interviews
Explores a wide range of data structures, including linked lists, stacks, queues, trees, and graphs, which are fundamental for coding interviews
Teaches common algorithms like linear search, binary search, and various sorting algorithms, which are crucial for efficient problem-solving
Uses animations to explain complex concepts, which can help learners understand and memorize data structures and algorithms more easily
Requires familiarity with Java programming, so learners without prior Java experience may need to acquire those skills first

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Reviews summary

Ace coding interviews with java dsa

According to learners, this course provides a solid foundation in Java data structures and algorithms, particularly helpful for those preparing for coding interviews. Many students found the explanations to be clear and concise, often appreciating the use of animations to visualize concepts. The inclusion of coding exercises and Leetcode challenges with video solutions was frequently highlighted as a major positive, offering practical application and interview-specific practice. While the course covers a wide range of fundamental topics, some learners felt it could benefit from more advanced problem-solving techniques or deeper dives into certain algorithms. Overall, it's seen as a highly effective and practical resource for its intended audience.
Pacing works well for beginners.
"The course pace felt just right for someone relatively new to DSA concepts."
"It moves at a good speed, allowing you to absorb the information before moving on."
"Some sections could be faster for those with some prior knowledge, but it's great for beginners."
"While thorough on fundamentals, I wish there were more complex problems or optimizations discussed."
Provides a strong base for DSA.
"This course gave me a really good fundamental understanding of data structures and algorithms in Java."
"Perfect for building a solid base before diving into more complex competitive programming problems."
"I now feel much more confident about the basic DSA concepts required for my job search."
"It covered all the essential data structures and sorting algorithms I needed to know."
Concepts explained with great clarity.
"The explanations are very clear and easy to follow. The animations really help visualize the concepts."
"Great course! The explanations are concise and to the point. Big O notation was explained really well."
"I found the explanations of core data structures and algorithms very easy to grasp thanks to the visuals."
"Understanding complex topics felt straightforward because of the clear lectures and demonstrations."
Directly relevant to coding interviews.
"Highly recommend this course for anyone preparing for Java coding interviews. It covers key topics."
"The focus on interview-style problems and patterns is exactly what I was looking for."
"This course helped me structure my thinking for interview questions involving DSA."
"Feel more ready to tackle technical interviews after going through the material and challenges."
Exercises and Leetcode problems are valuable.
"The Leetcode challenges included with video solutions are incredibly helpful for interview practice."
"I really appreciated the coding exercises throughout the course; they solidified my understanding."
"The practical problems and use cases presented made the abstract concepts feel applicable."
"Getting hands-on with the code implementations and challenges was the best part for me."
Could add more advanced topics.
"Could use more in-depth coverage on complex topics or optimization techniques."
"Some topics felt a bit brief; maybe add more advanced data structures later."
"I was hoping for more challenging problems beyond the included Leetcode ones."
"While the basics are covered well, I might need another resource for truly advanced DSA."

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 Java Data Structures & Algorithms: Ace Coding Interviews! with these activities:
Review Big O Notation
Solidify your understanding of Big O notation to better analyze the efficiency of data structures and algorithms covered in the course.
Browse courses on Big O Notation
Show steps
  • Review the definitions of O(1), O(log n), O(n), O(n log n), and O(n^2).
  • Practice determining the Big O complexity of simple code snippets.
  • Work through examples of Big O analysis for common data structure operations.
LeetCode Easy Problems
Reinforce your understanding of data structures and algorithms by solving LeetCode easy problems related to the topics covered in each module.
Show steps
  • Select a LeetCode easy problem related to the current module's topic.
  • Implement a solution in Java.
  • Test your solution against the provided test cases.
  • Analyze the time and space complexity of your solution.
Cracking the Coding Interview
Supplement your learning with a well-regarded resource for coding interview preparation, focusing on problem-solving strategies and common interview questions.
View Cracking the Coding Interview: 189 Programming... on Amazon
Show steps
  • Read the chapters related to data structures and algorithms covered in the course.
  • Work through the example problems and solutions.
  • Practice solving similar problems on your own.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Implement a Data Structures Library
Deepen your understanding of data structures by implementing your own versions of common data structures in Java.
Show steps
  • Choose a set of data structures to implement (e.g., LinkedList, Stack, Queue, Binary Search Tree).
  • Implement the core operations for each data structure (e.g., add, remove, search).
  • Write unit tests to verify the correctness of your implementations.
  • Document your code with Javadoc comments.
Create a Data Structure Visualization
Solidify your understanding of a specific data structure by creating a visual representation of its structure and operations.
Show steps
  • Choose a data structure (e.g., Binary Search Tree, Hash Table).
  • Create a diagram or animation that illustrates the structure of the data structure.
  • Show how the core operations (e.g., insert, delete, search) modify the data structure.
  • Write a brief explanation of the visualization.
Introduction to Algorithms
Explore a classic algorithms textbook to gain a deeper understanding of the theoretical foundations and advanced concepts related to data structures and algorithms.
View Introduction to Algorithms, fourth edition on Amazon
Show steps
  • Read the chapters related to the data structures and algorithms covered in the course.
  • Study the pseudocode and analysis provided in the book.
  • Compare the book's approach to the course's approach.
Contribute to a Java Data Structures Library
Apply your knowledge and skills by contributing to an open-source Java data structures library, gaining experience in collaborative software development.
Show steps
  • Find an open-source Java data structures library on GitHub or GitLab.
  • Identify a bug or feature request that you can address.
  • Implement the fix or feature.
  • Submit a pull request with your changes.
  • Respond to feedback from the maintainers.

Career center

Learners who complete Java Data Structures & Algorithms: Ace Coding Interviews! will develop knowledge and skills that may be useful to these careers:
Software Engineer
A software engineer designs, develops, tests, and maintains software applications. This Java Data Structures & Algorithms course directly helps a software engineer write efficient code and improve problem-solving skills, which are vital for producing high-quality software. You will study linked lists, trees, graphs, and related algorithms. Mastery of these concepts can translate directly into better performance and scalability of the applications that software engineers build. You will also learn how to handle coding interviews, potentially opening doors to exciting software engineering roles. The course covers Big O notation, which is an essential tool for software engineers to analyze the performance of their code.
See salaries and explore the career path for Software Engineer
Algorithm Developer
Algorithm developers create and implement algorithms for various applications, such as search engines, recommendation systems, and financial models. This Java Data Structures & Algorithms course aids algorithm developers in understanding different data structures and algorithms, such as graph traversal, and how to implement them efficiently in Java. You will learn about Big O notation, which is essential for analyzing the performance of algorithms. This course helps algorithm developers improve their problem-solving skills and prepares them for coding challenges.
See salaries and explore the career path for Algorithm Developer
Backend Developer
Backend developers focus on server-side logic, databases, and APIs that power applications. This Java Data Structures & Algorithms course helps backend developers understand and implement various data structures, such as hash tables and trees, which are essential for efficient data storage and retrieval. Backend developers also benefit from learning about Big O notation, which allows them to optimize the performance of their code. Improving your problem-solving skills is particularly valuable in designing scalable and robust backend systems. The course's coverage of algorithms, such as merge sort, directly aids in efficient data processing.
See salaries and explore the career path for Backend Developer
Full-Stack Developer
A full stack developer works on both the front-end and back-end components of web applications. The Java Data Structures & Algorithms course helps full stack developers enhance their programming and problem-solving skills, which are important for managing the complexities of both the client-side and server-side. Understanding data structures and algorithms, such as graphs and binary search, enables full stack developers to build efficient and scalable applications. Full stack developers also benefit from Big O notation, which is important for optimizing code performance. You will also be able to navigate coding interviews.
See salaries and explore the career path for Full-Stack Developer
Application Developer
Application developers are responsible for designing, coding, and testing applications for computers and mobile devices. This course helps application developers improve their coding skills and problem-solving skills, which are crucial for producing reliable and efficient applications. The Java Data Structures & Algorithms course covers linked lists, stacks, queues, and other data structures that are commonly used in application development. Understanding Big O notation enables application developers to write code that performs well under various conditions. This course may also assist you during coding interviews.
See salaries and explore the career path for Application Developer
Technical Lead
A technical lead guides a team of developers, making key technical decisions and ensuring the project aligns with technical best practices. The Java Data Structures & Algorithms course enhances a technical lead’s understanding of data structures and algorithms. This allows them to make informed decisions about technology choices. Big O notation helps technical leads evaluate system performance and scalability. Improved problem-solving skills directly contribute to effective leadership and strategic planning. Knowledge of data structures, such as linked lists, stacks, queues, sets, trees, tries, heaps, hash tables, and graphs are useful.
See salaries and explore the career path for Technical Lead
Software Development Engineer in Test
Software Development Engineer in Test (SDET) professionals are responsible for designing and implementing tests to ensure the quality of software. This Java Data Structures & Algorithms course helps SDETs understand data structures and algorithms, and this knowledge allows them to create more effective and comprehensive test cases. SDETs also benefit when the course covers Big O notation, which enables them to analyze the performance implications of different code implementations. The improved problem-solving skills can be used to identify and address potential issues early in the development cycle.
See salaries and explore the career path for Software Development Engineer in Test
Data Engineer
A data engineer is responsible for designing, building, and maintaining the infrastructure that supports data storage, processing, and analysis. This Java Data Structures & Algorithms course helps data engineers understand and implement efficient data structures and algorithms for handling large datasets. Knowledge of data structures, such as trees and heaps, covered in this course may be useful in optimizing data storage and retrieval processes. Data engineers are better able to handle the challenges of big data environments when they understand Big O notation. This course can also help data engineers improve their problem-solving skills.
See salaries and explore the career path for Data Engineer
Data Scientist
The job of a data scientist involves analyzing large datasets to extract meaningful insights and develop data-driven solutions. This course may be useful to data scientists, particularly those who utilize Java. Because of it, data scientists are able to better understand data structures and algorithms covered, such as trees and hash tables, which are frequently used in data manipulation and analysis. Familiarity with Big O notation can help data scientists optimize their code. Data scientists also benefit from improved problem-solving skills.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
A machine learning engineer develops and deploys machine learning models. This course may be useful to machine learning engineers who use Java. Data structures and algorithms, such as graph traversal, may allow these professionals to create models effectively. Familiarity with Big O notation can help machine learning engineers optimize the performance of their models. Improved problem-solving skills covered in this Java Data Structures & Algorithms course may be helpful when tackling complex machine learning challenges.
See salaries and explore the career path for Machine Learning Engineer
Systems Architect
Systems architects design and oversee the implementation of complex computer systems. The study of Java Data Structures & Algorithms may be useful to systems architects especially when making informed decisions about the selection and implementation of appropriate data structures and algorithms for optimal system performance. The course's coverage of topics such as Big O notation provides a valuable foundation for systems architects. Improved problem-solving skills can assist systems architects in addressing complex design challenges.
See salaries and explore the career path for Systems Architect
Security Engineer
Security engineers protect computer systems and networks from security threats. This course may be helpful to security engineers, as understanding data structures and algorithms may allow them to develop more effective security solutions. For example, security engineers may employ graph traversal algorithms to identify network vulnerabilities or detect malicious activity. Understanding Big O notation can assist security engineers in analyzing the performance of security algorithms. Improved problem-solving skills covered in this Java Data Structures & Algorithms course can be valuable when addressing complex security challenges.
See salaries and explore the career path for Security Engineer
Database Administrator
The database administrator is responsible for managing and maintaining databases. This Java Data Structures & Algorithms course may be useful to DBAs, particularly with its possible coverage of data structures, such as trees and hash tables, that are relevant to database design and optimization. The course's coverage of subjects, such as Big O notation, would provide a foundation for analyzing the performance of database queries and operations. Enhanced problem-solving abilities can benefit the DBA when addressing database-related challenges.
See salaries and explore the career path for Database Administrator
Cloud Architect
Cloud architects design and manage cloud computing infrastructure and services. A cloud architect may find this course useful in designing scalable and efficient cloud-based solutions. Cloud architects may benefit from an understanding of data structures, such as trees and heaps, when optimizing data storage and retrieval in the cloud. Enhanced problem-solving skills can benefit cloud architects when addressing cloud-related challenges.
See salaries and explore the career path for Cloud Architect
Quantitative Analyst
Quantitative analysts develop and implement mathematical models for financial analysis and risk management. This course may be helpful to quantitative analysts, as understanding data structures and algorithms may allow them to develop more efficient and accurate financial models. For example, they may employ data structures, such as priority queues, to optimize trading strategies or manage risk more effectively. Understanding Big O notation can assist quantitative analysts in analyzing the performance of financial algorithms. Improved problem-solving skills can be valuable when addressing complex challenges in finance.
See salaries and explore the career path for Quantitative Analyst

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 Java Data Structures & Algorithms: Ace Coding Interviews!.
Cover image
Introduction to Algorithms, fourth edition
Save
Comprehensive textbook on algorithms, covering a wide range of topics including data structures, sorting, searching, graph algorithms, and dynamic programming. It provides rigorous analysis and clear explanations, making it suitable for both beginners and advanced learners. It is often used as a primary textbook in university-level algorithms courses and provides a strong theoretical foundation for the practical aspects covered in the course.
Introduction to Algorithms, fourth edition
Hardcover
$$$$
Introduction to Algorithms, fourth edition
Kindle Edition
$$$
Cracking the Coding Interview
Save
Is specifically designed to help programmers prepare for coding interviews. It covers a wide range of data structures and algorithms, along with common interview questions and problem-solving techniques. The book provides detailed explanations and solutions, as well as tips for acing the interview process. Given the course's focus on coding interviews, this book is an invaluable resource for practicing and mastering the necessary skills.
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
4.5 Filled star Filled star Filled star Filled star Half star
Effort
11.5 total hours
Via
Udemy
Instructor
Ahmed Elsakka
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Includes Leetcode challenges with video solutions, which provides learners with hands-on experience solving common interview questions
Covers Big O notation, which is essential for understanding algorithm efficiency and is a frequent topic in technical interviews
Explores a wide range of data structures, including linked lists, stacks, queues, trees, and graphs, which are fundamental for coding interviews
Teaches common algorithms like linear search, binary search, and various sorting algorithms, which are crucial for efficient problem-solving
Uses animations to explain complex concepts, which can help learners understand and memorize data structures and algorithms more easily
Requires familiarity with Java programming, so learners without prior Java experience may need to acquire those skills first
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