We may earn an affiliate commission when you visit our partners.

Data structure & algorithm in Java

From zero to hero

Muhammad Maaz

4.6

Based on 21 ratings

, see reviews

Muhammad Maaz

Hey guys this course if for those who just get in this Data structure and algorithm thing, this course is mostly theory and will cover only introduction concepts of DSA if you want to learn some advance concepts of DSA in future i am planning to cover some advanced concepts in detail

my course you will get each and everything in so much detail and easy manner I explained each concept using various practical examples I have divided this course in different sections:

Well courses that I have uploaded now is only first module:

First Section

Introduction to java

my course you will get each and everything in so much detail and easy manner I explained each concept using various practical examples I have divided this course in different sections:

Well courses that I have uploaded now is only first module:

First Section

Introduction to java

Introduction to programing Language
Origin of Java
Java relationship to C and C++

Second Section

Introduction to data structure and algorithm

Why we need Data structure?
What is Algorithm?
Definition of DSA
Classification of Data structure
Operation on data structure
Types of Algorithms

Third Section

Abstract data types

Types and Data types
Definition of ADT

Well, prerequisite for this course is just to have a basic knowledge of java concepts, however knowing how to code is not necessary

well, anyone who is interested in exploring some advance concepts of programing should learn data structure and algorithm as it introduces you the many new things that can make your code look cleaner and faster

By a clean code I don't mean to write a code without error but a code that consumes lesser number of lines and by faster, I mean to write a code that runs very fast.

Enroll now

Or start a personal plan

And upskill with Udemy

What's inside

Learning objectives

Learn to write a clean, correct and faster code that's according to my perspective is requirement of industry
Basic to advanced skills in java that helps you to do backend programing
Learn all types of algorithms used in data structure

Learn the philosophy of theory in so easy manner using practical examples
Learn what's happening inside a computer's memory while you write a code and how data is stored

Learn to write a clean, correct and faster code that's according to my perspective is requirement of industry
Basic to advanced skills in java that helps you to do backend programing
Learn all types of algorithms used in data structure
Learn the philosophy of theory in so easy manner using practical examples
Learn what's happening inside a computer's memory while you write a code and how data is stored

Syllabus

At the end of this module/section you will be able to learn the basics what is language? how java run its code and its compiler and relation inheritance from previous languages

this first module is just a description to a programing language do not leave those lectures this might build a motivation inside you towards a course just take it like a story

course lecture videos include arrays will be uploaded on 10th December and it will include following content

3. Arrays

1.1.1 Introduction to Array

1.1.2

2nd module class

29 November 2022

Declaration of an array

1.1.3 Array in memory

1.1.4 Create an Array

1.1.5 Types of Array

1.1.6 Static vs. Dynamic Arrays

1.1.7 How to Increase Array Size

1.1.8 2D Arrays

1.1.9 3D Arrays

2. Array as ADT

2.1.1 Array ADT

2.1.2 Insertion

2.1.3 Inserting in beginning

2.1.4

3rd module class

20th Dec 2022

Inserting in End

2.1.5 Inserting in nth position

2.1.6 Deletion

2.1.7 Deleting in beginning

2.1.8 Deleting in End

2.1.9 Deleting in nth position Searching for an element in Array One Dimensional Array Practice

2.1.10 Create Two Dimensional Array

2.1.11 Insertion - Two Dimensional Array

2.1.12 Accessing an element of Two Dimensional Array

2.1.13 Traversal - Two Dimensional Array

2.1.14 Searching for an element in Two Dimensional Array

2.1.15 Deletion - Two Dimensional Array

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides an introduction to data structures and algorithms (DSA) using Java, which is helpful for those new to both programming concepts and the Java language

Focuses on the theoretical aspects of DSA, which can help learners build a strong foundation before diving into more complex implementations and practical applications

Covers the relationship between Java and languages like C and C++, which may help learners understand Java's origins and its place in the broader programming landscape

Requires only a basic knowledge of Java concepts, making it accessible to individuals with limited programming experience who are looking to expand their skills

Includes quizzes after each section, which can help learners assess their understanding of the material and reinforce key concepts as they progress through the course

Teaches how to write cleaner and faster code, which is a valuable skill for any programmer and can lead to improved performance and maintainability of software applications

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Clear introduction to java dsa basics

According to learners, this course offers a very clear and easy to understand introduction to data structures and algorithms using Java. Students frequently highlight the quality of the explanations and find it particularly good for beginners starting from the very basics. The course is praised for building a solid foundation in fundamental concepts and theory. However, reviewers note that it primarily covers only basic concepts and theory, suggesting the title "From zero to hero" may set misleading expectations for depth and practical coding. Recent reviews are overwhelmingly positive, suggesting the content or delivery is well-received by current learners.

More theoretical overview than practical code.

"Only theory no code examples at all"

"pace is slow and only provides theory of DSA"

"Great start for DSA in Java. Fundamentals are good."

More recent feedback is highly favorable.

"Good for beginners and the explanations are very clear."

"It was very helpful. Great instructor."

"Perfect for beginners, explains concepts from very basics."

"I got valuable content from this course, instructor has nice way of teaching"

"Concepts were explained in a simple manner."

Excellent starting point for newcomers to DSA.

"The concepts are very well explained and the instructor makes learning easy. Good for beginners."

"Perfect for beginners, explains concepts from very basics."

"Great start for DSA in Java."

Concepts are easy to understand for beginners.

"The concepts are very well explained and the instructor makes learning easy. Good for beginners."

"simply explained each and every concept in easily understandable language."

"The concepts are very clear and easy to understand."

"Makes data structure and algorithm concepts easy to grasp."

Covers fundamentals but lacks advanced topics.

"It is too short course to be a Hero in DSA, but content was good for basics."

"It is only covering just the basics not up to hero level."

"This course is only introductory and not up to the mark as the title says 'From zero to hero'."

"It does not fulfill the promise the title conveys (i.e., From Zero to Hero)."

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 structure & algorithm in Java: From zero to hero with these activities:

Review Java Fundamentals

Show steps

Reinforce your understanding of core Java concepts, which are essential for grasping data structures and algorithms.

Show steps

Review basic syntax and data types.
Practice writing simple Java programs.
Understand object-oriented programming principles.

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

Show steps

Supplement your learning with a comprehensive textbook on data structures and algorithms in Java.

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

Show steps

Read the chapters corresponding to the course syllabus.
Work through the examples and exercises in the book.
Compare the book's explanations with the course lectures.

Implement Basic Data Structures

Show steps

Solidify your understanding by implementing basic data structures like arrays and linked lists in Java.

Show steps

Implement an array with insertion and deletion methods.
Implement a singly linked list with various operations.
Test your implementations thoroughly.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Help others in online forums

Show steps

Reinforce your understanding by helping other students with their questions and problems related to data structures and algorithms.

Show steps

Find online forums or communities related to Java and DSA.
Answer questions and provide guidance to other learners.
Explain concepts in your own words.

Create a Blog Post Explaining ADTs

Show steps

Deepen your understanding of Abstract Data Types (ADTs) by explaining them in a blog post.

Show steps

Research and understand the concept of ADTs.
Write a clear and concise blog post explaining ADTs.
Include examples and diagrams to illustrate the concepts.
Publish your blog post online.

Build a Simple Array-Based Application

Show steps

Apply your knowledge of arrays by building a simple application that utilizes them.

Show steps

Choose a simple application idea (e.g., a to-do list).
Design the application's data structures using arrays.
Implement the application in Java.
Test and debug your application.

Review 'Cracking the Coding Interview' by Gayle Laakmann McDowell

Show steps

Prepare for technical interviews by practicing data structure and algorithm problems.

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

Show steps

Select relevant chapters on arrays, linked lists, etc.
Attempt the practice problems in each chapter.
Review the solutions and explanations.

Career center

Learners who complete Data structure & algorithm in Java: From zero to hero will develop knowledge and skills that may be useful to these careers:

Java Developer

A Java developer specializes in building applications using the Java programming language. Java developers must possess a solid understanding of data structures and algorithms to design and implement efficient and performant applications. This course provides a specific introduction to data structures and algorithms using Java, covering topics such as arrays and abstract data types. The curriculum is designed to guide you from a basic understanding of Java to more advanced programming concepts. The course may be useful in learning to write cleaner and faster code that meets industry requirements.

See salaries and explore the career path for Java Developer

Software Engineer

A software engineer builds and maintains software systems. This role requires a strong understanding of data structures and algorithms to design efficient, scalable, and maintainable code. This course introduces data structures and algorithms, covering fundamental concepts such as arrays and abstract data types in Java. The course's focus on clean and efficient coding aligns with the goals of a software engineer, and the exploration of how data is stored in memory may be useful when optimizing software performance. The study of algorithm types and the application of data structures will help you effectively solve real-world software problems.

See salaries and explore the career path for Software Engineer

Backend Developer

A backend developer focuses on the server-side logic and databases that power applications. A backend developer should understand data structures and algorithms to design efficient APIs and data models. This course emphasizes core concepts of data structures and algorithms in Java, which may be useful when building robust and scalable backend systems. The course also provides a foundation of backend programming, which is highly applicable to back-end-development. By covering topics like abstract data types and different algorithm types, this course may help you write improved backend code.

See salaries and explore the career path for Backend Developer

Application Developer

An application developer creates software applications for various platforms. Application developers should know the concepts of data structures and algorithms to optimize application performance and user experience. This course introduces you to data structures and algorithms in Java, which may be useful for creating well-organized and efficient applications. The curriculum covers a range of topics, including algorithm types and abstract data types, which may be useful when developing different types of applications. Learning how to implement code that consumes fewer lines and runs faster may be useful in application development.

See salaries and explore the career path for Application Developer

Mobile App Developer

A mobile app developer creates applications for mobile devices, such as smartphones and tablets. Mobile app development often requires efficient data management and algorithm design to ensure smooth performance on resource-constrained devices. This course introduces the fundamentals of data structures and algorithms in Java. Topics such as arrays and abstract data types may be useful when building mobile applications. The course's emphasis on writing clean and efficient code may be useful when optimizing performance for mobile devices.

See salaries and explore the career path for Mobile App Developer

Game Developer

A game developer creates video games for various platforms. Game developers utilize data structures and algorithms extensively to manage game data, implement game logic, and optimize performance. This course provides an introduction to basic data structures and algorithms in Java. The course's coverage of abstract data types and algorithm types may be useful when designing game mechanics and optimizing game performance. The course's focus on writing efficient code may be useful for creating smooth and responsive game experiences.

See salaries and explore the career path for Game Developer

Data Scientist

A data scientist analyzes large datasets to extract meaningful insights. While data science heavily involves statistical analysis and machine learning, understanding data structures and algorithms allows data scientists to efficiently process and manipulate data. This course introduces basic data structures and algorithms in Java. The modules on abstract data types and algorithm types may be useful when working with data processing pipelines and machine learning algorithms. A data scientist can use this knowledge to optimize data processing workflows and improve the performance of machine learning models.

See salaries and explore the career path for Data Scientist

Database Administrator

A database administrator is responsible for managing and maintaining databases. Understanding data structures and algorithms is important for optimizing database performance and designing efficient data storage solutions. This course covers fundamental concepts of data structures, such as arrays and abstract data types, which may be useful for understanding how data is organized and manipulated within databases. Learning about the relationship between Java and other programming languages may broaden your perspective as a database administrator.

See salaries and explore the career path for Database Administrator

Quality Assurance Engineer

A quality assurance engineer tests software to identify and fix defects. A strong grasp of data structures and algorithms will allow the quality assurance engineer to design effective test cases and identify performance bottlenecks. This course introduces fundamental concepts of data structures and algorithms. Learning about different data structures and algorithm types may be useful when designing comprehensive tests. The course's focus on clean and fast coding may be useful when evaluating software performance and identifying areas for improvement.

See salaries and explore the career path for Quality Assurance Engineer

Systems Analyst

A systems analyst assesses and improves existing computer systems. Understanding data structures and algorithms will allow the systems analyst to evaluate the efficiency of data storage and retrieval processes. This course introduces you to data structures and algorithms and the basic programming concepts of Java. Gaining insights into how data is organized and accessed will help when optimizing system performance. The course's exploration of different algorithm types may be useful for selecting appropriate algorithms.

See salaries and explore the career path for Systems Analyst

Data Analyst

A data analyst examines data to identify trends, patterns, and insights. While not always essential, familiarity with data structures and algorithms may allow a data analyst to perform more sophisticated data manipulation and analysis. This course offers a broad introduction to data structures and algorithms, covering fundamental concepts such as arrays. The course's exploration of programing language may be useful when writing custom data analysis scripts. Furthermore, knowledge of data structures can aid in understanding how different data formats are organized.

See salaries and explore the career path for Data Analyst

Embedded Systems Engineer

An embedded systems engineer designs and develops software for embedded systems, which are specialized computer systems within devices like appliances and automobiles. Embedded systems often have limited resources, making efficient data structures and algorithms critical. This course provides an introduction to basic data structures and algorithms in Java. Understanding abstract data types and algorithm types may be useful when optimizing code for embedded systems. The course's focus on writing clean and fast code may be useful for maximizing performance on resource-constrained embedded platforms.

See salaries and explore the career path for Embedded Systems Engineer

DevOps Engineer

A DevOps engineer automates and streamlines software development and deployment processes. While DevOps roles are broad, understanding data structures and algorithms can help optimize infrastructure and application performance. This course introduces the basics of data structures and algorithms in Java. The course's focus on clean and efficient coding may be useful when scripting automation tasks. The knowledge may be useful when optimizing application deployment pipelines.

See salaries and explore the career path for DevOps Engineer

Technical Consultant

A technical consultant provides expert advice and guidance to clients on technical issues. While a technical consultant's expertise varies, an understanding of data structures and algorithms is valuable for assessing the performance and scalability of software systems. This course covers basic data structures and algorithms and may be useful when evaluating software systems. The course's introduction to programming may be useful for comprehending the underlying technical details.

See salaries and explore the career path for Technical Consultant

Information Security Analyst

An information security analyst protects computer systems and networks from cyber threats. While information security involves many specialized areas, understanding data structures and algorithms helps analyze and mitigate vulnerabilities. This course introduces the basic concepts of data structures and algorithms. Learning about how data is stored and manipulated may be useful when identifying and addressing security risks. Knowledge of different algorithm types may be useful for understanding how security protocols operate.

See salaries and explore the career path for Information Security 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 Data structure & algorithm in Java: From zero to hero.

Data Structures & Algorithms in Python

Save

Offers a clear and accessible introduction to data structures and algorithms using Java. It covers fundamental data structures like arrays, linked lists, stacks, queues, and trees, along with essential algorithms for sorting, searching, and graph traversal. The book includes numerous examples and exercises, making it ideal for self-study or as a supplement to the course material. It is particularly helpful for learners who prefer a hands-on approach with practical Java implementations.

Data Structures & Algorithms in Python (Developer's...

Paperback

$$$

Data Structures & Algorithms in Python

Kindle Edition

Cracking the Coding Interview

Save

While not a traditional textbook, this book is invaluable for anyone preparing for technical interviews, especially those involving data structures and algorithms. It covers a wide range of common interview questions and provides detailed solutions and explanations. It is particularly useful for reinforcing the concepts learned in the course and applying them to practical problem-solving scenarios. It also provides guidance on resume writing and interview strategies.

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

Help others find this course page by sharing it with your friends and followers:

Facebook

Copy Link

Similar courses

Similar courses are unavailable at this time. Please try again later.

Rating

4.6

Effort

2.5 total hours

Via

Udemy

Instructor

Muhammad Maaz

Language

English

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides an introduction to data structures and algorithms (DSA) using Java, which is helpful for those new to both programming concepts and the Java language

Focuses on the theoretical aspects of DSA, which can help learners build a strong foundation before diving into more complex implementations and practical applications

Covers the relationship between Java and languages like C and C++, which may help learners understand Java's origins and its place in the broader programming landscape

Requires only a basic knowledge of Java concepts, making it accessible to individuals with limited programming experience who are looking to expand their skills

Includes quizzes after each section, which can help learners assess their understanding of the material and reinforce key concepts as they progress through the course

Teaches how to write cleaner and faster code, which is a valuable skill for any programmer and can lead to improved performance and maintainability of software applications

Data structure & algorithm in Java

From zero to hero

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Clear introduction to java dsa basics

Activities

Career center

Reading list

Share

Similar courses