Data Structures and Algorithms Complete Course

This Complete Data Structure and Algorithm Course Using CPP & JAVA is designed to help you master how to handle data and solve complex problems using C++ and Java, two of the most popular programming languages.

This DSA course in C++ and Java offered by GeeksforGeeks is ideal for anyone looking to enhance their coding skills, from basic to advanced levels. Throughout the course, you will explore both fundamental and complex data structures, including arrays, linked lists, stacks, queues, trees, and graphs. Additionally, we will cover essential algorithms such as sorting, searching, and hashing. You will also learn about the time and space complexity of data structures and algorithms, as well as key concepts like recursion, Big O notation, dynamic programming, divide-and-conquer algorithms, and greedy algorithms, which are vital for efficient data manipulation and retrieval.

So, whether you're aiming for a role in a top tech company or simply looking to upgrade your programming skills, this DSA course will provide you with all the tools necessary for success.

This DSA using CPP and JAVA course is curated by competitive programming experts and industry veterans, including GeeksforGeeks CEO Mr. Sandeep Jain, ensuring you receive top-notch training and skill enhancement.

Why Learn DSA?

Mastering DSA is crucial for understanding the software development process, optimizing code for performance, and cracking technical interviews at top tech firms. It also enhances your problem-solving skills, making you a proficient programmer and a desirable candidate in the competitive tech industry.

Who Should Enroll this DSA Course

Students: College and university students who want to improve their critical problem-solving skills and get hands-on experience.
Aspiring Programmers: Those who want to become software developers, System engineers, Data engineers or work in tech-related fields.
Professional Developers/Software Engineers: Experienced developers who want to deepen their knowledge of advanced data structures and algorithms to improve their problem-solving skills and advance their careers.

Prerequisites:

Programming Knowledge: To enroll in this course you should have prior knowledge of C++ and Java.

Course Materials:

Online Resources: Access to coding platforms and exercises for hands-on practice.
Software: Guidance on setting up the development environment.

Instructor:

This Complete Data Structure Algorithm Course Using CPP & JAVA course is developed and taught by industry experts and competitive programming enthusiasts, including GeeksforGeeks CEO Mr. Sandeep Jain, who brings their experience and expertise to provide you with the best learning experience.

What's inside

Learning objectives

Data structures
Algorithms
Cpp

Java
Arrays

Data structures
Algorithms
Cpp
Java
Arrays

Syllabus

DSA - What, Why and How ?

Why is DSA Important ??

Roadmap to learn DSA

Analysis of Algorithms

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers essential algorithms such as sorting, searching, and hashing, which are vital for efficient data manipulation and retrieval in real-world applications

Taught by industry experts and competitive programming enthusiasts, including GeeksforGeeks CEO Mr. Sandeep Jain, who brings experience and expertise to provide the best learning experience

Requires prior knowledge of C++ and Java, which may necessitate additional learning for individuals without a background in these languages

Explores both fundamental and complex data structures, including arrays, linked lists, stacks, queues, trees, and graphs, which are essential for software development

Includes guidance on setting up the development environment, which is helpful for beginners but may be redundant for experienced developers

Examines the time and space complexity of data structures and algorithms, as well as key concepts like recursion and Big O notation, which are vital for efficient data manipulation

Reviews summary

Comprehensive dsa course for interviews

According to learners, this course provides a comprehensive foundation in Data Structures and Algorithms using both C++ and Java. Students highlight the clear explanations and structured approach, often finding it immensely valuable for technical interview preparation. The inclusion of practice problems and hands-on coding activities is seen as a significant positive. While covering a wide array of topics from basics like arrays and recursion to advanced concepts like dynamic programming and graphs, some mention that prior knowledge of C++ or Java is indeed a necessary prerequisite. Overall, the course is described as a solid resource for building crucial problem-solving skills.

Concepts taught in both languages.

"The support for both C++ and Java is a great feature, catering to a wider audience."

"Learning DSA in both languages helped me understand the concepts from different perspectives."

"While useful, switching between C++ and Java examples can be a bit challenging if you are only strong in one language."

Requires prior programming experience.

"As mentioned, having prior knowledge in C++ or Java is really necessary to keep up."

"If you are completely new to programming, this course might be too fast-paced."

"Came in with basic Java knowledge and found the pace manageable, but wouldn't recommend for total beginners."

Hands-on coding exercises reinforce learning.

"The practice problems are very helpful for understanding how to apply the concepts learned."

"Coding along with the examples and solving problems improved my skills significantly."

"I liked that there were plenty of exercises to solidify my understanding after each topic."

Wide range of DSA topics covered in depth.

"The course covers almost all essential data structures and algorithms required."

"From arrays to graphs and dynamic programming, the syllabus is very comprehensive."

"I feel I have a strong grasp on DSA fundamentals after completing this course."

Excellent preparation for technical interviews.

"This course was exactly what I needed to prepare for technical interviews at top companies."

"Helped me crack interviews by solidifying my DSA knowledge and problem-solving skills."

"Many of the problems covered are typical interview questions, which is very useful."

Instructor breaks down complex topics effectively.

"The explanations are very clear and easy to follow, making complex DSA concepts understandable."

"The instructor's teaching style is excellent, simplifying even the most difficult parts."

"I really appreciate how the topics were explained step-by-step with great clarity."

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 Complete Course - CPP & JAVA with these activities:

Review C++ Fundamentals

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Strengthen your understanding of C++ syntax, data types, and control structures to prepare for the C++ portions of the DSA course.

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Review basic C++ syntax and data types.
Practice writing simple C++ programs.
Complete online C++ tutorials and exercises.

Review Java Fundamentals

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Strengthen your understanding of Java syntax, data types, and control structures to prepare for the Java portions of the DSA course.

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Review basic Java syntax and data types.
Practice writing simple Java programs.
Complete online Java tutorials and exercises.

Implement Basic Data Structures

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Practice implementing fundamental data structures like linked lists, stacks, and queues in both C++ and Java to solidify your understanding.

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Implement a singly linked list in C++ and Java.
Implement a stack using arrays in C++ and Java.
Implement a queue using linked lists in C++ and Java.

Four other activities

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Show all seven activities

Review: Introduction to Algorithms

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Use this book as a reference to deepen your understanding of the algorithms covered in the course.

View Introduction to Algorithms, fourth edition on Amazon

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Read relevant chapters on sorting, searching, and graph algorithms.
Work through the exercises and problems in the book.

Explore Advanced Sorting Algorithms

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Follow tutorials to learn and implement advanced sorting algorithms like merge sort, quicksort, and heap sort in C++ and Java.

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Find tutorials on merge sort, quicksort, and heap sort.
Implement each algorithm in both C++ and Java.
Analyze the time and space complexity of each implementation.

Review: Cracking the Coding Interview

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Use this book to practice solving coding problems related to data structures and algorithms.

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

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Solve practice problems from the book related to course topics.
Review the solutions and explanations provided.

Build a Simple Search Engine

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Create a basic search engine using data structures and algorithms learned in the course to index and search a collection of documents.

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Design the data structures for indexing documents.
Implement the indexing and search algorithms in C++ or Java.
Test the search engine with a sample dataset.

Career center

Learners who complete Data Structures and Algorithms Complete Course - CPP & JAVA will develop knowledge and skills that may be useful to these careers:

Algorithm Engineer

An algorithm engineer specializes in designing and implementing algorithms for various applications. This DSA course using CPP and JAVA is perfectly suited for aspiring algorithm engineers, as it provides in-depth knowledge of both data structures and algorithm design principles. The comprehensive exploration of fundamental and complex data structures, including arrays, linked lists, stacks, queues, trees, and graphs, helps build a strong foundation. The course's coverage of essential algorithms like sorting, searching, and hashing, along with crucial concepts like recursion, Big O notation, dynamic programming, and divide-and-conquer algorithms, equips an Algorithm Engineer with the tools necessary for efficient problem-solving and algorithm creation. The instruction from experts in competitive programming is also invaluable.

See salaries and explore the career path for Algorithm Engineer

Software Developer

A software developer creates applications that allow users to perform specific tasks on a computer or other device. This DSA course using CPP and JAVA is directly relevant, as software developers frequently employ data structures and algorithms to optimize code and solve complex problems. The course's coverage of data structures like arrays, linked lists, and trees, along with algorithms for sorting and searching, helps build a strong foundation for efficient software development. Additionally, the focus on time and space complexity, recursion, and Big O notation helps a Software Developer write high-performance code. This course may be particularly helpful for developers working on performance-critical applications.

See salaries and explore the career path for Software Developer

Backend Developer

Backend developers build and maintain the server-side logic that powers web and mobile applications. This DSA course using CPP and JAVA is highly relevant, as backend development involves designing and implementing efficient algorithms and data structures to handle user requests and manage data. The course's coverage of data structures like arrays, linked lists, and trees helps build a strong foundation for efficient data storage and retrieval. Also, the knowledge of sorting and searching algorithms helps a Backend Developer optimize database queries and API endpoints. The emphasis on time and space complexity, recursion, and Big O notation equips the Backend Developer with the tools necessary to build scalable and high-performance applications.

See salaries and explore the career path for Backend Developer

Data Engineer

Data engineers build and maintain the infrastructure that supports data storage, processing, and analysis. This DSA course using CPP and JAVA is directly applicable, as it provides a strong foundation in data structures and algorithms, which are essential for efficient data management. The course's coverage of data structures like arrays, linked lists, and trees enhances the ability to design and implement efficient data pipelines. The knowledge of sorting and searching algorithms helps in optimizing data retrieval and processing. The emphasis on time and space complexity ensures the Data Engineer can build scalable and high-performance data infrastructure. Furthermore, proficiency in C++ and Java, as emphasized in this course, is helpful for working with various data processing frameworks.

See salaries and explore the career path for Data Engineer

Game Developer

Game developers create video games for various platforms. This DSA course using CPP and JAVA is very relevant, as game development often involves complex algorithms and data management. The course's coverage of data structures like trees and graphs helps a Game Developer efficiently represent the game world and character relationships. Knowledge of sorting and searching algorithms is invaluable for optimizing game performance and AI behavior. The focus on time and space complexity, dynamic programming, and greedy algorithms may help in developing efficient game logic and resource management. Furthermore, familiarity with C++ and Java, as emphasized in the course, is crucial for game development using popular engines like Unity and Unreal Engine.

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Embedded Systems Engineer

Embedded systems engineers design and develop software for embedded systems, which are specialized computer systems within devices. This DSA course using CPP and JAVA is particularly valuable for embedded systems engineers, as resource optimization is paramount in embedded environments. The course's coverage of data structures and algorithms helps build a foundation for efficient code development. The emphasis on time and space complexity, recursion, and Big O notation equips the Embedded Systems Engineer with the skills necessary to write code that minimizes memory usage and maximizes performance. The focus on C++ and Java is highly relevant, as these languages are commonly used in embedded systems programming.

See salaries and explore the career path for Embedded Systems Engineer

Machine Learning Engineer

Machine Learning Engineers develop and deploy machine learning models. This DSA course using CPP and JAVA is valuable, as it helps build a strong foundation in algorithms and data structures, which are crucial for efficient model training and deployment. The course's coverage of data structures like arrays, linked lists, and trees, as well as algorithms for sorting and searching, helps in optimizing data preprocessing and feature engineering. The emphasis on time and space complexity, dynamic programming, and greedy algorithms equips the Machine Learning Engineer with the skills to develop efficient and scalable machine learning solutions. The experience with C++ and Java is especially valuable, as these languages are often used in machine learning frameworks.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data scientists analyze large datasets to extract meaningful insights and inform decision-making. This DSA course using CPP and JAVA may be useful, as a core part of data science involves algorithm design and optimization. The thorough coverage of data structures like arrays, linked lists, and graphs provides a foundation for efficiently handling and processing data. The course's exploration of sorting, searching, and hashing algorithms improves a data scientist's ability to develop effective data analysis pipelines. The emphasis on time and space complexity, dynamic programming, and greedy algorithms may help in creating efficient algorithms for machine learning and data mining. Further, the course will allow a Data Scientist to customize existing algorithms.

See salaries and explore the career path for Data Scientist

Firmware Engineer

Firmware engineers develop low-level software that controls hardware devices. This DSA course using CPP and JAVA may be valuable, as working with hardware often requires efficient data manipulation and algorithmic thinking. The course’s coverage of fundamental data structures like arrays and linked lists, as well as essential algorithms for sorting and searching, helps build a foundation for developing optimized firmware. The emphasis on time and space complexity, recursion, and Big O notation may help the Firmware Engineer write code that is both efficient and reliable. Further, the focus on C++ and Java provides practical skills for working with different hardware platforms.

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Quantitative Analyst

Quantitative analysts, often called quants, use mathematical and statistical methods to solve financial problems. This DSA course using CPP and JAVA may be helpful, as financial modeling often involves complex algorithms and data structures. The course’s coverage of data structures like arrays and trees, along with essential algorithms for sorting and searching, provides a strong foundation for working with financial data. The emphasis on time and space complexity, dynamic programming, and recursion helps a Quantitative Analyst develop efficient algorithms for pricing derivatives, managing risk, and optimizing investment strategies. The quantitative nature of this role may require an advanced degree.

See salaries and explore the career path for Quantitative Analyst

Systems Architect

A systems architect is responsible for designing and overseeing the implementation of complex software systems. This DSA course using CPP and JAVA may be valuable to a systems architect by providing a deeper understanding of how software components interact and perform. The thorough coverage of data structures such as arrays, linked lists, and trees, as well as algorithms for sorting and searching, helps build a foundation for efficient data management. Furthermore, the emphasis on time complexity, space complexity, and Big O notation helps in making informed decisions about system design and optimization. This course may be especially beneficial in designing systems that require high performance and scalability.

See salaries and explore the career path for Systems Architect

Security Engineer

Security engineers protect computer systems and networks from cyber threats. This DSA course using CPP and JAVA may be useful to a Security Engineer, as a deep understanding of data structures and algorithms is essential for analyzing and mitigating security vulnerabilities. The course’s coverage of data structures like arrays, linked lists, and trees can help in analyzing network traffic and identifying malicious patterns. The knowledge of sorting and searching algorithms helps in detecting and responding to security incidents. The emphasis on time and space complexity ensures efficient analysis of security logs and threat intelligence data. Comfort with C++ and Java can also be valuable in developing security tools and applications.

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Research Scientist

Research scientists conduct experiments and analyze data to advance knowledge in a particular field. Often, this role requires an advanced degree (master's or phd for example). This DSA course using CPP and JAVA may be useful for a research scientist, especially in fields that involve computational modeling or data analysis. A thorough knowledge of data structures and algorithms provides a strong foundation for developing efficient algorithms for data processing and simulation. The course’s coverage of time and space complexity, recursion, dynamic programming, and greedy algorithms can help a Research Scientist optimize code and analyze experimental data. This course can be particularly relevant for research scientists in computer science, physics, or engineering.

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Database Administrator

Database administrators manage and maintain databases, ensuring data is stored, organized, and accessible. This DSA course using CPP and JAVA may be useful because understanding data structures and algorithms can greatly improve database performance and optimization. The course’s coverage of arrays, linked lists, trees, and hashing helps build a foundation for efficient data storage and retrieval. Also, knowledge of sorting and searching algorithms helps a Database Administrator optimize database queries and indexing strategies. Familiarity with time and space complexity, recursion, and Big O notation is helpful for making informed decisions about database design and performance tuning. This course may be particularly applicable to those working with large datasets.

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DevOps Engineer

DevOps engineers automate and streamline the software development and deployment process. This DSA course using CPP and JAVA may be useful, as understanding data structures and algorithms can help optimize deployment pipelines and infrastructure management. The course’s coverage of arrays, linked lists, and trees helps in managing configuration data and infrastructure resources efficiently. The knowledge of sorting and searching algorithms helps in optimizing deployment scripts and automation tasks. The emphasis on time and space complexity ensures the DevOps Engineer can build scalable and high-performance deployment systems. Further, familiarity with C++ and Java may be helpful for working with various automation tools.

See salaries and explore the career path for DevOps Engineer

Data Structures and Algorithms Complete Course - CPP & JAVA

What's inside

Learning objectives

Syllabus

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Reviews summary

Comprehensive dsa course for interviews

Activities

Career center

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