Data Structures & Algorithms IV

By gowtham bhargav / August 17, 2026

Organization: edX Partner

Location: Online

Enroll in free online course ‘Data Structures & Algorithms IV’ provided by edX Partner on edX. Gain credentials and skills at your own pace.

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Course Details:

Duration: Self-paced
Level: Advanced
Format: Online course
Provider: edX Partner

Learning Objectives:

Gain a deep understanding of data structures and algorithms
Learn how to design and implement efficient algorithms
Develop skills in data structures such as arrays, linked lists, stacks, and queues
Understand the importance of time and space complexity in algorithm design

What You Will Learn:

Data structures: arrays, linked lists, stacks, queues, trees, and graphs
Algorithms: sorting, searching, and graph algorithms
Design and analysis of algorithms
Big-O notation and time/space complexity

Assessment and Evaluation:

Quizzes and assignments to assess your understanding of the course material
Project work to apply your knowledge in real-world scenarios
Peer review and feedback to enhance your learning experience

Why Take This Course:

Gain a strong foundation in data structures and algorithms
Enhance your problem-solving skills and critical thinking
Improve your employability and career prospects
Stay up-to-date with the latest advancements in data structures and algorithms

Who Should Take This Course:

Software developers and engineers
Computer science students and professionals
Data analysts and scientists
Anyone interested in learning data structures and algorithms

Prerequisites:

Basic understanding of computer science and programming concepts
Experience with data structures and algorithms is recommended but not required

Target Audience:

Software developers and engineers
Computer science students and professionals
Data analysts and scientists
Anyone interested in learning data structures and algorithms

Course Schedule:

No fixed schedule; learn at your own pace
Access course materials and assignments anytime

Course Format:

Online course with video lectures, readings, and assignments
Self-paced learning with flexibility to learn anytime

Course Provider:

edX Partner
Reputable and experienced provider of online courses

Course Certificate:

Get a certificate upon completion of the course
Certificate is issued by edX Partner

Additional Resources:

Additional readings and resources provided for further learning
Access to online communities and forums for discussion and support

Technical Requirements:

Internet connection and a computer or mobile device
Web browser and internet access

Course Outline:

Module 1: Introduction to Data Structures and Algorithms
Module 2: Arrays and Linked Lists
Module 3: Stacks and Queues
Module 4: Trees and Graphs
Module 5: Sorting and Searching Algorithms
Module 6: Graph Algorithms
Module 7: Design and Analysis of Algorithms
Module 8: Big-O Notation and Time/Space Complexity

Course Topics:

Data Structures: arrays, linked lists, stacks, queues, trees, and graphs
Algorithms: sorting, searching, and graph algorithms
Design and Analysis of Algorithms
Big-O Notation and Time/Space Complexity
Advanced Topics: dynamic programming, memoization, and caching

Course Assessment:

Quizzes and assignments to assess your understanding of the course material
Project work to apply your knowledge in real-world scenarios
Peer review and feedback to enhance your learning experience

Course Support:

Access to online communities and forums for discussion and support
Additional readings and resources provided for further learning
Support from the course instructor and edX Partner team

Course Duration:

Self-paced learning; complete the course at your own pace
Access course materials and assignments anytime

Course Format:

Online course with video lectures, readings, and assignments
Self-paced learning with flexibility to learn anytime

Course Provider:

edX Partner
Reputable and experienced provider of online courses

Course Certificate:

Get a certificate upon completion of the course
Certificate is issued by edX Partner

Additional Information:

Course is designed for software developers and engineers, computer science students and professionals, data analysts and scientists, and anyone interested in learning data structures and algorithms
Course is self-paced and can be completed at your own pace
Access course materials and assignments anytime