Data Structures & Algorithms – Building Blocks of Computing
About This Course
This course introduces learners to the fundamental data structures and algorithms that power all modern computing systems. Students will learn how to store, organize, and manipulate data efficiently, while developing problem-solving skills critical for advanced programming, software engineering, and technical interviews. Through hands-on coding exercises, projects, and real-world case studies, learners will not only understand the theory but also master the application of DS&A concepts.
Learning Objectives
Understand and implement core data structures such as arrays, linked lists, stacks, queues, trees, and graphs.
Analyze algorithm performance using time and space complexity (Big-O notation).
Apply searching, sorting, and hashing algorithms in practical scenarios.
Solve computational problems using recursion and dynamic programming techniques.
Translate abstract problems into efficient, real-world solutions.
Material Includes
- Downloadable slides and lecture notes.
- Code files for all data structures and algorithms.
- Problem sets and coding challenge guides.
- Real-world mini-projects (e.g., building a contact manager using trees/graphs).
- Quizzes and practice tests.
- Lifetime access to updates and resources.
Requirements
- Completion of Introduction to Computer Science or equivalent knowledge.
- Basic programming knowledge (preferably Python, Java, or C++).
- A computer with internet access.
- Recommended: Install Python 3.x and a code editor (VS Code, PyCharm, or similar).
Target Audience
- Beginners who have completed Introduction to Computer Science and want to deepen their skills.
- Aspiring software engineers preparing for coding interviews and technical tests.
- Computer science students who want a stronger grasp of DS&A.
- Developers who want to sharpen problem-solving and optimization skills
Your Instructors
Bright Webilor
See moreMaterial Includes
- Downloadable slides and lecture notes.
- Code files for all data structures and algorithms.
- Problem sets and coding challenge guides.
- Real-world mini-projects (e.g., building a contact manager using trees/graphs).
- Quizzes and practice tests.
- Lifetime access to updates and resources.
