Description
Course to learn data structures and algorithms. In the rapidly evolving field of software development, a solid foundation in data structures and algorithms is essential for developing efficient and scalable applications. This course is designed to teach these core concepts. Starting with the basics, the course gradually navigates a broad landscape of data structures, including arrays, linked lists, trees, and hash tables. Each module is designed to provide a balanced mix of theoretical knowledge and practical programming experience. You’ll learn not only the “how” but also the “why” behind the functionality and application of each data structure. But what is data without its processing tools? Getting Started with Algorithms Dive deep into the world of algorithms, from basic sorting and searching techniques to more advanced algorithms for routing and data balancing. Each algorithmic method is presented with real-world scenarios to ensure learners can contextualize their application and importance. By understanding these core concepts, you’ll not only gain technical knowledge, but also strengthen your critical thinking skills. As the course progresses, it delves into the more complex details of each topic, emphasizing their relevance and relevance to modern software development. Whether you’re looking for a new role, project, or personal development, this course will be useful. In addition, you’ll gain confidence in tackling complex challenges, driving innovation, and strengthening your problem-solving skills in real-world software scenarios.
What you will learn in the course “Learning Data Structures and Algorithms”
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Understand and implement basic data structures such as arrays, linked lists, trees, and hash tables to effectively organize data.
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Use basic algorithms, including sorting, searching, and forwarding, to optimize data processing and problem solving.
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Apply practical coding practices to real-world challenges, strengthening problem-solving and algorithmic thinking skills.
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Evaluate and select appropriate data structures and algorithms for specific programming scenarios to ensure efficient software development.
This course is suitable for people who
- Budding developers and programmers who want to deepen their understanding of the core components of programming: data structures and algorithms.
Course specifications for learning data structures and algorithms
- Editor: Udemy
- Teacher: Scott Tremaine
- Training level: beginner to advanced
- Training duration: 6 hours and 8 minutes
- Number of courses: 22
Course titles for learning data structures and algorithms
Course prerequisites for learning data structures and algorithms
- Previous experience with an integrated development environment (IDE) such as Visual Studio Code.
- Basic understanding of programming concepts such as variables, loops, and conditional statements.
- Basic understanding of using methods and creating objects with classes
Course pictures
Sample video of the course
installation Guide
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Subtitles: None
Quality: 720p
Download link
free download software
Size
1.43GB