Description
Learning Data Structures and Algorithms course. In the rapidly evolving field of software development, a strong foundation in data structures and algorithms is essential to building efficient and scalable applications. This course is designed to convey these basic concepts. Beginning with the basics, the course gradually navigates through a broad landscape of data structures, including arrays, linked lists, trees, and hash tables. Each module is designed to provide a balance of theoretical knowledge, combined with practical coding experience. You will 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? Enter 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, ensuring that learners can contextualize their application and importance. Understanding these core concepts will not only equip you with technical knowledge, but also strengthen your critical thinking skills. As you progress, the course delves into the more complex details of each topic, emphasizing their relevance and relevance in modern software engineering. Whether you’re looking for a new role, a project or personal development, this course will be useful to you. Additionally, you’ll gain confidence in tackling complex challenges, fostering innovation, and strengthening problem-solving skills in real-world software scenarios.
What you will learn in the Learning Data Structures and Algorithms course
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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 routing 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, ensuring efficient software development.
This course is suitable for people who
- Aspiring developers and programmers looking to deepen their understanding of the core components of programming: data structures and algorithms.
Learning Data Structures and Algorithms course specifications
- Publisher: Udemy
- teacher: Scott Tremaine
- Training level: beginner to advanced
- Training duration: 6 hours and 8 minutes
- Number of courses: 22
Learning Data Structures and Algorithms course headings
Learning Data Structures and Algorithms course prerequisites
- Prior experience with an Integrated Development Environment (IDE) like 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 images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.43 GB
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