Udemy – Data Structures in C++ 2023-5

Udemy – Data Structures in C++ 2023-5 Downloadly IRSpace

Aug 16, 2025 - 07:30 Updated: Aug 17, 2025 - 20:07

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Udemy – Data Structures in C++ 2023-5

Data Structures in C++ is a course on the fundamental concepts and implementation of data structures using the C++ programming language published by Udemy Online Academy. This is a foundational course that introduces learners to the fundamental concepts and implementation of data structures using the C++ programming language. Designed for beginners and intermediate-level developers, this course emphasizes the theoretical understanding and practical application of data structures to efficiently solve computational problems. Data Structures is an essential course for students majoring in data science, computer science, or a related field. This course provides a solid foundation in understanding the core concepts and techniques necessary to write high-quality programs and develop efficient algorithms.

By studying these topics and mastering the relevant concepts and techniques, students will gain the skills necessary to design efficient algorithms, solve practical problems using appropriate data structures, and analyze the performance of algorithms. This knowledge is crucial for software development in data science and related fields, as it provides a solid foundation for developing robust and efficient applications. In the end, individuals gain strong problem-solving skills, a deep understanding of how data structures affect performance, and the ability to write optimized C++ code for real-world applications.

What you will learn in Data Structures in C++:

Demonstrate your knowledge of data structure concepts, logical structure, and data storage structure, and their basic operations.
Demonstrate your ability to solve practical problems using appropriate data structures and methods.
Master the design and analysis methods of search and sorting algorithms.
Learn the full concepts of strings, arrays, linked lists, stacks, queues, recursion, trees, binary search trees, graphs, and more.
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