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Data Structures and Algorithms with C++

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This course provided an in-depth look into the core concepts of data structures and algorithms, including various data structures such as arrays, stacks, queues, linked lists, skip lists, hash tables, binary search trees, Cartesian trees, B-trees, red-black trees, splay trees, AVL trees, and KD trees. In addition, learners were exposed to a variety of sorting and searching algorithms, as well as algorithm design techniques such as greedy algorithms, dynamic programming, divide and conquer, backtracking, and randomized algorithms.

Moreover, learners had the opportunity to understand the trade-offs between different data structures and algorithms through the study of Time and Space Complexity analysis, as well as apply their knowledge and practice their skills through a number of hands-on exercises and examples. After completing this course, learners gained the essential knowledge and abilities necessary to become proficient in data structures and algorithms.

This knowledge and understanding of data structures and algorithms can help learners to become better and more efficient developers, especially in the field of computer science and data science. We thank you for taking this course and encourage you to keep exploring and honing your data structures and algorithms skills, as well as continuing to expand your knowledge and grow as a programmer.