Data structures and algorithms are integral tools in creating effective, efficient, and reliable software. By studying them, programmers can enhance their coding abilities and gear up for technical interviews and complex real-world tasks. The following list details the best tutorials on data structures and algorithms to help you thrive in software development and interviews.
1. “Foundations of Data Structures and Algorithms Specialization” provides a solid understanding of data structures and algorithms, focusing particularly on their use in data science. The course encompasses various topics including arrays, hash-tables, heaps, trees, and graphs.
2. “Data Structures and Algorithms Specialization” delves into algorithms and data structures through practical coding problems and real-world applications. Prompting students to resolve nearly 100 programming woes, it sheds light on subjects such as greedy algorithms, binary search, and dynamic programming.
3. “Algorithms, Part I” imparts vital wisdom on algorithms and data structures, laying emphasis on Java implementations and performance analysis. The course navigates its way through basic data structures, sorting, and searching.
4. “Algorithms, Part II” is a continuation of the preceding module. It offers indispensable knowledge on algorithms and data structures, chiefly concentrating on graph and string algorithms. Students keen to explore the topic in depth can refer to the book ‘Algorithms,’ upon which the course is based.
5. “Algorithms and Data Structures Tutorial – Full Course for Beginners” focuses on the fundamental principles of algorithms and data structures. It comprises of three parts: algorithms, data structures, and a comprehensive analysis of sorting and searching algorithms.
6. “Algorithms Specialization” offers an insight into algorithms, directed towards those with some programming experience seeking conceptual clarity. It covers diverse topics to help learners prepare for technical discussions and interviews.
7. “Data Structures & Algorithms Using C++” is a self-paced course. It focuses on implementing data structures and algorithms in C++, centering on efficiency and real-world problem-solving.
8. “Foundations of Data Structures” starts with basic data types, and advances towards complex structures like sequences, trees, sets, maps, and graphs. This course forms part of a Computer Science curriculum that includes programming basics and more.
9. “Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues” revisits key Java methodologies and introduces the premise of time complexity.
10. “Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps” is an extension of the previous course, discussing in detail the time complexity associated with more complex data structures.
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