Data Structures and Algorithms with Java
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Introduction to Data Structures and AlgorithmsOverview of Data Structures and Algorithms with Java
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Importance of Data Structures and Algorithms in Programming with Java
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How to Choose the Right Data Structure or Algorithm for a given Problem with Java
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Basic Java Concepts ReviewVariables and Data Types in Java
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Control Flow Statements in Java
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Classes and Objects in Java
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Methods and Constructors in Java
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Basic Input and Output in Java
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Data StructuresArrays in Java
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Stacks and Queues in Java
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Linked Lists in Java
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Hash Tables in Java
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Trees in Java
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Types of TreesBinary Search Trees in Java
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Cartesian Trees in Java
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B-Trees in Java
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Red-Black Trees in Java
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Splay Trees in Java
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AVL Trees in Java
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KD Trees in Java
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Min Heap in Java
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Max Heap in Java
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Trie Trees in Java
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Suffix Trees in Java
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Sorting AlgorithmsQuicksort in Java
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Mergesort in Java
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Timsort in Java
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Heapsort in Java
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Bubble Sort in Java
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Insertion Sort in Java
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Selection Sort in Java
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Tree Sort in Java
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Shell Sort in Java
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Bucket Sort in Java
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Radix Sort in Java
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Counting Sort in Java
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Cubesort in Java
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Searching AlgorithmsLinear Search in Java
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Binary Search in Java
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Graph AlgorithmsBreadth First Search (BFS) in Java
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Depth First Search (DFS) in Java
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Dijkstra's Algorithm in Java
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Algorithm Design TechniquesGreedy Algorithms in Java
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Dynamic Programming in Java
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Divide and Conquer in Java
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Backtracking in Java
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Randomized Algorithms in Java
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ConclusionRecap of DSA in Java
Participants 681
Recap of DSA in Java
This course has provided a comprehensive introduction to the core concepts of data structures and algorithms. You have been introduced to an extensive array of 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. Additionally, you have learned about many different sorting and searching algorithms, as well as various algorithm design techniques such as greedy algorithms, dynamic programming, divide and conquer, backtracking, and randomized algorithms.
Moreover, you have been given the opportunity to more adequately understand the trade-offs between different data structures and algorithms through the study of Time and Space Complexity analysis. Additionally, you have had the chance to apply your knowledge and practice your skills through a number of hands-on exercises and examples.
By completing this course, you have obtained the essential knowledge and abilities necessary to become proficient in data structures and algorithms. Your newfound understanding of data structures and algorithms will enable you to choose the most suitable data structure and algorithm for any given problem, and employ them efficiently and effectively in Java. This will help you to further enrich your development skills in preparation for a career in computer science and data science.
We thank you for taking this course, and hope that the information and concepts included in it have been both helpful and informative. We 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.