08-23-2024, 11:49 PM
![[Image: 3de1996857adeebf13fb3edebade9a54.jpg]](https://i123.fastpic.org/big/2024/0824/54/3de1996857adeebf13fb3edebade9a54.jpg)
Data Structures and Algorithms-Deep Dive into Core Concepts
Last updated 6/2024
Duration: 16h24m | .MP4 1280x720, 30 fps® | AAC, 44100 Hz, 2ch | 5.18 GB
Genre: eLearning | Language: English
Mastering the Essentials of Efficient Programming
What you'll learn
Understand the foundational data structures such as arrays, linked lists, stacks, queues, hash tables, graphs and trees,
Gain a thorough understanding of various sorting and searching algorithms, including quicksort, mergesort, and binary search
Delve into graph theory and learn essential graph algorithms, including depth-first search (DFS), breadth-first search (BFS), Dijkstra's algorithm and MST
Develop strong problem-solving skills by applying data structures and algorithms to real-world scenarios and coding challenges.
Requirements
Proficiency in at least one programming language (such as Python, Java, C++, or similar), including an understanding of syntax, control structures (if-else, loops), and basic data types.
Experience with solving basic coding problems and an ability to think algorithmically.
Students should have access to a computer with an internet connection to participate in online lectures, complete assignments, and access course materials and coding platforms.
Description
"Data Structures and Algorithms: Mastering the Essentials of Efficient Programming" is a meticulously crafted course designed to provide students with a comprehensive understanding of the foundational concepts crucial for proficient coding and problem-solving in software development.
Throughout this course, participants will embark on an enriching journey through a diverse array of topics, immersing themselves in the intricate realm of data structures. From the rudimentary structures like arrays and linked lists to the more complex entities such as stacks, queues, hash tables, trees, graphs, heaps, and balanced trees, every facet is meticulously explored. Through a blend of interactive lectures, engaging discussions, and hands-on exercises, students not only grasp the theoretical underpinnings but also gain practical experience in implementing these structures efficiently.
The curriculum extends beyond mere data structures to encompass algorithmic design principles, equipping students with a diverse toolkit of problem-solving techniques. Furthermore, the course covers a broad spectrum of essential sorting and searching algorithms, empowering students with the ability to tackle diverse computational challenges. Additionally, graph algorithms like depth-first search (DFS), breadth-first search (BFS), and Dijkstra's algorithm are explored in depth, with a focus on understanding their practical applications in software engineering.
By the culmination of the course, students will emerge equipped with a robust foundation in data structures and algorithms, enabling them to write elegant, scalable code and navigate complex programming tasks with confidence. Whether they are aspiring software engineers seeking to kickstart their careers, seasoned developers aiming to refine their skill set, or individuals preparing for technical interviews or competitive programming competitions, this course caters to a wide spectrum of skill levels and career objectives.
Who this course is for:
Undergraduate or graduate students studying computer science, software engineering, or related fields who want to deepen their understanding of fundamental algorithms and data structures.
Individuals with a passion for coding and problem-solving who are eager to explore advanced topics in algorithms and data structures to improve their programming skills.
Enthusiasts or participants in programming competitions like ACM ICPC, Google Code Jam, or LeetCode who want to sharpen their algorithmic skills and improve their performance in competitive programming.
Individuals transitioning into careers in tech who want to build a strong foundation in algorithms and data structures to pursue roles in software development or data science.
![[Image: WBJIxHEB_o.jpg]](https://images2.imgbox.com/52/6d/WBJIxHEB_o.jpg)
What you'll learn
Understand the foundational data structures such as arrays, linked lists, stacks, queues, hash tables, graphs and trees,
Gain a thorough understanding of various sorting and searching algorithms, including quicksort, mergesort, and binary search
Delve into graph theory and learn essential graph algorithms, including depth-first search (DFS), breadth-first search (BFS), Dijkstra's algorithm and MST
Develop strong problem-solving skills by applying data structures and algorithms to real-world scenarios and coding challenges.
Requirements
Proficiency in at least one programming language (such as Python, Java, C++, or similar), including an understanding of syntax, control structures (if-else, loops), and basic data types.
Experience with solving basic coding problems and an ability to think algorithmically.
Students should have access to a computer with an internet connection to participate in online lectures, complete assignments, and access course materials and coding platforms.
Description
"Data Structures and Algorithms: Mastering the Essentials of Efficient Programming" is a meticulously crafted course designed to provide students with a comprehensive understanding of the foundational concepts crucial for proficient coding and problem-solving in software development.
Throughout this course, participants will embark on an enriching journey through a diverse array of topics, immersing themselves in the intricate realm of data structures. From the rudimentary structures like arrays and linked lists to the more complex entities such as stacks, queues, hash tables, trees, graphs, heaps, and balanced trees, every facet is meticulously explored. Through a blend of interactive lectures, engaging discussions, and hands-on exercises, students not only grasp the theoretical underpinnings but also gain practical experience in implementing these structures efficiently.
The curriculum extends beyond mere data structures to encompass algorithmic design principles, equipping students with a diverse toolkit of problem-solving techniques. Furthermore, the course covers a broad spectrum of essential sorting and searching algorithms, empowering students with the ability to tackle diverse computational challenges. Additionally, graph algorithms like depth-first search (DFS), breadth-first search (BFS), and Dijkstra's algorithm are explored in depth, with a focus on understanding their practical applications in software engineering.
By the culmination of the course, students will emerge equipped with a robust foundation in data structures and algorithms, enabling them to write elegant, scalable code and navigate complex programming tasks with confidence. Whether they are aspiring software engineers seeking to kickstart their careers, seasoned developers aiming to refine their skill set, or individuals preparing for technical interviews or competitive programming competitions, this course caters to a wide spectrum of skill levels and career objectives.
Who this course is for:
Undergraduate or graduate students studying computer science, software engineering, or related fields who want to deepen their understanding of fundamental algorithms and data structures.
Individuals with a passion for coding and problem-solving who are eager to explore advanced topics in algorithms and data structures to improve their programming skills.
Enthusiasts or participants in programming competitions like ACM ICPC, Google Code Jam, or LeetCode who want to sharpen their algorithmic skills and improve their performance in competitive programming.
Individuals transitioning into careers in tech who want to build a strong foundation in algorithms and data structures to pursue roles in software development or data science.
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