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Data structures and programming algorithms

Track :

Programming

Lessons no : 106

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What will you learn in this course?
  • Master how to implement and analyze fundamental data structures like arrays, linked lists, stacks, and queues for efficient data management
  • Design and apply advanced data structures such as trees, graphs, and hash tables to solve complex computational problems
  • Develop optimized algorithms for searching, sorting, and data manipulation to improve program performance and scalability
  • Evaluate algorithm efficiency using Big O notation to select the best approach for specific programming challenges
  • Implement recursive and iterative algorithms to solve problems with optimal time and space complexity
  • Apply dynamic programming techniques to optimize solutions for complex, multi-stage problems
  • Utilize graph algorithms like traversal, shortest path, and network flow for real-world applications in social networks and logistics
  • Create and analyze algorithms for data compression, encryption, and error detection to enhance data security and integrity
  • Solve real-world problems by designing algorithms for pattern matching, string processing, and computational geometry
  • Implement and compare different sorting algorithms to choose the most efficient method for large datasets
  • Use data structures and algorithms to develop scalable software solutions for databases and web applications
  • Apply algorithmic problem-solving strategies to competitive programming and coding interviews
  • Optimize code performance by understanding memory management and algorithmic trade-offs in programming languages
  • Develop skills to analyze and improve existing algorithms for better efficiency and resource utilization
  • Integrate data structures and algorithms in software development projects to build robust, high-performance applications
  • Understand the importance of algorithm design principles in creating maintainable and reusable code

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Lessons | 106
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A data structure is a named location that can be used to store and organize data. And, an algorithm is a collection of steps to solve a particular problem. Learning data structures and algorithms allow us to write efficient and optimized computer programs .