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Merge Sort Algorithm techniques

Track :

Computer Science

Lessons no : 6

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What will you learn in this course?
  • Master how to implement Merge Sort algorithm for efficient data sorting and analysis using divide and conquer techniques
  • Apply recursive functions and merging strategies to sort single and multi-dimensional arrays effectively
  • Optimize Merge Sort for large datasets, improving algorithm performance and reducing time complexity
  • Analyze and compare the time and space complexity of Merge Sort in various data structures and scenarios
  • Utilize Merge Sort in software development projects for improved data structure management and algorithmic problem-solving
  • Develop practical skills to handle real-world data sorting challenges using Merge Sort in programming languages

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Lessons | 6


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Related Courses

Merge Sort Algorithm, in this course you’ll explore the Merge Sort algorithm, a powerful and efficient sorting technique based on the Divide and Conquer approach. Learn how to break down data into smaller parts, sort them individually, and merge them back together to create a fully sorted list. This course covers the theoretical foundation, step-by-step implementation, and practical applications of Merge Sort. You’ll understand how to handle single and multi-dimensional arrays, optimize sorting for large datasets, and analyze the algorithm's time and space complexity. With hands-on examples, we’ll guide you through recursive functions, merging techniques, and space management. Perfect for beginners and advanced learners, this course equips you with essential skills for data structure optimization and algorithmic problem-solving, making it ideal for software development and data analysis projects.