# Sorting Algorithms: From Basics to Pro

Gain deep insights into sorting algorithms from basic to advanced levels.
Free tutorial
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530 students
1hr 37min of on-demand video
English
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Learn fundamental sorting algorithms including Bubble Sort, Insertion Sort, and Selection Sort.
Acquire expertise in advanced comparison-based sorting techniques like Quick Sort, Heap Sort, and Merge Sort.
Proof of the lower bound of time complexity for comparison-based sorting algorithms.
Proof of the average-case time complexity for the Quick Sort algorithm.
The course includes a lesson on understanding external sorting.

## Requirements

• Minimal programming skills suffice for pseudocode.
• Math skills from high school aid theory learning.

## Description

Welcome to "Sorting Algorithms: From Basics to Pro," a streamlined course crafted for those passionate about mastering sorting algorithms. Ideal for computer science students, software developers, and professionals, this course offers a thorough understanding of sorting from basic methods to advanced techniques and their theoretical underpinnings.

The journey begins with an introduction to the importance of sorting, setting the stage for the in-depth study to come. You'll start with the Fundamental Sorting Algorithms, learning the mechanics of Bubble Sort, Insertion Sort, and Selection Sort through theory and animated examples.

As you progress, the High-Performance Sorting section delves into Quick Sort, Heap Sort, and Merge Sort. These powerful algorithms handle large datasets with ease, and you'll explore their advanced concepts and applications.

The course also covers Disk-Based Sorting Strategies for managing large datasets outside of main memory, teaching you external sorting techniques. In the Non-Comparative Sorting segment, you'll discover Counting Sort, Bucket Sort, and Radix Sort, which provide alternative approaches based on data characteristics.

Finally, the Theoretical Foundations section equips you with a deeper understanding of sorting algorithms' performance through the study of QuickSort's average case and the lower bound of time complexity.

By the end of this course, you'll have a solid grasp of various sorting algorithms, ready to apply and optimize them in real-world scenarios. Embark on this educational path and become proficient in sorting algorithms, transforming into an informed practitioner in the field.

## Who this course is for:

• Computer Science Students: Grasping sorting algorithms is vital for their studies.
• Software Developers: Optimize code with sorting techniques.
• Algorithm Enthusiasts: Gain in-depth sorting technique insights.
• IT Professionals: Apply sorting for data efficiency.

## Instructor

Professional in coding & computer science, ready to teach!
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• 530 Students
• 1 Course

As a seasoned programmer with more than ten years of commercial experience, I have developed a profound respect for the synergy of theory and practical application. I am a staunch advocate for the necessity of understanding the fundamental principles of computer science, as well as honing the skill of coding. In my online courses on Udemy, my ambition is to seamlessly integrate explicit instruction of theoretical concepts with comprehensive programming tasks that are designed to thrive within a commercial environment. My courses go beyond simple instruction; they provide implementation and source codes for students to test and manipulate independently. My enduring passion lies within computer science, algorithms, and data structures. Rather than simply assigning programming tasks, I provide exemplary implementation of explained algorithms and data structures. I eagerly anticipate sharing my passion with my students, aiding them in their journey of learning and mastering programming.