Quick Sort Quick Sort Program in C sorting algorithms Great Learning
QuickSort is an efficient sorting algorithm developed by Tony Hoare in 1959. It is based on the Divide-and-Conquer concept, where the arrays are split into smaller sub-arrays and sorted recursively. Great Learning has a video tutorial on QuickSort Algorithm Using C, which explains the concept and provides a program for implementation. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
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Updated in [February 21st, 2023]
This course provides an introduction to the QuickSort algorithm, a powerful and efficient sorting algorithm. Learners will gain an understanding of the concept of Divide-and-Conquer, the QuickSort algorithm, its implementation, analysis, and time/space complexity. Through demonstrations and examples, learners will be able to understand the QuickSort algorithm and its application.
Possible Development Paths include software engineering, computer science, data science, and artificial intelligence. Learners can also pursue further studies in algorithms and data structures.
Learning Suggestions for learners include studying other sorting algorithms such as Heapsort and Merge Sort, as well as other algorithms such as Binary Search and Linear Search. Learners can also explore other topics related to algorithms such as graph theory, dynamic programming, and computational complexity. Additionally, learners can practice coding and problem-solving skills to further their understanding of algorithms.
[Applications]
After completing this course, learners can apply the knowledge gained to implement QuickSort algorithms in their own projects. They can also use the concepts to analyze the time and space complexity of the algorithms. Additionally, learners can use the knowledge to compare the efficiency of QuickSort algorithms with other sorting algorithms.
[Career Paths]
1. Software Engineer: Software engineers are responsible for developing, testing, and maintaining software applications. They use programming languages and development tools to create software solutions that meet customer needs. As technology advances, software engineers must stay up-to-date on the latest trends and tools in order to create efficient and effective software solutions.
2. Data Scientist: Data scientists are responsible for analyzing large amounts of data and using it to make informed decisions. They use a variety of techniques, such as machine learning, to uncover patterns and insights from data. As data becomes more and more important in the business world, data scientists are in high demand.
3. Algorithm Developer: Algorithm developers are responsible for designing and implementing algorithms to solve complex problems. They must have a deep understanding of algorithms and data structures, as well as the ability to think critically and solve problems. As algorithms become more and more important in the world of technology, algorithm developers are in high demand.
4. Machine Learning Engineer: Machine learning engineers are responsible for developing and deploying machine learning models. They must have a deep understanding of machine learning algorithms and techniques, as well as the ability to develop and deploy models. As machine learning becomes more and more important in the world of technology, machine learning engineers are in high demand.
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