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Using Efficient Sorting Algorithms in Java to Arrange Tax Data
Coursera Project Network

Using Efficient Sorting Algorithms in Java to Arrange Tax Data

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(96 reviews)

What you'll learn

  • Learn how to analyze a sorting algorithm and choose the best one for the situation

  • Discover how to implement industry standard algorithms that depend on fundamentals of Java

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Taught in English

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(96 reviews)

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Learners will be introduced to the overall structure of the program and understand how we will be importing the data set.

  2. Students will learn how to find and interpret the Big-Oh complexity of an algorithm

  3. Students will discover situations where bubble sort is ideal, and learn how to implement bubble sort in Java with the dataset.

  4. Students will discover situations where insertion sort is ideal, and learn how to implement insertion sort in Java with the dataset.

  5. Students will discover situations where selection sort is ideal, and learn how to implement selection sort in Java with the dataset.

  6. Students will discover situations where mergesort is ideal, and learn how to implement mergesort in Java with the dataset.

  7. Students will discover situations where quicksort is ideal, and learn how to implement quicksort in Java with the dataset.

Recommended experience

Students should understand objects, loops, methods, and arrays in Java. In addition, knowledge of big O notation is helpful, but not required.

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Instructor

Anirudh Balasubramanian
Coursera Project Network
5 Courses36,071 learners

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How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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4.5

96 reviews

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    3.12%

VS
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Reviewed on Jun 15, 2020

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