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Algorithms for Searching, Sorting, and Indexing
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Algorithms for Searching, Sorting, and Indexing

Develop expertise in fundamental algorithms for data manipulation, organization, and analysis using Python, with hands-on projects and real-world applications.

Course Cost

Free course

Intermediate

Skill Level

34 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Foundations of Data Structures and Algorithms Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.7

43,883 Enrolled

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English

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Provider Logo
olive-leaves-logo

4.7

43,883 Enrolled

olive-leaves-logo

English

What you'll learn

  • Design and analyze fundamental searching and sorting algorithms

  • Implement heap data structures and priority queues

  • Develop efficient hash functions and hash tables

  • Master quicksort and quickselect algorithms

  • Apply advanced indexing techniques with Bloom filters

Skills you'll gain

Algorithm Analysis
Data Structures
Python Programming
Sorting Algorithms
Hash Tables
Heap Data Structures
Binary Search
QuickSort
Bloom Filters

This course includes:

9.8 Hours PreRecorded video

15 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course covers essential algorithms for searching, sorting, and indexing data. Students learn fundamental concepts through practical implementations in Python, including insertion sort, binary search, merge sort, heap data structures, hash tables, and advanced applications like Bloom filters. The course emphasizes both theoretical understanding through algorithm analysis and practical implementation skills.

Basics of Algorithms Through Searching and Sorting

Module 1 · 10 Hours to complete

Heaps and Hashtable Data Structures

Module 2 · 9 Hours to complete

Randomization: Quicksort, Quickselect, and Hashtables

Module 3 · 9 Hours to complete

Applications of Hashtables

Module 4 · 6 Hours to complete

Fee Structure

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Algorithms for Searching, Sorting, and Indexing

Intermediate

Skill Level

34 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.