In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. Such data includes an alphabetical list of names, a family tree, a calendar of events or an inventory organized by part numbers. The specific data structures covered by this course include arrays, linked lists, queues, stacks, trees, binary trees, AVL trees, B-trees and heaps. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data.
Ordered Data Structures
Ordered Data Structures
This course is part of Accelerated Computer Science Fundamentals Specialization
Instructor: Wade Fagen-Ulmschneider
Sponsored by Syrian Youth Assembly
32,400 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(913 reviews)
18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
91%
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Assessments
9 assignments
Taught in English
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This course is part of the Accelerated Computer Science Fundamentals Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
What's included
6 videos6 readings3 assignments1 programming assignment
What's included
5 videos1 reading2 assignments
What's included
5 videos1 reading2 assignments1 programming assignment
What's included
5 videos1 reading2 assignments
Instructor
Instructor ratings
4.8 (187 ratings)Offered by
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4.8
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JC
4
Reviewed on Jun 10, 2021
Good quick introduction to ordered data structures. I think this course be well served with a bit more theory explaining the big O justifications.
AM
4
Reviewed on Nov 4, 2020
Really good course, Makes you understand the intuition of the data structures pretty clear. The exams and assignment for week 4 seems a bit rushed, Could have been better
MC
4
Reviewed on Jul 26, 2020
It covers a lot of material in a short span of time, so retention is key. Make sure to take a lot of notes and give yourself some time to really process all the material from each week.
Recommended if you're interested in Computer Science
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