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
Access provided by New York State Department of Labor
32,792 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(915 reviews)
18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
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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
915 reviews
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YW
4
Reviewed on Oct 23, 2019
The lectures are good and elaborate. Some of the exercises are very confusing though. Overall a good introduction to data structures.
YC
5
Reviewed on Oct 26, 2020
Well-taught course! I love the instructor's enthusiasm and great explanations. The exercises are diverse and really help you reinforce your understanding.
JA
5
Reviewed on Feb 28, 2021
Excellent course, excellent teacher. Just the right approach to teaching data structures, Ive seen a few videos in the topic and this course is very good.
Recommended if you're interested in Computer Science
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