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 Coursera Learning Team
32,727 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
Learn at your own pace
91%
Most learners liked this course
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
9 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.8
915 reviews
- 5 stars
83.64%
- 4 stars
12.86%
- 3 stars
2.39%
- 2 stars
0.65%
- 1 star
0.43%
Showing 3 of 915
YL
5
Reviewed on Nov 7, 2019
Good coverage. The lecturer and teaching stuff are knowledgeable and helpful. Would be better if the slides can have more details.
JC
4
Reviewed on Jun 11, 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.
MC
4
Reviewed on Jul 27, 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
University of California San Diego
Board Infinity
University of Colorado Boulder
Universidad Nacional Autónoma de México
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy