Coursera

Ordered Data Structures (Coursera)

Offered by University of Illinois at Urbana-Champaign,
Ordered Data Structures (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Course 2 of 3 in the Accelerated Computer Science Fundamentals Specialization.

Course Syllabus

Week 1: Orientation; Linear Structures
Week 2: Introduction to Tree Structures
Week 3: Advanced Tree Structures
Week 4: Heap Structures

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Principles of Computing (Part 2) (Coursera) Coursera
Rice University

Principles of Computing (Part 2) (Coursera)

CS: Software Engineering CS: Theory

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class.

Oct 5th 2026
4 Weeks
Programming Python Computing
Details
Estruturas de dados Python (Coursera) Coursera
University of Michigan

Estruturas de dados Python (Coursera)

CS: Software Engineering CS: Programming

Este curso apresentará as estruturas de dados centrais da linguagem de programação Python. Vamos superar os fundamentos da programação de procedimentos e explorar como podemos usar as estruturas de dados integradas do Python, como listas, dicionários e tuplas, para realizar análises de dados cada vez mais complexas. Este curso cobrirá os capítulos 6 a 10 do livro “Python para Todos”. Este curso aborda o Python 3.

Oct 5th 2026
5-12 Weeks
Programming Python Semantics
Details
Python Scripting: Dates, Classes and Collections (Coursera) Coursera
LearnQuest

Python Scripting: Dates, Classes and Collections (Coursera)

Computer Science

This course is the second course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the four main concepts in programming: Advanced String Operations and Dates, Modeling Classes, Development of Classes and Collections. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.

Sep 28th 2026
4 Weeks
Programming Python Data Structures
Details
Data Structures and Performance (Coursera) Coursera
University of California, San Diego

Data Structures and Performance (Coursera)

CS: Theory Data Science

How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. Efficiency is critical, but how do we achieve it, and how do we even measure it? This is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java).

Sep 21st 2026
5-12 Weeks
Programming Java Algorithms
Details
Algorithms on Strings (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Algorithms on Strings (Coursera)

CS: Software Engineering CS: Theory

World and internet is full of textual information. We search for information using textual queries, we read websites, books, e-mails. All those are strings from the point of view of computer science. To make sense of all that information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome.

Sep 21st 2026
4 Weeks
Algorithms Data Structures Strings
Details
Algorithmic Toolbox (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Algorithmic Toolbox (Coursera)

CS: Software Engineering CS: Theory

The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).

Sep 21st 2026
5-12 Weeks
Algorithms Debugging Data Structures
Details
Introduction to Java and Object-Oriented Programming (Coursera) Coursera
University of Pennsylvania

Introduction to Java and Object-Oriented Programming (Coursera)

CS: Programming

This course provides an introduction to the Java language and object-oriented programming, including an overview of Java syntax and how it differs from a language like Python. Students will learn how to write custom Java classes and methods, and how to test their code using unit testing and test-driven development. Topics include basic data structures like Arrays and ArrayLists and overloading methods.

Sep 28th 2026
3 Weeks
Java Data Structures Object-Oriented Programming
Details
Fundamental Tools of Data Wrangling (Coursera) Coursera
University of Colorado Boulder

Fundamental Tools of Data Wrangling (Coursera)

Statistics & Data Analysis Data Science

Data wrangling is a crucial step in the data analysis process, as it involves the transformation and preparation of raw data into a suitable format for analysis. The "Fundamental Tools for Data Wrangling" course is designed to provide participants with essential skills and knowledge to effectively manipulate, clean, and analyze data. Participants will be introduced to the fundamental tools commonly used in data wrangling, including Python, data structures, NumPy, and pandas. Through hands-on exercises and practical examples, participants will gain the necessary proficiency to work with various data formats and effectively prepare data for analysis.

Sep 28th 2026
5-12 Weeks
Python Data Structures IPython
Details
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them (Coursera) Coursera
Stanford University

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them (Coursera)

CS: Software Engineering CS: Theory

The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).

Sep 21st 2026
4 Weeks
Algorithms Data Structures Dynamic Programming
Details
Python Data Analysis (Coursera) Coursera
Rice University

Python Data Analysis (Coursera)

CS: Software Engineering CS: Programming

This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.

Sep 21st 2026
4 Weeks
Programming Python Data Structures
Details