Coursera

Unordered Data Structures (Coursera)

Offered by University of Illinois at Urbana-Champaign,

The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a number (such as a memory address for cached memory), a URL (such as for a web cache) or a dictionary.

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

Graphs are used to represent relationships between items, and this course covers several different data structures for representing graphs and several different algorithms for traversing graphs, including finding the shortest route from one node to another node. These graph algorithms will also depend on another concept called disjoint sets, so this course will also cover its data structure and associated algorithms.
Course 3 of 3 in the Accelerated Computer Science Fundamentals Specialization

Syllabus

WEEK 1: Orientation; Hashing
WEEK 2: Disjoint Sets
WEEK 3: Graph Data Structures
WEEK 4: Graph Algorithms

Go to Class

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

Related Courses

Coursera

University of California, San Diego

Mastering the Software Engineering Interview (Coursera)

CS: Software Engineering

You’ve hit a major milestone as a computer scientist and are becoming a capable programmer. You now know how to solve problems, write algorithms, and analyze solutions; and you have a wealth of tools (like data structures) at your disposal. You may now be ready for an internship or (possibly) an entry-level software engineering job. But can you land the internship/job? It depends in part on how well you can solve new technical problems and communicate during interviews. How can you get better at this? Practice!

Jun 1st 2026

4 Weeks

Algorithms Object-Oriented Software Engineering

Coursera

University of Illinois at Urbana-Champaign

Cluster Analysis in Data Mining (Coursera)

Statistics & Data Analysis Data Science

Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications.

Jun 1st 2026

4 Weeks

Algorithms Clustering Data Mining

Coursera

EIT Digital

Development of Real-Time Systems (Coursera)

CS: Software Engineering

This course is intended for the Master's student and computer engineer who likes practical programming and problem solving! After completing this course, you will have the knowledge to plan and set-up a real-time system both on paper and in practice. The course centers around the problem of achieving timing correctness in embedded systems, which means to guarantee that the system reacts within the real-time requirements.

Jun 1st 2026

5-12 Weeks

Programming Computing Algorithms

Coursera

University of California, San Diego,Higher School of Economics - HSE University

Algorithms on Graphs (Coursera)

CS: Software Engineering CS: Theory

If you have ever used a navigation service to find optimal route and estimate time to destination, you've used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks! If you're looking for the fastest time to get to work, cheapest way to connect set of computers into a network or efficient algorithm to automatically find communities and opinion leaders in Facebook, you're going to work with graphs and algorithms on graphs.

Jun 1st 2026

5-12 Weeks

Algorithms Data Structures Graphs

Coursera

Duke University

Data Engineering with Rust (Coursera)

Data Science

Are you a data engineer, software developer, or a tech enthusiast with a basic understanding of Rust, seeking to enhance your skills and dive deep into the realm of data engineering with Rust? Or are you a professional from another programming language background, aiming to explore the efficiency, safety, and concurrency features of Rust for data engineering tasks? If so, this course is designed for you.

Jun 4th 2026

4 Weeks

Data Structures Software Testing Data Processing

Coursera

Princeton University

Algorithms, Part I (Coursera)

CS: Software Engineering CS: Theory

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

Jun 1st 2026

5-12 Weeks

Programming Java Algorithms

Coursera

University of Minnesota

Nearest Neighbor Collaborative Filtering (Coursera)

Data Science

In this course, you will learn the fundamental techniques for making personalized recommendations through nearest-neighbor techniques. First you will learn user-user collaborative filtering, an algorithm that identifies other people with similar tastes to a target user and combines their ratings to make recommendations for that user.

Jun 1st 2026

4 Weeks

Algorithms Machine Learning Data Science

Coursera

University of Washington

Machine Learning: Regression (Coursera)

Statistics & Data Analysis Data Science

Case Study - Predicting Housing Prices. In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied. Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression.

Jun 1st 2026

5-12 Weeks

Python Algorithms Machine Learning

Coursera

University of Illinois at Urbana-Champaign

Object-Oriented Data Structures in C++ (Coursera)

CS: Programming Computer Science

This course teaches learners how to write a program in the C++ language, including how to set up a development environment for writing and debugging C++ code and how to implement data structures as C++ classes. It is the first course in the Accelerated CS Fundamentals specialization, and subsequent courses in this specialization will be using C++ as the language for implementing the data structures covered in class.

Jun 3rd 2026

4 Weeks

C++ Data Structures Accelerated Computer Science Fundamentals Specialization

Coursera

University of California, San Diego

Advanced Data Structures in Java (Coursera)

CS: Programming Computer Science

How does Google Maps plan the best route for getting around town given current traffic conditions? How does an internet router forward packets of network traffic to minimize delay? How does an aid group allocate resources to its affiliated local partners? To solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.

Jun 1st 2026

5-12 Weeks

Programming Java Algorithms

Coursera

University of California, San Diego,Higher School of Economics - HSE University

What is a Proof? (Coursera)

CS: Software Engineering CS: Theory

Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important tools used in discrete mathematics: induction, recursion, logic, invariants, examples, optimality. We will use these tools to answer typical programming questions like: How can we be certain a solution exists? Am I sure my program computes the optimal answer? Do each of these objects meet the given requirements?

Jun 1st 2026

5-12 Weeks

Math Programming Algorithms

Coursera

University of Colorado System

Algorithms, Data Collection, and Starting to Code (Coursera)

CS: Software Engineering Computer Science

This course starts you on your journey learning about computational thinking and beginning C programming. If you’d like to explore how we can interact with the world in a rigorous, computational way, and would also like to start learning to program, this is the course for you!

Jun 1st 2026

4 Weeks

Algorithms Data Collection Computational Thinking with Beginning C Programming Specialization