离散数学概论 Discrete Mathematics Generality (Coursera)

Coursera

LearnQuest

Integrating Test-Driven Development into Your Workflow (Coursera)

Computer Science

In this course we will discuss how to integrate best practices of test-driven development into your programming workflow. We will start out by discussing how to refactor legacy codebases with the help of agile methodologies. Then, we will explore continuous integration and how to write automated tests in Python. Finally, we will work everything we've learned together to write code that contains error handlers, automated tests, and refactored functions.

Nov 2nd 2026

4 Weeks

Computer Science Methodologies Agile Methodologies

Details

Coursera

University of Minnesota

User Research and Design (Coursera)

CS: Design & Product Computer Science

In this course you will learn and practice techniques of user research and early UI design exploration. First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques. Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios. Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.

Nov 2nd 2026

4 Weeks

Research Methods Computer Science UI Design

Details

Coursera

LearnQuest

Test-Driven Development Overview (Coursera)

Marketing & Communication

In this introductory course you will get both a full overview of what TDD is, when it can and can't be applied, and what its benefits are for practitioners and organizations. You will also have the opportunity to get hands on with a few fun introductory projects where you can apply what you have learned and experience the benefits of this approach to problem solving yourself.

Nov 2nd 2026

4 Weeks

Computer Science Organizations Software Development

Details

Coursera

EDHEC Business School

Python and Machine Learning for Asset Management (Coursera)

Economics & Finance Data Science

This course will enable you mastering machine-learning approaches in the area of investment management. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. Starting from the basics, they will help you build practical skills to understand data science so you can make the best portfolio decisions.

Nov 2nd 2026

5-12 Weeks

Programming Python Machine Learning

Details

Coursera

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

Introduction to Graph Theory (Coursera)

CS: Software Engineering CS: Theory

We invite you to a fascinating journey into Graph Theory — an area which connects the elegance of painting and the rigor of mathematics; is simple, but not unsophisticated. Graph Theory gives us, both an easy way to pictorially represent many major mathematical results, and insights into the deep theories behind them. In this course, among other intriguing applications, we will see how GPS systems find shortest routes, how engineers design integrated circuits, how biologists assemble genomes, why a political map can always be colored using a few colors. We will study Ramsey Theory which proves that in a large system, complete disorder is impossible!

Nov 2nd 2026

5-12 Weeks

Network Algorithms Genomes

Details

Coursera

Rice University

Algorithmic Thinking (Part 1) (Coursera)

CS: Theory

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Nov 2nd 2026

4 Weeks

Python Computing Algorithms

Details

Coursera

EIT Digital

Architecting Smart IoT Devices (Coursera)

Security & Networking

This course will teach you how to develop an embedded systems device. In order to reduce the time to market, many pre-made hardware and software components are available today. You'll discover all the available hardware and software components, such as processor families, operating systems, boards and networks. You'll also learn how to actually use and integrate these components.

Nov 16th 2026

5-12 Weeks

Software Debugging Hardware

Details

Coursera

University of Toronto

Motion Planning for Self-Driving Cars (Coursera)

Computer Science

Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning. By the end of this course, you will be able to find the shortest path over a graph or road network using Dijkstra's and the A* algorithm, use finite state machines to select safe behaviors to execute, and design optimal, smooth paths and velocity profiles to navigate safely around obstacles while obeying traffic laws.

Nov 2nd 2026

5-12 Weeks

Computer Science Vehicle Dynamics Autonomous Navigation

Details

Coursera

Rice University

Principles of Computing (Part 1) (Coursera)

CS: Software Engineering

This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course. We will augment those skills with both important programming practices and critical mathematical problem solving skills. These skills underlie larger scale computational problem solving and programming.

Nov 2nd 2026

5-12 Weeks

Programming Python Probability

Details

Coursera

University of Virginia

Hypothesis-Driven Development (Coursera)

CS: Design & Product

To deliver agile outcomes, you have to do more than implement agile processes- you have to create focus around what matters to your user and constantly test your ideas. This is easier said than done, but most of today’s high-functioning innovators have a strong culture of experimentation. In this course, you’ll learn how to identify the right questions at the right time, and pair them with the right methods to do just enough testing to make sure you minimize waste and maximize the outcomes you create with your user.

Nov 2nd 2026

4 Weeks

Agile Hypothesis Computer Science

Details

Coursera

LearnQuest

Foundations of Computer Science (Coursera)

CS: Software Engineering Computer Science

Welcome to Introduction to Programming: Visual Basic. In the course sequence you will learn to write programs that utilize both procedural and object oriented techniques to solve business problems. In the first course in the sequence we will provide you with a solid foundation in the computer science topics that are important to understand when programming Visual Basic. In courses two through four, we will role up our sleeves and start coding in Visual Basic. In these courses you need to have access to a computer that is running Windows, macOS or Linux with the .NET 5 installed. We will show you how to install .NET 5.

Nov 2nd 2026

4 Weeks

Computing Algorithms Databases

Details

Coursera

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

Combinatorics and Probability (Coursera)

CS: Theory Sci: Mathematics

Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something, can we do anything better than just counting all objects one by one? Do we need to create a list of all phone numbers to ensure that there are enough phone numbers for everyone? Is there a way to tell that our algorithm will run in a reasonable time before implementing and actually running it? All these questions are addressed by a mathematical field called Combinatorics.

Nov 2nd 2026

5-12 Weeks

Probability Combinatorics Algorithms

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