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Updated in [April 29th, 2023]

This course provides an in-depth examination of RxJS unit testing in an Angular application. It covers the simplest async testing using Jasmine's 'done' callback, all potential techniques for unit testing RxJS code in Angular, testing with fake time (RxJS VirtualTimeScheduler) and virtual time (RxJS VirtualTimeScheduler) (Angular fakeAsync helper), and utilizing the AsyncScheduler/delegate technique to avoid using additional arguments in test methods. It also covers the difference between TestScheduler and VirtualTimeScheduler, how to utilise progressive time syntax in marble diagrams and what is marble testing, how to use wrapper libraries like jasmine-marbles and rxjs-marbles to reduce code boilerplate, and the difference between using TestScheduler flush() and using the new TestScheduler run() function for testing. All code in the accompanying Angular sample project has been reviewed.

[Applications]
The application of this course can be seen in the development of Angular applications. After completing this course, developers can use the techniques learned to unit test RxJS code in Angular applications. This includes using Jasmine's 'done' callback for simplest async testing, utilizing the AsyncScheduler/delegate technique to avoid using additional arguments in test methods, understanding the difference between TestScheduler and VirtualTimeScheduler, using progressive time syntax in marble diagrams, and using wrapper libraries like jasmine-marbles and rxjs-marbles to reduce code boilerplate. Additionally, developers can use the TestScheduler flush() and run() functions for testing.

[Career Paths]
1. Front-End Developer: Front-end developers are responsible for creating the user interface of a website or application. They use HTML, CSS, and JavaScript to create the look and feel of a website or application. They also need to be familiar with frameworks such as Angular, React, and Vue.js. Front-end developers are in high demand as more and more companies are creating web and mobile applications.

2. Software Engineer: Software engineers are responsible for designing, developing, and testing software applications. They need to be familiar with a variety of programming languages and frameworks, such as Java, C++, and Python. They also need to be familiar with databases and web technologies. Software engineers are in high demand as companies are increasingly relying on software to run their businesses.

3. Data Scientist: Data scientists are responsible for analyzing large amounts of data and extracting insights from it. They need to be familiar with a variety of data analysis tools and techniques, such as machine learning and natural language processing. Data scientists are in high demand as companies are increasingly relying on data to make decisions.

4. DevOps Engineer: DevOps engineers are responsible for automating the software development process. They need to be familiar with a variety of tools and techniques, such as continuous integration and continuous delivery. DevOps engineers are in high demand as companies are increasingly relying on automation to speed up the software development process.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, such as programming, algorithms, data structures, and software engineering. It also covers topics such as artificial intelligence, machine learning, and computer networks. This degree path is becoming increasingly popular as technology advances and more businesses rely on computer systems.

2. Master of Science in Software Engineering: This degree path focuses on the development of software applications and systems. It covers topics such as software design, software architecture, software testing, and software project management. This degree path is becoming increasingly popular as businesses rely on software applications to run their operations.

3. Bachelor of Science in Information Technology: This degree path focuses on the use of technology to solve business problems. It covers topics such as database management, web development, network security, and system administration. This degree path is becoming increasingly popular as businesses rely on technology to improve their operations.

4. Master of Science in Data Science: This degree path focuses on the analysis of large datasets. It covers topics such as data mining, machine learning, and data visualization. This degree path is becoming increasingly popular as businesses rely on data to make decisions and improve their operations.