What is parallel programming?

Parallel programming is a concept in computing where a computer uses its resources to solve a problem. The computer breaks the problem down into multiple steps in order to process more information at a time. Parallel programming allows a computer to complete tasks quickly and more efficiently than if the computer solved one section of the problem at a time. Your laptop or desktop computer, smartphone, and tablet rely on parallel programming to process data quickly, allowing you to get better and faster performance from them.

Why is it important to learn parallel programming?

If you're programming computer software or an application, relying on parallel programming allows you to create an app that's more responsive for users. Games run more quickly and are more fun when parallel programming allows you to play them in real-time. Internet searches are more efficient and accurate when the device you're on uses parallel programming to perform the search. Video looks smoother, and audio sounds better on devices that use parallel programming. In short, parallel programming makes the apps and sites that you use every day perform their best.

What career opportunities can arise from learning parallel programming?

If you're interested in changing to a career in computer programming, you can apply for software engineering and computer architecture engineering positions in cutting-edge technological companies. Once you've learned parallel programming, you'll be able to develop apps and software programs that run faster and more smoothly. Many cloud applications rely on parallel programming, so you can look for positions with companies developing this rapidly growing sector of technology.

How can online courses on Coursera help me learn parallel programming?

When you take online courses on Coursera in parallel programming, you'll learn from international experts from prestigious schools like École Polytechnique Fédérale de Lausanne and successful companies like Oracle Labs. Instructors from our partner organizations will give you a thorough grasp of the principles of parallel programming, as well as real-world applications. Once you've finished the course, you'll have confident knowledge that can lead you to a new, successful programming career. Best of all, you can learn at your own pace and on a schedule that fits your lifestyle.

What are the benefits of taking an online Parallel Programming course?

Online Parallel Programming courses offer a convenient and flexible way to enhance your knowledge or learn new Parallel Programming skills. Choose from a wide range of Parallel Programming courses offered by top universities and industry leaders tailored to various skill levels.

What Parallel Programming courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Parallel Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Parallel Programming Courses - Learn Parallel Programming Online

Explore the Parallel Programming Course Catalog

Status: Free
University of Toronto
Learn to Program: The Fundamentals
Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Software Design, Program Development, Integrated Development Environments, Data Structures, File Management
4.7
Rating, 4.7 out of 5 stars
6.6K reviews
Beginner · Course · 1 - 3 Months
University of California, Santa Cruz
C and Go: Classical and Modern Programming
Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C++ (Programming Language), Object Oriented Programming (OOP), Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Computer Science, Software Testing, Computational Thinking, File Management, Integration Testing, Software Technical Review, System Programming
4.5
Rating, 4.5 out of 5 stars
7.1K reviews
Intermediate · Specialization · 3 - 6 Months
Board Infinity
Fundamentals of Java Programming
Skills you'll gain: Eclipse (Software), Object Oriented Programming (OOP), Java Programming, Object Oriented Design, Software Development Tools, Java, Integrated Development Environments, Development Environment, Computer Programming, Programming Principles, Virtual Machines
4.4
Rating, 4.4 out of 5 stars
407 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Python Data Structures
Skills you'll gain: Data Structures, Python Programming, Data Manipulation, Development Environment, File Management, Data Analysis, Computer Programming, Software Installation
4.9
Rating, 4.9 out of 5 stars
96K reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Python for Everybody
Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Programming Principles, Data Cleansing, Data Structures, Data Storytelling, Data Collection, Computer Programming, Python Programming, Data Manipulation, Development Environment, Computational Thinking
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
277K reviews
Beginner · Specialization · 3 - 6 Months
University of California, Santa Cruz
Coding for Everyone: C and C++
Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Programming Principles, Data Structures, Computer Programming, Algorithms, Command-Line Interface, Software Design, Graph Theory, Computer Science, Program Development, Computational Thinking, Artificial Intelligence, Software Technical Review, File Management
4.5
Rating, 4.5 out of 5 stars
9.3K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Rust Programming
Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), ChatGPT, System Monitoring, MLOps (Machine Learning Operations), Data Structures
4
Rating, 4 out of 5 stars
181 reviews
Beginner · Specialization · 3 - 6 Months
Google
Foundations: Data, Data, Everywhere
Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Business Analytics, Spreadsheet Software, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, Ethical Standards And Conduct, SQL
4.8
Rating, 4.8 out of 5 stars
112K reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Data Science
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Python Basics
Skills you'll gain: Debugging, Python Programming, Data Structures, Computer Programming, Computer Graphics, Graphical Tools, Computational Thinking
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 4 Weeks
Status: [object Object]
IBM
IBM Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Data Manipulation, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
140K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of California, Santa Cruz
C, Go, and C++: A Comprehensive Introduction to Programming
Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Software Design, Graph Theory, Computer Science, Software Testing, Computational Thinking, File Management
4.5
Rating, 4.5 out of 5 stars
9.4K reviews
Intermediate · Specialization · 3 - 6 Months