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

Duke University
Java Programming: Solving Problems with Software
Skills you'll gain: Debugging, Java, Algorithms, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Object Oriented Programming (OOP), Data Analysis, Software Testing
4.6
Rating, 4.6 out of 5 stars
8K reviews
Beginner · Course · 1 - 3 Months
University of California, Irvine
The Arduino Platform and C Programming
Skills you'll gain: Embedded Software, Embedded Systems, Debugging, C (Programming Language), Electronic Hardware, Integrated Development Environments, Electronic Components, Development Environment, Computer Programming Tools, Computer Hardware, Computer Programming, Digital Communications
4.7
Rating, 4.7 out of 5 stars
7.1K reviews
Mixed · Course · 1 - 4 Weeks
University of Michigan
Applied Data Science with Python
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis
4.5
Rating, 4.5 out of 5 stars
34K reviews
Intermediate · Specialization · 3 - 6 Months
École Polytechnique Fédérale de Lausanne
Big Data Analysis with Scala and Spark
Skills you'll gain: Apache Spark, Apache Hadoop, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Functional Design, Data Analysis
4.6
Rating, 4.6 out of 5 stars
2.6K reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Introduction to R Programming for Data Science
Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments
4.5
Rating, 4.5 out of 5 stars
563 reviews
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Accelerated Computer Science Fundamentals
Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Engineering Software, Computer Programming, Software Engineering, Algorithms, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Theoretical Computer Science, Data Storage
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Intermediate · Specialization · 1 - 3 Months
University of California, Santa Cruz
C for Everyone: Programming Fundamentals
Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Software Technical Review, Algorithms
4.5
Rating, 4.5 out of 5 stars
6.6K reviews
Beginner · Course · 1 - 3 Months
LearnQuest
Core Java
Skills you'll gain: Java Programming, Spring Framework, Java, Eclipse (Software), Object Oriented Programming (OOP), Object Oriented Design, Integrated Development Environments, Development Environment, Java Platform Enterprise Edition (J2EE), Software Design, Software Installation, Computer Programming, Programming Principles, Program Development, Virtual Machines, Debugging, Package and Software Management, Data Structures, File Management
4.6
Rating, 4.6 out of 5 stars
2.6K reviews
Intermediate · Specialization · 3 - 6 Months
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 Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
LearnQuest
Introduction to Java
Skills you'll gain: Eclipse (Software), Java, Java Programming, Integrated Development Environments, Development Environment, Software Installation, Computer Programming, Programming Principles, Program Development, Object Oriented Programming (OOP)
4.6
Rating, 4.6 out of 5 stars
2.1K reviews
Beginner · Course · 1 - 4 Weeks
Vanderbilt University
Introduction to Programming with MATLAB
Skills you'll gain: Matlab, Computer Programming, Programming Principles, UI Components, Software Design, Debugging, Mathematical Software, Development Environment, Computer Science, File Management, Algorithms, Data Import/Export, Data Structures, Engineering Calculations, Plot (Graphics), Data Management
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
University of Pennsylvania
Introduction to Python Programming
Skills you'll gain: Data Structures, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Scripting, Software Development Tools, Integrated Development Environments, Data Import/Export, Jupyter, File Management
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 4 Weeks