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

Johns Hopkins University
Advanced R Programming
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Data Analysis Software, Programming Principles, Data Structures, Computational Thinking, Software Development, Performance Tuning
4.2
Rating, 4.2 out of 5 stars
574 reviews
Intermediate · Course · 1 - 3 Months
Dartmouth College
C Programming: Getting Started - 1
Skills you'll gain: C (Programming Language), Software Documentation, Programming Principles, Computer Programming, Embedded Software, Debugging
4.6
Rating, 4.6 out of 5 stars
247 reviews
Beginner · Course · 1 - 3 Months
University of Michigan
C Programming for Everybody
Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Secure Coding, Algorithms, Computer Programming, Software Design, Application Security, System Programming, Python Programming, Maintainability, Java, Performance Tuning, Numerical Analysis, Unix, Computer Science, Computer Programming Tools, Debugging
4.5
Rating, 4.5 out of 5 stars
150 reviews
Intermediate · Specialization · 3 - 6 Months
University of California San Diego
Object Oriented Programming in Java
Skills you'll gain: Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, Object Oriented Programming (OOP), User Interface (UI), Computer Programming, Algorithms, Graphical Tools, Software Engineering, Data Structures, Programming Principles, Software Documentation, Development Environment, Debugging
4.7
Rating, 4.7 out of 5 stars
5.8K reviews
Intermediate · Course · 1 - 3 Months
École Polytechnique Fédérale de Lausanne
Big Data Analysis with Scala and Spark
Skills you'll gain: Apache Spark, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Analysis
4.6
Rating, 4.6 out of 5 stars
2.6K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Ball State University
Introduction to Programming
Skills you'll gain: Program Development, Data Analysis, Programming Principles, Statistical Analysis, Computer Programming, Analytics, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Scripting, Computational Thinking, NumPy, Algorithms, Data Processing, Debugging, Data Structures
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months
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
97K reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Applied Data Science with Python
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis, Data Processing, Unstructured Data
4.5
Rating, 4.5 out of 5 stars
34K reviews
Intermediate · Specialization · 3 - 6 Months
University of Michigan
Programming in C
Skills you'll gain: C (Programming Language), Programming Principles, Algorithms, Data Structures, System Programming, Computer Programming, Numerical Analysis
4.5
Rating, 4.5 out of 5 stars
50 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Software Development Tools, Data Science, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
71K reviews
Beginner · Specialization · 3 - 6 Months
Stanford University
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science, Computer Science
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Data Cleansing, Data Visualization Software, Software Development Tools, GitHub, Business Analysis, Cloud Computing, Data Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
98K reviews
Beginner · Specialization · 3 - 6 Months