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

IBM
Applied Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Import/Export, Predictive Modeling, Web Scraping, Automation, Data Science, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
58K reviews
Beginner · Specialization · 3 - 6 Months
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling
4.9
Rating, 4.9 out of 5 stars
28K reviews
Beginner · Course · 1 - 4 Weeks
IBM
AI Foundations for Everyone
Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, Generative AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, IBM Cloud, Private Cloud, Data Loss Prevention, Applied Machine Learning, Deep Learning, WordPress, Artificial Neural Networks, Governance, Machine Learning, Generative AI Agents, Automation, Digital Transformation
4.7
Rating, 4.7 out of 5 stars
27K reviews
Beginner · Specialization · 3 - 6 Months
IBM
IBM Data Analytics with Excel and R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28K reviews
Beginner · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Advanced R Programming
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning
4.2
Rating, 4.2 out of 5 stars
574 reviews
Intermediate · Course · 1 - 3 Months
École Polytechnique Fédérale de Lausanne
Effective Programming in Scala
Skills you'll gain: Scala Programming, Data Validation, Object Oriented Programming (OOP), Build Tools, Debugging, Maintainability, Software Design Patterns, Development Environment, Unit Testing, Data Structures, Data Modeling
4.6
Rating, 4.6 out of 5 stars
175 reviews
Intermediate · Course · 1 - 3 Months
University of Pennsylvania
Computational Thinking for Problem Solving
Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Debugging
4.7
Rating, 4.7 out of 5 stars
1.4K reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Getting Started with R
Skills you'll gain: Data Import/Export, Package and Software Management, R Programming, Data Structures, Data Literacy, Software Installation, Data Analysis Software
4.3
Rating, 4.3 out of 5 stars
380 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Pennsylvania
Introduction to Programming with Python and Java
Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking
4.5
Rating, 4.5 out of 5 stars
1.8K reviews
Beginner · Specialization · 3 - 6 Months
Dartmouth College
C Programming: Getting Started - 1
Skills you'll gain: C (Programming Language), Software Documentation, Programming Principles, Computer Programming, Embedded Software, Debugging, Development Environment
4.6
Rating, 4.6 out of 5 stars
248 reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Programming in C
Skills you'll gain: C (Programming Language), Programming Principles, C++ (Programming Language), Algorithms, Data Structures, Other Programming Languages, System Programming, Numerical Analysis
4.5
Rating, 4.5 out of 5 stars
54 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Ball State University
Introduction to Programming
Skills you'll gain: Data Analysis, Statistical Analysis, Computer Programming, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, NumPy, Debugging, Data Structures
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months