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

Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, R Programming, Probability & Statistics, Predictive Modeling, Big Data, Automation, Computer Programming Tools, GitHub, Data Analysis Software, Machine Learning Algorithms, Unsupervised Learning
4.6
Rating, 4.6 out of 5 stars
111K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
National Taiwan University
計算機程式設計 (Computer Programming)
Skills you'll gain: Programming Principles, Computer Programming, C (Programming Language), Data Structures, Algorithms, Command-Line Interface, Debugging
4.8
Rating, 4.8 out of 5 stars
364 reviews
Mixed · Course · 1 - 3 Months
University of Cape Town
Julia Scientific Programming
Skills you'll gain: Box Plots, Jupyter, Statistical Analysis, Data Visualization, Plot (Graphics), Scientific Visualization, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Data Science, Other Programming Languages, Statistical Hypothesis Testing, Data Import/Export, Computer Programming, Mathematical Modeling, Package and Software Management
4.4
Rating, 4.4 out of 5 stars
433 reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Approximation Algorithms and Linear Programming
Skills you'll gain: Operations Research, Algorithms, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Computer Programming, Python Programming
Build toward a degree
4.9
Rating, 4.9 out of 5 stars
43 reviews
Advanced · Course · 1 - 4 Weeks
Johns Hopkins University
Data Science: Foundations using R
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, General Science and Research, Data Sharing, Statistical Reporting
4.6
Rating, 4.6 out of 5 stars
48K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Python for Data Science, AI & Development
Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming
4.6
Rating, 4.6 out of 5 stars
40K reviews
Beginner · Course · 1 - 3 Months
University of London
Introduction to Computer Science and Programming
Skills you'll gain: Computer Science, Computer Systems, Development Environment, Web Applications, Debugging, Graphing, Program Development, Computer Networking, Computational Thinking, Computer Programming Tools, Usability, Arithmetic, Applied Mathematics, Mathematical Modeling, Cybersecurity, Software Development Tools, Visualization (Computer Graphics), Computer Programming, Computer Graphics, Numerical Analysis
4.2
Rating, 4.2 out of 5 stars
1.5K reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Programming for Everybody (Getting Started with Python)
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
4.8
Rating, 4.8 out of 5 stars
231K reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Dynamic Programming, Greedy Algorithms
Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Logic, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Combinatorics, Programming Principles, Computer Programming, Computer Science, Graph Theory, Advanced Mathematics, Analysis, Emerging Technologies
4.6
Rating, 4.6 out of 5 stars
194 reviews
Advanced · Course · 1 - 4 Weeks
Meta
Programming with JavaScript
Skills you'll gain: Jest (JavaScript Testing Framework), Web Development Tools, Javascript, Unit Testing, Object Oriented Programming (OOP), Event-Driven Programming, Node.JS, JSON, Computer Programming, Data Structures, Development Testing, Debugging, Package and Software Management, Front-End Web Development, Functional Design
4.7
Rating, 4.7 out of 5 stars
4.6K reviews
Beginner · Course · 1 - 3 Months
Duke University
Java Programming: Solving Problems with Software
Skills you'll gain: Debugging, Java, Algorithms, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Data Manipulation, Object Oriented Programming (OOP), Data Analysis, Development Environment
4.6
Rating, 4.6 out of 5 stars
8K reviews
Beginner · Course · 1 - 3 Months
Google
Data Analysis with R Programming
Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Data Visualization Software, Data Cleansing, Statistical Analysis, Data Manipulation, Package and Software Management, Data Structures
4.8
Rating, 4.8 out of 5 stars
11K reviews
Beginner · Course · 1 - 3 Months